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Toyoshima N, Mizuguchi Y, Takamaru H, Nakamura K, Kakugawa Y, Sakamoto T, Shiroyama M, Kawagoe R, Tsuchiya K, Shinmura K, Ikematsu H, Inaba A, Minakata N, Hotta K, Imai K, Takada K, Ito S, Misawa M, Wakamura K, Kudo SE, Tamai N, Sumiyama K, Ito M, Uraoka T, Tomaru S, Matsuda T, Fujimoto A, Shibata T, Saito Y. The Efficacy of Texture and Color Enhancement Imaging Observation in the Detection of Colorectal Lesions: A Multicenter, Randomized Controlled Trial (deTXIon Study). Gastroenterology 2025:S0016-5085(25)00524-4. [PMID: 40113100 DOI: 10.1053/j.gastro.2025.03.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2024] [Revised: 02/04/2025] [Accepted: 03/01/2025] [Indexed: 03/22/2025]
Abstract
BACKGROUND & AIMS Colonoscopy is the gold standard for detecting and resecting adenomas and early-stage cancers to reduce colorectal cancer (CRC) incidence and mortality rates. This study aimed to confirm the superiority of texture and color enhancement imaging (TXI) over white light imaging (WLI) in detecting colorectal lesions. METHODS This randomized controlled trial was conducted at 8 Japanese institutions between March 2023 and October 2023. Participants aged 40 to 80 years old scheduled for CRC screening and nonscreening purposes, such as postpolypectomy surveillance, positive fecal occult blood test results, and abdominal symptoms, were included. We used only the latest model colonoscopes and performed observations in each arm of the TXI model and WLI. The primary end point was the mean number of adenomas detected per procedure. Secondary end points included the adenoma detection rate, polyp detection rate, flat polyp detection rate, and adverse events. RESULTS A total of 956 patients were enrolled and randomized. After patients who did not meet the eligibility criteria were excluded, 451 and 445 patients were included in the TXI and WLI arms, respectively. The mean number of adenomas detected per procedure was 1.4 and 1.5 and the adenoma detection rate was 57.2% and 56.0% in TXI and WLI, respectively, and there were no statistically significant differences between 2 arms. The polyp detection rate and flat polyp detection rate were significantly higher in TXI than in WLI, which were 82.5% vs 74.4% (P = .003), and 76.5% vs 70.3% (P = .036), respectively. CONCLUSIONS This study did not demonstrate the superiority of TXI over WLI in detecting neoplastic lesions. However, TXI may be effective in detecting flat polyps. CLINICAL TRIAL REGISTRATION jRCT1032230089.
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Affiliation(s)
- Naoya Toyoshima
- Endoscopy Division, National Cancer Center Hospital, Tokyo, Japan
| | | | | | - Keiko Nakamura
- Endoscopy Division, National Cancer Center Hospital, Tokyo, Japan
| | - Yasuo Kakugawa
- Endoscopy Division, National Cancer Center Hospital, Tokyo, Japan
| | - Taku Sakamoto
- Department of Gastroenterology, University of Tsukuba Hospital, Tsukuba, Ibaraki, Japan
| | - Mamiko Shiroyama
- Department of Gastroenterology, University of Tsukuba Hospital, Tsukuba, Ibaraki, Japan
| | - Ryosuke Kawagoe
- Department of Gastroenterology, University of Tsukuba Hospital, Tsukuba, Ibaraki, Japan
| | - Kiichiro Tsuchiya
- Department of Gastroenterology, University of Tsukuba Hospital, Tsukuba, Ibaraki, Japan
| | - Kensuke Shinmura
- Department of Gastroenterology and Endoscopy, National Cancer Center Hospital East, Kashiwa, Chiba, Japan
| | - Hiroaki Ikematsu
- Department of Gastroenterology and Endoscopy, National Cancer Center Hospital East, Kashiwa, Chiba, Japan
| | - Atsushi Inaba
- Department of Gastroenterology and Endoscopy, National Cancer Center Hospital East, Kashiwa, Chiba, Japan
| | - Nobuhisa Minakata
- Department of Gastroenterology and Endoscopy, National Cancer Center Hospital East, Kashiwa, Chiba, Japan
| | - Kinichi Hotta
- Division of Endoscopy, Shizuoka Cancer Center, Shizuoka, Japan
| | - Kenichiro Imai
- Division of Endoscopy, Shizuoka Cancer Center, Shizuoka, Japan
| | - Kazunori Takada
- Division of Endoscopy, Shizuoka Cancer Center, Shizuoka, Japan
| | - Sayo Ito
- Division of Endoscopy, Shizuoka Cancer Center, Shizuoka, Japan
| | - Masashi Misawa
- Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Kanagawa, Japan
| | - Kunihiko Wakamura
- Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Kanagawa, Japan
| | - Shin-Ei Kudo
- Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Kanagawa, Japan
| | - Naoto Tamai
- Department of Endoscopy, The Jikei University School of Medicine, Tokyo, Japan
| | - Kazuki Sumiyama
- Department of Endoscopy, The Jikei University School of Medicine, Tokyo, Japan
| | - Mamoru Ito
- Department of Endoscopy, The Jikei University School of Medicine, Tokyo, Japan
| | - Toshio Uraoka
- Department of Gastroenterology and Hepatology, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan
| | - Shota Tomaru
- Department of Gastroenterology and Hepatology, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan
| | - Takahisa Matsuda
- Department of Gastroenterology and Hepatology, Faculty of Medicine, Toho University, Tokyo, Japan
| | - Ai Fujimoto
- Department of Gastroenterology and Hepatology, Faculty of Medicine, Toho University, Tokyo, Japan
| | - Taro Shibata
- Biostatistics Division, Center for Research Administration and Support, National Cancer Center, Tokyo, Japan
| | - Yutaka Saito
- Endoscopy Division, National Cancer Center Hospital, Tokyo, Japan.
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Morimoto S, Tanaka H, Takehara Y, Yamamoto N, Tanino F, Kamigaichi Y, Yamashita K, Takigawa H, Urabe Y, Kuwai T, Oka S. Efficiency of Real-time Computer-aided Polyp Detection during Surveillance Colonoscopy: A Pilot Study. J Anus Rectum Colon 2025; 9:127-133. [PMID: 39882234 PMCID: PMC11772792 DOI: 10.23922/jarc.2024-055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2024] [Accepted: 10/26/2024] [Indexed: 01/31/2025] Open
Abstract
Objectives Studies have suggested that computer-aided polyp detection using artificial intelligence improves adenoma identification during colonoscopy. However, its real-world effectiveness remains unclear. Therefore, this study evaluated the usefulness of computer-aided detection during regular surveillance colonoscopy. Methods Consecutive patients who underwent surveillance colonoscopy with computer-aided detection between January and March 2023 and had undergone colonoscopy at least twice during the past 3 years were recruited. The clinicopathological findings of lesions identified using computer-aided detection were evaluated. The detection ability was sub-analyzed based on the expertise of the endoscopist and the presence of diminutive adenomas (size ≤5 mm). Results A total of 78 patients were included. Computer-aided detection identified 46 adenomas in 28 patients; however, no carcinomas were identified. The mean withdrawal time was 824 ± 353 s, and the mean tumor diameter was 3.3 mm (range, 2-8 mm). The most common gross type was 0-Is (70%), followed by 0-Isp (17%) and 0-IIa (13%). The most common tumor locations were the ascending colon and sigmoid colon (28%), followed by the transverse colon (26%), cecum (7%), descending colon (7%), and rectum (4%). Overall, 34.1% and 38.2% of patients with untreated diminutive adenomas and those with no adenomas, respectively, had newly detected adenomas. Endoscopist expertise did not affect the results. Conclusions Computer-aided detection may help identify adenomas during surveillance colonoscopy for patients with untreated diminutive adenomas and those with a history of endoscopic resection.
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Affiliation(s)
- Shin Morimoto
- Department of Gastroenterology, Hiroshima University Hospital, Hiroshima, Japan
| | - Hidenori Tanaka
- Department of Gastroenterology, Hiroshima University Hospital, Hiroshima, Japan
| | - Yudai Takehara
- Department of Gastroenterology, Hiroshima University Hospital, Hiroshima, Japan
| | - Noriko Yamamoto
- Department of Gastroenterology, Hiroshima University Hospital, Hiroshima, Japan
| | - Fumiaki Tanino
- Department of Gastroenterology, Hiroshima University Hospital, Hiroshima, Japan
| | - Yuki Kamigaichi
- Department of Gastroenterology, Hiroshima University Hospital, Hiroshima, Japan
| | - Ken Yamashita
- Department of Gastroenterology, Hiroshima University Hospital, Hiroshima, Japan
| | - Hidehiko Takigawa
- Department of Gastroenterology, Hiroshima University Hospital, Hiroshima, Japan
| | - Yuji Urabe
- Department of Gastroenterology, Hiroshima University Hospital, Hiroshima, Japan
| | - Toshio Kuwai
- Gastrointestinal Endoscopy and Medicine, Hiroshima University Hospital, Hiroshima, Japan
| | - Shiro Oka
- Department of Gastroenterology, Hiroshima University Hospital, Hiroshima, Japan
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Hiratsuka Y, Hisabe T, Ohtsu K, Yasaka T, Takeda K, Miyaoka M, Ono Y, Kanemitsu T, Imamura K, Takeda T, Nimura S, Yao K. Evaluation of Artificial Intelligence: Computer-aided Detection of Colorectal Polyps. J Anus Rectum Colon 2025; 9:79-87. [PMID: 39882222 PMCID: PMC11772790 DOI: 10.23922/jarc.2024-057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2024] [Accepted: 10/03/2024] [Indexed: 01/31/2025] Open
Abstract
Objectives Colonoscopy is the gold standard for screening cancer and precancerous lesions in the large intestine. Recently, remarkable advances in artificial intelligence (AI) have led to the development of various computer-aided detection (CADe) systems for colonoscopy. This study aimed to evaluate the usefulness of AI for colonoscopy using CAD-EYEⓇ (Fujifilm, Tokyo, Japan) to calculate the adenoma miss rate (AMR). Methods This randomized, open-label, single-center, tandem study was conducted at Fukuoka University Chikushi Hospital from February 2022 to November 2022. Patients were randomly assigned to the CADe or non-CADe group. Immediately after the completion of the first endoscopy by an endoscopist, a new endoscopist was assigned to perform the second endoscopy. As a result, different endoscopists performed the examinations in a tandem fashion. A missed lesion was defined as a newly detected colorectal polyp by the second endoscopy. Finally, the AMR was compared between the two groups. Results The study population comprised 48 patients in the CADe group and 46 patients in the non-CADe group. The AMR was 17.4% in the CADe group and 30.3% in the non-CADe group. Therefore, the AMR in the CADe group was statistically significantly lower than that in the non-CADe group (P=0.009). Conclusions The application of CAD-EYEⓇ to colonoscopy reduced the AMR. Overall, CAD-EYEⓇ might be useful for reducing missed colorectal adenomas.
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Affiliation(s)
- Yuya Hiratsuka
- Department of Endoscopy, Fukuoka University Chikushi Hospital, Chikushino, Japan
| | - Takashi Hisabe
- Department of Gastroenterology, Fukuoka University Chikushi Hospital, Chikushino, Japan
| | - Kensei Ohtsu
- Department of Gastroenterology, Fukuoka University Chikushi Hospital, Chikushino, Japan
| | - Tatsuhisa Yasaka
- Department of Gastroenterology, Fukuoka University Chikushi Hospital, Chikushino, Japan
| | - Kazuhiro Takeda
- Department of Endoscopy, Fukuoka University Chikushi Hospital, Chikushino, Japan
| | - Masaki Miyaoka
- Department of Endoscopy, Fukuoka University Chikushi Hospital, Chikushino, Japan
| | - Yoichiro Ono
- Department of Gastroenterology, Fukuoka University Chikushi Hospital, Chikushino, Japan
| | - Takao Kanemitsu
- Department of Endoscopy, Fukuoka University Chikushi Hospital, Chikushino, Japan
| | - Kentaro Imamura
- Department of Gastroenterology, Fukuoka University Chikushi Hospital, Chikushino, Japan
| | - Teruyuki Takeda
- Department of Gastroenterology, Fukuoka University Chikushi Hospital, Chikushino, Japan
| | - Satoshi Nimura
- Department of Pathology, Fukuoka University Chikushi Hospital, Chikushino, Japan
| | - Kenshi Yao
- Department of Endoscopy, Fukuoka University Chikushi Hospital, Chikushino, Japan
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Goffredo P, Troester A, Wolf JM, Rudser K, Church TR, Shaukat A. Proximal Polyps Are Associated With Higher Incidence of Colorectal Cancer: Analysis of the Minnesota Colon Cancer Control Study. Am J Gastroenterol 2024:00000434-990000000-01491. [PMID: 39688958 DOI: 10.14309/ajg.0000000000003256] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2024] [Accepted: 12/12/2024] [Indexed: 12/19/2024]
Abstract
INTRODUCTION Despite reports indicating that polyps proximal to the splenic flexure have higher rates of metachronous colorectal adenocarcinoma (CRC), the role of adenoma location on surveillance recommendations remains unclear. This study aimed to analyze the association between index polyp location and postcolonoscopy CRC among participants of the Minnesota Colon Cancer Control Study. METHODS The Minnesota Colon Cancer Control Study randomized 46,551 patients 50-80 years to usual care, annual, or biennial screening with fecal occult-blood testing. Screening was performed between 1976 and 1992. Positive fecal occult-blood testing was followed by colonoscopy. We analyzed participants whose colonoscopy revealed at least 1 adenoma. Patients were divided into those with at least 1 lesion proximal to the splenic flexure and those without. RESULTS Of 2,295 patients, 815 had proximal adenomas. The majority were men; mean age = 62 years at randomization, and 69 years at index polyp. There was a high rate of advanced adenomas: 44% ≥ 1 polyp ≥1 cm, 35% with villous histology, and 5% high-grade dysplasia. At 20 years, 87 patients had a CRC diagnosis, and the estimated cumulative incidence of CRC was 4.3%. Proximal adenomas had a higher risk of developing a postcolonoscopy CRC (subdistribution hazard ratio = 1.63, 95% confidence interval = 1.05-2.53, P = 0.03), which was attenuated after adjusting for polyp multiplicity in sensitivity analyses (subdistribution hazard ratio = 1.56, 95% confidence interval = 0.96-2.53, P = 0.07). DISCUSSION Although patients with proximal adenomas were found to have higher hazards of postcolonoscopy CRC, adjusting for polyp multiplicity attenuated the strength of association. Further research is warranted to determine whether polyp location should be factored in the determination of appropriate surveillance intervals.
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Affiliation(s)
- Paolo Goffredo
- Department of Surgery, Division of Colon & Rectal Surgery, University of Minnesota, Minneapolis, Minnesota, USA
- Department of Surgery, University of Minnesota, Minneapolis, Minnesota, USA
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota, USA
| | - Alexander Troester
- Department of Surgery, University of Minnesota, Minneapolis, Minnesota, USA
| | - Jack M Wolf
- Division of Biostatistics & Health Data Science, University of Minnesota, Minneapolis, Minnesota, USA
| | - Kyle Rudser
- Division of Biostatistics & Health Data Science, University of Minnesota, Minneapolis, Minnesota, USA
| | - Timothy R Church
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota, USA
- Division of Environmental Health Sciences, University of Minnesota, Minneapolis, Minnesota, USA
| | - Aasma Shaukat
- Division of Environmental Health Sciences, University of Minnesota, Minneapolis, Minnesota, USA
- Department of Gastroenterology, New York University Langone Health, New York, New York, USA
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Lei II, Arasaradnam R, Koulaouzidis A. Polyp Matching in Colon Capsule Endoscopy: Pioneering CCE-Colonoscopy Integration Towards an AI-Driven Future. J Clin Med 2024; 13:7034. [PMID: 39685494 DOI: 10.3390/jcm13237034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2024] [Revised: 11/06/2024] [Accepted: 11/18/2024] [Indexed: 12/18/2024] Open
Abstract
Background: Colon capsule endoscopy (CCE) is becoming more widely available across Europe, but its uptake is slow due to the need for follow-up colonoscopy for therapeutic procedures and biopsies, which impacts its cost-effectiveness. One of the major factors driving the conversion to colonoscopy is the detection of excess polyps in CCE that cannot be matched during subsequent colonoscopy. The capsule's rocking motion, which can lead to duplicate reporting of the same polyp when viewed from different angles, is likely a key contributor. Objectives: This review aims to explore the types of polyp matching reported in the literature, assess matching techniques and matching accuracy, and evaluate the development of machine learning models to improve polyp matching in CCE and subsequent colonoscopy. Methods: A systematic literature search was conducted in EMBASE, MEDLINE, and PubMed. Due to the scarcity of research in this area, the search encompassed clinical trials, observational studies, reviews, case series, and editorial letters. Three directly related studies were included, and ten indirectly related studies were included for review. Results: Polyp matching in colon capsule endoscopy still needs to be developed, with only one study focused on creating criteria to match polyps within the same CCE video. Another study established that experienced CCE readers have greater accuracy, reducing interobserver variability. A machine learning algorithm was developed in one study to match polyps between initial CCE and subsequent colonoscopy. Only around 50% of polyps were successfully matched, requiring further optimisation. As Artificial Intelligence (AI) algorithms advance in CCE polyp detection, the risk of duplicate reporting may increase when clinicians are presented with polyp images or timestamps, potentially complicating the transition to AI-assisted CCE reading in the future. Conclusions: Polyp matching in CCE is a developing field with considerable challenges, especially in matching polyps within the same video. Although AI shows potential for decent accuracy, more research is needed to refine these techniques and make CCE a more reliable, non-invasive alternative to complement conventional colonoscopy for lower GI investigations.
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Affiliation(s)
- Ian Io Lei
- Institute of Precision Diagnostics & Translational Medicine, University Hospital of Coventry and Warwickshire, Clifford Bridge Rd, Coventry CV2 2DX, UK
- Warwick Medical School, University of Warwick, Coventry CV4 7AL, UK
| | - Ramesh Arasaradnam
- Institute of Precision Diagnostics & Translational Medicine, University Hospital of Coventry and Warwickshire, Clifford Bridge Rd, Coventry CV2 2DX, UK
- Warwick Medical School, University of Warwick, Coventry CV4 7AL, UK
- Department of Digestive Diseases, University Hospitals of Leicester NHS Trust, Leicester LE1 5WW, UK
- Leicester Cancer Centre, University of Leicester, Leicester LE1 7RH, UK
| | - Anastasios Koulaouzidis
- Surgical Research Unit, Odense University Hospital, 5700 Svendborg, Denmark
- Department of Surgery, OUH Svendborg Sygehus, 5700 Svendborg, Denmark
- Department of Clinical Research, University of Southern Denmark, 5230 Odense, Denmark
- Department of Gastroenterology, Pomeranian Medical University, 70-204 Szczecin, Poland
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Saito Y, Toyoshima N, Mizuguchi Y, Sakamoto T, Uraoka T, Ikematsu H, Tamai N, Matsuda T, Misawa M, Hotta K, Shibata T. Protocol for a prospective multicenter randomized controlled trial to evaluate the efficacy of texture and color enhancement imaging (TXI) observation in the detection of colorectal lesions (deTXIon study). Jpn J Clin Oncol 2024; 54:1052-1056. [PMID: 38762330 DOI: 10.1093/jjco/hyae063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2023] [Accepted: 04/30/2024] [Indexed: 05/20/2024] Open
Abstract
Colonoscopy is the gold standard for detecting and resecting adenomas or early stage cancers to reduce the incidence and mortality rates of colorectal cancer. In a recent observational study, texture and color enhancement imaging (TXI) was reported to improve polyp detection during colonoscopy. This randomized controlled trial involving six Japanese institutions aims to confirm the superiority of TXI over standard white-light imaging (WLI) in detecting colorectal lesions during colonoscopy. During the 1-year study period, 960 patients will be enrolled, with 480 patients in the TXI and WLI groups. The primary endpoint is the mean number of adenomas detected per procedure. The secondary endpoints include adenoma detection rate, advanced adenoma detection rate, polyp detection rate, flat polyp detection rate, depressed lesion detection rate, mean polyps detected per procedure, sessile serrated lesion (SSL) detection rate, mean SSLs detected per procedure and adverse events.
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Affiliation(s)
- Yutaka Saito
- Endoscopy Division, National Cancer Center Hospital, Tokyo, Japan
| | - Naoya Toyoshima
- Endoscopy Division, National Cancer Center Hospital, Tokyo, Japan
| | | | - Taku Sakamoto
- Department of Gastroenterology, University of Tsukuba Hospital, Tsukuba, Ibaraki, Japan
| | - Toshio Uraoka
- Department of Gastroenterology and Hepatology, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan
| | - Hiroaki Ikematsu
- Division of Science and Technology for Endoscopy, National Cancer Center Hospital East, Kashiwa, Chiba, Japan
- Department of Gastroenterology and Endoscopy, National Ccccancer Center Hospital East, Kashiwa, Chiba, Japan
| | - Naoto Tamai
- Department of Endoscopy, Jikei University School of Medicine, Tokyo, Japan
| | - Takahisa Matsuda
- Division of Gastroenterology and Hepatology, Toho University Omori Medical Center, Tokyo, Japan
| | - Masashi Misawa
- Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Kanagawa, Japan
| | - Kinichi Hotta
- Division of Endoscopy, Shizuoka Cancer Center, Shizuoka, Japan
| | - Taro Shibata
- Biostatistics Division, Center for Research Administration and Support, National Cancer Center, Tokyo, Japan
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Zhang B, Lu J, Lin X, Wang J, Li Q, Jin T, Shi Q, Lu Y, Zhang J, Deng J, Zhang Y, Guo Y, Gao J, Chen H, Yan Y, Wu J, Gao J, Che J, Dong X, Gu Z, Lin N. Injectable and Sprayable Fluorescent Nanoprobe for Rapid Real-Time Detection of Human Colorectal Tumors. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2405275. [PMID: 38897213 DOI: 10.1002/adma.202405275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2024] [Revised: 06/08/2024] [Indexed: 06/21/2024]
Abstract
The development of minimally invasive surgery has greatly advanced precision tumor surgery, but sometime suffers from restricted visualization of the surgical field, especially during the removal of abdominal tumors. A 3-D inspection of tumors could be achieved by intravenously injecting tumor-selective fluorescent probes, whereas most of which are unable to instantly distinguish tumors via in situ spraying, which is urgently needed in the process of surgery in a convenient manner. In this study, this work has designed an injectable and sprayable fluorescent nanoprobe, termed Poly-g-BAT, to realize rapid tumor imaging in freshly dissected human colorectal tumors and animal models. Mechanistically, the incorporation of γ-glutamyl group facilitates the rapid internalization of Poly-g-BAT, and these internalized nanoprobes can be subsequently activated by intracellular NAD(P)H: quinone oxidoreductase-1 to release near-infrared fluorophores. As a result, Poly-g-BAT can achieve a superior tumor-to-normal ratio (TNR) up to 12.3 and enable a fast visualization (3 min after in situ spraying) of tumor boundaries in the xenograft tumor models, Apcmin/+ mice models and fresh human tumor tissues. In addition, Poly-g-BAT is capable of identifying minimal premalignant lesions via intravenous injection.
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Affiliation(s)
- Bo Zhang
- Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Hangzhou First People's Hospital, Cancer Center of Zhejiang University, Hangzhou, 310006, China
| | - Jialiang Lu
- Hangzhou Institute of Innovative Medicine, Institute of Drug Discovery and Design, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Xu Lin
- Department of Thoracic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China
| | - Jinqiang Wang
- National Key Laboratory of Advanced Drug Delivery and Release Systems, Zhejiang University, Hangzhou, 310058, China
- Institute of Pharmaceutics, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Qi Li
- Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Hangzhou First People's Hospital, Cancer Center of Zhejiang University, Hangzhou, 310006, China
| | - Tingting Jin
- Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Hangzhou First People's Hospital, Cancer Center of Zhejiang University, Hangzhou, 310006, China
| | - Qiuqiu Shi
- Hangzhou Institute of Innovative Medicine, Institute of Drug Discovery and Design, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Yang Lu
- Hangzhou Institute of Innovative Medicine, Institute of Drug Discovery and Design, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Jingyu Zhang
- Hangzhou Institute of Innovative Medicine, Institute of Drug Discovery and Design, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Jun Deng
- Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Hangzhou First People's Hospital, Cancer Center of Zhejiang University, Hangzhou, 310006, China
| | - Yinqiong Zhang
- Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Hangzhou First People's Hospital, Cancer Center of Zhejiang University, Hangzhou, 310006, China
| | - Yu Guo
- Hangzhou Institute of Innovative Medicine, Institute of Drug Discovery and Design, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Jian Gao
- Hangzhou Institute of Innovative Medicine, Institute of Drug Discovery and Design, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Haifeng Chen
- Hangzhou Institute of Innovative Medicine, Institute of Drug Discovery and Design, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Youyou Yan
- Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Hangzhou First People's Hospital, Cancer Center of Zhejiang University, Hangzhou, 310006, China
- Westlake Laboratory of Life Sciences and Biomedicine of Zhejiang Province, Hangzhou, 310024, China
| | - Jiahe Wu
- Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Hangzhou First People's Hospital, Cancer Center of Zhejiang University, Hangzhou, 310006, China
- Institute of Pharmaceutics, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Jianqing Gao
- National Key Laboratory of Advanced Drug Delivery and Release Systems, Zhejiang University, Hangzhou, 310058, China
- Institute of Pharmaceutics, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Jinxin Che
- Hangzhou Institute of Innovative Medicine, Institute of Drug Discovery and Design, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China
- National Key Laboratory of Advanced Drug Delivery and Release Systems, Zhejiang University, Hangzhou, 310058, China
| | - Xiaowu Dong
- Hangzhou Institute of Innovative Medicine, Institute of Drug Discovery and Design, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China
- National Key Laboratory of Advanced Drug Delivery and Release Systems, Zhejiang University, Hangzhou, 310058, China
| | - Zhen Gu
- National Key Laboratory of Advanced Drug Delivery and Release Systems, Zhejiang University, Hangzhou, 310058, China
- Institute of Pharmaceutics, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Nengming Lin
- Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Hangzhou First People's Hospital, Cancer Center of Zhejiang University, Hangzhou, 310006, China
- Westlake Laboratory of Life Sciences and Biomedicine of Zhejiang Province, Hangzhou, 310024, China
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Lin Q, Tan W, Cai S, Yan B, Li J, Zhong Y. Lesion-Decoupling-Based Segmentation With Large-Scale Colon and Esophageal Datasets for Early Cancer Diagnosis. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2024; 35:11142-11156. [PMID: 37028330 DOI: 10.1109/tnnls.2023.3248804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Lesions of early cancers often show flat, small, and isochromatic characteristics in medical endoscopy images, which are difficult to be captured. By analyzing the differences between the internal and external features of the lesion area, we propose a lesion-decoupling-based segmentation (LDS) network for assisting early cancer diagnosis. We introduce a plug-and-play module called self-sampling similar feature disentangling module (FDM) to obtain accurate lesion boundaries. Then, we propose a feature separation loss (FSL) function to separate pathological features from normal ones. Moreover, since physicians make diagnoses with multimodal data, we propose a multimodal cooperative segmentation network with two different modal images as input: white-light images (WLIs) and narrowband images (NBIs). Our FDM and FSL show a good performance for both single-modal and multimodal segmentations. Extensive experiments on five backbones prove that our FDM and FSL can be easily applied to different backbones for a significant lesion segmentation accuracy improvement, and the maximum increase of mean Intersection over Union (mIoU) is 4.58. For colonoscopy, we can achieve up to mIoU of 91.49 on our Dataset A and 84.41 on the three public datasets. For esophagoscopy, mIoU of 64.32 is best achieved on the WLI dataset and 66.31 on the NBI dataset.
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9
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Schraps N, Mercanoglu B, Giannou A, Witthöft T, Hackert T, Melling N. Colorectal adenocarcinoma of the interposed colon after esophagectomy in infancy: a case report. J Surg Case Rep 2024; 2024:rjae516. [PMID: 39183785 PMCID: PMC11342859 DOI: 10.1093/jscr/rjae516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2024] [Accepted: 08/05/2024] [Indexed: 08/27/2024] Open
Abstract
Colorectal carcinomas are a rare but possible complication in an interposed colonic segment used for reconstruction after esophagectomy. We report the case of a patient who underwent colonic interposition surgery in childhood due to esophageal atresia and was diagnosed with colorectal adenocarcinoma of the interposed colon ~57 years later. The patient underwent gastric pull-up after thoraco-abdominal resection of the colonic interposition en bloc with the adjacent remaining esophagus.
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Affiliation(s)
- Nina Schraps
- Department of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Baris Mercanoglu
- Department of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Anastasios Giannou
- Department of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Thomas Witthöft
- Gastroenterologische Gemeinschaftspraxis Stade, 21682 Stade, Germany
| | - Thilo Hackert
- Department of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Nathaniel Melling
- Department of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
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10
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Sugino S, Yoshida N, Guo Z, Zhang R, Inoue K, Hirose R, Dohi O, Itoh Y, Nemoto D, Togashi K, Yamamoto H, Zhu X. Non-polypoid Colorectal Lesions Detection and False Positive Detection by Artificial Intelligence under Blue Laser Imaging and Linked Color Imaging. J Anus Rectum Colon 2024; 8:212-220. [PMID: 39086882 PMCID: PMC11286363 DOI: 10.23922/jarc.2023-070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Accepted: 03/28/2024] [Indexed: 08/02/2024] Open
Abstract
Objectives Artificial intelligence (AI) with white light imaging (WLI) is not enough for detecting non-polypoid colorectal polyps and it still has high false positive rate (FPR). We developed AIs using blue laser imaging (BLI) and linked color imaging (LCI) to detect them with specific learning sets (LS). Methods The contents of LS were as follows, LS (WLI): 1991 WLI images of lesion of 2-10 mm, LS (IEE): 5920 WLI, BLI, and LCI images of non-polypoid and small lesions of 2-20 mm. LS (IEE) was extracted from videos and included both in-focus and out-of-focus images. We designed three AIs as follows: AI (WLI) finetuned by LS (WLI), AI (IEE) finetuned by LS (WLI)+LS (IEE), and AI (HQ) finetuned by LS (WLI)+LS (IEE) only with images in focus. Polyp detection using a test set of WLI, BLI, and LCI videos of 100 non-polypoid or non-reddish lesions of 2-20 mm and FPR using movies of 15 total colonoscopy were analyzed, compared to 2 experts and 2 trainees. Results The sensitivity for LCI in AI (IEE) (83%) was compared to that for WLI in AI (IEE) (76%: p=0.02), WLI in AI (WLI) (57%: p<0.01), BLI in AI (IEE) (78%: p=0.14), and LCI in trainees (74%: p<0.01). The sensitivity for LCI in AI (IEE) (83%) was significantly higher than that in AI (HQ) (78%: p<0.01). The FPR for LCI (6.5%) in AI (IEE) were significantly lower than that in AI (HQ) (17.3%: p<0.01). Conclusions AI finetuned by appropriate LS detected non-reddish and non-polypoid polyps under LCI.
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Affiliation(s)
- Satoshi Sugino
- Department of Gastroenterology, Asahi University Hospital, Gifu, Japan
| | - Naohisa Yoshida
- Department of Gastroenterology, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Zhe Guo
- Biomedical Information Engineering Lab, The University of Aizu, Fukushima, Japan
| | - Ruiyao Zhang
- Biomedical Information Engineering Lab, The University of Aizu, Fukushima, Japan
| | - Ken Inoue
- Department of Gastroenterology, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Ryohei Hirose
- Department of Gastroenterology, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Osamu Dohi
- Department of Gastroenterology, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Yoshito Itoh
- Department of Gastroenterology, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Daiki Nemoto
- Department of Coloproctology, Aizu Medical Center, Fukushima Medical University, Fukushima, Japan
| | - Kazutomo Togashi
- Department of Coloproctology, Aizu Medical Center, Fukushima Medical University, Fukushima, Japan
| | - Hironori Yamamoto
- Department of Gastroenterology, Jichi Medical University, Tochigi, Japan
| | - Xin Zhu
- Biomedical Information Engineering Lab, The University of Aizu, Fukushima, Japan
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11
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Lei II, Koulaouzidis A, Baatrup G, Samaan M, Parisi I, McAlindon M, Toth E, Shaukat A, Valentiner U, Dabos KJ, Fernandez I, Robertson A, Schelde-Olesen B, Parsons N, Arasaradnam RP. Rationalizing polyp matching criteria in colon capsule endoscopy: an international expert consensus through RAND (modified DELPHI) process. Therap Adv Gastroenterol 2024; 17:17562848241242681. [PMID: 38883159 PMCID: PMC11179528 DOI: 10.1177/17562848241242681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Accepted: 03/08/2024] [Indexed: 06/18/2024] Open
Abstract
BACKGROUND Colon capsule endoscopy (CCE) has gained momentum as an alternative modality for the investigation of the lower gastrointestinal tract. Of the few challenges that remain, the comparison and - eventually - matching of polyps at different timestamps leads to the potential for double reporting and can contribute to false-positive findings and inaccuracies. With the impending artificial intelligence integration, the risk of double reporting the same polyp due to the lack of information on spatial orientation underscores the necessity for establishing criteria for polyp matching. OBJECTIVES This RAND/University of California, Los Angeles (modified Delphi) process aims to identify the key factors or components used to match polyps within a CCE video. This involves exploring the attributes of each factor to create comprehensive polyp-matching criteria based on international expert consensus. DESIGN A systematic qualitative study using surveys. METHODS A panel of 11 international CCE experts convened to assess a survey comprised of 60 statements. Participants anonymously rated statement appropriateness on a 1-9 scale (1-3: inappropriate, 4-6: uncertain and 7-9: appropriate). Following a virtual group discussion of the Round 1 results, a Round 2 survey was developed and completed before the final analysis. RESULTS The factors that were agreed to be essential for polyp matching include (1) timestamp, (2) polyp localization, (3) polyp vascular pattern, (4) polyp size, (5) time interval of the polyp appearance between the green and yellow camera, (6) surrounding tissue, (7) polyp morphology and (8) polyp surface and contour. When five or more factors are satisfied, it was agreed that the comparing polyps are likely the same polyp. CONCLUSION This study has established the first complete criteria for polyp matching in CCE. While it might not provide a definitive solution for matching difficult, small and common polyps, these criteria serve as a framework to guide and facilitate the process of polyp-matching.
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Affiliation(s)
- Ian Io Lei
- Institute of Precision Diagnostics and Translational Medicine, University Hospital of Coventry and Warwickshire, Clifford Bridge Road, Coventry CV2 2DX, UK
- Department of Digestive Diseases, University Hospitals of Leicester NHS Trust, Leicester, UK
| | - Anastasios Koulaouzidis
- Surgical Research Unit, Odense University Hospital, Svendborg, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Department of Social Medicine and Public Health, Pomeranian Medical University, Szczecin, Poland
- Department of Medicine, OUH Svendborg Sygehus, Svendborg, Denmark
| | - Gunnar Baatrup
- Surgical Research Unit, Odense University Hospital, Svendborg, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Mark Samaan
- Inflammatory Bowel Disease Unit, Guy’s and St Thomas’ NHS Foundation Trust, London, UK
| | - Ioanna Parisi
- Department of Gastroenterology, University College Hospital, London, UK
| | - Mark McAlindon
- Academic Unit of Gastroenterology, Royal Hallamshire Hospital, Sheffield Teaching Hospitals, Sheffield, UK
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Ervin Toth
- Department of Gastroenterology, Skåne University Hospital, Lund University, Malmö, Sweden
| | - Aasma Shaukat
- Division of Gastroenterology, Department of Medicine, NYU Grossman School of Medicine, New York City, NY, USA
| | - Ursula Valentiner
- Corporate Health International, Inverness, UK
- Institute of Anatomy and Experimental Morphology, University Medical Center Hamburg–Eppendorf, Hamburg, Germany
| | | | | | - Alexander Robertson
- Department of Digestive Diseases, University Hospitals of Leicester NHS Trust, Leicester, UK
| | | | - Nicholas Parsons
- Warwick Clinical Trials Unit, University of Warwick, Coventry, UK
| | | | - Ramesh P. Arasaradnam
- Institute of Precision Diagnostics and Translational Medicine, University Hospital of Coventry and Warwickshire, Coventry, UK
- Warwick Medical School, University of Warwick, Coventry, UK
- Leicester Cancer Centre, University of Leicester, Leicester, UK
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12
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van Keulen KE, Papanikolaou IS, Mak TWC, Apostolopoulos P, Neumann H, Delconte G, Furnari M, Peters Y, Lau JYW, Polymeros D, Schrauwen RWN, Cavalcoli F, Koukoulioti E, Triantafyllou K, Anderson JC, Pohl H, Rex DK, Siersema PD. Comparison of adenoma miss rate and adenoma detection rate between conventional colonoscopy and colonoscopy with second-generation distal attachment cuff: a multicenter, randomized, back-to-back trial. Gastrointest Endosc 2024; 99:798-808.e3. [PMID: 37993062 DOI: 10.1016/j.gie.2023.11.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 10/27/2023] [Accepted: 11/13/2023] [Indexed: 11/24/2023]
Abstract
BACKGROUND AND AIMS Endocuff Vision (Olympus Europe, Hamburg, Germany) has been designed to enhance mucosal visualization, thereby improving detection of (pre-)malignant colorectal lesions. This multicenter, international, back-to-back, randomized colonoscopy trial compared the adenoma detection rate (ADR) and adenoma miss rate (AMR) between Endocuff Vision-assisted colonoscopy (EVC) and conventional colonoscopy (CC). METHODS Patients aged 40 to 75 years referred for non-immunochemical fecal occult blood test-based screening, surveillance, or diagnostic colonoscopy were included at 10 hospitals and randomized into 4 groups: group 1, 2 × CC; group 2, CC followed by EVC; group 3, EVC followed by CC; and group 4, 2 × EVC. Primary outcomes included ADR and AMR. RESULTS A total of 717 patients were randomized, of whom 661 patients (92.2%) had 1 and 646 (90.1%) patients had 2 completed back-to-back colonoscopies. EVC did not significantly improve ADR compared to CC (41.1%; [95% confidence interval (CI), 36.1-46.3] vs 35.5% [95% CI, 30.7-40.6], respectively; P = .125), but EVC did reduce AMR by 11.7% (29.6% [95% CI, 23.6-36.5] vs 17.9% [95% CI, 12.5-23.5], respectively; P = .049). AMR of 2 × CC compared to 2 × EVC was also not significantly different (25.9% [95% CI, 19.3-33.9] vs 18.8% [95% CI, 13.9-24.8], respectively; P = .172). Only 3.7% of the polyps missed during the first procedures had advanced pathologic features. Factors affecting risk of missing adenomas were age (P = .002), Boston Bowel Preparation Scale (P = .008), and region where colonoscopy was performed (P < .001). CONCLUSIONS Our trial shows that EVC reduces the risk of missing adenomas but does not lead to a significantly improved ADR. Remarkably, 25% of adenomas are still missed during conventional colonoscopies, which is not different from miss rates reported 25 years ago; reassuringly, advanced features were only found in 3.7% of these missed lesions. (Clinical trial registration number: NCT03418948.).
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Affiliation(s)
- Kelly E van Keulen
- Department of Gastroenterology and Hepatology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Ioannis S Papanikolaou
- Hepatogastroenterology Unit, Second Department of Internal Medicine-Propaedeutic, Medical School, National and Kapodistrian University, Attikon University General Hospital, Athens, Greece
| | - Tony W C Mak
- Department of Surgery, Prince of Wales Hospital, Chinese University of Hongkong, Hongkong, China
| | | | - Helmut Neumann
- Department of Gastroenterology and Hepatology, University Medical Center Mainz, Mainz, Germany
| | - Gabriele Delconte
- Department of Diagnostic Endoscopy and Endoscopic Surgery, Istituto Nazionale Tumori, Milano, Italy
| | - Manuele Furnari
- Division of Gastroenterology, Department of Internal Medicine, University of Genoa, Genoa, Italy
| | - Yonne Peters
- Department of Gastroenterology and Hepatology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - James Y W Lau
- Department of Surgery, Prince of Wales Hospital, Chinese University of Hongkong, Hongkong, China
| | - Dimitrios Polymeros
- Hepatogastroenterology Unit, Second Department of Internal Medicine-Propaedeutic, Medical School, National and Kapodistrian University, Attikon University General Hospital, Athens, Greece
| | - Ruud W N Schrauwen
- Department of Gastroenterology, Bernhoven Hospital, Uden, The Netherlands
| | - Federica Cavalcoli
- Department of Diagnostic Endoscopy and Endoscopic Surgery, Istituto Nazionale Tumori, Milano, Italy
| | - Eleni Koukoulioti
- Department of Gastroenterology, 417 Army Veterans Hospital, Athens, Greece
| | - Konstantinos Triantafyllou
- Hepatogastroenterology Unit, Second Department of Internal Medicine-Propaedeutic, Medical School, National and Kapodistrian University, Attikon University General Hospital, Athens, Greece
| | - Joseph C Anderson
- Department of Gastroenterology, Gastroenterology, Veterans Affairs Medical Center, White River Junction, Vermont, USA
| | - Heiko Pohl
- Department of Gastroenterology, Gastroenterology, Veterans Affairs Medical Center, White River Junction, Vermont, USA
| | - Douglas K Rex
- Division of Gastroenterology/Hepatology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Peter D Siersema
- Department of Gastroenterology and Hepatology, Radboud University Medical Center, Nijmegen, The Netherlands; Department of Gastroenterology and Hepatology, Erasmus MC-University Medical Center, Rotterdam, The Netherlands.
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Lee MCM, Parker CH, Liu LWC, Farahvash A, Jeyalingam T. Impact of study design on adenoma detection in the evaluation of artificial intelligence-aided colonoscopy: a systematic review and meta-analysis. Gastrointest Endosc 2024; 99:676-687.e16. [PMID: 38272274 DOI: 10.1016/j.gie.2024.01.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2023] [Revised: 12/19/2023] [Accepted: 01/10/2024] [Indexed: 01/27/2024]
Abstract
BACKGROUND AND AIMS Randomized controlled trials (RCTs) have reported that artificial intelligence (AI) improves endoscopic polyp detection. Different methodologies-namely, parallel and tandem designs-have been used to evaluate the efficacy of AI-assisted colonoscopy in RCTs. Systematic reviews and meta-analyses have reported a pooled effect that includes both study designs. However, it is unclear whether there are inconsistencies in the reported results of these 2 designs. Here, we aimed to determine whether study characteristics moderate between-trial differences in outcomes when evaluating the effectiveness of AI-assisted polyp detection. METHODS A systematic search of Ovid MEDLINE, Embase, Cochrane Central, Web of Science, and IEEE Xplore was performed through March 1, 2023, for RCTs comparing AI-assisted colonoscopy with routine high-definition colonoscopy in polyp detection. The primary outcome of interest was the impact of study type on the adenoma detection rate (ADR). Secondary outcomes included the impact of the study type on adenomas per colonoscopy and withdrawal time, as well as the impact of geographic location, AI system, and endoscopist experience on ADR. Pooled event analysis was performed using a random-effects model. RESULTS Twenty-four RCTs involving 17,413 colonoscopies (AI assisted: 8680; non-AI assisted: 8733) were included. AI-assisted colonoscopy improved overall ADR (risk ratio [RR], 1.24; 95% confidence interval [CI], 1.17-1.31; I2 = 53%; P < .001). Tandem studies collectively demonstrated improved ADR in AI-aided colonoscopies (RR, 1.18; 95% CI, 1.08-1.30; I2 = 0%; P < .001), as did parallel studies (RR, 1.26; 95% CI, 1.17-1.35; I2 = 62%; P < .001), with no statistical subgroup difference between study design. Both tandem and parallel study designs revealed improvement in adenomas per colonoscopy in AI-aided colonoscopies, but this improvement was more marked among tandem studies (P < .001). AI assistance significantly increased withdrawal times for parallel (P = .002), but not tandem, studies. ADR improvement was more marked among studies conducted in Asia compared to Europe and North America in a subgroup analysis (P = .007). Type of AI system used or endoscopist experience did not affect overall improvement in ADR. CONCLUSIONS Either parallel or tandem study design can capture the improvement in ADR resulting from the use of AI-assisted polyp detection systems. Tandem studies powered to detect differences in endoscopic performance through paired comparison may be a resource-efficient method of evaluating new AI-assisted technologies.
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Affiliation(s)
- Michelle C M Lee
- Division of Gastroenterology and Hepatology, Department of Medicine, University Health Network, University of Toronto, Toronto, Ontario, Canada; Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Colleen H Parker
- Division of Gastroenterology and Hepatology, Department of Medicine, University Health Network, University of Toronto, Toronto, Ontario, Canada; Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Louis W C Liu
- Division of Gastroenterology and Hepatology, Department of Medicine, University Health Network, University of Toronto, Toronto, Ontario, Canada; Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Armin Farahvash
- Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Thurarshen Jeyalingam
- Division of Gastroenterology and Hepatology, Department of Medicine, University Health Network, University of Toronto, Toronto, Ontario, Canada; Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
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14
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Yoshida N, Inagaki Y, Inada Y, Kobayashi R, Tomita Y, Hashimoto H, Dohi O, Hirose R, Inoue K, Murakami T, Morimoto Y, Okuyama Y, Morinaga Y, Itoh Y. Additional 30-Second Observation of the Right-Sided Colon for Missed Polyp Detection With Texture and Color Enhancement Imaging Compared with Narrow Band Imaging: A Randomized Trial. Am J Gastroenterol 2024; 119:539-546. [PMID: 37782280 DOI: 10.14309/ajg.0000000000002529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Accepted: 08/10/2023] [Indexed: 10/03/2023]
Abstract
INTRODUCTION The efficacy of texture and color enhancement imaging (TXI) in the novel light-emitting diode endoscopic system for polyp detection has not been examined. We aimed to evaluate the noninferiority of the additional 30-second (Add-30-s) observation of the right-sided colon (cecum/ascending colon) with TXI compared with narrow band imaging (NBI) for detecting missed polyps. METHODS We enrolled 381 patients ≥40 years old who underwent colonoscopy from September 2021 to June 2022 in 3 institutions and randomly assigned them to either the TXI or NBI groups. The right-sided colon was first observed with white light imaging in both groups. Second, after reinsertion from hepatic flexure to the cecum, the right-sided colon was observed with Add-30-s observation of either TXI or NBI. The primary endpoint was to examine the noninferiority of TXI to NBI using the mean number of adenomas and sessile serrated lesions per patient. The secondary ones were to examine adenoma detection rate, adenoma and sessile serrated lesions detection rates, and polyp detection rates in both groups. RESULTS The TXI and NBI groups consisted of 177 and 181 patients, respectively, and the noninferiorities of the mean number of adenomas and sessile serrated lesions per patients in the second observation were significant (TXI 0.29 [51/177] vs NBI 0.30 [54/181], P < 0.01). The change in adenoma detection rate, adenoma and sessile serrated lesions detection rate, and polyp detection rate for the right-sided colon between the TXI and NBI groups were not different (10.2%/10.5% [ P = 0.81], 13.0%/12.7% [ P = 0.71], and 15.3%/13.8% [ P = 0.71]), respectively. DISCUSSION Regarding Add-30-s observation of the right-sided colon, TXI was noninferior to NBI.
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Affiliation(s)
- Naohisa Yoshida
- Department of Molecular Gastroenterology and Hepatology, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto, Japan
| | | | - Yutaka Inada
- Department of Gastroenterology, Kyoto First Red Cross Hospital, Kyoto, Japan
| | - Reo Kobayashi
- Department of Molecular Gastroenterology and Hepatology, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto, Japan
| | - Yuri Tomita
- Department of Molecular Gastroenterology and Hepatology, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto, Japan
| | - Hikaru Hashimoto
- Department of Molecular Gastroenterology and Hepatology, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto, Japan
| | - Osamu Dohi
- Department of Molecular Gastroenterology and Hepatology, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto, Japan
| | - Ryohei Hirose
- Department of Molecular Gastroenterology and Hepatology, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto, Japan
| | - Ken Inoue
- Department of Molecular Gastroenterology and Hepatology, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto, Japan
| | - Takaaki Murakami
- Department of Gastroenterology, Aiseikai Yamashina Hospital, Kyoto, Japan
| | - Yasutaka Morimoto
- Department of Gastroenterology, Kyoto Saiseikai Hospital, Kyoto, Japan
| | - Yusuke Okuyama
- Department of Gastroenterology, Kyoto First Red Cross Hospital, Kyoto, Japan
| | - Yukiko Morinaga
- Department of Surgical Pathology, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto, Japan
| | - Yoshito Itoh
- Department of Molecular Gastroenterology and Hepatology, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto, Japan
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15
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Han J, Cao R, Su D, Li Y, Gao C, Wang K, Gao F, Qi X. Sedated Colonoscopy may not be Beneficial for Polyp/Adenoma Detection. Cancer Control 2024; 31:10732748241272482. [PMID: 39403995 PMCID: PMC11481089 DOI: 10.1177/10732748241272482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Revised: 07/07/2024] [Accepted: 07/12/2024] [Indexed: 10/19/2024] Open
Abstract
BACKGROUND Sedated colonoscopy has been increasingly selected. However, the effect of sedated colonoscopy on polyp/adenoma detection rate (PDR/ADR) remains controversial among studies. METHODS In this retrospective study, the medical records of 11 504 consecutive patients who underwent colonoscopy at our department from July 1, 2021 to December 31, 2022 were collected. Patients were divided into sedated and unsedated groups according to the use of intravenous sedation during colonoscopy. Overall PDR/ADR, right-side, transverse, and left-side colon PDR/ADR, and single and multiple PDR/ADR were calculated. By adjusting for age, gender, body mass index, inpatient, screening/surveillance, cecal intubation time, colonoscopy withdrawal time ≥6 min, and an endoscopist's experience ≥5 years, multivariate logistic regression analyses were performed to evaluate the association of sedated colonoscopy with overall PDR/ADR, right-side, transverse, and left-side colon PDR/ADR, and single and multiple PDR/ADR, where the absence of PDR/ADR was used as reference. Odds ratios (ORs) with their 95% confidence intervals (CIs) were calculated. RESULTS Overall, 2275 patients were included, of whom 293 and 1982 underwent sedated and unsedated colonoscopy, respectively. Multivariate logistic regression analyses showed that sedated colonoscopy was independently associated with lower overall PDR/ADR (OR = 0.640, 95% CI = 0.460-0.889, P = 0.008), right-side colon PDR/ADR (OR = 0.591, 95% CI = 0.417-0.837, P = 0.003), single PDR/ADR (OR = 0.659, 95% CI = 0.436-0.996, P = 0.048), and multiple PDR/ADR (OR = 0.586, 95% CI = 0.402-0.855, P = 0.005), but not transverse or left-side colon PDR/ADR. CONCLUSION Sedated colonoscopy may not be beneficial in terms of overall PDR/ADR, right-side colon PDR/ADR, and number of polyps/adenomas. Thus, it should be selectively recommended. Additionally, it should be necessary to explore how to improve the quality of sedated colonoscopy.
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Affiliation(s)
- Jie Han
- Department of Gastroenterology, General Hospital of Northern Theater Command, Shenyang, China
- Postgraduate College, Jinzhou Medical University, Jinzhou, China
| | - Rongrong Cao
- Department of Gastroenterology, General Hospital of Northern Theater Command, Shenyang, China
| | - Dongshuai Su
- Department of Gastroenterology, General Hospital of Northern Theater Command, Shenyang, China
| | - Yingchao Li
- Department of Gastroenterology, General Hospital of Northern Theater Command, Shenyang, China
- Postgraduate College, Dalian Medical University, Dalian, China
| | - Cong Gao
- Department of Gastroenterology, General Hospital of Northern Theater Command, Shenyang, China
| | - Ke Wang
- Department of Gastroenterology, General Hospital of Northern Theater Command, Shenyang, China
| | - Fei Gao
- Department of Gastroenterology, General Hospital of Northern Theater Command, Shenyang, China
| | - Xingshun Qi
- Department of Gastroenterology, General Hospital of Northern Theater Command, Shenyang, China
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Troya J, Sudarevic B, Krenzer A, Banck M, Brand M, Walter BM, Puppe F, Zoller WG, Meining A, Hann A. Direct comparison of multiple computer-aided polyp detection systems. Endoscopy 2024; 56:63-69. [PMID: 37532115 PMCID: PMC10736101 DOI: 10.1055/a-2147-0571] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 08/01/2023] [Indexed: 08/04/2023]
Abstract
BACKGROUND AND STUDY AIMS Artificial intelligence (AI)-based systems for computer-aided detection (CADe) of polyps receive regular updates and occasionally offer customizable detection thresholds, both of which impact their performance, but little is known about these effects. This study aimed to compare the performance of different CADe systems on the same benchmark dataset. METHODS 101 colonoscopy videos were used as benchmark. Each video frame with a visible polyp was manually annotated with bounding boxes, resulting in 129 705 polyp images. The videos were then analyzed by three different CADe systems, representing five conditions: two versions of GI Genius, Endo-AID with detection Types A and B, and EndoMind, a freely available system. Evaluation included an analysis of sensitivity and false-positive rate, among other metrics. RESULTS Endo-AID detection Type A, the earlier version of GI Genius, and EndoMind detected all 93 polyps. Both the later version of GI Genius and Endo-AID Type B missed 1 polyp. The mean per-frame sensitivities were 50.63 % and 67.85 %, respectively, for the earlier and later versions of GI Genius, 65.60 % and 52.95 %, respectively, for Endo-AID Types A and B, and 60.22 % for EndoMind. CONCLUSIONS This study compares the performance of different CADe systems, different updates, and different configuration modes. This might help clinicians to select the most appropriate system for their specific needs.
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Affiliation(s)
- Joel Troya
- Interventional and Experimental Endoscopy (InExEn), Department of Internal Medicine II, University Hospital Würzburg, Würzburg, Germany
- Bavarian Cancer Research Center, Würzburg, Germany
| | - Boban Sudarevic
- Interventional and Experimental Endoscopy (InExEn), Department of Internal Medicine II, University Hospital Würzburg, Würzburg, Germany
- Department of Internal Medicine and Gastroenterology, Katharinenhospital, Stuttgart, Germany
| | - Adrian Krenzer
- Artificial Intelligence and Knowledge Systems, Institute for Computer Science, Julius-Maximilians-Universität, Würzburg, Germany
| | - Michael Banck
- Artificial Intelligence and Knowledge Systems, Institute for Computer Science, Julius-Maximilians-Universität, Würzburg, Germany
| | - Markus Brand
- Interventional and Experimental Endoscopy (InExEn), Department of Internal Medicine II, University Hospital Würzburg, Würzburg, Germany
| | - Benjamin M. Walter
- Department of Internal Medicine I, University Hospital Ulm, Ulm, Germany
| | - Frank Puppe
- Artificial Intelligence and Knowledge Systems, Institute for Computer Science, Julius-Maximilians-Universität, Würzburg, Germany
| | - Wolfram G. Zoller
- Department of Internal Medicine and Gastroenterology, Katharinenhospital, Stuttgart, Germany
| | - Alexander Meining
- Interventional and Experimental Endoscopy (InExEn), Department of Internal Medicine II, University Hospital Würzburg, Würzburg, Germany
- Bavarian Cancer Research Center, Würzburg, Germany
| | - Alexander Hann
- Interventional and Experimental Endoscopy (InExEn), Department of Internal Medicine II, University Hospital Würzburg, Würzburg, Germany
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17
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Hiramatsu T, Nishizawa T, Kataoka Y, Yoshida S, Matsuno T, Mizutani H, Nakagawa H, Ebinuma H, Fujishiro M, Toyoshima O. Improved visibility of colorectal tumor by texture and color enhancement imaging with indigo carmine. World J Gastrointest Endosc 2023; 15:690-698. [PMID: 38187913 PMCID: PMC10768041 DOI: 10.4253/wjge.v15.i12.690] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 10/25/2023] [Accepted: 11/24/2023] [Indexed: 12/15/2023] Open
Abstract
BACKGROUND Accurate diagnosis and early resection of colorectal polyps are important to prevent the occurrence of colorectal cancer. However, technical factors and morphological factors of polyps itself can lead to missed diagnoses. Image-enhanced endoscopy and chromoendoscopy (CE) have been developed to facilitate an accurate diagnosis. There have been no reports on visibility using a combination of texture and color enhancement imaging (TXI) and CE for colorectal tumors.
AIM To investigate the visibility of margins and surfaces with the combination of TXI and CE for colorectal lesions.
METHODS This retrospective study included patients who underwent lower gastrointestinal endoscopy at the Toyoshima Endoscopy Clinic. We extracted polyps that were resected and diagnosed as adenomas or serrated polyps (hyperplastic polyps and sessile serrated lesions) from our endoscopic database. An expert endoscopist performed the lower gastrointestinal endoscopies and observed the lesion using white light imaging (WLI), TXI, CE, and TXI + CE modalities. Indigo carmine dye was used for CE. Three expert endoscopists rated the visibility of the margin and surface patterns in four ranks, from 1 to 4. The primary outcomes were the average visibility scores for the margin and surface patterns based on the WLI, TXI, CE, and TXI + CE observations. Visibility scores between the four modalities were compared by the Kruskal-Wallis and Dunn tests.
RESULTS A total of 48 patients with 81 polyps were assessed. The histological subtypes included 50 tubular adenomas, 16 hyperplastic polyps, and 15 sessile serrated lesions. The visibility scores for the margins based on WLI, TXI, CE, and TXI + CE were 2.44 ± 0.93, 2.90 ± 0.93, 3.37 ± 0.74, and 3.75 ± 0.49, respectively. The visibility scores for the surface based on WLI, TXI, CE, and TXI + CE were 2.25 ± 0.80, 2.84 ± 0.84, 3.12 ± 0.72, and 3.51 ± 0.60, respectively. The visibility scores for the detection and surface on TXI were significantly lower than that on CE but higher than that on WLI (P < 0.001). The visibility scores for the margin and surface on TXI + CE were significantly higher than those on CE (P < 0.001). In the sub-analysis of adenomas, the visibility for the margin and surface on TXI + CE was significantly better than that on WLI, TXI, and CE (P < 0.001). In the sub-analysis of serrated polyps, the visibility for the margin and surface on TXI + CE was also significantly better than that on WLI, TXI, and CE (P < 0.001).
CONCLUSION TXI + CE enhanced the visibility of the margin and surface compared to WLI, TXI, and CE for colorectal lesions.
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Affiliation(s)
- Takuma Hiramatsu
- Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Toshihiro Nishizawa
- Department of Gastroenterology and Hepatology, International University of Health and Welfare, Narita Hospital, Narita 286-8520, Japan
| | - Yosuke Kataoka
- Department of Gastroenterology, Toyoshima Endoscopy Clinic, Tokyo 157-0066, Japan
| | - Shuntaro Yoshida
- Department of Gastroenterology, Toyoshima Endoscopy Clinic, Tokyo 157-0066, Japan
| | - Tatsuya Matsuno
- Department of Gastroenterology, Toyoshima Endoscopy Clinic, Tokyo 157-0066, Japan
| | - Hiroya Mizutani
- Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Hideki Nakagawa
- Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Hirotoshi Ebinuma
- Department of Gastroenterology and Hepatology, International University of Health and Welfare, Narita Hospital, Narita 286-8520, Japan
| | - Mitsuhiro Fujishiro
- Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Osamu Toyoshima
- Department of Gastroenterology, Toyoshima Endoscopy Clinic, Tokyo 157-0066, Japan
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18
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Xin Y, Zhang Q, Liu X, Li B, Mao T, Li X. Application of artificial intelligence in endoscopic gastrointestinal tumors. Front Oncol 2023; 13:1239788. [PMID: 38144533 PMCID: PMC10747923 DOI: 10.3389/fonc.2023.1239788] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 11/17/2023] [Indexed: 12/26/2023] Open
Abstract
With an increasing number of patients with gastrointestinal cancer, effective and accurate early diagnostic clinical tools are required provide better health care for patients with gastrointestinal cancer. Recent studies have shown that artificial intelligence (AI) plays an important role in the diagnosis and treatment of patients with gastrointestinal tumors, which not only improves the efficiency of early tumor screening, but also significantly improves the survival rate of patients after treatment. With the aid of efficient learning and judgment abilities of AI, endoscopists can improve the accuracy of diagnosis and treatment through endoscopy and avoid incorrect descriptions or judgments of gastrointestinal lesions. The present article provides an overview of the application status of various artificial intelligence in gastric and colorectal cancers in recent years, and the direction of future research and clinical practice is clarified from a clinical perspective to provide a comprehensive theoretical basis for AI as a promising diagnostic and therapeutic tool for gastrointestinal cancer.
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Affiliation(s)
| | | | | | | | | | - Xiaoyu Li
- Department of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao, China
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19
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Pattarajierapan S, Tipmanee P, Supasiri T, Wisedopas N, Khomvilai S. Texture and color enhancement imaging (TXI) plus endocuff vision versus TXI alone for colorectal adenoma detection: a randomized controlled trial. Surg Endosc 2023; 37:8340-8348. [PMID: 37697119 DOI: 10.1007/s00464-023-10396-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 08/13/2023] [Indexed: 09/13/2023]
Abstract
BACKGROUND AND AIMS Increasing the adenoma detection rate (ADR) helps reduce the risk of post-colonoscopy colorectal cancer. Texture and Color Enhancement Imaging (TXI) improves ADR by enhancing the brightness and contrast of endoscopic images. Endocuff Vision (ECV) is a mucosal exposure device that helps flatten the colonic folds. The benefit of combining TXI with ECV has not been studied previously. Thus, we aimed to compare the ADR between using TXI combined with ECV and TXI alone. METHODS We conducted a prospective randomized controlled trial recruiting patients aged ≥ 40 years who underwent colonoscopy for colorectal cancer screening or gastrointestinal symptoms. The participants were randomized in a 1:1 ratio into the TXI with ECV (TXI + ECV) and the TXI groups. Experienced endoscopists with ≥ 40% ADR performed all colonoscopies. The primary outcome was ADR. RESULTS We had 189 and 192 patients in the TXI + ECV and TXI groups, respectively. The baseline characteristics of both groups were comparable. The ADR was significantly higher in the TXI + ECV group than in the TXI group (65.6% vs. 52.1%, P = 0.007). Adenoma per colonoscopy (APC) was significantly greater in the TXI + ECV group than in the TXI group (1.6 vs. 1.2, P = 0.021), prominently proximal (1.0 vs. 0.7, P = 0.031), non-pedunculated (1.4 vs. 1.1, P = 0.035), and diminutive (1.3 vs. 1, P = 0.045) adenomas. Serrated lesion detection rate, insertion time, and withdrawal time did not differ between the groups. CONCLUSION Adding ECV to TXI significantly improves ADR and APC compared to using TXI alone. TRIAL REGISTRATION Thai Clinical Trials Registry TCTR20220507004.
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Affiliation(s)
- Sukit Pattarajierapan
- Surgical Endoscopy Colorectal Division, Department of Surgery, Faculty of Medicine, Chulalongkorn University, 1873 Rama IV Road, Pathumwan, Bangkok, 10330, Thailand
- King Chulalongkorn Memorial Hospital, The Thai Red Cross Society, Bangkok, Thailand
| | - Phadungkiat Tipmanee
- Surgical Endoscopy Colorectal Division, Department of Surgery, Faculty of Medicine, Chulalongkorn University, 1873 Rama IV Road, Pathumwan, Bangkok, 10330, Thailand
| | - Thanan Supasiri
- Department of Preventive and Social Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Naruemon Wisedopas
- Department of Pathology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Supakij Khomvilai
- Surgical Endoscopy Colorectal Division, Department of Surgery, Faculty of Medicine, Chulalongkorn University, 1873 Rama IV Road, Pathumwan, Bangkok, 10330, Thailand.
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20
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Ferreira AO, Reves JB, Nascimento C, Frias-Gomes C, Costa-Santos MP, Ramos LR, Palmela C, Gloria L, Cravo M, Dinis-Ribeiro M, Canena J. Narrow Band Imaging versus White Light for the Detection of Sessile Serrated Colorectal Lesions: A Randomized Clinical Trial. GE PORTUGUESE JOURNAL OF GASTROENTEROLOGY 2023; 30:368-374. [PMID: 37868631 PMCID: PMC10586213 DOI: 10.1159/000526606] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 03/14/2022] [Indexed: 10/24/2023]
Abstract
Background Colorectal cancer (CRC) is a leading cause of cancer. The detection of pre-malignant lesions by colonoscopy is associated with reduced CRC incidence and mortality. Narrow band imaging has shown promising but conflicting results for the detection of serrated lesions. Methods We performed a randomized clinical trial to compare the mean detection of serrated lesions and hyperplastic polyps ≥10 mm with NBI or high-definition white light (HD-WL) withdrawal. We also compared all sessile serrated lesions (SSLs), adenoma, and polyp prevalence and rates. Results Overall, 782 patients were randomized (WL group 392 patients; NBI group 390 patients). The average number of serrated lesions and hyperplastic polyps ≥10 mm detected per colonoscopy (primary endpoint) was similar between the HD-WL and NBI group (0.118 vs. 0.156, p = 0.44). Likewise, the adenoma detection rate (55.2% vs. 53.2%, p = 0.58) and SSL detection rate (6.8% vs. 7.5%, p = 0.502) were not different between the two study groups. Withdrawal time was higher in the NBI group (10.88 vs. 9.47 min, p = 0.004), with a statistically nonsignificant higher total procedure time (20.97 vs. 19.30 min, p = 0.052). Conclusions The routine utilization of narrow band imaging does not improve the detection of serrated class lesions or any pre-malignant lesion and increases the withdrawal time.
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Affiliation(s)
- Alexandre Oliveira Ferreira
- Department of Gastroenterology, Hospital Beatriz Ângelo, Loures, Portugal
- Department of Gastroenterology, Hospital da Luz Lisboa, Lisboa, Portugal
| | - Joana Branco Reves
- Department of Gastroenterology, Hospital Beatriz Ângelo, Loures, Portugal
| | | | | | - Maria Pia Costa-Santos
- Department of Gastroenterology, Hospital do Divino Espirito Santo, Ponta Delgada, Portugal
| | - Lídia Roque Ramos
- Department of Gastroenterology, Hospital Beatriz Ângelo, Loures, Portugal
- Department of Gastroenterology, Hospital da Luz Lisboa, Lisboa, Portugal
| | - Carolina Palmela
- Department of Gastroenterology, Hospital Beatriz Ângelo, Loures, Portugal
- Department of Gastroenterology, Hospital da Luz Lisboa, Lisboa, Portugal
| | - Luísa Gloria
- Department of Gastroenterology, Hospital Beatriz Ângelo, Loures, Portugal
| | - Marília Cravo
- Department of Gastroenterology, Hospital Beatriz Ângelo, Loures, Portugal
- Department of Gastroenterology, Hospital da Luz Lisboa, Lisboa, Portugal
| | - Mário Dinis-Ribeiro
- Department of Gastroenterology, Instituto Português de Oncologia, Porto, Portugal
- Cintesis, Center for Health Technology and Services Research, Porto, Portugal
| | - Jorge Canena
- Cintesis, Center for Health Technology and Services Research, Porto, Portugal
- Department of Gastroenterology, Nova Medical School/Faculty of Medical Sciences, Lisboa, Portugal
- University Center of Gastroenterology, Hospital Cuf Tejo, Lisbon, Portugal
- Department of Gastroenterology, Professor Doutor Fernando Fonseca Hospital, Amadora, Portugal
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21
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Rajivan R, Thayalasekaran S. Improving polyp detection at colonoscopy: Non-technological techniques. World J Gastrointest Endosc 2023; 15:354-367. [PMID: 37274557 PMCID: PMC10236979 DOI: 10.4253/wjge.v15.i5.354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Revised: 02/03/2023] [Accepted: 04/12/2023] [Indexed: 05/16/2023] Open
Abstract
Colonoscopy and polypectomy remain the gold standard investigation for the detection and prevention of colorectal cancer. Halting the progression of colonic adenoma through adequate detection of pre-cancerous lesions interrupts the progression to carcinoma. The adenoma detection rate is a key performance indicator. Increasing adenoma detection rates are associated with reducing rates of interval colorectal cancer. Endoscopists with high baseline adenoma detection rate have a meticulous technique during colonoscopy withdrawal that improves their adenoma detection. This minireview article summarizes the evidence on the following simple operator techniques and their effects on the adenoma detection rate; minimum withdrawal times, dynamic patient position change and proximal colon retroflexion.
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Affiliation(s)
- Ragul Rajivan
- Buckingham Medical School, Milton Keynes MK18 1EG, United Kingdom
| | - Sreedhari Thayalasekaran
- Department of Gastroenterology, University Hospitals of Leicester, Leicester LE1 5WW, United Kingdom
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22
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Jiang W, Xin L, Zhu S, Liu Z, Wu J, Ji F, Yu C, Shen Z. Risk Factors Related to Polyp Miss Rate of Short-Term Repeated Colonoscopy. Dig Dis Sci 2023; 68:2040-2049. [PMID: 37017819 DOI: 10.1007/s10620-023-07848-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 01/25/2023] [Indexed: 04/06/2023]
Abstract
BACKGROUND Colonoscopy is regarded as the gold standard for colorectal cancer screening and surveillance. However, previous studies have reported large numbers of polyps were missed during routine colonoscopy. AIMS To evaluate polyp miss rate in short-term repeated colonoscopy and explore the related risk factors. METHODS A total of 3695 patients and 12,412 polyps were included in our studies. We calculated the miss rate for polyps of different sizes, pathologies, morphologies and locations, and patients of different characteristics. Univariate and multivariate logistic regression analyses were performed to evaluate risk factors related to miss rate. RESULTS The polyp miss rate was 26.3% and the adenoma miss rate was 22.4% in our study. The advanced adenoma miss rate was 11.0% and the proportion of missed advanced adenomas in missed adenomas sized > 5 mm was up to 22.8%. Polyps sized < 5 mm had a significantly higher miss rate. The miss rate of pedunculated polyps was lower than that of flat or sessile polyps. Polyps in the right colon were prone to be missed than that in the left colon. For older men, current smokers, individuals with multiple polyps detected in the first colonoscopy, the risk of missing polyps was significantly higher. CONCLUSION Nearly a quarter of polyps were missed during routine colonoscopy. Diminutive, flat, sessile, and right-side colon polyps were at higher risk of missing. The risk of missing polyps was higher in older men, current smokers, and individuals with multiple polyps detected in the first colonoscopy than their counterparts.
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Affiliation(s)
- Wenxi Jiang
- Department of Gastroenterology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310003, China
| | - Linying Xin
- Department of Gastroenterology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310003, China
| | - Shefeng Zhu
- Department of Gastroenterology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310003, China
| | - Zhaoxue Liu
- Department of Gastroenterology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310003, China
| | - Jiali Wu
- Department of Gastroenterology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310003, China
| | - Feng Ji
- Department of Gastroenterology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310003, China
| | - Chaohui Yu
- Department of Gastroenterology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310003, China
| | - Zhe Shen
- Department of Gastroenterology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310003, China.
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23
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Mazumdar S, Sinha S, Jha S, Jagtap B. Computer-aided automated diminutive colonic polyp detection in colonoscopy by using deep machine learning system; first indigenous algorithm developed in India. Indian J Gastroenterol 2023; 42:226-232. [PMID: 37145230 DOI: 10.1007/s12664-022-01331-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Accepted: 12/18/2022] [Indexed: 05/06/2023]
Abstract
BACKGROUND Colonic polyps can be detected and resected during a colonoscopy before cancer development. However, about 1/4th of the polyps could be missed due to their small size, location or human errors. An artificial intelligence (AI) system can improve polyp detection and reduce colorectal cancer incidence. We are developing an indigenous AI system to detect diminutive polyps in real-life scenarios that can be compatible with any high-definition colonoscopy and endoscopic video- capture software. METHODS We trained a masked region-based convolutional neural network model to detect and localize colonic polyps. Three independent datasets of colonoscopy videos comprising 1,039 image frames were used and divided into a training dataset of 688 frames and a testing dataset of 351 frames. Of 1,039 image frames, 231 were from real-life colonoscopy videos from our centre. The rest were from publicly available image frames already modified to be directly utilizable for developing the AI system. The image frames of the testing dataset were also augmented by rotating and zooming the images to replicate real-life distortions of images seen during colonoscopy. The AI system was trained to localize the polyp by creating a 'bounding box'. It was then applied to the testing dataset to test its accuracy in detecting polyps automatically. RESULTS The AI system achieved a mean average precision (equivalent to specificity) of 88.63% for automatic polyp detection. All polyps in the testing were identified by AI, i.e., no false-negative result in the testing dataset (sensitivity of 100%). The mean polyp size in the study was 5 (± 4) mm. The mean processing time per image frame was 96.4 minutes. CONCLUSIONS This AI system, when applied to real-life colonoscopy images, having wide variations in bowel preparation and small polyp size, can detect colonic polyps with a high degree of accuracy.
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Affiliation(s)
- Srijan Mazumdar
- Indian Institute of Liver and Digestive Sciences, Sitala (East), Jagadishpur, Sonarpur, 24 Parganas (South), Kolkata, 700 150, India.
| | - Saugata Sinha
- Visvesvaraya National Institute of Technology, South Ambazari Road, Nagpur, 440 010, India
| | - Saurabh Jha
- Visvesvaraya National Institute of Technology, South Ambazari Road, Nagpur, 440 010, India
| | - Balaji Jagtap
- Visvesvaraya National Institute of Technology, South Ambazari Road, Nagpur, 440 010, India
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24
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Krenzer A, Banck M, Makowski K, Hekalo A, Fitting D, Troya J, Sudarevic B, Zoller WG, Hann A, Puppe F. A Real-Time Polyp-Detection System with Clinical Application in Colonoscopy Using Deep Convolutional Neural Networks. J Imaging 2023; 9:jimaging9020026. [PMID: 36826945 PMCID: PMC9967208 DOI: 10.3390/jimaging9020026] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 01/18/2023] [Accepted: 01/19/2023] [Indexed: 01/26/2023] Open
Abstract
Colorectal cancer (CRC) is a leading cause of cancer-related deaths worldwide. The best method to prevent CRC is with a colonoscopy. During this procedure, the gastroenterologist searches for polyps. However, there is a potential risk of polyps being missed by the gastroenterologist. Automated detection of polyps helps to assist the gastroenterologist during a colonoscopy. There are already publications examining the problem of polyp detection in the literature. Nevertheless, most of these systems are only used in the research context and are not implemented for clinical application. Therefore, we introduce the first fully open-source automated polyp-detection system scoring best on current benchmark data and implementing it ready for clinical application. To create the polyp-detection system (ENDOMIND-Advanced), we combined our own collected data from different hospitals and practices in Germany with open-source datasets to create a dataset with over 500,000 annotated images. ENDOMIND-Advanced leverages a post-processing technique based on video detection to work in real-time with a stream of images. It is integrated into a prototype ready for application in clinical interventions. We achieve better performance compared to the best system in the literature and score a F1-score of 90.24% on the open-source CVC-VideoClinicDB benchmark.
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Affiliation(s)
- Adrian Krenzer
- Department of Artificial Intelligence and Knowledge Systems, Julius-Maximilians University of Würzburg, Sanderring 2, 97070 Würzburg, Germany
- Interventional and Experimental Endoscopy (InExEn), Department of Internal Medicine II, University Hospital Würzburg, Oberdürrbacher Straße 6, 97080 Würzburg, Germany
| | - Michael Banck
- Department of Artificial Intelligence and Knowledge Systems, Julius-Maximilians University of Würzburg, Sanderring 2, 97070 Würzburg, Germany
- Interventional and Experimental Endoscopy (InExEn), Department of Internal Medicine II, University Hospital Würzburg, Oberdürrbacher Straße 6, 97080 Würzburg, Germany
| | - Kevin Makowski
- Department of Artificial Intelligence and Knowledge Systems, Julius-Maximilians University of Würzburg, Sanderring 2, 97070 Würzburg, Germany
| | - Amar Hekalo
- Department of Artificial Intelligence and Knowledge Systems, Julius-Maximilians University of Würzburg, Sanderring 2, 97070 Würzburg, Germany
| | - Daniel Fitting
- Interventional and Experimental Endoscopy (InExEn), Department of Internal Medicine II, University Hospital Würzburg, Oberdürrbacher Straße 6, 97080 Würzburg, Germany
| | - Joel Troya
- Interventional and Experimental Endoscopy (InExEn), Department of Internal Medicine II, University Hospital Würzburg, Oberdürrbacher Straße 6, 97080 Würzburg, Germany
| | - Boban Sudarevic
- Interventional and Experimental Endoscopy (InExEn), Department of Internal Medicine II, University Hospital Würzburg, Oberdürrbacher Straße 6, 97080 Würzburg, Germany
- Department of Internal Medicine and Gastroenterology, Katharinenhospital, Kriegsbergstrasse 60, 70174 Stuttgart, Germany
| | - Wolfgang G Zoller
- Interventional and Experimental Endoscopy (InExEn), Department of Internal Medicine II, University Hospital Würzburg, Oberdürrbacher Straße 6, 97080 Würzburg, Germany
- Department of Internal Medicine and Gastroenterology, Katharinenhospital, Kriegsbergstrasse 60, 70174 Stuttgart, Germany
| | - Alexander Hann
- Interventional and Experimental Endoscopy (InExEn), Department of Internal Medicine II, University Hospital Würzburg, Oberdürrbacher Straße 6, 97080 Würzburg, Germany
| | - Frank Puppe
- Department of Artificial Intelligence and Knowledge Systems, Julius-Maximilians University of Würzburg, Sanderring 2, 97070 Würzburg, Germany
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25
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Yoshida N, Inoue K, Dohi O, Kobayashi R, Tomita Y, Hashimoto H, Sugino S, Hirose R, Murakami T, Inada Y, Morinaga Y, Itoh Y. Analysis of Texture and Color Enhancement Imaging for Improving the Visibility of Non-polypoid Colorectal Lesions. Dig Dis Sci 2022; 67:5657-5665. [PMID: 35318554 DOI: 10.1007/s10620-022-07460-5] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 02/18/2022] [Indexed: 01/05/2023]
Abstract
INTRODUCTION An endoscopic system using 5-color light-emitting diodes (LEDs) (EVIS X1; Olympus Co., Tokyo, Japan), which includes texture and color enhancement imaging (TXI), has been released. In this study, we analyzed the effects of TXI on the visibility of non-polypoid colorectal lesions and its diagnostic accuracy. METHODS We reviewed 101 non-polypoid lesions from 26 patients observed with white light imaging (WLI), narrow band imaging (NBI), and TXI. One representative image of each mode was evaluated by 6 endoscopists using a polyp visibility score of 4 (excellent) to 1 (poor). We calculated the color difference (CD) values for each lesion in the three modes. For tumor characteristics, one representative image of TXI and NBI magnification was evaluated by 3 experts according to a NBI classification. RESULTS The least squares means [95% confidence interval] of polyp visibility score of TXI (3.42 [3.06-3.77]) was significantly higher than that of WLI (2.85 [2.49-3.20], p < 0.001) but not that of NBI (3.33 [2.98-3.69], p = 0.258). The CD value of TXI (13.3 ± 6.3) was higher than that of WLI (9.7 ± 6.0, p < 0.001) but not that of NBI (13.1 ± 6.8, p = 0.81). For sessile serrated lesions, the CD value of TXI (11.1 ± 4.4) tended to be lower than that of NBI (12.6 ± 6.0, p = 0.07). The diagnostic accuracy and confidence level of magnification for NBI were significantly better than those for TXI (87.1 vs. 80.5%, p = 0.027, 87.5 vs. 62.7%, p < 0.001, respectively). CONCLUSION TXI showed better visibility than WLI in terms of the endoscopist's score and CD value and may improve polyp detection.
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Affiliation(s)
- Naohisa Yoshida
- Department of Molecular Gastroenterology and Hepatology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto, 602-8566, Japan.
| | - Ken Inoue
- Department of Molecular Gastroenterology and Hepatology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto, 602-8566, Japan
| | - Osamu Dohi
- Department of Molecular Gastroenterology and Hepatology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto, 602-8566, Japan
| | - Reo Kobayashi
- Department of Molecular Gastroenterology and Hepatology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto, 602-8566, Japan
| | - Yuri Tomita
- Department of Molecular Gastroenterology and Hepatology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto, 602-8566, Japan
| | - Hikaru Hashimoto
- Department of Molecular Gastroenterology and Hepatology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto, 602-8566, Japan
| | - Satoshi Sugino
- Department of Molecular Gastroenterology and Hepatology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto, 602-8566, Japan
| | - Ryohei Hirose
- Department of Molecular Gastroenterology and Hepatology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto, 602-8566, Japan
| | - Takaaki Murakami
- Department of Gastroenterology, Aiseikai Yamashina Hospital, Kyoto, Japan
| | - Yutaka Inada
- Department of Gastroenterology, Japanese Red Cross Kyoto Daiichi Hospital, Kyoto, Japan
| | - Yukiko Morinaga
- Department of Surgical Pathology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Yoshito Itoh
- Department of Molecular Gastroenterology and Hepatology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto, 602-8566, Japan
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Sakamoto T, Ikematsu H, Tamai N, Mizuguchi Y, Takamaru H, Murano T, Shinmura K, Sasabe M, Furuhashi H, Sumiyama K, Saito Y. Detection of colorectal adenomas with texture and color enhancement imaging: Multicenter observational study. Dig Endosc 2022; 35:529-537. [PMID: 36398944 DOI: 10.1111/den.14480] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Accepted: 11/17/2022] [Indexed: 11/19/2022]
Abstract
OBJECTIVES We aimed to evaluate the efficacy of texture and color enhancement imaging (TXI), which allows the acquisition of brighter images with enhanced color and surface structure in colorectal polyp detection compared to white light imaging. METHODS Patients who underwent colonoscopy with repeated ascending colon observation using TXI and white light imaging between August 2020 and January 2021 were identified in three institutions. The outcomes included the mean number of adenomas detected per procedure (MAP), adenoma detection rate (ADR), and ascending colonic adenoma miss rate (Ac-AMR). Logistic regression was used to determine the effects of the variables on the outcomes. RESULTS We included 1043 lesions from 470 patients in the analysis. The MAP, ADR, flat polyp detection rate, and Ac-AMR in TXI and white light imaging were 1.5% (95% confidence interval 1.3-1.6%) vs. 1.0% (0.9-1.1%), 58.2% (51.7-64.6%) vs. 46.8% (40.2-53.4%), 66.2% (59.8-72.2%) vs. 49.8% (43.2-56.4%), and 17.9% (12.1-25.2%) vs. 28.2% (20.0-37.6%), respectively. TXI, age, withdrawal time, and endoscopy type were identified as significant factors affecting the MAP and the ADR using multivariate regression analysis. CONCLUSIONS Our study indicates that TXI improve the detection of colorectal neoplastic lesions. However, prospective randomized trials are required to confirm these findings.
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Affiliation(s)
- Taku Sakamoto
- Endoscopy Division, National Cancer Center Hospital, Tokyo, Japan
| | - Hiroaki Ikematsu
- Division of Science and Technology for Endoscopy, National Cancer Center Hospital East, Chiba, Japan.,Department of Gastroenterology and Endoscopy, National Cancer Center Hospital East, Chiba, Japan
| | - Naoto Tamai
- Department of Endoscopy, The Jikei University School of Medicine, Tokyo, Japan
| | | | | | - Tatsuro Murano
- Department of Gastroenterology and Endoscopy, National Cancer Center Hospital East, Chiba, Japan
| | - Kensuke Shinmura
- Department of Gastroenterology and Endoscopy, National Cancer Center Hospital East, Chiba, Japan
| | - Maasa Sasabe
- Department of Gastroenterology and Endoscopy, National Cancer Center Hospital East, Chiba, Japan
| | - Hiroto Furuhashi
- Department of Endoscopy, The Jikei University School of Medicine, Tokyo, Japan
| | - Kazuki Sumiyama
- Department of Endoscopy, The Jikei University School of Medicine, Tokyo, Japan
| | - Yutaka Saito
- Endoscopy Division, National Cancer Center Hospital, Tokyo, Japan
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27
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Kamal F, Khan MA, Lee-Smith W, Sharma S, Acharya A, Imam Z, Farooq U, Hanson J, Pulous V, Aziz M, Chandan S, Kouanda A, Dai SC, Munroe CA, Howden CW. Second exam of right colon improves adenoma detection rate: Systematic review and meta-analysis of randomized controlled trials. Endosc Int Open 2022; 10:E1391-E1398. [PMID: 36262512 PMCID: PMC9576333 DOI: 10.1055/a-1896-4499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Accepted: 07/08/2022] [Indexed: 11/06/2022] Open
Abstract
Background and study aims A second examination of the right colon, either as a second forward view (SFV) or as retroflexion (RF) in the cecum, can increase adenoma detection rate (ADR) in the right colon. In this meta-analysis, we have evaluated the role of a second examination of the right colon in improving ADR. Methods We reviewed several databases to identify randomized controlled trials that compared right colon SFV with no SFV, and RCTs that compared SFV with RF in the right colon, and reported data on ADR. Our outcomes of interest were ADR and polyp detection rate (PDR) with SFV vs no SFV, right colon and total withdrawal times, and additional ADR and PDR with SFV vs RF. For categorical variables, we calculated pooled risk ratios (RRs) with 95 % confidence intervals (CIs); for continuous variables, we calculated standardized mean difference (SMD) with 95 % CI. Data were analyzed using random effects model. Results We included six studies with 3901 patients. Comparing SFV with no SFV, right colon ADR and PDR were significantly higher in the SFV group: ADR (RR [95 % CI] 1.39 [1.22,1.58]) and PDR (RR [95 % CI] 1.47 [1.30, 1.65]). We found no significant difference in right colon withdrawal time (SMD [95 % CI] 1.54 [-0.20,3.28]) or total withdrawal time (SMD (95 % CI) 0.37 [-0.39,1.13]) with and without SFV. We found no significant difference in additional ADR between SFV and RF. Conclusions SFV of the right colon significantly increases right-sided and overall ADR.
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Affiliation(s)
- Faisal Kamal
- Division of Gastroenterology, University of California-San Francisco, California, United States
| | - Muhammad Ali Khan
- Division of Gastroenterology, Hepatology and Nutrition, University of Texas MD
| | - Wade Lee-Smith
- Mulford Health Sciences Library, University of Toledo, Toledo, Ohio, United States
| | - Sachit Sharma
- Department of Medicine, University of Toledo, Toledo, Ohio, United States,Division of Gastroenterology, Virginia Commonwealth University, Richmond, Virginia, United States
| | - Ashu Acharya
- Department of Medicine, University of Toledo, Toledo, Ohio, United States
| | - Zaid Imam
- Division of Gastroenterology, William Beaumont Hospital, Royal Oak, Michigan, United States
| | - Umer Farooq
- Department of Medicine, Loyola Medicine/MacNeal Hospital, Berwyn, Illinois, United States
| | - John Hanson
- Department of Medicine, University of Tennessee Health Sciences Center, Memphis, Tennessee, United States
| | - Vian Pulous
- Department of Medicine, University of Tennessee Health Sciences Center, Memphis, Tennessee, United States
| | - Muhammad Aziz
- Division of Gastroenterology, University of Toledo, Toledo, Ohio, United States
| | - Saurabh Chandan
- Division of Gastroenterology, Creighton University Medical Center, Omaha, Nebraska, United States
| | - Abdul Kouanda
- Division of Gastroenterology, University of California-San Francisco, California, United States
| | - Sun-Chuan Dai
- Division of Gastroenterology, University of California-San Francisco, California, United States
| | - Craig A. Munroe
- Division of Gastroenterology, University of California-San Francisco, California, United States
| | - Colin W. Howden
- Division of Gastroenterology, University of Tennessee Health Sciences Center, Memphis, Tennessee, United States
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Nisha JS, Gopi VP, Palanisamy P. COLORECTAL POLYP DETECTION USING IMAGE ENHANCEMENT AND SCALED YOLOv4 ALGORITHM. BIOMEDICAL ENGINEERING: APPLICATIONS, BASIS AND COMMUNICATIONS 2022; 34. [DOI: 10.4015/s1016237222500260] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/01/2025]
Abstract
Colorectal cancer (CRC) is the common cancer-related cause of death globally. It is now the third leading cause of cancer-related mortality worldwide. As the number of instances of colorectal polyps rises, it is more important than ever to identify and diagnose them early. Object detection models have recently become popular for extracting highly representative features. Colonoscopy is shown to be a useful diagnostic procedure for examining anomalies in the digestive system’s bottom half. This research presents a novel image-enhancing approach followed by a Scaled YOLOv4 Network for the early diagnosis of polyps, lowering the high risk of CRC therapy. The proposed network is trained using the CVC ClinicDB and the CVC ColonDB and the Etis Larib database are used for testing. On the CVC ColonDB database, the performance metrics are precision (95.13%), recall (74.92%), F1-score (83.19%), and F2-score (89.89%). On the ETIS Larib database, the performance metrics are precision (94.30%), recall (77.30%), F1-score (84.90%), and F2-score (80.20%). On both the databases, the suggested methodology outperforms the present one in terms of F1-score, F2-score, and precision compared to the futuristic method. The proposed Yolo object identification model provides an accurate polyp detection strategy in a real-time application.
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Affiliation(s)
- J. S. Nisha
- Department of Electronics and Communication Engineering, National Institute of Technology Tiruchirappalli, Tamil Nadu 620015, India
| | - Varun P. Gopi
- Department of Electronics and Communication Engineering, National Institute of Technology Tiruchirappalli, Tamil Nadu 620015, India
| | - P. Palanisamy
- Department of Electronics and Communication Engineering, National Institute of Technology Tiruchirappalli, Tamil Nadu 620015, India
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Tomar NK, Srivastava A, Bagci U, Jha D. Automatic Polyp Segmentation with Multiple Kernel Dilated Convolution Network. PROCEEDINGS. IEEE INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS 2022; 2022:317-322. [PMID: 36777398 PMCID: PMC9921313 DOI: 10.1109/cbms55023.2022.00063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
The detection and removal of precancerous polyps through colonoscopy is the primary technique for the prevention of colorectal cancer worldwide. However, the miss rate of colorectal polyp varies significantly among the endoscopists. It is well known that a computer-aided diagnosis (CAD) system can assist endoscopists in detecting colon polyps and minimize the variation among endoscopists. In this study, we introduce a novel deep learning architecture, named MKDCNet, for automatic polyp segmentation robust to significant changes in polyp data distribution. MKDCNet is simply an encoder-decoder neural network that uses the pre-trained ResNet50 as the encoder and novel multiple kernel dilated convolution (MKDC) block that expands the field of view to learn more robust and heterogeneous representation. Extensive experiments on four publicly available polyp datasets and cell nuclei dataset show that the proposed MKDCNet outperforms the state-of-the-art methods when trained and tested on the same dataset as well when tested on unseen polyp datasets from different distributions. With rich results, we demonstrated the robustness of the proposed architecture. From an efficiency perspective, our algorithm can process at (≈ 45) frames per second on RTX 3090 GPU. MKDCNet can be a strong benchmark for building real-time systems for clinical colonoscopies. The code of the proposed MKDCNet is available at https://github.com/nikhilroxtomar/MKDCNet.
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Affiliation(s)
- Nikhil Kumar Tomar
- School of Computer and Information Sciences, Indira Gandhi National Open University
| | | | - Ulas Bagci
- Machine and Hybrid Intelligence Lab, Department of Radiology, Northwestern University, USA
| | - Debesh Jha
- Machine and Hybrid Intelligence Lab, Department of Radiology, Northwestern University, USA
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30
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Hori K, Ikematsu H, Yamamoto Y, Matsuzaki H, Takeshita N, Shinmura K, Yoda Y, Kiuchi T, Takemoto S, Yokota H, Yano T. Detecting colon polyps in endoscopic images using artificial intelligence constructed with automated collection of annotated images from an endoscopy reporting system. Dig Endosc 2022; 34:1021-1029. [PMID: 34748658 DOI: 10.1111/den.14185] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 11/02/2021] [Accepted: 11/05/2021] [Indexed: 12/28/2022]
Abstract
BACKGROUND Artificial intelligence (AI) has made considerable progress in image recognition, especially in the analysis of endoscopic images. The availability of large-scale annotated datasets has contributed to the recent progress in this field. Datasets of high-quality annotated endoscopic images are widely available, particularly in Japan. A system for collecting annotated data reported daily could aid in accumulating a significant number of high-quality annotated datasets. AIM We assessed the validity of using daily annotated endoscopic images in a constructed reporting system for a prototype AI model for polyp detection. METHODS We constructed an automated collection system for daily annotated datasets from an endoscopy reporting system. The key images were selected and annotated for each case only during daily practice, not to be performed retrospectively. We automatically extracted annotated endoscopic images of diminutive colon polyps that had been diagnosed (study period March-September 2018) using the keywords of diagnostic information, and additionally collect the normal colon images. The collected dataset was devised into training and validation to build and evaluate the AI system. The detection model was developed using a deep learning algorithm, RetinaNet. RESULTS The automated system collected endoscopic images (47,391) from colonoscopies (745), and extracted key colon polyp images (1356) with localized annotations. The sensitivity, specificity, and accuracy of our AI model were 97.0%, 97.7%, and 97.3% (n = 300), respectively. CONCLUSION The automated system enabled the development of a high-performance colon polyp detector using images in endoscopy reporting system without the efforts of retrospective annotation works.
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Affiliation(s)
- Keisuke Hori
- Department of Gastroenterology and Endoscopy, National Cancer Center Hospital East, Chiba, Japan.,Division of Science and Technology for Endoscopy, Exploratory Oncology Research & Clinical Trial Center, National Cancer Center Hospital East, Chiba, Japan
| | - Hiroaki Ikematsu
- Department of Gastroenterology and Endoscopy, National Cancer Center Hospital East, Chiba, Japan.,Division of Science and Technology for Endoscopy, Exploratory Oncology Research & Clinical Trial Center, National Cancer Center Hospital East, Chiba, Japan
| | - Yoichi Yamamoto
- Department of Gastroenterology and Endoscopy, National Cancer Center Hospital East, Chiba, Japan
| | - Hiroki Matsuzaki
- Medical Device Innovation Center, National Cancer Center Hospital East, Chiba, Japan
| | - Nobuyoshi Takeshita
- Medical Device Innovation Center, National Cancer Center Hospital East, Chiba, Japan
| | - Kensuke Shinmura
- Department of Gastroenterology and Endoscopy, National Cancer Center Hospital East, Chiba, Japan
| | - Yusuke Yoda
- Department of Gastroenterology and Endoscopy, National Cancer Center Hospital East, Chiba, Japan.,Medical Device Innovation Center, National Cancer Center Hospital East, Chiba, Japan
| | - Takayoshi Kiuchi
- System Engineering Division, FUJIFILM Medical IT Solutions Co., Ltd., Tokyo, Japan
| | - Satoko Takemoto
- Image Processing Research Team, RIKEN Center for Advanced Photonics, Saitama, Japan
| | - Hideo Yokota
- Image Processing Research Team, RIKEN Center for Advanced Photonics, Saitama, Japan.,Advanced Data Science Project, RIKEN Information R&D and Strategy Headquarters, Saitama, Japan
| | - Tomonori Yano
- Department of Gastroenterology and Endoscopy, National Cancer Center Hospital East, Chiba, Japan.,Medical Device Innovation Center, National Cancer Center Hospital East, Chiba, Japan
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Efficacy and tolerability of a low-residue diet for bowel preparation: systematic review and meta-analysis. Surg Endosc 2022; 36:3858-3875. [PMID: 34471982 DOI: 10.1007/s00464-021-08703-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Accepted: 08/23/2021] [Indexed: 01/29/2023]
Abstract
BACKGROUND Colorectal cancer (CRC) contributes significantly to cancer mortality worldwide. In an effort to reduce the risk of death, detection of polyps through colonoscopy is crucial. The success of the colonoscopy depends on the diet administered the day before the test. Our aim was to evaluate the efficacy, tolerability, and adverse effects of bowel preparation when using a low-residual diet (LRD) compared to a clear-liquid diet (CLD) the day before a scheduled colonoscopy. METHODS PubMed/Medline, Embase, the Cochrane Central Register of Controlled Trials (CENTRAL) and Scopus databases were searched. We included studies of patients undergoing a scheduled colonoscopy for CRC screening and surveillance or for diagnostic purposes that compared a LRD with a CLD the day before the colonoscopy. Efficacy, the primary outcome, was evaluated as the rate of adequate bowel preparation. Secondary outcomes were tolerability and adverse effects of bowel preparation. RESULTS Thirteen RCTs (N = 2587) were included. Patients receiving a LRD compared to a CLD showed no difference in adequate bowel preparations (RR 1.02; 95% CI 0.99-1.05; I2 = 60%). However, the LRD improved patient tolerability (RR 1.17; 95% CI 1.12-1.23; I2 = 66%) and had fewer adverse effects (RR 0.89; 95% CI 0.84-0.94; I2 = 73%) compared to the CLD. Groups using a LRD with 4L of polyethylene glycol in a single dose or a LRD with < 2000 kcal < 32 g of fibres/day had better tolerability. CONCLUSION Based on these findings, our recommendation is strong in favour of a LRD for bowel preparation of patients undergoing a scheduled colonoscopy. This diet could also be useful as a preoperative colonic preparation, but this requires further research.
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Continuous ADR50 monitoring through automated linkage between endoscopy and pathology: a quality improvement initiative in a Brussels public hospital. Acta Gastroenterol Belg 2022; 85:259-266. [DOI: 10.51821/85.2.9706] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
Background and study aim: Adenoma detection rate in patients aged 50 years or older (ADR50) is considered by the European Society of Gastrointestinal Endoscopy (ESGE) a key performance measures for lower gastrointestinal endoscopy. Technical and human resources constrain implementation of recording quality monitoring. The aim was to deploy an infrastructure for continuous monitoring of endoscopy quality indicators. And to evaluate its potential benefit on quality performance.
Methods: A company reporting system was adapted by adding a dedicated tab for quality monitoring, including: preparation, progression, number of resected polyps. Automated linkage with the pathology database resulted in continuous monitoring of inter alia: rate of adequate bowel preparation, cecal intubation rate and ADR50. Continuous monitoring was done for all nine endoscopists working at our center, with individual feedback after 4, 9 and 28 months.
Results: A total of 1434 colonoscopies were performed during the first 9 months of monitoring, 682 during the first 4 months, 752 during the following 5 months. Five months after feedback a global increase in ADR50 of 4.6% (22.9% to 27.5%) (P<0.05) was observed, compared to the first 4 months. Thus meeting the benchmark (≥25%) recommended by ESGE. A durable effect of monitoring and feedback was observed after 28 months (ADR50: 29.4%).
Conclusions: An easy to use infrastructure for registration of quality monitoring in daily endoscopy practice, automatically linking the pathology database, facilitates continuous monitoring of endoscopy quality indicators. A global and durable ADR50 increase was observed after feedback, considered a quality improvement in performance of lower gastrointestinal endoscopy at our center.
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Park SB, Cha JM. Quality indicators in colonoscopy: the chasm between ideal and reality. Clin Endosc 2022; 55:332-338. [PMID: 35656625 PMCID: PMC9178135 DOI: 10.5946/ce.2022.037] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/25/2021] [Accepted: 02/28/2022] [Indexed: 11/30/2022] Open
Abstract
Continuous measurement of quality indicators (QIs) should be a routine part of colonoscopy, as a wide variation still exists in the performance and quality levels of colonoscopy in Korea. Among the many QIs of colonoscopy, the adenoma detection rate, average withdrawal time, bowel preparation adequacy, and cecal intubation rate should be monitored in daily clinical practice to improve the quality of the procedure. The adenoma detection rate is the best indicator of the quality of colonoscopy; however, it has many limitations for universal use in daily practice. With the development of natural language processing, the adenoma detection rate is expected to become more effective and useful. It is important that colonoscopists do not strictly and mechanically maintain an average withdrawal time of 6 minutes but instead perform careful colonoscopy to maximally expose the colonic mucosa with a withdrawal time of at least 6 minutes. To achieve adequate bowel preparation, documentation of bowel preparation with the Boston Bowel Preparation Scale (BBPS) should be a routine part of colonoscopy. When colonoscopists routinely followed the bowel preparation protocols, ≥85% of outpatient screening colonoscopies had a BBPS score of ≥6. In addition, the cecal intubation rate should be ≥95% of all screening colonoscopies. The first step in improving colonoscopy quality in Korea is to apply these key performance measurements in clinical practice.
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Affiliation(s)
- Su Bee Park
- Department of Internal Medicine, Kyung Hee University Hospital at Gangdong, Kyung Hee University School of Medicine, Seoul, Korea
| | - Jae Myung Cha
- Department of Internal Medicine, Kyung Hee University Hospital at Gangdong, Kyung Hee University School of Medicine, Seoul, Korea
- Correspondence: Jae Myung Cha Department of Internal Medicine, Kyung Hee University Hospital at Gangdong, Kyung Hee University School of Medicine, 892 Dongnam-ro, Gangdong-gu, Seoul 05278, Korea E-mail:
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34
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Hohmann M, Ganzleben I, Grünberg A, Gonzales-Menezes J, Klämpfl F, Lengenfelder B, Liebing E, Heichler C, Neufert C, Becker C, Neurath MF, Waldner MJ, Schmidt M. In vivo multi spectral colonoscopy in mice. Sci Rep 2022; 12:8753. [PMID: 35610504 PMCID: PMC9130268 DOI: 10.1038/s41598-022-12794-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Accepted: 05/04/2022] [Indexed: 11/09/2022] Open
Abstract
Multi- and hyperspectral endoscopy are possibilities to improve the endoscopic detection of neoplastic lesions in the colon and rectum during colonoscopy. However, most studies in this context are performed on histological samples/biopsies or ex vivo. This leads to the question if previous results can be transferred to an in vivo setting. Therefore, the current study evaluated the usefulness of multispectral endoscopy in identifying neoplastic lesions in the colon. The data set consists of 25 mice with colonic neoplastic lesions and the data analysis is performed by machine learning. Another question addressed was whether adding additional spatial features based on Gauss-Laguerre polynomials leads to an improved detection rate. As a result, detection of neoplastic lesions was achieved with an MCC of 0.47. Therefore, the classification accuracy of multispectral colonoscopy is comparable with hyperspectral colonoscopy in the same spectral range when additional spatial features are used. Moreover, this paper strongly supports the current path towards the application of multi/hyperspectral endoscopy in clinical settings and shows that the challenges from transferring results from ex vivo to in vivo endoscopy can be solved.
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Affiliation(s)
- Martin Hohmann
- Institute of Photonic Technologies (LPT), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Konrad-Zuse-Straße 3/5, 91052, Erlangen, Germany. .,Erlangen Graduate School in Advanced Optical Technologies (SAOT), Paul-Gordon-Straße 6, 91052, Erlangen, Germany.
| | - Ingo Ganzleben
- Erlangen Graduate School in Advanced Optical Technologies (SAOT), Paul-Gordon-Straße 6, 91052, Erlangen, Germany.,Department of Medicine 1, University Hospital, Friedrich-Alexander-Universität, Erlangen-Nürnberg (FAU), Ulmenweg 18, 91054, Erlangen, Germany
| | - Alexander Grünberg
- Institute of Photonic Technologies (LPT), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Konrad-Zuse-Straße 3/5, 91052, Erlangen, Germany
| | - Jean Gonzales-Menezes
- Department of Medicine 1, University Hospital, Friedrich-Alexander-Universität, Erlangen-Nürnberg (FAU), Ulmenweg 18, 91054, Erlangen, Germany
| | - Florian Klämpfl
- Institute of Photonic Technologies (LPT), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Konrad-Zuse-Straße 3/5, 91052, Erlangen, Germany.,Erlangen Graduate School in Advanced Optical Technologies (SAOT), Paul-Gordon-Straße 6, 91052, Erlangen, Germany
| | - Benjamin Lengenfelder
- Institute of Photonic Technologies (LPT), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Konrad-Zuse-Straße 3/5, 91052, Erlangen, Germany.,Erlangen Graduate School in Advanced Optical Technologies (SAOT), Paul-Gordon-Straße 6, 91052, Erlangen, Germany
| | - Eva Liebing
- Department of Medicine 1, University Hospital, Friedrich-Alexander-Universität, Erlangen-Nürnberg (FAU), Ulmenweg 18, 91054, Erlangen, Germany
| | - Christina Heichler
- Department of Medicine 1, University Hospital, Friedrich-Alexander-Universität, Erlangen-Nürnberg (FAU), Ulmenweg 18, 91054, Erlangen, Germany
| | - Clemens Neufert
- Department of Medicine 1, University Hospital, Friedrich-Alexander-Universität, Erlangen-Nürnberg (FAU), Ulmenweg 18, 91054, Erlangen, Germany
| | - Christoph Becker
- Department of Medicine 1, University Hospital, Friedrich-Alexander-Universität, Erlangen-Nürnberg (FAU), Ulmenweg 18, 91054, Erlangen, Germany
| | - Markus F Neurath
- Erlangen Graduate School in Advanced Optical Technologies (SAOT), Paul-Gordon-Straße 6, 91052, Erlangen, Germany.,Department of Medicine 1, University Hospital, Friedrich-Alexander-Universität, Erlangen-Nürnberg (FAU), Ulmenweg 18, 91054, Erlangen, Germany
| | - Maximilian J Waldner
- Erlangen Graduate School in Advanced Optical Technologies (SAOT), Paul-Gordon-Straße 6, 91052, Erlangen, Germany.,Department of Medicine 1, University Hospital, Friedrich-Alexander-Universität, Erlangen-Nürnberg (FAU), Ulmenweg 18, 91054, Erlangen, Germany
| | - Michael Schmidt
- Institute of Photonic Technologies (LPT), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Konrad-Zuse-Straße 3/5, 91052, Erlangen, Germany.,Erlangen Graduate School in Advanced Optical Technologies (SAOT), Paul-Gordon-Straße 6, 91052, Erlangen, Germany
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Ikematsu H, Murano T, Shinmura K. Detection of colorectal lesions during colonoscopy. DEN OPEN 2022; 2:e68. [PMID: 35310752 PMCID: PMC8828173 DOI: 10.1002/deo2.68] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Revised: 09/27/2021] [Accepted: 09/28/2021] [Indexed: 12/11/2022]
Abstract
Owing to its high mortality rate, the prevention of colorectal cancer is of particular importance. The resection of colorectal polyps is reported to drastically reduce colorectal cancer mortality, and examination by endoscopists who had a high adenoma detection rate was found to lower the risk of colorectal cancer, highlighting the importance of identifying lesions. Various devices, imaging techniques, and diagnostic tools aimed at reducing the rate of missed lesions have therefore been developed to improve detection. The distal attachments and devices for improving the endoscopic view angle are intended to help avoid missing blind spots such as folds and flexures in the colon, whereas the imaging techniques represented by image‐enhanced endoscopy contribute to improving lesion visibility. Recent advances in artificial intelligence‐supported detection systems are expected to supplement an endoscopist's eye through the instant diagnosis of the lesions displayed on the monitor. In this review, we provide an outline of each tool and assess its impact on the reduction in the incidence of missed colorectal polyps by summarizing previous clinical research and meta‐analyses. Although useful, the many devices, image‐enhanced endoscopy, and artificial intelligence tools exhibited various limitations. Integrating these tools can improve their shortcomings. Combining artificial intelligence‐based diagnoses with wide‐angle image‐enhanced endoscopy may be particularly useful. Thus, we hope that such tools will be available in the near future.
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Affiliation(s)
- Hiroaki Ikematsu
- Division of Science and Technology for Endoscopy Exploratory Oncology Research & Clinical Trial Center National Cancer Center Chiba Japan.,Department of Gastroenterology and Endoscopy National Cancer Center Hospital East Chiba Japan
| | - Tatsuro Murano
- Department of Gastroenterology and Endoscopy National Cancer Center Hospital East Chiba Japan
| | - Kensuke Shinmura
- Department of Gastroenterology and Endoscopy National Cancer Center Hospital East Chiba Japan
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Nisha J, P. Gopi V, Palanisamy P. Automated colorectal polyp detection based on image enhancement and dual-path CNN architecture. Biomed Signal Process Control 2022. [DOI: 10.1016/j.bspc.2021.103465] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
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Nisha JS, Gopi VP, Palanisamy P. AUTOMATED POLYP DETECTION IN COLONOSCOPY VIDEOS USING IMAGE ENHANCEMENT AND SALIENCY DETECTION ALGORITHM. BIOMEDICAL ENGINEERING: APPLICATIONS, BASIS AND COMMUNICATIONS 2022; 34. [DOI: 10.4015/s1016237222500016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/01/2025]
Abstract
Colonoscopy has proven to be an active diagnostic tool that examines the lower half of the digestive system’s anomalies. This paper confers a Computer-Aided Detection (CAD) method for polyps from colonoscopy images that helps to diagnose the early stage of Colorectal Cancer (CRC). The proposed method consists primarily of image enhancement, followed by the creation of a saliency map, feature extraction using the Histogram of Oriented-Gradients (HOG) feature extractor, and classification using the Support Vector Machine (SVM). We present an efficient image enhancement algorithm for highlighting clinically significant features in colonoscopy images. The proposed enhancement approach can improve the overall contrast and brightness by minimizing the effects of inconsistent illumination conditions. Detailed experiments have been conducted using the publicly available colonoscopy databases CVC ClinicDB, CVC ColonDB and the ETIS Larib. The performance measures are found to be in terms of precision (91.69%), recall (81.53%), F1-score (86.31%) and F2-score (89.45%) for the CVC ColonDB database and precision (90.29%), recall (61.73%), F1-score (73.32%) and F2-score (82.64%) for the ETIS Larib database. Comparison with the futuristic method shows that the proposed approach surpasses the existing one in terms of precision, F1-score, and F2-score. The proposed enhancement with saliency-based selection significantly reduced the number of search windows, resulting in an efficient polyp detection algorithm.
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Affiliation(s)
- J. S. Nisha
- Department of Electronics and Communication Engineering, National Institute of Technology Tiruchirappalli, 620015, Tamil Nadu, India
| | - V. P. Gopi
- Department of Electronics and Communication Engineering, National Institute of Technology Tiruchirappalli, 620015, Tamil Nadu, India
| | - P. Palanisamy
- Department of Electronics and Communication Engineering, National Institute of Technology Tiruchirappalli, 620015, Tamil Nadu, India
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Sulbaran M, Bustamante-Lopez L, Bernardo W, Sakai CM, Sakai P, Nahas S, Moura EGHD. Systematic review and meta-analysis of colon capsule endoscopy accuracy for colorectal cancer screening. An alternative during the Covid-19 pandemic? J Med Screen 2022; 29:148-155. [PMID: 35068246 PMCID: PMC9382578 DOI: 10.1177/09691413221074803] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Aim To determine the diagnostic accuracy of colon capsule endoscopy for colorectal cancer screening. Methods Studies that compared the diagnostic performance of colonoscopy and second-generation colon capsule endoscopy (CCE-2) for screening of asymptomatic patients aged 50–75 years were included. The primary outcomes were sensitivity, specificity, and positive and negative likelihood ratios for polyps and adenomas measuring at least 6 mm or 10 mm. Results Eight full-text studies that evaluated 1602 patients were included for systematic review. Of these, 840 (52.43%) patients participated in an opportunistic screening program. The pooled outcomes of CCE-2 for polyps at least 6 mm / 10 mm were (CI = confidence interval): sensitivity: 88% (95% CI: 0.84–0.91) / 88% (95% CI: 0.82–0.93), specificity: 94% (95% CI: 0.92–0.95) / 95.5% (95% CI: 0.94–0.97); positive likelihood ratio: 11.86 (95% CI: 5.53–25.46) / 23.07 (95% CI: 6.163–86.36); negative likelihood ratio: 0.14 (95% CI: 0.1–0.21) / 0.14 (95% CI: 0.09–0.21). The area under the summary receiver operating characteristic curve for polyps at least 6 and 10 mm was 96.3% and 96.7%, respectively. The only cancer missed by complete CCE-2 was shown at multiple frames in the unblinded review. In total, 125 (7.8%) patients presented mild adverse events mostly related to bowel preparation. Conclusion CCE-2 is demonstrated to be an effective and safe alternative method for colorectal cancer screening. Diagnostic performance of CCE-2 for polyps of at least 6 and 10 mm was similar. Completion rates still need to be improved.
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Affiliation(s)
- Marianny Sulbaran
- Gastrointestinal Department, Hospital das Clinicas, Sao Paulo University School of Medicine, Sao Paulo, Brazil
| | - Leonardo Bustamante-Lopez
- Gastrointestinal Department, Hospital das Clinicas, Sao Paulo University School of Medicine, Sao Paulo, Brazil
- Surgical Health Outcomes Consortium (SHOC), Digestive Health and Surgery Institute, AdventHealth, Orlando, USA
| | - Wanderley Bernardo
- Gastrointestinal Department, Hospital das Clinicas, Sao Paulo University School of Medicine, Sao Paulo, Brazil
| | - Christiano M. Sakai
- Gastrointestinal Department, Hospital das Clinicas, Sao Paulo University School of Medicine, Sao Paulo, Brazil
| | - Paulo Sakai
- Gastrointestinal Department, Hospital das Clinicas, Sao Paulo University School of Medicine, Sao Paulo, Brazil
| | - Sergio Nahas
- Gastrointestinal Department, Hospital das Clinicas, Sao Paulo University School of Medicine, Sao Paulo, Brazil
| | - Eduardo G H de Moura
- Gastrointestinal Department, Hospital das Clinicas, Sao Paulo University School of Medicine, Sao Paulo, Brazil
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Han JH, Kim HG, Ahn EM, Park S, Jeon SR, Cha JM, Kwak MS, Jung Y, Shin JE, Shin HD, Cho YS. Correlation between Surrogate Quality Indicators for Adenoma Detection Rate and Adenoma Miss Rate in Qualified Colonoscopy, CORE Study: KASID Multicenter Study. Gut Liver 2021; 16:716-725. [PMID: 34933279 PMCID: PMC9474487 DOI: 10.5009/gnl210287] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 09/16/2021] [Accepted: 10/01/2021] [Indexed: 12/03/2022] Open
Abstract
Background/Aims The adenoma detection rate (ADR) does not reflect the complete detection of every adenoma during colonoscopy; thus, many surrogate indicators have been suggested. This study investigated whether the ADR and surrogate quality indicators reflect the adenoma miss rate (AMR) when performing qualified colonoscopy. Methods We performed a prospective, multicenter, cross-sectional study of asymptomatic examinees aged 50 to 75 years who underwent back-to-back screening colonoscopies by eight endoscopists. The ADR and surrogate quality indicators, including polyp detection rate, total number of adenomas per colonoscopy, additional adenomas found after the first adenoma per colonoscopy (ADR-Plus), and total number of adenomas per positive participant, were calculated for the prediction of AMR. Results A total of 371 back-to-back colonoscopies were performed. There was a significant difference in ADRs (range, 44% to 75.4%; p=0.024), polyp detection rates (range, 56% to 86.9%; p=0.008) and adenomas per positive participants (range, 1.19 to 2.30; p=0.038), and a tendency of a difference in adenomas per colonoscopy (range, 0.62 to 1.31; p=0.051) and ADR-Plus (range, 0.13 to 0.70; p=0.054) among the endoscopists. The overall AMR was 20.1%, and AMRs were not different (range, 13.9 to 28.6; p>0.05) among the endoscopists. No quality indicators were significantly correlated with AMR. The number of adenomas found during the first colonoscopy was an independent factor for increased AMR (odds ratio, 1.79; p<0.001). Conclusions The colonoscopy quality indicators were significantly different among high-ADR endoscopists, and none of the quality indicators reflected the AMR of good quality colonoscopy performances. The only factor influencing AMR was the number of adenomas detected during colonoscopy.
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Affiliation(s)
- Jae Hee Han
- Department of Internal Medicine, Soonchunhyang University College of Medicine, Seoul, Korea
| | - Hyun Gun Kim
- Department of Internal Medicine, Soonchunhyang University College of Medicine, Seoul, Korea
| | - Eu Mi Ahn
- Department of Digestive Disease Center, Soonchunhyang University Hospital, Seoul, Korea
| | - Suyeon Park
- Department of Data Innovation, Soonchunhyang University College of Medicine, Seoul, Korea
| | - Seong Ran Jeon
- Department of Internal Medicine, Soonchunhyang University College of Medicine, Seoul, Korea
| | - Jae Myung Cha
- Department of Internal Medicine, Kyung Hee University School of Medicine, Seoul, Korea
| | - Min Seob Kwak
- Department of Internal Medicine, Kyung Hee University School of Medicine, Seoul, Korea
| | - Yunho Jung
- Department of Internal Medicine, Soonchunhyang University College of Medicine, Cheonan, Korea
| | - Jeong Eun Shin
- Department of Internal Medicine, Dankook University College of Medicine, Cheonan, Korea
| | - Hyun Deok Shin
- Department of Internal Medicine, Dankook University College of Medicine, Cheonan, Korea
| | - Young-Seok Cho
- Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea
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Luz BSR, Canteras JCCD, Gon KDC, Batista MLDD, Ahn TJ, Maluf-Filho F. THE IMPACT OF COLORECTAL CHROMENDOSCOPY WITH ENHANCED MUCOSAL IMAGING ON ADENOMA MISS RATE IN SCREENING COLONOSCOPY. ARQUIVOS DE GASTROENTEROLOGIA 2021; 58:450-455. [PMID: 34909849 DOI: 10.1590/s0004-2803.202100000-82] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Accepted: 06/15/2021] [Indexed: 01/10/2023]
Abstract
BACKGROUND Colonoscopy is the gold standard for the diagnosis and treatment of adenomas. It is related with decreased colorectal cancer incidence and mortality. However, an important problem is missed colorectal adenoma. All efforts should be undertaken to reduce this rate. Enhancing imaging technologies including electronic chromoendoscopy and magnification has been increasingly adopted for improving the colorectal neoplasia detection rate and the detailed study of its surface, as well. I-scan images (Pentax, Tokyo, Japan) provides virtual chromoendoscopy in real-time during the examination to view the surface pattern, highlighting the microvasculature of the neoplastic lesion. The evidence on the impact of the use of I-scan on the colorectal adenoma detection rate is scarce. OBJECTIVE To evaluate whether the use of I-scan has impact on the adenoma miss rate (AMR) of screening colonoscopy exams. METHODS Observational and prospective study conducted by monitoring patients over 50 years undergoing colonoscopy. There were two groups: Group 1 - first inspection with standard high-definition white-light (HDWL) followed by a second inspection with I-scan 1; Group 2 - first inspection with I-scan 1 followed by a second inspection with standard HDWL. The primary outcome was the AMR from the first exam, calculated with the number of adenomas detected in the second exam, divided by the total number of adenomas detected in both exams. RESULTS A total of 85 patients participated in the study. 14 were excluded, with a final sample of 71 patients, in the Group 1, 34 patients, and the Group 2, 37. A total of 58 adenomas were detected, 40 in the first inspection (20 in each group) and 18 in the second inspection in group 1. The overall AMR was higher for the Group 1 than the Group 2 (47.4% vs 0% P=0.0002). CONCLUSION The use of I-scan 1 during colonoscopy exam reduces the AMR.
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Affiliation(s)
| | | | - Karen de Carvalho Gon
- Hospital Beneficência Portuguesa de São Paulo, Departamento de Endoscopia, São Paulo, SP, Brasil
| | | | - Thomy Jun Ahn
- Hospital Beneficência Portuguesa de São Paulo, Departamento de Endoscopia, São Paulo, SP, Brasil
| | - Fauze Maluf-Filho
- Hospital Beneficência Portuguesa de São Paulo, Departamento de Endoscopia, São Paulo, SP, Brasil
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Minamide T, Sashiyama H, Muramatsu Y, Yada T, Matsumura T, Takeda S, Suzuki T, Kakimoto T, Yano T, Yoshii K, Arai M, Uemura N, Yamaguchi T, Ikematsu H. Second-generation narrow-band imaging to detect colorectal adenomas: A prospective study including community hospitals. J Gastroenterol Hepatol 2021; 36:3084-3091. [PMID: 34251049 DOI: 10.1111/jgh.15621] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 06/14/2021] [Accepted: 07/06/2021] [Indexed: 12/19/2022]
Abstract
BACKGROUND AND AIM It is unclear whether second-generation narrow-band imaging (NBI) improves colorectal adenoma detection in clinical practice. We aimed to evaluate the ability of NBI to detect adenomas in academic and community hospitals. METHODS This observational, multicenter study was conducted in four academic and four community hospitals between July 2018 and April 2019. We enrolled patients aged ≥ 20 years who underwent colonoscopy for screening, polyp surveillance, or diagnostic workup. The primary endpoint was the adenoma detection rate (ADR) between NBI (NBI group) and white-light imaging colonoscopies (WLI group) after propensity score (PS) matching. RESULTS Of 1831 patients analyzed before PS matching, the NBI and WLI groups included 742 and 1089 patients, respectively. After PS matching, 711 pairs from both groups were analyzed. ADR and the mean number of adenomas per patient did not differ significantly between the NBI and WLI groups (43.5% vs 44.4%, P = 0.71; 0.90 ± 1.38 vs 0.91 ± 1.40, P = 0.95, respectively). Academic hospitals showed higher ADR in the NBI group (60.5% vs 53.8%), whereas community hospitals showed higher ADR in the WLI group (35.8% vs 40.5%). In the NBI group, ADR was significantly higher among NBI-screening-experienced endoscopists than among NBI-screening-inexperienced endoscopists (63.2% vs 39.2%, P < 0.001). The mean number of flat and depressed lesions detected per patient was significantly higher with NBI than with WLI (0.62 ± 1.34 vs 0.44 ± 1.01, P = 0.035). CONCLUSIONS Second-generation NBI could not surpass WLI in terms of ADR based on patient recruitment from both academic and community hospitals but improved the detection of easily overlooked flat and depressed lesions.
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Affiliation(s)
- Tatsunori Minamide
- Department of Gastroenterology and Endoscopy, National Cancer Center Hospital East, Chiba, Japan
| | - Hiroshi Sashiyama
- Department of Coloproctological Surgery, Tsujinaka Hospital Kashiwanoha, Chiba, Japan
| | - Yusuke Muramatsu
- Department of Gastroenterology, Kobari General Hospital, Chiba, Japan
| | - Tomoyuki Yada
- Department of Gastroenterology and Hepatology, Kohnodai Hospital, National Center for Global Health and Medicine, Chiba, Japan
| | - Tomoaki Matsumura
- Department of Gastroenterology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Shinichiro Takeda
- Department of Gastroenterology, Matsudo City General Hospital, Chiba, Japan
| | - Takuto Suzuki
- Division of Endoscopy, Chiba Cancer Center, Chiba, Japan
| | | | - Tomonori Yano
- Department of Gastroenterology and Endoscopy, National Cancer Center Hospital East, Chiba, Japan
| | - Katsumi Yoshii
- Department of Gastroenterology, Kobari General Hospital, Chiba, Japan
| | - Makoto Arai
- Department of Gastroenterology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Naomi Uemura
- Department of Gastroenterology and Hepatology, Kohnodai Hospital, National Center for Global Health and Medicine, Chiba, Japan
| | | | - Hiroaki Ikematsu
- Department of Gastroenterology and Endoscopy, National Cancer Center Hospital East, Chiba, Japan
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Yoshida N, Inoue K, Tomita Y, Kobayashi R, Hashimoto H, Sugino S, Hirose R, Dohi O, Yasuda H, Morinaga Y, Inada Y, Murakami T, Zhu X, Itoh Y. An analysis about the function of a new artificial intelligence, CAD EYE with the lesion recognition and diagnosis for colorectal polyps in clinical practice. Int J Colorectal Dis 2021; 36:2237-2245. [PMID: 34406437 DOI: 10.1007/s00384-021-04006-5] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/02/2021] [Indexed: 02/04/2023]
Abstract
OBJECTIVES Recently, CAD EYE (Fujifilm, Tokyo, Japan), an artificial intelligence for the lesion recognition (CADe) and the optical diagnosis (CADx) of colorectal polyps, was released. We evaluated the function of CADe and CADx of CAD EYE. METHODS In this single-center retrospective study, we examined consecutive polyps ≤ 10 mm detected from March to April 2021 to determine whether CAD EYE could recognize them live with both normal- and high-speed observation using white-light imaging (WLI) and linked-color imaging (LCI). We then examined whether the polyps were neoplastic or hyperplastic live with magnified or non-magnified blue-laser imaging (BLI-LASER) or blue-light imaging (BLI-LED) under CAD EYE, comparing the retrospective evaluations with 5 experts and 5 trainees using still images. All polyps were histopathologically examined. RESULTS We analyzed 100 polyps (mean size 3.9 ± 2.6 mm; 55 neoplastic and 45 hyperplastic lesions) in 25 patients. Regarding CADe, the respective detection rates of CAD EYE with normal- and high-speed observation were 85.0% and 67.0% for WLI (p = 0.002) and 89.0% and 75.0% for LCI (p = 0.009). Regarding CADx for differentiating neoplastic and hyperplastic lesions, the diagnostic accuracy values of CAD EYE with non-magnified and magnified BLI-LASER/LED were 88.8% and 87.8%. Regarding magnified BLI-LASER/LED, the diagnostic accuracy value of CAD EYE was not significantly different from that of experts (92.0%, p = 0.17), but that of trainees (79.0%, p = 0.04). We also found no significant differences in CADe or CADx between LED (53 lesions) and LASER (47 lesions). CONCLUSIONS CAD EYE was a helpful tool for CADe and CADx in clinical practice.
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Affiliation(s)
- Naohisa Yoshida
- Department of Molecular Gastroenterology and Hepatology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto, 602-8566, Japan.
| | - Ken Inoue
- Department of Molecular Gastroenterology and Hepatology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto, 602-8566, Japan
| | - Yuri Tomita
- Department of Molecular Gastroenterology and Hepatology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto, 602-8566, Japan
| | - Reo Kobayashi
- Department of Molecular Gastroenterology and Hepatology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto, 602-8566, Japan
| | - Hikaru Hashimoto
- Department of Molecular Gastroenterology and Hepatology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto, 602-8566, Japan
| | - Satoshi Sugino
- Department of Molecular Gastroenterology and Hepatology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto, 602-8566, Japan
| | - Ryohei Hirose
- Department of Molecular Gastroenterology and Hepatology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto, 602-8566, Japan
| | - Osamu Dohi
- Department of Molecular Gastroenterology and Hepatology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto, 602-8566, Japan
| | - Hiroaki Yasuda
- Department of Molecular Gastroenterology and Hepatology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto, 602-8566, Japan
| | - Yukiko Morinaga
- Department of Surgical Pathology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Yutaka Inada
- Department of Gastroenterology, Kyoto First Red Cross Hospital, Kyoto, Japan
| | - Takaaki Murakami
- Department of Gastroenterology, Aiseikai Yamashina Hospital, Kyoto, Japan
| | - Xin Zhu
- Biomedical Information Engineering Lab, The University of Aizu, Fukushima, Japan
| | - Yoshito Itoh
- Department of Molecular Gastroenterology and Hepatology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto, 602-8566, Japan
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Yokota M, Muto J, Hashida K, Nagahisa Y, Okabe M, Kitagawa H, Kawamoto K. The necessity of intensive surveillance colonoscopy for patients with a remaining right colon after resection of colorectal cancer: a retrospective cohort study. Surg Today 2021; 52:502-509. [PMID: 34499260 DOI: 10.1007/s00595-021-02372-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 06/29/2021] [Indexed: 11/30/2022]
Abstract
PURPOSE To clarify how often postoperative surveillance colonoscopy should be undertaken based on the risk factors for the development of metachronous cancer (MC) and advanced adenoma (AA) after surgery for colorectal cancer. METHODS We collected data of consecutive patients who underwent curative resection for primary colorectal cancer between 2005 and 2012, with preoperative colonoscopy and surveillance colonoscopy at 1 year after surgery (406 patients, mean age: 69 years, 59% male). The detection rates of AA (with villous features, > 10 mm or high-grade dysplasia) and MC by surveillance colonoscopy were the primary outcomes. RESULTS At 5 years, colonoscopy was performed as postoperative surveillance an average of 3.2 times. AA and MC were detected in 57 (14.0%) and 18 patients (4.4%), respectively. Both lesions were more common in the right colon (n = 43) than in the left colon (n = 28). The detection rate did not differ to a statistically significant extent according to the number of colonoscopies performed for surveillance (p = 0.21). However, after left-sided colectomy, both types of lesions were more commonly detected in those who received ≥ 3 colonoscopies than in those with one or two colonoscopies (p = 0.04). CONCLUSION A remaining right colon after left-sided colectomy was associated with a higher risk of developing AA and MC. Physicians should consider performing surveillance colonoscopy more frequently if the right colon remains after surgery.
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Affiliation(s)
- Mitsuru Yokota
- Department of General Surgery, Kurashiki Central Hospital, 1-1-1 Miwa, Kurashiki, Okayama, 710-8602, Japan.
| | - Jun Muto
- Department of General Surgery, Kurashiki Central Hospital, 1-1-1 Miwa, Kurashiki, Okayama, 710-8602, Japan
| | - Kazuki Hashida
- Department of General Surgery, Kurashiki Central Hospital, 1-1-1 Miwa, Kurashiki, Okayama, 710-8602, Japan
| | - Yoshio Nagahisa
- Department of General Surgery, Kurashiki Central Hospital, 1-1-1 Miwa, Kurashiki, Okayama, 710-8602, Japan
| | - Michio Okabe
- Department of General Surgery, Kurashiki Central Hospital, 1-1-1 Miwa, Kurashiki, Okayama, 710-8602, Japan
| | - Hirohisa Kitagawa
- Department of General Surgery, Kurashiki Central Hospital, 1-1-1 Miwa, Kurashiki, Okayama, 710-8602, Japan
| | - Kazuyuki Kawamoto
- Department of General Surgery, Kurashiki Central Hospital, 1-1-1 Miwa, Kurashiki, Okayama, 710-8602, Japan
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Xu L, He X, Zhou J, Zhang J, Mao X, Ye G, Chen Q, Xu F, Sang J, Wang J, Ding Y, Li Y, Yu C. Artificial intelligence-assisted colonoscopy: A prospective, multicenter, randomized controlled trial of polyp detection. Cancer Med 2021; 10:7184-7193. [PMID: 34477306 PMCID: PMC8525182 DOI: 10.1002/cam4.4261] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Revised: 08/20/2021] [Accepted: 08/26/2021] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Artificial intelligence (AI) assistance has been considered as a promising way to improve colonoscopic polyp detection, but there are limited prospective studies on real-time use of AI systems. METHODS We conducted a prospective, multicenter, randomized controlled trial of patients undergoing colonoscopy at six centers. Eligible patients were randomly assigned to conventional colonoscopy (control group) or AI-assisted colonoscopy (AI group). AI assistance was our newly developed AI system for real-time colonoscopic polyp detection. Primary outcome is polyp detection rate (PDR). Secondary outcomes include polyps per positive patient (PPP), polyps per colonoscopy (PPC), and non-first polyps per colonoscopy (PPC-Plus). RESULTS A total of 2352 patients were included in the final analysis. Compared with the control, AI group did not show significant increment in PDR (38.8% vs. 36.2%, p = 0.183), but its PPC-Plus was significantly higher (0.5 vs. 0.4, p < 0.05). In addition, AI group detected more diminutive polyps (76.0% vs. 68.8%, p < 0.01) and flat polyps (5.9% vs. 3.3%, p < 0.05). The effects varied somewhat between centers. In further logistic regression analysis, AI assistance independently contributed to the increment of PDR, and the impact was more pronounced for male endoscopists, shorter insertion time but longer withdrawal time, and elderly patients with larger waist circumference. CONCLUSION The intervention of AI plays a limited role in overall polyp detection, but increases detection of easily missed polyps; ChiCTR.org.cn number, ChiCTR1800015607.
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Affiliation(s)
- Lei Xu
- Department of Gastroenterology, Ningbo Hospital of Zhejiang University, Ningbo, China
| | - Xinjue He
- Department of Gastroenterology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Jianbo Zhou
- Department of Gastroenterology, Yuyao People's Hospital of Zhejiang Province, Yuyao, China
| | - Jie Zhang
- Department of Gastroenterology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Xinli Mao
- Department of Gastroenterology, Taizhou Hospital of Zhejiang Province, Linhai, China
| | - Guoliang Ye
- Department of Gastroenterology, The Affiliated Hospital of Medical School of Ningbo University, Ningbo, China
| | - Qiang Chen
- Department of Gastroenterology, Sanmen People's Hospital, Taizhou, China
| | - Feng Xu
- Department of Gastroenterology, Ningbo Yinzhou People's Hospital, Ningbo, China
| | - Jianzhong Sang
- Department of Gastroenterology, Yuyao People's Hospital of Zhejiang Province, Yuyao, China
| | - Jun Wang
- Department of Gastroenterology, Taizhou Hospital of Zhejiang Province, Linhai, China
| | - Yong Ding
- Department of Gastroenterology, The Affiliated Hospital of Medical School of Ningbo University, Ningbo, China
| | - Youming Li
- Department of Gastroenterology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Chaohui Yu
- Department of Gastroenterology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
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Zhao SB, Yang W, Wang SL, Pan P, Wang RD, Chang X, Sun ZQ, Fu XH, Shang H, Wu JR, Chen LZ, Chang J, Song P, Miao YL, He SX, Miao L, Jiang HQ, Wang W, Yang X, Dong YH, Lin H, Chen Y, Gao J, Meng QQ, Jin ZD, Li ZS, Bai Y. Establishment and validation of a computer-assisted colonic polyp localization system based on deep learning. World J Gastroenterol 2021; 27:5232-5246. [PMID: 34497447 PMCID: PMC8384745 DOI: 10.3748/wjg.v27.i31.5232] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 04/10/2021] [Accepted: 07/20/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Artificial intelligence in colonoscopy is an emerging field, and its application may help colonoscopists improve inspection quality and reduce the rate of missed polyps and adenomas. Several deep learning-based computer-assisted detection (CADe) techniques were established from small single-center datasets, and unrepresentative learning materials might confine their application and generalization in wide practice. Although CADes have been reported to identify polyps in colonoscopic images and videos in real time, their diagnostic performance deserves to be further validated in clinical practice.
AIM To train and test a CADe based on multicenter high-quality images of polyps and preliminarily validate it in clinical colonoscopies.
METHODS With high-quality screening and labeling from 55 qualified colonoscopists, a dataset consisting of over 71000 images from 20 centers was used to train and test a deep learning-based CADe. In addition, the real-time diagnostic performance of CADe was tested frame by frame in 47 unaltered full-ranged videos that contained 86 histologically confirmed polyps. Finally, we conducted a self-controlled observational study to validate the diagnostic performance of CADe in real-world colonoscopy with the main outcome measure of polyps per colonoscopy in Changhai Hospital.
RESULTS The CADe was able to identify polyps in the test dataset with 95.0% sensitivity and 99.1% specificity. For colonoscopy videos, all 86 polyps were detected with 92.2% sensitivity and 93.6% specificity in frame-by-frame analysis. In the prospective validation, the sensitivity of CAD in identifying polyps was 98.4% (185/188). Folds, reflections of light and fecal fluid were the main causes of false positives in both the test dataset and clinical colonoscopies. Colonoscopists can detect more polyps (0.90 vs 0.82, P < 0.001) and adenomas (0.32 vs 0.30, P = 0.045) with the aid of CADe, particularly polyps < 5 mm and flat polyps (0.65 vs 0.57, P < 0.001; 0.74 vs 0.67, P = 0.001, respectively). However, high efficacy is not realized in colonoscopies with inadequate bowel preparation and withdrawal time (P = 0.32; P = 0.16, respectively).
CONCLUSION CADe is feasible in the clinical setting and might help endoscopists detect more polyps and adenomas, and further confirmation is warranted.
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Affiliation(s)
- Sheng-Bing Zhao
- Changhai Hospital, Second Military Medical University/Naval Medical University, Shanghai 200433, China
| | - Wei Yang
- Tencent AI Lab, National Open Innovation Platform for Next Generation Artificial Intelligence on Medical Imaging, Shenzhen 518063, Guangdong Province, China
| | - Shu-Ling Wang
- Department of Gastroenterology, Changhai Hospital, Second Military Medical University/Naval Medical University, Shanghai 200433, China
| | - Peng Pan
- Department of Gastroenterology, Changhai Hospital, Second Military Medical University/Naval Medical University, Shanghai 200433, China
| | - Run-Dong Wang
- Department of Gastroenterology, Changhai Hospital, Second Military Medical University/Naval Medical University, Shanghai 200433, China
| | - Xin Chang
- Department of Gastroenterology, Changhai Hospital, Second Military Medical University/Naval Medical University, Shanghai 200433, China
| | - Zhong-Qian Sun
- Tencent AI Lab, National Open Innovation Platform for Next Generation Artificial Intelligence on Medical Imaging, Shenzhen 518063, Guangdong Province, China
| | - Xing-Hui Fu
- Tencent AI Lab, National Open Innovation Platform for Next Generation Artificial Intelligence on Medical Imaging, Shenzhen 518063, Guangdong Province, China
| | - Hong Shang
- Tencent AI Lab, National Open Innovation Platform for Next Generation Artificial Intelligence on Medical Imaging, Shenzhen 518063, Guangdong Province, China
| | - Jian-Rong Wu
- Tencent Healthcare (Shenzhen) Co. LTD., Shenzhen 518063, Guangdong Province, China
| | - Li-Zhu Chen
- Tencent Healthcare (Shenzhen) Co. LTD., Shenzhen 518063, Guangdong Province, China
| | - Jia Chang
- Tencent Healthcare (Shenzhen) Co. LTD., Shenzhen 518063, Guangdong Province, China
| | - Pu Song
- Tencent Healthcare (Shenzhen) Co. LTD., Shenzhen 518063, Guangdong Province, China
| | - Ying-Lei Miao
- Department of Gastroenterology, The First Affiliated Hospital of Kunming Medical University, Kunming 650000, Yunnan Province, China
| | - Shui-Xiang He
- Department of Gastroenterology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, Shaanxi Province, China
| | - Lin Miao
- Institute of Digestive Endoscopy and Medical Center for Digestive Disease, The Second Affiliated Hospital of Nanjing Medical University, Nanjing 210011, Jiangsu Province, China
| | - Hui-Qing Jiang
- Department of Gastroenterology, The Second Hospital of Hebei Medical University, Hebei Key Laboratory of Gastroenterology, Hebei Institute of Gastroenterology, Shijiazhuang 050000, Hebei Province, China
| | - Wen Wang
- Department of Gastroenterology, 900th Hospital of Joint Logistics Support Force, Fuzhou 350025, Fujian Province, China
| | - Xia Yang
- Department of Gastroenterology, No. 905 Hospital of The Chinese People's Liberation Army, Shanghai 200050, China
| | - Yuan-Hang Dong
- Department of Gastroenterology, Changhai Hospital, Second Military Medical University/Naval Medical University, Shanghai 200433, China
| | - Han Lin
- Department of Gastroenterology, Changhai Hospital, Second Military Medical University/Naval Medical University, Shanghai 200433, China
| | - Yan Chen
- Department of Gastroenterology, Changhai Hospital, Second Military Medical University/Naval Medical University, Shanghai 200433, China
| | - Jie Gao
- Department of Gastroenterology, Changhai Hospital, Second Military Medical University/Naval Medical University, Shanghai 200433, China
| | - Qian-Qian Meng
- Department of Gastroenterology, Changhai Hospital, Second Military Medical University/Naval Medical University, Shanghai 200433, China
| | - Zhen-Dong Jin
- Department of Gastroenterology, Changhai Hospital, Second Military Medical University/Naval Medical University, Shanghai 200433, China
| | - Zhao-Shen Li
- Department of Gastroenterology, Changhai Hospital, Second Military Medical University/Naval Medical University, Shanghai 200433, China
| | - Yu Bai
- Department of Gastroenterology, Changhai Hospital, Second Military Medical University/Naval Medical University, Shanghai 200433, China
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Latest Generation High-Definition Colonoscopy Increases Adenoma Detection Rate by Trainee Endoscopists. Dig Dis Sci 2021; 66:2756-2762. [PMID: 32808142 DOI: 10.1007/s10620-020-06543-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2020] [Accepted: 08/06/2020] [Indexed: 12/24/2022]
Abstract
BACKGROUND Adenoma detection rate (ADR) is an important quality indicator of colonoscopy. High-definition (HD) colonoscopy has been reported to increase ADR compared to standard-definition (SD) colonoscopy. Although there are few reports comparing the latest generation and the previous generation of HD colonoscopy equipment, there are reports that the latest generation colonoscopy equipment improves ADR. However, there are no reports on the impact of the latest generation HD colonoscopy on the ADR of trainee endoscopists. AIMS The aim of this study was to investigate whether the latest generation HD colonoscopy increases the ADR of trainee endoscopists compared with the previous generation HD colonoscopy. METHOD We conducted a retrospective review of medical records of patients aged 40-79 years old, who underwent screening or surveillance colonoscopy performed by nine gastroenterology fellows at Dong-A University Hospital from March 2019 to February 2020. We calculated the overall ratios of the ADR: the ADRs of the group using the older generation HD colonoscopy equipment and the group using the latest HD colonoscopy equipment. Polyp detection rate (PDR), sessile serrated polyp detection rate (SSPDR), and advanced neoplasia detection rate (ANDR) were calculated for each group. Factors related to adenoma detection were identified using logistic regression analysis. RESULTS Altogether, 2189 patients were included in the study (the older HD colonoscopy group comprising 1183 and the latest HD colonoscopy group comprising 1006). We found that PDR (45.98 vs. 51.69%, p = 0.008) and ADR (35.67 vs. 40.85%, p = 0.013) were significantly higher in the latest generation HD colonoscopy group. The generational differences were not statistically significant for SSPDR (1.94 vs. 2.78%, p = 0.195) or ANDR (4.65 vs. 4.97%, p = 0.726). In the multivariate regression analysis, age, male sex, the latest generation HD colonoscopy, and long withdrawal time were the most significant factors affecting adenoma detection. CONCLUSIONS The latest generation HD colonoscopy improved PDR and ADR by trainee endoscopists. These findings suggest that latest generation, higher-resolution colonoscopy equipment can improve the quality of colonoscopy for less experienced endoscopists.
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Hasegawa I, Yamamura T, Suzuki H, Maeda K, Sawada T, Mizutani Y, Ishikawa E, Ishikawa T, Kakushima N, Furukawa K, Ohno E, Kawashima H, Nakamura M, Fujishiro M. Detection of Colorectal Neoplasms Using Linked Color Imaging: A Prospective, Randomized, Tandem Colonoscopy Trial. Clin Gastroenterol Hepatol 2021; 19:1708-1716.e4. [PMID: 33839277 DOI: 10.1016/j.cgh.2021.04.004] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2020] [Revised: 04/02/2021] [Accepted: 04/03/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND AND AIMS A higher adenoma detection rate (ADR) has been shown to be related to a lower incidence and mortality of colorectal cancer. We analyzed the efficacy of linked color imaging (LCI) by assessing the detection, miss, and visibility of various featured adenomas as compared with white light imaging (WLI). METHODS This was a prospective, randomized, tandem trial. The participants were randomly assigned to 2 groups: first observation by LCI, then second observation by WLI (LCI group); or both observations by WLI (WLI group). Suspected neoplastic lesions were resected after magnifying image-enhanced endoscopy. The primary outcome was to compare the ADR during the first observation. Secondary outcomes included evaluation of adenoma miss rate (AMR) and visibility score. RESULTS A total of 780 patients were randomized, 700 of whom were included in the final analysis. The ADR was 69.6% and 63.2% in the LCI and WLI groups, respectively, with no significant difference. However, LCI improved the average ADR in low-detectors compared with high-detectors (76.0% vs 55.1%; P < .001). Total AMR was 20.6% in the LCI group, which was significantly lower than that in the WLI group (31.1%) (P < .001). AMR in the LCI group was significantly lower, especially for diminutive adenomas (23.4% vs 35.1%; P < .001) and nonpolypoid lesions (25.6% vs 37.9%; P < .001) compared with the WLI group. CONCLUSION Although both methods provided a similar ADR, LCI had a lower AMR than WLI. LCI could benefit endoscopists with lower ADR, an observation that warrants additional study. (UMIN Clinical Trials Registry, Number: UMIN000026359).
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Affiliation(s)
- Issei Hasegawa
- Department of Gastroenterology and Hepatology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Takeshi Yamamura
- Department of Gastroenterology and Hepatology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
| | - Hiroto Suzuki
- Department of Gastroenterology and Hepatology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Keiko Maeda
- Department of Endoscopy, Nagoya University Hospital, Nagoya, Japan
| | - Tsunaki Sawada
- Department of Endoscopy, Nagoya University Hospital, Nagoya, Japan
| | - Yasuyuki Mizutani
- Department of Gastroenterology and Hepatology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Eri Ishikawa
- Department of Gastroenterology and Hepatology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Takuya Ishikawa
- Department of Gastroenterology and Hepatology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Naomi Kakushima
- Department of Gastroenterology and Hepatology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Kazuhiro Furukawa
- Department of Gastroenterology and Hepatology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Eizaburo Ohno
- Department of Gastroenterology and Hepatology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Hiroki Kawashima
- Department of Endoscopy, Nagoya University Hospital, Nagoya, Japan
| | - Masanao Nakamura
- Department of Gastroenterology and Hepatology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Mitsuhiro Fujishiro
- Department of Gastroenterology and Hepatology, Nagoya University Graduate School of Medicine, Nagoya, Japan
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Lee JY, Lee JH. [Post-colonoscopy Colorectal Cancer: Causes and Prevention of Interval Colorectal Cancer]. THE KOREAN JOURNAL OF GASTROENTEROLOGY 2021; 75:314-321. [PMID: 32581202 DOI: 10.4166/kjg.2020.75.6.314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/16/2020] [Revised: 06/08/2020] [Accepted: 06/18/2020] [Indexed: 12/24/2022]
Abstract
Colorectal cancer (CRC) is the third most commonly diagnosed cancer and the fourth leading cause of cancer death in the worldwide. Colonoscopy is the gold standard for screening and surveillance of CRC. Removing adenomas by colonoscopy has lowered the incidence and mortality of CRC. However, colonoscopy is imperfect for detection of colorectal neoplasia. After a colonoscopy that is negative for malignancy, CRC can be diagnosed. These are termed as post-colonoscopy CRC (PCCRC). The proportion of PCCRC, among all CRC was reported to be 1.8% to 9.0%. It occurred 2.4 times more in the right colon than in the left colon. The causes of PCCRC are missed lesions, incomplete resection, and new lesions. Among these causes, missed lesion and incomplete resection are procedural factors and preventable. Therefore, it is necessary to improve the quality of colonoscopy to minimize the occurrence of PCCRC.
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Affiliation(s)
- Jong Yoon Lee
- Department of Gastroenterology, Dong-A University Hospital, Busan, Korea
| | - Jong Hoon Lee
- Department of Gastroenterology, Dong-A University Hospital, Busan, Korea
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Jha D, Smedsrud PH, Johansen D, de Lange T, Johansen HD, Halvorsen P, Riegler MA. A Comprehensive Study on Colorectal Polyp Segmentation With ResUNet++, Conditional Random Field and Test-Time Augmentation. IEEE J Biomed Health Inform 2021; 25:2029-2040. [PMID: 33400658 DOI: 10.1109/jbhi.2021.3049304] [Citation(s) in RCA: 79] [Impact Index Per Article: 19.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Colonoscopy is considered the gold standard for detection of colorectal cancer and its precursors. Existing examination methods are, however, hampered by high overall miss-rate, and many abnormalities are left undetected. Computer-Aided Diagnosis systems based on advanced machine learning algorithms are touted as a game-changer that can identify regions in the colon overlooked by the physicians during endoscopic examinations, and help detect and characterize lesions. In previous work, we have proposed the ResUNet++ architecture and demonstrated that it produces more efficient results compared with its counterparts U-Net and ResUNet. In this paper, we demonstrate that further improvements to the overall prediction performance of the ResUNet++ architecture can be achieved by using Conditional Random Field (CRF) and Test-Time Augmentation (TTA). We have performed extensive evaluations and validated the improvements using six publicly available datasets: Kvasir-SEG, CVC-ClinicDB, CVC-ColonDB, ETIS-Larib Polyp DB, ASU-Mayo Clinic Colonoscopy Video Database, and CVC-VideoClinicDB. Moreover, we compare our proposed architecture and resulting model with other state-of-the-art methods. To explore the generalization capability of ResUNet++ on different publicly available polyp datasets, so that it could be used in a real-world setting, we performed an extensive cross-dataset evaluation. The experimental results show that applying CRF and TTA improves the performance on various polyp segmentation datasets both on the same dataset and cross-dataset. To check the model's performance on difficult to detect polyps, we selected, with the help of an expert gastroenterologist, 196 sessile or flat polyps that are less than ten millimeters in size. This additional data has been made available as a subset of Kvasir-SEG. Our approaches showed good results for flat or sessile and smaller polyps, which are known to be one of the major reasons for high polyp miss-rates. This is one of the significant strengths of our work and indicates that our methods should be investigated further for use in clinical practice.
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Jiang J, Xie Q, Cheng Z, Cai J, Xia T, Yang H, Yang B, Peng H, Bai X, Yan M, Li X, Zhou J, Huang X, Wang L, Long H, Wang P, Chu Y, Zeng FW, Zhang X, Wang G, Zeng F. AI based colorectal disease detection using real-time screening colonoscopy. PRECISION CLINICAL MEDICINE 2021; 4:109-118. [PMID: 35694157 PMCID: PMC8982552 DOI: 10.1093/pcmedi/pbab013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Revised: 04/23/2021] [Accepted: 05/17/2021] [Indexed: 12/24/2022] Open
Abstract
Abstract
Colonoscopy is an effective tool for early screening of colorectal diseases. However, the application of colonoscopy in distinguishing different intestinal diseases still faces great challenges of efficiency and accuracy. Here we constructed and evaluated a deep convolution neural network (CNN) model based on 117 055 images from 16 004 individuals, which achieved a high accuracy of 0.933 in the validation dataset in identifying patients with polyp, colitis, colorectal cancer (CRC) from normal. The proposed approach was further validated on multi-center real-time colonoscopy videos and images, which achieved accurate diagnostic performance on detecting colorectal diseases with high accuracy and precision to generalize across external validation datasets. The diagnostic performance of the model was further compared to the skilled endoscopists and the novices. In addition, our model has potential in diagnosis of adenomatous polyp and hyperplastic polyp with an area under the receiver operating characteristic curve of 0.975. Our proposed CNN models have potential in assisting clinicians in making clinical decisions with efficiency during application.
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Affiliation(s)
- Jiawei Jiang
- Department of Clinical Research Center, Dazhou Central Hospital, Dazhou 635000, China
- Department of Computer Science, Eidgenossische Technische Hochschule Zurich, Zurich 999034, Switzerland
| | - Qianrong Xie
- Department of Clinical Research Center, Dazhou Central Hospital, Dazhou 635000, China
| | - Zhuo Cheng
- Digestive endoscopy center, Dazhou Central Hospital, Dazhou 635000, China
| | - Jianqiang Cai
- Department of Hepatobiliary Surgery, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Tian Xia
- National Center of Biomedical Analysis, Beijing 100850, China
| | - Hang Yang
- Department of Clinical Research Center, Dazhou Central Hospital, Dazhou 635000, China
| | - Bo Yang
- Digestive endoscopy center, Dazhou Central Hospital, Dazhou 635000, China
| | - Hui Peng
- College of Informatics, Huazhong Agricultural University, Wuhan 430070, China
| | - Xuesong Bai
- Digestive endoscopy center, Dazhou Central Hospital, Dazhou 635000, China
| | - Mingque Yan
- Digestive endoscopy center, Dazhou Central Hospital, Dazhou 635000, China
| | - Xue Li
- Department of Clinical Research Center, Dazhou Central Hospital, Dazhou 635000, China
| | - Jun Zhou
- Department of Clinical Research Center, Dazhou Central Hospital, Dazhou 635000, China
| | - Xuan Huang
- Department of Ophthalmology, Medical Research Center, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
| | - Liang Wang
- Information Department, Dazhou Central Hospital, Dazhou 635000, China
| | - Haiyan Long
- Digestive endoscopy center, Quxian People's Hospital, Dazhou 635000, China
| | - Pingxi Wang
- Department of Clinical Research Center, Dazhou Central Hospital, Dazhou 635000, China
| | - Yanpeng Chu
- Department of Clinical Research Center, Dazhou Central Hospital, Dazhou 635000, China
| | - Fan-Wei Zeng
- Department of Clinical Research Center, Dazhou Central Hospital, Dazhou 635000, China
| | - Xiuqin Zhang
- Institute of Molecular Medicine, Peking University, Beijing 100871, China
| | - Guangyu Wang
- State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China
| | - Fanxin Zeng
- Department of Clinical Research Center, Dazhou Central Hospital, Dazhou 635000, China
- Department of Medicine, Sichuan University of Arts and Science, Dazhou 635000, China
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