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Gadour E, Miutescu B, Hassan Z, Aljahdli ES, Raees K. Advancements in the diagnosis of biliopancreatic diseases: A comparative review and study on future insights. World J Gastrointest Endosc 2025; 17:103391. [DOI: 10.4253/wjge.v17.i4.103391] [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: 11/26/2024] [Revised: 02/19/2025] [Accepted: 03/08/2025] [Indexed: 04/14/2025] Open
Abstract
Owing to the complex and often asymptomatic presentations, the diagnosis of biliopancreatic diseases, including pancreatic and biliary malignancies, remains challenging. Recent technological advancements have remarkably improved the diagnostic accuracy and patient outcomes in these diseases. This review explores key advancements in diagnostic modalities, including biomarkers, imaging techniques, and artificial intelligence (AI)-based technologies. Biomarkers, such as cancer antigen 19-9, KRAS mutations, and inflammatory markers, provide crucial insights into disease progression and treatment responses. Advanced imaging modalities include enhanced computed tomography (CT), positron emission tomography-CT, magnetic resonance cholangiopancreatography, and endoscopic ultrasound. AI integration in imaging and pathology has enhanced diagnostic precision through deep learning algorithms that analyze medical images, automate routine diagnostic tasks, and provide predictive analytics for personalized treatment strategies. The applications of these technologies are diverse, ranging from early cancer detection to therapeutic guidance and real-time imaging. Biomarker-based liquid biopsies and AI-assisted imaging tools are essential for non-invasive diagnostics and individualized patient management. Furthermore, AI-driven models are transforming disease stratification, thus enhancing risk assessment and decision-making. Future studies should explore standardizing biomarker validation, improving AI-driven diagnostics, and expanding the accessibility of advanced imaging technologies in resource-limited settings. The continued development of non-invasive diagnostic techniques and precision medicine approaches is crucial for optimizing the detection and management of biliopancreatic diseases. Collaborative efforts between clinicians, researchers, and industry stakeholders will be pivotal in applying these advancements in clinical practice.
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Affiliation(s)
- Eyad Gadour
- Multiorgan Transplant Centre of Excellence, Liver Transplantation Unit, King Fahad Specialist Hospital, Dammam 32253, Saudi Arabia
- Internal Medicine, Zamzam University College, School of Medicine, Khartoum 11113, Sudan
| | - Bogdan Miutescu
- Department of Gastroenterology and Hepatology, Victor Babes University of Medicine and Pharmacy, Timisoara 300041, Romania
- Advanced Regional Research Center in Gastroenterology and Hepatology, Victor Babes University of Medicine and Pharmacy, Timisoara 30041, Romania
| | - Zeinab Hassan
- Department of Internal Medicine, Stockport Hospitals NHS Foundation Trust, Manchester SK2 7JE, United Kingdom
| | - Emad S Aljahdli
- Gastroenterology Division, King Abdulaziz University, Faculty of Medicine, Jeddah 21589, Saudi Arabia
- Gastrointestinal Oncology Unit, King Abdulaziz University Hospital, Jeddah 22252, Saudi Arabia
| | - Khurram Raees
- Department of Gastroenterology and Hepatology, Royal Blackburn Hospital, Blackburn BB2 3HH, United Kingdom
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Ye Z, Luo S, Wang L. Deep Learning Based Cystoscopy Image Enhancement. J Endourol 2024; 38:962-968. [PMID: 38753720 DOI: 10.1089/end.2023.0751] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/18/2024] Open
Abstract
Background: Endoscopy image enhancement technology provides doctors with clearer and more detailed images for observation and diagnosis, allowing doctors to assess lesions more accurately. Unlike most other endoscopy images, cystoscopy images face more complex and diverse image degradation because of their underwater imaging characteristics. Among the various causes of image degradation, the blood haze resulting from bladder mucosal bleeding make the background blurry and unclear, severely affecting diagnostic efficiency, even leading to misjudgment. Materials and Methods: We propose a deep learning-based approach to mitigate the impact of blood haze on cystoscopy images. The approach consists of two parts as follows: a blood haze removal network and a contrast enhancement algorithm. First, we adopt Feature Fusion Attention Network (FFA-Net) and transfer learning in the field of deep learning to remove blood haze from cystoscopy images and introduce perceptual loss to constrain the network for better visual results. Second, we enhance the image contrast by remapping the gray scale of the blood haze-free image and performing weighted fusion of the processed image and the original image. Results: In the blood haze removal stage, the algorithm proposed in this article achieves an average peak signal-to-noise ratio of 29.44 decibels, which is 15% higher than state-of-the-art traditional methods. The average structural similarity and perceptual image patch similarity reach 0.9269 and 0.1146, respectively, both superior to state-of-the-art traditional methods. Besides, our method is the best in keeping color balance after removing the blood haze. In the image enhancement stage, our algorithm enhances the contrast of vessels and tissues while preserving the original colors, expanding the dynamic range of the image. Conclusion: The deep learning-based cystoscopy image enhancement method is significantly better than other traditional methods in both qualitative and quantitative evaluation. The application of artificial intelligence will provide clearer, higher contrast cystoscopy images for medical diagnosis.
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Affiliation(s)
- Zixing Ye
- Department of Urology, Peking Union Medical College Hospital, Beijing, China
| | - Shun Luo
- School of Software, Northwestern Polytechnical University, Xi' an, China
| | - Lianpo Wang
- School of Software, Northwestern Polytechnical University, Xi' an, China
- Research & Development Institute of Northwestern, Polytechnical University in Shenzhen, Shenzhen, China
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Khalaf K, Fujiyoshi MRA, Spadaccini M, Rizkala T, Ramai D, Colombo M, Fugazza A, Facciorusso A, Carrara S, Hassan C, Repici A. From Staining Techniques to Artificial Intelligence: A Review of Colorectal Polyps Characterization. MEDICINA (KAUNAS, LITHUANIA) 2024; 60:89. [PMID: 38256350 PMCID: PMC10818333 DOI: 10.3390/medicina60010089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 12/24/2023] [Accepted: 12/26/2023] [Indexed: 01/24/2024]
Abstract
This review article provides a comprehensive overview of the evolving techniques in image-enhanced endoscopy (IEE) for the characterization of colorectal polyps, and the potential of artificial intelligence (AI) in revolutionizing the diagnostic accuracy of endoscopy. We discuss the historical use of dye-spray and virtual chromoendoscopy for the characterization of colorectal polyps, which are now being replaced with more advanced technologies. Specifically, we focus on the application of AI to create a "virtual biopsy" for the detection and characterization of colorectal polyps, with potential for replacing histopathological diagnosis. The incorporation of AI has the potential to provide an evolutionary learning system that aids in the diagnosis and management of patients with the best possible outcomes. A detailed analysis of the literature supporting AI-assisted diagnostic techniques for the detection and characterization of colorectal polyps, with a particular emphasis on AI's characterization mechanism, is provided. The benefits of AI over traditional IEE techniques, including the reduction in human error in diagnosis, and its potential to provide an accurate diagnosis with similar accuracy to the gold standard are presented. However, the need for large-scale testing of AI in clinical practice and the importance of integrating patient data into the diagnostic process are acknowledged. In conclusion, the constant evolution of IEE technology and the potential for AI to revolutionize the field of endoscopy in the future are presented.
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Affiliation(s)
- Kareem Khalaf
- Division of Gastroenterology, St. Michael’s Hospital, University of Toronto, Toronto, ON M5B 1T8, Canada; (K.K.); (M.R.A.F.)
| | - Mary Raina Angeli Fujiyoshi
- Division of Gastroenterology, St. Michael’s Hospital, University of Toronto, Toronto, ON M5B 1T8, Canada; (K.K.); (M.R.A.F.)
- Digestive Diseases Center, Showa University Koto Toyosu Hospital, Tokyo 135-8577, Japan
| | - Marco Spadaccini
- Department of Endoscopy, Humanitas Research Hospital, IRCCS, 20089 Rozzano, Italy; (T.R.); (M.C.); (A.F.); (S.C.); (C.H.); (A.R.)
- Department of Biomedical Sciences, Humanitas University, 20089 Rozzano, Italy
| | - Tommy Rizkala
- Department of Endoscopy, Humanitas Research Hospital, IRCCS, 20089 Rozzano, Italy; (T.R.); (M.C.); (A.F.); (S.C.); (C.H.); (A.R.)
- Department of Biomedical Sciences, Humanitas University, 20089 Rozzano, Italy
| | - Daryl Ramai
- Gastroenterology and Hepatology, University of Utah Health, Salt Lake City, UT 84132, USA;
| | - Matteo Colombo
- Department of Endoscopy, Humanitas Research Hospital, IRCCS, 20089 Rozzano, Italy; (T.R.); (M.C.); (A.F.); (S.C.); (C.H.); (A.R.)
| | - Alessandro Fugazza
- Department of Endoscopy, Humanitas Research Hospital, IRCCS, 20089 Rozzano, Italy; (T.R.); (M.C.); (A.F.); (S.C.); (C.H.); (A.R.)
| | - Antonio Facciorusso
- Department of Endoscopy, Section of Gastroenterology, Department of Medical and Surgical Sciences, University of Foggia, 71122 Foggia, Italy;
| | - Silvia Carrara
- Department of Endoscopy, Humanitas Research Hospital, IRCCS, 20089 Rozzano, Italy; (T.R.); (M.C.); (A.F.); (S.C.); (C.H.); (A.R.)
| | - Cesare Hassan
- Department of Endoscopy, Humanitas Research Hospital, IRCCS, 20089 Rozzano, Italy; (T.R.); (M.C.); (A.F.); (S.C.); (C.H.); (A.R.)
- Department of Biomedical Sciences, Humanitas University, 20089 Rozzano, Italy
| | - Alessandro Repici
- Department of Endoscopy, Humanitas Research Hospital, IRCCS, 20089 Rozzano, Italy; (T.R.); (M.C.); (A.F.); (S.C.); (C.H.); (A.R.)
- Department of Biomedical Sciences, Humanitas University, 20089 Rozzano, Italy
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Moghaddasi M, Hu B, Abrinaei F. Highly robust performance of a compact, wide-angle, nano-optic capsule endoscopy camera. JOURNAL OF THE OPTICAL SOCIETY OF AMERICA. A, OPTICS, IMAGE SCIENCE, AND VISION 2023; 40:2298-2306. [PMID: 38086037 DOI: 10.1364/josaa.500767] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 11/03/2023] [Indexed: 12/17/2024]
Abstract
The performance of capsule endoscopy, which plays an important role in noninvasive medical diagnostics, has been limited by aberrations and large optical sizes caused by several traditional lenses. We propose a capsule endoscopy camera based on a metalens that distinguishes it from existing technologies in three aspects. First, the camera achieved a high FOV of 160°, enabling a comprehensive examination of internal organs. Second, we achieved a compact design with an optical diameter of 1.6 mm and a length of 1.4 mm to enhance patient comfort. The attainment of exceptional image quality with an MTF of more than 45% at 300 lp/mm is the third advantage of this camera. The theoretical performance of this innovative approach shows great potential to improve diagnostic capabilities.
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Gounella R, Granado TC, Hideo Ando Junior O, Luporini DL, Gazziro M, Carmo JP. Endoscope Capsules: The Present Situation and Future Outlooks. Bioengineering (Basel) 2023; 10:1347. [PMID: 38135938 PMCID: PMC10741108 DOI: 10.3390/bioengineering10121347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 11/04/2023] [Accepted: 11/20/2023] [Indexed: 12/24/2023] Open
Abstract
This paper presents new perspectives on photonic technologies for capsule endoscopy. It first presents a review of conventional endoscopy (upper endoscopy and colonoscopy), followed by capsule endoscopy (CE), as well as their techniques, advantages, and drawbacks. The technologies for CEs presented in this paper include integration with the existing endoscopic systems that are commercially available. Such technologies include narrow-band imaging (NBI), photodynamic therapy (PDT), confocal laser endomicroscopy (CLE), optical coherence tomography (OCT), and spectroscopy in order to improve the performance of the gastrointestinal (GI) tract examination. In the context of NBI, two optical filters were designed and fabricated for integration into endoscopic capsules, allowing for the visualization of light centered at the 415 nm and 540 nm wavelengths. These optical filters are based on the principle of Fabry-Perot and were made of thin films of titanium dioxide (TiO2) and silicon dioxide (SiO2). Moreover, strategies and solutions for the adaptation of ECs for PDT are also discussed.
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Affiliation(s)
- Rodrigo Gounella
- Group of Metamaterials Microwaves and Optics (GMeta), Department of Electrical Engineering (SEL), University of São Paulo (USP), Avenida Trabalhador São-Carlense, Nr. 400, Parque Industrial Arnold Schimidt, São Carlos 13566-590, Brazil; (T.C.G.); (J.P.C.)
| | - Talita Conte Granado
- Group of Metamaterials Microwaves and Optics (GMeta), Department of Electrical Engineering (SEL), University of São Paulo (USP), Avenida Trabalhador São-Carlense, Nr. 400, Parque Industrial Arnold Schimidt, São Carlos 13566-590, Brazil; (T.C.G.); (J.P.C.)
| | - Oswaldo Hideo Ando Junior
- Academic Unit of Cabo de Santo Agostinho (UACSA), Federal Rural University of Pernambuco (UFRPE), Cabo de Santo Agostinho 54518-430, Brazil;
| | - Daniel Luís Luporini
- Clinica Endoscopia São Carlos, Rua Paulino Botelho de Abreu Sampaio, 958, Centro, São Carlos 13561-060, Brazil;
| | - Mario Gazziro
- Information Engineering Group, Department of Engineering and Social Sciences (CECS), Federal University of ABC (UFABC), Av. dos Estados, 5001, Santo André 09210-580, Brazil;
| | - João Paulo Carmo
- Group of Metamaterials Microwaves and Optics (GMeta), Department of Electrical Engineering (SEL), University of São Paulo (USP), Avenida Trabalhador São-Carlense, Nr. 400, Parque Industrial Arnold Schimidt, São Carlos 13566-590, Brazil; (T.C.G.); (J.P.C.)
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Nakai K, Lin H, Yamano S, Tanaka S, Kitamoto S, Saitoh H, Sakuma K, Kurauchi J, Akter E, Konno M, Ishibashi K, Kamata R, Ohashi A, Koseki J, Takahashi H, Yokoyama H, Shiraki Y, Enomoto A, Abe S, Hayakawa Y, Ushiku T, Mutoh M, Fujita Y, Kon S. Wnt activation disturbs cell competition and causes diffuse invasion of transformed cells through NF-κB-MMP21 pathway. Nat Commun 2023; 14:7048. [PMID: 37923722 PMCID: PMC10624923 DOI: 10.1038/s41467-023-42774-6] [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: 12/14/2022] [Accepted: 10/20/2023] [Indexed: 11/06/2023] Open
Abstract
Normal epithelial cells exert their competitive advantage over RasV12-transformed cells and eliminate them into the apical lumen via cell competition. However, the internal or external factors that compromise cell competition and provoke carcinogenesis remain elusive. In this study, we examine the effect of sequential accumulation of gene mutations, mimicking multi-sequential carcinogenesis on RasV12-induced cell competition in intestinal epithelial tissues. Consequently, we find that the directionality of RasV12-cell extrusion in Wnt-activated epithelia is reversed, and transformed cells are delaminated into the basal lamina via non-cell autonomous MMP21 upregulation. Subsequently, diffusively infiltrating, transformed cells develop into highly invasive carcinomas. The elevated production of MMP21 is elicited partly through NF-κB signaling, blockage of which restores apical elimination of RasV12 cells. We further demonstrate that the NF-κB-MMP21 axis is significantly bolstered in early colorectal carcinoma in humans. Collectively, this study shows that cells with high mutational burdens exploit cell competition for their benefit by behaving as unfit cells, endowing them with an invasion advantage.
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Affiliation(s)
- Kazuki Nakai
- Division of Cancer Biology, Research Institute for Biomedical Sciences, Tokyo University of Science, Noda, Chiba, 278-0022, Japan
| | - Hancheng Lin
- Division of Cancer Biology, Research Institute for Biomedical Sciences, Tokyo University of Science, Noda, Chiba, 278-0022, Japan
| | - Shotaro Yamano
- Japan Bioassay Research Center, Japan Organization of Occupational Health and Safety, Kanagawa, 257-0015, Japan
| | - Shinya Tanaka
- Department of Molecular Oncology, Graduate School of Medicine, Kyoto University, Kyoto, 606-8501, Japan
| | - Sho Kitamoto
- Division of Microbiology and Immunology, The WPI Immunology Frontier Research Center (IFReC), Osaka University, Osaka, 565-0871, Japan
| | - Hitoshi Saitoh
- Division of Translational Genomics, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Chiba, 277-8577, Japan
| | - Kenta Sakuma
- Division of Cancer Biology, Research Institute for Biomedical Sciences, Tokyo University of Science, Noda, Chiba, 278-0022, Japan
| | - Junpei Kurauchi
- Division of Cancer Biology, Research Institute for Biomedical Sciences, Tokyo University of Science, Noda, Chiba, 278-0022, Japan
| | - Eilma Akter
- Division of Cancer Biology, Research Institute for Biomedical Sciences, Tokyo University of Science, Noda, Chiba, 278-0022, Japan
| | - Masamitsu Konno
- Division of Cancer Biology, Research Institute for Biomedical Sciences, Tokyo University of Science, Noda, Chiba, 278-0022, Japan
| | - Kojiro Ishibashi
- Division of Tumor Cell Biology and Bioimaging, Cancer Research Institute, Kanazawa University, Kakuma-Machi, Kanazawa, 920-1192, Japan
| | - Ryo Kamata
- Division of Translational Genomics, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Chiba, 277-8577, Japan
| | - Akihiro Ohashi
- Division of Translational Genomics, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Chiba, 277-8577, Japan
| | - Jun Koseki
- Division of Systems Biology, Nagoya University Graduate School of Medicine, Nagoya, 466-8550, Japan
| | - Hirotaka Takahashi
- Division of Cell-Free Sciences, Proteo-Science Center, Ehime University, Matsuyama, 790-8577, Japan
| | - Hideshi Yokoyama
- Faculty of Pharmaceutical Sciences, Tokyo University of Science, Noda, Chiba, 278-8510, Japan
| | - Yukihiro Shiraki
- Department of Pathology, Nagoya University Hospital, Nagoya, 466-8550, Japan
| | - Atsushi Enomoto
- Department of Pathology, Nagoya University Hospital, Nagoya, 466-8550, Japan
| | - Sohei Abe
- Department of Gastroenterology, Graduate School of Medicine, University of Tokyo, Tokyo, 113-8655, Japan
| | - Yoku Hayakawa
- Department of Gastroenterology, Graduate School of Medicine, University of Tokyo, Tokyo, 113-8655, Japan
| | - Tetsuo Ushiku
- Department of Pathology, Graduate School of Medicine, University of Tokyo, Tokyo, 113-8655, Japan
| | - Michihiro Mutoh
- Department of Molecular-Targeting Prevention, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, 602-8566, Japan
| | - Yasuyuki Fujita
- Department of Molecular Oncology, Graduate School of Medicine, Kyoto University, Kyoto, 606-8501, Japan
| | - Shunsuke Kon
- Division of Cancer Biology, Research Institute for Biomedical Sciences, Tokyo University of Science, Noda, Chiba, 278-0022, Japan.
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Vadhwana B, Tarazi M, Patel V. The Role of Artificial Intelligence in Prospective Real-Time Histological Prediction of Colorectal Lesions during Colonoscopy: A Systematic Review and Meta-Analysis. Diagnostics (Basel) 2023; 13:3267. [PMID: 37892088 PMCID: PMC10606449 DOI: 10.3390/diagnostics13203267] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 10/16/2023] [Accepted: 10/19/2023] [Indexed: 10/29/2023] Open
Abstract
Artificial intelligence (AI) presents a novel platform for improving disease diagnosis. However, the clinical utility of AI remains limited to discovery studies, with poor translation to clinical practice. Current data suggests that 26% of diminutive pre-malignant lesions and 3.5% of colorectal cancers are missed during colonoscopies. The primary aim of this study was to explore the role of artificial intelligence in real-time histological prediction of colorectal lesions during colonoscopy. A systematic search using MeSH headings relating to "AI", "machine learning", "computer-aided", "colonoscopy", and "colon/rectum/colorectal" identified 2290 studies. Thirteen studies reporting real-time analysis were included. A total of 2958 patients with 5908 colorectal lesions were included. A meta-analysis of six studies reporting sensitivities (95% CI) demonstrated that endoscopist diagnosis was superior to a computer-assisted detection platform, although no statistical significance was reached (p = 0.43). AI applications have shown encouraging results in differentiating neoplastic and non-neoplastic lesions using narrow-band imaging, white light imaging, and blue light imaging. Other modalities include autofluorescence imaging and elastic scattering microscopy. The current literature demonstrates that despite the promise of new endoscopic AI models, they remain inferior to expert endoscopist diagnosis. There is a need to focus developments on real-time histological predictions prior to clinical translation to demonstrate improved diagnostic capabilities and time efficiency.
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Affiliation(s)
- Bhamini Vadhwana
- Department of Surgery and Cancer, Imperial College London, Du Cane Road, London W12 0HS, UK
| | - Munir Tarazi
- Department of Surgery and Cancer, Imperial College London, Du Cane Road, London W12 0HS, UK
| | - Vanash Patel
- Department of Surgery and Cancer, Imperial College London, Du Cane Road, London W12 0HS, UK
- West Hertfordshire Hospital NHS Trust, Vicarage Road, Watford WD18 0HB, UK
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Nagai M, Suzuki S, Minato Y, Ishibashi F, Mochida K, Ohata K, Morishita T. Detecting colorectal lesions with image-enhanced endoscopy: an updated review from clinical trials. Clin Endosc 2023; 56:553-562. [PMID: 37491990 PMCID: PMC10565430 DOI: 10.5946/ce.2023.055] [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: 02/23/2023] [Revised: 03/31/2023] [Accepted: 04/09/2023] [Indexed: 07/27/2023] Open
Abstract
Colonoscopy plays an important role in reducing the incidence and mortality of colorectal cancer by detecting adenomas and other precancerous lesions. Image-enhanced endoscopy (IEE) increases lesion visibility by enhancing the microstructure, blood vessels, and mucosal surface color, resulting in the detection of colorectal lesions. In recent years, various IEE techniques have been used in clinical practice, each with its unique characteristics. Numerous studies have reported the effectiveness of IEE in the detection of colorectal lesions. IEEs can be divided into two broad categories according to the nature of the image: images constructed using narrowband wavelength light, such as narrowband imaging and blue laser imaging/blue light imaging, or color images based on white light, such as linked color imaging, texture and color enhancement imaging, and i-scan. Conversely, artificial intelligence (AI) systems, such as computer-aided diagnosis systems, have recently been developed to assist endoscopists in detecting colorectal lesions during colonoscopy. To better understand the features of each IEE, this review presents the effectiveness of each type of IEE and their combination with AI for colorectal lesion detection by referencing the latest research data.
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Affiliation(s)
- Mizuki Nagai
- Department of Gastroenterology, International University of Health and Welfare Ichikawa Hospital, Chiba, Japan
| | - Sho Suzuki
- Department of Gastroenterology, International University of Health and Welfare Ichikawa Hospital, Chiba, Japan
| | - Yohei Minato
- Department of Gastrointestinal Endoscopy, NTT Medical Center Tokyo, Tokyo, Japan
| | - Fumiaki Ishibashi
- Department of Gastroenterology, International University of Health and Welfare Ichikawa Hospital, Chiba, Japan
| | - Kentaro Mochida
- Department of Gastroenterology, International University of Health and Welfare Ichikawa Hospital, Chiba, Japan
| | - Ken Ohata
- Department of Gastrointestinal Endoscopy, NTT Medical Center Tokyo, Tokyo, Japan
| | - Tetsuo Morishita
- Department of Gastroenterology, International University of Health and Welfare Ichikawa Hospital, Chiba, Japan
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Shijimaya T, Tahara T, Yamazaki J, Kobayashi S, Horitani A, Matsumoto Y, Nakamura N, Okazaki T, Takahashi Y, Tomiyama T, Honzawa Y, Fukata N, Fukui T, Naganuma M. Microarchitectures of Barrett's esophagus associated with DNA methylation status. Epigenomics 2023; 15:759-767. [PMID: 37661863 DOI: 10.2217/epi-2023-0214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/05/2023] Open
Abstract
Aim: DNA methylation is involved in esophageal adenocarcinoma (EAC) and Barrett's esophagus (BE). Microarchitectures of on-neoplastic BE associated with DNA methylation status were examined using magnifying narrow-band imaging (NBI) endoscopy. Patients and methods: Using biopsies from non-neoplastic BE without cancer (n = 66; N group), with EAC (n = 27; ADJ group) and EAC tissue (n = 22; T group), methylation of N33, DPYS, SLC16A12, miR124a3 and miR34bc genes were quantified. Magnifying NBI features of non-neoplastic BE were classified according to their morphologies. Results: The ADJ and T groups presented higher DNA methylation compared with the N group. Magnifying NBI endoscopic features of non-neoplastic BE also correlated with DNA methylation as an independent factor. Conclusion: Microarchitectures of BE visualized by magnifying NBI endoscopy correlated with DNA methylation.
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Affiliation(s)
- Takuya Shijimaya
- Third Department of Internal Medicine, Kansai Medical University, Hirakata, Japan
| | - Tomomitsu Tahara
- Third Department of Internal Medicine, Kansai Medical University, Hirakata, Japan
| | - Jumpei Yamazaki
- Translational Research Unit, Veterinary Teaching Hospital, Graduate School of Veterinary Medicine, Hokkaido University, Japan
- One Health Research Center and Veterinary Teaching Hospital, Graduate School of Veterinary Medicine, Hokkaido University, Japan
| | - Sanshiro Kobayashi
- Third Department of Internal Medicine, Kansai Medical University, Hirakata, Japan
| | - Anna Horitani
- Third Department of Internal Medicine, Kansai Medical University, Hirakata, Japan
| | - Yasushi Matsumoto
- Third Department of Internal Medicine, Kansai Medical University, Hirakata, Japan
| | - Naohiro Nakamura
- Third Department of Internal Medicine, Kansai Medical University, Hirakata, Japan
| | - Takashi Okazaki
- Third Department of Internal Medicine, Kansai Medical University, Hirakata, Japan
| | - Yu Takahashi
- Third Department of Internal Medicine, Kansai Medical University, Hirakata, Japan
| | - Takashi Tomiyama
- Third Department of Internal Medicine, Kansai Medical University, Hirakata, Japan
| | - Yusuke Honzawa
- Third Department of Internal Medicine, Kansai Medical University, Hirakata, Japan
| | - Norimasa Fukata
- Third Department of Internal Medicine, Kansai Medical University, Hirakata, Japan
| | - Toshiro Fukui
- Third Department of Internal Medicine, Kansai Medical University, Hirakata, Japan
| | - Makoto Naganuma
- Third Department of Internal Medicine, Kansai Medical University, Hirakata, Japan
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Sinonquel P, Vermeire S, Maes F, Bisschops R. Advanced Imaging in Gastrointestinal Endoscopy: A Literature Review of the Current State of the Art. GE PORTUGUESE JOURNAL OF GASTROENTEROLOGY 2023; 30:175-191. [PMID: 37387720 PMCID: PMC10305270 DOI: 10.1159/000527083] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 09/11/2022] [Indexed: 01/03/2025]
Abstract
BACKGROUND AND AIMS Gastrointestinal (GI) endoscopy has known a great evolution in the last decades. Imaging techniques evolved from imaging with only standard white light endoscopes toward high-definition resolution endoscopes and the use of multiple color enhancement techniques, over to automated endoscopic assessment systems based on artificial intelligence. This narrative literature review aimed to provide a detailed overview on the latest evolutions within the field of advanced GI endoscopy, mainly focusing on the screening, diagnosis, and surveillance of common upper and lower GI pathology. METHODS This review comprises only literature about screening, diagnosis, and surveillance strategies using advanced endoscopic imaging techniques published in (inter)national peer-reviewed journals and written in English. Studies with only adult patients included were selected. A search was performed using MESH terms: dye-based chromoendoscopy, virtual chromoendoscopy, video enhancement technique, upper GI tract, lower GI tract, Barrett's esophagus, esophageal squamous cell carcinoma, gastric cancer, colorectal polyps, inflammatory bowel disease, artificial intelligence. This review does not elaborate on the therapeutic application or impact of advanced GI endoscopy. CONCLUSIONS Focusing on current and future applications and evolutions in the field of both upper and lower GI advanced endoscopy, this overview is a practical but detailed projection of the latest developments. Within this review, an active leap toward artificial intelligence and its recent developments in GI endoscopy was made. Additionally, the literature is weighted against the current international guidelines and assessed for its potential positive future impact.
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Affiliation(s)
- Pieter Sinonquel
- Department of Gastroenterology and Hepatology, University Hospitals Leuven, Leuven, Belgium
- Department of Translational Research in Gastrointestinal Diseases (TARGID), KU Leuven, Leuven, Belgium
| | - Séverine Vermeire
- Department of Gastroenterology and Hepatology, University Hospitals Leuven, Leuven, Belgium
- Department of Translational Research in Gastrointestinal Diseases (TARGID), KU Leuven, Leuven, Belgium
| | - Frederik Maes
- Department of Electrical Engineering (ESAT), KU Leuven, Leuven, Belgium
| | - Raf Bisschops
- Department of Gastroenterology and Hepatology, University Hospitals Leuven, Leuven, Belgium
- Department of Translational Research in Gastrointestinal Diseases (TARGID), KU Leuven, Leuven, Belgium
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11
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Turner MA, Cox KE, Liu S, Neel N, Amirfakhri S, Nishino H, Hosseini M, Alcantara JA, Abd El-Hafeez AA, Lwin TM, Mallya K, Pisegna JR, Singh SK, Ghosh P, Hoffman RM, Batra SK, Bouvet M. Specific Targeting and Labeling of Colonic Polyps in CPC-APC Mice with Mucin 5AC Fluorescent Antibodies: A Model for Detection of Early Colon Cancer. Curr Issues Mol Biol 2023; 45:3347-3358. [PMID: 37185743 PMCID: PMC10136452 DOI: 10.3390/cimb45040219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2023] [Revised: 04/03/2023] [Accepted: 04/05/2023] [Indexed: 05/17/2023] Open
Abstract
Poor visualization of polyps can limit colorectal cancer screening. Fluorescent antibodies to mucin5AC (MUC5AC), a glycoprotein upregulated in adenomas and colorectal cancer, could improve screening colonoscopy polyp detection rate. Adenomatous polyposis coli flox mice with a Cdx2-Cre transgene (CPC-APC) develop colonic polyps that contain both dysplastic and malignant tissue. Mice received MUC5AC-IR800 or IRdye800 as a control IV and were sacrificed after 48 h for near-infrared imaging of their colons. A polyp-to-background ratio (PBR) was calculated for each polyp by dividing the mean fluorescence intensity of the polyp by the mean fluorescence intensity of the background tissue. The mean 25 μg PBR was 1.70 (±0.56); the mean 50 μg PBR was 2.64 (±0.97); the mean 100 μg PBR was 3.32 (±1.33); and the mean 150 μg PBR was 3.38 (±0.87). The mean PBR of the dye-only control was 2.22 (±1.02), significantly less than the 150 μg arm (p-value 0.008). The present study demonstrates the ability of fluorescent anti-MUC5AC antibodies to specifically target and label colonic polyps containing high-grade dysplasia and intramucosal adenocarcinoma in CPC-APC mice. This technology can potentially improve the detection rate and decrease the miss rate of advanced colonic neoplasia and early cancer at colonoscopy.
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Affiliation(s)
- Michael A. Turner
- Division of Surgical Oncology, Department of Surgery, University of California San Diego, La Jolla, CA 92037, USA
- Department of Surgery, VA San Diego Healthcare System, La Jolla, CA 92161, USA
| | - Kristin E. Cox
- Division of Surgical Oncology, Department of Surgery, University of California San Diego, La Jolla, CA 92037, USA
- Department of Surgery, VA San Diego Healthcare System, La Jolla, CA 92161, USA
| | - Shanglei Liu
- Division of Surgical Oncology, Department of Surgery, University of California San Diego, La Jolla, CA 92037, USA
| | - Nicholas Neel
- Division of Surgical Oncology, Department of Surgery, University of California San Diego, La Jolla, CA 92037, USA
- Department of Surgery, VA San Diego Healthcare System, La Jolla, CA 92161, USA
| | - Siamak Amirfakhri
- Division of Surgical Oncology, Department of Surgery, University of California San Diego, La Jolla, CA 92037, USA
- Department of Surgery, VA San Diego Healthcare System, La Jolla, CA 92161, USA
| | - Hiroto Nishino
- Division of Surgical Oncology, Department of Surgery, University of California San Diego, La Jolla, CA 92037, USA
- Department of Surgery, VA San Diego Healthcare System, La Jolla, CA 92161, USA
| | - Mojgan Hosseini
- Department of Pathology, University of California San Diego, La Jolla, CA 92037, USA
| | - Joshua A. Alcantara
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA 92037, USA
| | - Amer Ali Abd El-Hafeez
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA 92037, USA
| | - Thinzar M. Lwin
- Department of Surgical Oncology, City of Hope National Medical Center, Duarte, CA 91010, USA
| | - Kavita Mallya
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE 68198, USA
| | - Joseph R. Pisegna
- Department of Gastroenterology, VA Los Angeles Healthcare System, Los Angeles, CA 90073, USA
| | - Satish K. Singh
- Medical Service, Section of Gastroenterology, VA Boston Healthcare System, Boston, MA 02130, USA
- Department of Medicine, Section of Gastroenterology, Boston University School of Medicine, Boston, MA 02118, USA
| | - Pradipta Ghosh
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA 92037, USA
- Department of Medicine, University of California San Diego, La Jolla, CA 92037, USA
| | - Robert M. Hoffman
- Division of Surgical Oncology, Department of Surgery, University of California San Diego, La Jolla, CA 92037, USA
- Department of Surgery, VA San Diego Healthcare System, La Jolla, CA 92161, USA
- AntiCancer, Inc., San Diego, CA 92111, USA
| | - Surinder K. Batra
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE 68198, USA
| | - Michael Bouvet
- Division of Surgical Oncology, Department of Surgery, University of California San Diego, La Jolla, CA 92037, USA
- Department of Surgery, VA San Diego Healthcare System, La Jolla, CA 92161, USA
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12
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Gimeno-García AZ, Hernández-Pérez A, Nicolás-Pérez D, Hernández-Guerra M. Artificial Intelligence Applied to Colonoscopy: Is It Time to Take a Step Forward? Cancers (Basel) 2023; 15:cancers15082193. [PMID: 37190122 DOI: 10.3390/cancers15082193] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Revised: 04/04/2023] [Accepted: 04/05/2023] [Indexed: 05/17/2023] Open
Abstract
Growing evidence indicates that artificial intelligence (AI) applied to medicine is here to stay. In gastroenterology, AI computer vision applications have been stated as a research priority. The two main AI system categories are computer-aided polyp detection (CADe) and computer-assisted diagnosis (CADx). However, other fields of expansion are those related to colonoscopy quality, such as methods to objectively assess colon cleansing during the colonoscopy, as well as devices to automatically predict and improve bowel cleansing before the examination, predict deep submucosal invasion, obtain a reliable measurement of colorectal polyps and accurately locate colorectal lesions in the colon. Although growing evidence indicates that AI systems could improve some of these quality metrics, there are concerns regarding cost-effectiveness, and large and multicentric randomized studies with strong outcomes, such as post-colonoscopy colorectal cancer incidence and mortality, are lacking. The integration of all these tasks into one quality-improvement device could facilitate the incorporation of AI systems in clinical practice. In this manuscript, the current status of the role of AI in colonoscopy is reviewed, as well as its current applications, drawbacks and areas for improvement.
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Affiliation(s)
- Antonio Z Gimeno-García
- Gastroenterology Department, Hospital Universitario de Canarias, 38200 San Cristóbal de La Laguna, Tenerife, Spain
- Instituto Universitario de Tecnologías Biomédicas (ITB) & Centro de Investigación Biomédica de Canarias (CIBICAN), Internal Medicine Department, Universidad de La Laguna, 38200 San Cristóbal de La Laguna, Tenerife, Spain
| | - Anjara Hernández-Pérez
- Gastroenterology Department, Hospital Universitario de Canarias, 38200 San Cristóbal de La Laguna, Tenerife, Spain
- Instituto Universitario de Tecnologías Biomédicas (ITB) & Centro de Investigación Biomédica de Canarias (CIBICAN), Internal Medicine Department, Universidad de La Laguna, 38200 San Cristóbal de La Laguna, Tenerife, Spain
| | - David Nicolás-Pérez
- Gastroenterology Department, Hospital Universitario de Canarias, 38200 San Cristóbal de La Laguna, Tenerife, Spain
- Instituto Universitario de Tecnologías Biomédicas (ITB) & Centro de Investigación Biomédica de Canarias (CIBICAN), Internal Medicine Department, Universidad de La Laguna, 38200 San Cristóbal de La Laguna, Tenerife, Spain
| | - Manuel Hernández-Guerra
- Gastroenterology Department, Hospital Universitario de Canarias, 38200 San Cristóbal de La Laguna, Tenerife, Spain
- Instituto Universitario de Tecnologías Biomédicas (ITB) & Centro de Investigación Biomédica de Canarias (CIBICAN), Internal Medicine Department, Universidad de La Laguna, 38200 San Cristóbal de La Laguna, Tenerife, Spain
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Nakshabandi AA, Lee JH. Contemporary advances in the endoscopic management of cholangiocarcinoma: a review of accomplished milestones and prospective opportunities. Expert Rev Gastroenterol Hepatol 2023; 17:175-187. [PMID: 36683580 DOI: 10.1080/17474124.2023.2170875] [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] [Indexed: 01/24/2023]
Abstract
INTRODUCTION Cholangiocarcinoma, a primary malignancy of epithelial cells of the bile ducts, has been shown to have increasing incidence rates globally. Many of the current advances aim to improve the accuracy of differentiation between benign biliary strictures and cholangiocarcinoma, which include endoscopic techniques, devices, image processing, and the use of genomic sequencing in acquired specimens. AREAS COVERED In this review, the authors explore the historical timeline of changes leading to modern management of cholangiocarcinoma, with special emphasis on endoscopic modalities and novel therapeutic interventions. The authors also expand on the strengths and shortcomings of endoscopic diagnostics and techniques in biliary drainage and finally discuss potential areas to focus for future research and development. EXPERT OPINION Despite the advances in diagnosis and management of cholangiocarcinoma, there remain multiple tasks that are still awaiting to be completed. Next-generation sequencing in the diagnosis of cholangiocarcinoma needs to be further tested, validated, and easily obtainable. Other innovative diagnostic modalities, such as the use of artificial intelligence in cholangioscopy, may provide an effective complementary modality to existing techniques. A consensus on biliary drainage needs to be defined and account for longevity and patient convenience.
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Affiliation(s)
- Ahmad Al Nakshabandi
- Department of Gastroenterology, Hepatology & Nutrition, Division of Internal Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jeffrey H Lee
- Department of Gastroenterology, Hepatology & Nutrition, Division of Internal Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
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14
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Colon cancer stage detection in colonoscopy images using YOLOv3 MSF deep learning architecture. Biomed Signal Process Control 2023. [DOI: 10.1016/j.bspc.2022.104283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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15
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Teramoto A, Hamada S, Ogino B, Yasuda I, Sano Y. Updates in narrow-band imaging for colorectal polyps: Narrow-band imaging generations, detection, diagnosis, and artificial intelligence. Dig Endosc 2022; 35:453-470. [PMID: 36480465 DOI: 10.1111/den.14489] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 12/01/2022] [Indexed: 01/20/2023]
Abstract
Narrow-band imaging (NBI) is an optical digital enhancement method that allows the observation of vascular and surface structures of colorectal lesions. Its usefulness in the detection and diagnosis of colorectal polyps has been demonstrated in several clinical trials and the diagnostic algorithms have been simplified after the establishment of endoscopic classifications such as the Japan NBI Expert Team classification. However, there were issues including lack of brightness in the earlier models, poor visibility under insufficient bowel preparation, and the incompatibility of magnifying endoscopes in certain endoscopic platforms, which had impeded NBI from becoming standardized globally. Nonetheless, NBI continued its evolution and the newest endoscopic platform launched in 2020 offers significantly brighter and detailed images. Enhanced visualization is expected to improve the detection of polyps while universal compatibility across all scopes including magnifying endoscopy will promote the global standardization of magnifying diagnosis. Therefore, knowledge related to magnifying colonoscopy will become essential as magnification becomes standardly equipped in future models, although the advent of computer-aided diagnosis and detection may greatly assist endoscopists to ensure quality of practice. Given that most endoscopic departments will be using both old and new models, it is important to understand how each generation of endoscopic platforms differ from each other. We reviewed the advances in the endoscopic platforms, artificial intelligence, and evidence related to NBI essential for the next generation of endoscopic practice.
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Affiliation(s)
- Akira Teramoto
- Third Department of Internal Medicine, Toyama University Hospital, Toyama, Japan
| | - Seiji Hamada
- Gastrointestinal Center, Urasoe General Hospital, Okinawa, Japan
| | - Banri Ogino
- Third Department of Internal Medicine, Toyama University Hospital, Toyama, Japan
| | - Ichiro Yasuda
- Third Department of Internal Medicine, Toyama University Hospital, Toyama, Japan
| | - Yasushi Sano
- Gastrointestinal Center, Sano Hospital, Hyogo, Japan
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16
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Minami S, Saso K, Miyoshi N, Fujino S, Kato S, Sekido Y, Hata T, Ogino T, Takahashi H, Uemura M, Yamamoto H, Doki Y, Eguchi H. Diagnosis of Depth of Submucosal Invasion in Colorectal Cancer with AI Using Deep Learning. Cancers (Basel) 2022; 14:5361. [PMID: 36358780 PMCID: PMC9656054 DOI: 10.3390/cancers14215361] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 10/23/2022] [Accepted: 10/24/2022] [Indexed: 08/30/2023] Open
Abstract
The submucosal invasion depth predicts prognosis in early colorectal cancer. Although colorectal cancer with shallow submucosal invasion can be treated via endoscopic resection, colorectal cancer with deep submucosal invasion requires surgical colectomy. However, accurately diagnosing the depth of submucosal invasion via endoscopy is difficult. We developed a tool to diagnose the depth of submucosal invasion in early colorectal cancer using artificial intelligence. We reviewed data from 196 patients who had undergone a preoperative colonoscopy at the Osaka University Hospital and Osaka International Cancer Institute between 2011 and 2018 and were diagnosed pathologically as having shallow submucosal invasion or deep submucosal invasion colorectal cancer. A convolutional neural network for predicting invasion depth was constructed using 706 images from 91 patients between 2011 and 2015 as the training dataset. The diagnostic accuracy of the constructed convolutional neural network was evaluated using 394 images from 49 patients between 2016 and 2017 as the validation dataset. We also prospectively tested the tool from 56 patients in 2018 with suspected early-stage colorectal cancer. The sensitivity, specificity, accuracy, and area under the curve of the convolutional neural network for diagnosing deep submucosal invasion colorectal cancer were 87.2% (258/296), 35.7% (35/98), 74.4% (293/394), and 0.758, respectively. The positive predictive value was 84.4% (356/422) and the sensitivity was 75.7% (356/470) in the test set. The diagnostic accuracy of the constructed convolutional neural network seemed to be as high as that of a skilled endoscopist. Thus, endoscopic image recognition by deep learning may be able to predict the submucosal invasion depth in early-stage colorectal cancer in clinical practice.
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Affiliation(s)
- Soichiro Minami
- Department of Gastroenterological Surgery, Osaka University Graduate School of Medicine, Suita 565-0871, Japan
- Department of Innovative Oncology Research and Regenerative Medicine, Osaka International Cancer Institute, Osaka 541-8567, Japan
| | - Kazuhiro Saso
- Department of Gastroenterological Surgery, Osaka University Graduate School of Medicine, Suita 565-0871, Japan
- Department of Innovative Oncology Research and Regenerative Medicine, Osaka International Cancer Institute, Osaka 541-8567, Japan
| | - Norikatsu Miyoshi
- Department of Gastroenterological Surgery, Osaka University Graduate School of Medicine, Suita 565-0871, Japan
- Department of Innovative Oncology Research and Regenerative Medicine, Osaka International Cancer Institute, Osaka 541-8567, Japan
| | - Shiki Fujino
- Department of Gastroenterological Surgery, Osaka University Graduate School of Medicine, Suita 565-0871, Japan
- Department of Innovative Oncology Research and Regenerative Medicine, Osaka International Cancer Institute, Osaka 541-8567, Japan
| | - Shinya Kato
- Department of Gastroenterological Surgery, Osaka University Graduate School of Medicine, Suita 565-0871, Japan
- Department of Innovative Oncology Research and Regenerative Medicine, Osaka International Cancer Institute, Osaka 541-8567, Japan
| | - Yuki Sekido
- Department of Gastroenterological Surgery, Osaka University Graduate School of Medicine, Suita 565-0871, Japan
| | - Tsuyoshi Hata
- Department of Gastroenterological Surgery, Osaka University Graduate School of Medicine, Suita 565-0871, Japan
| | - Takayuki Ogino
- Department of Gastroenterological Surgery, Osaka University Graduate School of Medicine, Suita 565-0871, Japan
| | - Hidekazu Takahashi
- Department of Gastroenterological Surgery, Osaka University Graduate School of Medicine, Suita 565-0871, Japan
| | - Mamoru Uemura
- Department of Gastroenterological Surgery, Osaka University Graduate School of Medicine, Suita 565-0871, Japan
| | - Hirofumi Yamamoto
- Department of Gastroenterological Surgery, Osaka University Graduate School of Medicine, Suita 565-0871, Japan
| | - Yuichiro Doki
- Department of Gastroenterological Surgery, Osaka University Graduate School of Medicine, Suita 565-0871, Japan
| | - Hidetoshi Eguchi
- Department of Gastroenterological Surgery, Osaka University Graduate School of Medicine, Suita 565-0871, Japan
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17
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Advanced Endoscopy for Benign Esophageal Disease: A Review Focused on Non-Erosive Reflux Disease and Eosinophilic Esophagitis. Healthcare (Basel) 2022; 10:healthcare10112183. [DOI: 10.3390/healthcare10112183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2022] [Revised: 10/13/2022] [Accepted: 10/20/2022] [Indexed: 11/06/2022] Open
Abstract
Advanced endoscopy (AVE) techniques include image-enhanced endoscopy methods, such as narrow-band imaging (NBI), and types of microscopic endoscopy, such as endocytoscopy. In the esophagus, AVE first showed diagnostic utility in the diagnosis of superficial esophageal cancer and was then applied to inflammatory disease. This review focuses on non-erosive reflux disease (NERD) and eosinophilic esophagitis (EoE), which sometimes show no abnormal findings on standard white light endoscopy alone. Studies have demonstrated that advanced endoscopy, including NBI magnification endoscopy and endocytoscopy, improved the diagnostic performance of white-light endoscopy alone for NERD and EoE. In this review, we explain why advanced endoscopy is needed for the diagnosis of these esophageal inflammatory diseases, summarize the study results, and discuss future perspectives.
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18
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Netinatsunton N, Cheewasereechon N, Pattarapuntakul T, Sottisuporn J, Kanjanapradit K, Ovartlarnporn B. Optical diagnosis by near-focus versus normal-focus narrow band imaging colonoscopy in colorectal polyps based on combined NICE and WASP classification: a randomized controlled trial. Clin Endosc 2022; 55:645-654. [PMID: 36071005 PMCID: PMC9539289 DOI: 10.5946/ce.2022.048] [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: 01/07/2022] [Accepted: 05/11/2022] [Indexed: 11/23/2022] Open
Abstract
Background/Aims Narrow Band Imaging (NBI) International Colorectal Endoscopic (NICE) and Workgroup Serrated Polyps and Polyposis (WASP) classifications were developed for optical diagnosis of neoplastic and sessile serrated polyps, respectively. Near-focus NBI with NICE combined with WASP criteria for optical diagnosis of colonic polyps has not yet been evaluated. We aimed to compare the accuracy of near-focus NBI (group A) with normal-focus NBI (group B) in real-time optical diagnosis of colorectal polyps using combined NICE and WASP criteria.
Methods Among 362 patients, 118 with 227 polyps were recruited. Groups A and B included 62 patients with 130 polyps (three lost polyps) and 56 patients with 106 polyps (six lost polyps), respectively. Optical diagnoses were compared with pathological reports.
Results The accuracy of optical diagnosis of neoplastic polyps in groups A and B was not significantly different (76% vs. 71%, p=0.52). WASP criteria provided all false positive diagnoses of sessile polyps as serrated polyps in 31 (16.2%) patients.
Conclusions Near-focus NBI was not superior to normal-focus NBI in optical diagnostics of neoplastic polyps using NICE criteria. In our study, WASP classification yielded all false positives in the diagnosis of sessile serrated adenomas/polyps. Routine real-life optical diagnosis of polyps is still unadvisable.
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Affiliation(s)
- Nisa Netinatsunton
- NKC Institute of Gastroenterology and Hepatology, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand
| | - Natcha Cheewasereechon
- NKC Institute of Gastroenterology and Hepatology, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand
| | - Tanawat Pattarapuntakul
- NKC Institute of Gastroenterology and Hepatology, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand
| | - Jaksin Sottisuporn
- NKC Institute of Gastroenterology and Hepatology, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand
| | - Kanet Kanjanapradit
- Division of Pathology, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand
| | - Bancha Ovartlarnporn
- NKC Institute of Gastroenterology and Hepatology, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand
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Shaukat A, Tuskey A, Rao VL, Dominitz JA, Murad MH, Keswani RN, Bazerbachi F, Day LW. Interventions to improve adenoma detection rates for colonoscopy. Gastrointest Endosc 2022; 96:171-183. [PMID: 35680469 DOI: 10.1016/j.gie.2022.03.026] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 03/25/2022] [Indexed: 02/08/2023]
Affiliation(s)
- Aasma Shaukat
- Division of Gastroenterology, Department of Medicine, NYU Grossman School of Medicine, New York, New York, USA
| | - Anne Tuskey
- Division of Gastroenterology, Department of Medicine, University of Virginia, Arlington, Virginia, USA
| | - Vijaya L Rao
- Section of Gastroenterology, Hepatology, and Nutrition, Department of Medicine, The University of Chicago, Chicago, Illinois, USA
| | - Jason A Dominitz
- Division of Gastroenterology, Department of Medicine, Puget Sound Veterans Affairs Medical Center and University of Washington, Seattle, Washington, USA
| | - M Hassan Murad
- Division of Public Health, Infectious Diseases and Occupational Medicine, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Rajesh N Keswani
- Division of Gastroenterology, Department of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Fateh Bazerbachi
- Division of Gastroenterology, CentraCare, Interventional Endoscopy Program, St Cloud, Minnesota, USA
| | - Lukejohn W Day
- Division of Gastroenterology, Department of Medicine, Zuckerberg San Francisco General Hospital and University of San Francisco, San Francisco, California, USA
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Haider M, Zaki KZ, El Hamshary MR, Hussain Z, Orive G, Ibrahim HO. Polymeric nanocarriers: A promising tool for early diagnosis and efficient treatment of colorectal cancer. J Adv Res 2022; 39:237-255. [PMID: 35777911 PMCID: PMC9263757 DOI: 10.1016/j.jare.2021.11.008] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Revised: 11/03/2021] [Accepted: 11/17/2021] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Colorectal cancer (CRC) is the third most prevalent type of cancer for incidence and second for mortality worldwide. Late diagnosis and inconvenient and expensive current diagnostic tools largely contribute to the progress of the disease. The use of chemotherapy in the management of CRC significantly reduces tumor growth, metastasis, and morbidity rates. However, poor solubility, low cellular uptake, nonspecific distribution, multiple drug resistance and unwanted adverse effects are still among the major drawbacks of chemotherapy that limit its clinical significance in the treatment of CRC. Owing to their remarkable advantages over conventional therapies, the use of nanotechnology-based delivery systems especially polymeric nanocarriers (PNCs) has revolutionized many fields including disease diagnosis and drug delivery. AIM OF REVIEW In this review, we shed the light on the current status of using PNCs in the diagnosis and treatment of CRC with a special focus on targeting strategies, surface modifications and safety concerns for different types of PNCs in colonic cancer delivery. KEY SCIENTIFIC CONCEPTS OF REVIEW The review explores the current progress on the use of PNCs in the diagnosis and treatment of CRC with a special focus on the role of PNCs in improvement of cellular uptake, drug targeting and co-delivery of chemotherapeutic agents. Possible toxicity and biocompatibility issues related to the use of PNCs and imitations and future recommendation for the use of those smart carriers in the diagnosis and treatment of CRC are also discussed.
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Affiliation(s)
- Mohamed Haider
- Department of Pharmaceutics and Pharmaceutical Technology, College of Pharmacy, University of Sharjah, Sharjah 27272, United Arab Emirates; Department of Pharmaceutics and Industrial Pharmacy, Faculty of Pharmacy, Cairo University, Cairo 71526, Egypt.
| | - Khaled Zaki Zaki
- Department of Pharmaceutics and Pharmaceutical Technology, College of Pharmacy, University of Sharjah, Sharjah 27272, United Arab Emirates
| | - Mariam Rafat El Hamshary
- Department of Pharmaceutics and Pharmaceutical Technology, College of Pharmacy, University of Sharjah, Sharjah 27272, United Arab Emirates
| | - Zahid Hussain
- Department of Pharmaceutics and Pharmaceutical Technology, College of Pharmacy, University of Sharjah, Sharjah 27272, United Arab Emirates
| | - Gorka Orive
- NanoBioCel Group, Laboratory of Pharmaceutics, School of Pharmacy, University of the Basque Country (UPV/EHU), Paseo de la Universidad 7, 01006 Vitoria-Gasteiz, Spain; Bioaraba, NanoBioCel Research Group, Vitoria-Gasteiz, Spain; Biomedical Research Networking Centre in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Vitoria-Gasteiz, Spain
| | - Haidy Osama Ibrahim
- Department of Pharmaceutics and Pharmaceutical Technology, College of Pharmacy, University of Sharjah, Sharjah 27272, United Arab Emirates
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Lu Y, Wu J, Zhuo X, Hu M, Chen Y, Luo Y, Feng Y, Zhi M, Li C, Sun J. Real-Time Artificial Intelligence-Based Histologic Classifications of Colorectal Polyps Using Narrow-Band Imaging. Front Oncol 2022; 12:879239. [PMID: 35619917 PMCID: PMC9128404 DOI: 10.3389/fonc.2022.879239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2022] [Accepted: 03/28/2022] [Indexed: 11/28/2022] Open
Abstract
Background and Aims With the development of artificial intelligence (AI), we have become capable of applying real-time computer-aided detection (CAD) in clinical practice. Our aim is to develop an AI-based CAD-N and optimize its diagnostic performance with narrow-band imaging (NBI) images. Methods We developed the CAD-N model with ResNeSt using NBI images for real-time assessment of the histopathology of colorectal polyps (type 1, hyperplastic or inflammatory polyps; type 2, adenomatous polyps, intramucosal cancer, or superficial submucosal invasive cancer; type 3, deep submucosal invasive cancer; and type 4, normal mucosa). We also collected 116 consecutive polyp videos to validate the accuracy of the CAD-N. Results A total of 10,573 images (7,032 images from 650 polyps and 3,541 normal mucous membrane images) from 478 patients were finally chosen for analysis. The sensitivity, specificity, PPV, NPV, and accuracy for each type of the CAD-N in the test set were 89.86%, 97.88%, 93.13%, 96.79%, and 95.93% for type 1; 93.91%, 95.49%, 91.80%, 96.69%, and 94.94% for type 2; 90.21%, 99.29%, 90.21%, 99.29%, and 98.68% for type 3; and 94.86%, 97.28%, 94.73%, 97.35%, and 96.45% for type 4, respectively. The overall accuracy was 93%. We also built models for polyps ≤5 mm, and the sensitivity, specificity, PPV, NPV, and accuracy for them were 96.81%, 94.08%, 95%, 95.97%, and 95.59%, respectively. Video validation results showed that the sensitivity, specificity, and accuracy of the CAD-N were 84.62%, 86.27%, and 85.34%, respectively. Conclusions We have developed real-time AI-based histologic classifications of colorectal polyps using NBI images with good accuracy, which may help in clinical management and documentation of optical histology results.
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Affiliation(s)
- Yi Lu
- Department of Gastrointestinal Endoscopy, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases , the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Jiachuan Wu
- Digestive Endoscopy Center, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Xianhua Zhuo
- Department of Gastrointestinal Endoscopy, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.,Department of Otorhinolaryngology, the Second Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Minhui Hu
- Department of Gastrointestinal Endoscopy, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases , the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Yongpeng Chen
- Department of Gastrointestinal Endoscopy, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases , the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Yuxuan Luo
- Tianjin Economic-Technological Development Area (TEDA) Yujin Digestive Health Industry Research Institute, Tianjin, China
| | - Yue Feng
- Tianjin Economic-Technological Development Area (TEDA) Yujin Digestive Health Industry Research Institute, Tianjin, China
| | - Min Zhi
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases , the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.,Department of Gastroenterology, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Chujun Li
- Department of Gastrointestinal Endoscopy, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases , the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Jiachen Sun
- Department of Gastrointestinal Endoscopy, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases , the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
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22
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Yoshida N, Sano Y. History, clinical application, and future perspective of narrow band imaging and blue laser imaging. Dig Endosc 2022; 34 Suppl 2:86-90. [PMID: 35048422 DOI: 10.1111/den.14228] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Affiliation(s)
- Naohisa Yoshida
- Department of Molecular Gastroenterology and Hepatology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto, Japan
| | - Yasushi Sano
- Kansai Medical University, Osaka, Japan.,Gastrointestinal Center, Sano Hospital, Hyogo, Japan
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23
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Tang CP, Hsieh CH, Lin TL. Computer-Aided Image Enhanced Endoscopy Automated System to Boost Polyp and Adenoma Detection Accuracy. Diagnostics (Basel) 2022; 12:diagnostics12040968. [PMID: 35454016 PMCID: PMC9025080 DOI: 10.3390/diagnostics12040968] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 04/03/2022] [Accepted: 04/08/2022] [Indexed: 01/04/2023] Open
Abstract
Colonoscopy is the gold standard to detect colon polyps prematurely. Early detection, characterization and resection of polyps decrease colon cancer incidence. Colon polyp missing rate remains high despite novel methods development. Narrowed-band imaging (NBI) is one of the image enhance techniques used to boost polyp detection and characterization, which uses special filters to enhance the contrast of the mucosa surface and vascular pattern of the polyp. However, the single-button-activated system is not convenient for a full-time colonoscopy operation. We selected three methods to simulate the NBI system: Color Transfer with Mean Shift (CTMS), Multi-scale Retinex with Color Restoration (MSRCR), and Gamma and Sigmoid Conversions (GSC). The results show that the classification accuracy using the original images is the lowest. All color transfer methods outperform the original images approach. Our results verified that the color transfer has a positive impact on the polyp identification and classification task. Combined analysis results of the mAP and the accuracy show an excellent performance of the MSRCR method.
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Affiliation(s)
- Chia-Pei Tang
- Division of Gastroenterology, Department of Internal Medicine, Dalin Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Chiayi City 62224, Taiwan;
- School of Medicine, Tzu Chi University, Hualien City 97004, Taiwan
| | - Chen-Hung Hsieh
- Department of Management Information System, National Chiayi University, Chiayi City 600023, Taiwan;
| | - Tu-Liang Lin
- Department of Management Information System, National Chiayi University, Chiayi City 600023, Taiwan;
- Correspondence:
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24
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Staudenmann D, Liu K, Varma P, Wong M, Rai S, Tsoutsman T, Choi KH, Saxena P, Kaffes AJ. Narrow band imaging versus white light for detecting sessile serrated lesion: A prospective randomized multicenter study. DEN OPEN 2022; 2:e44. [PMID: 35310703 PMCID: PMC8828189 DOI: 10.1002/deo2.44] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/01/2021] [Revised: 06/29/2021] [Accepted: 07/03/2021] [Indexed: 11/11/2022]
Affiliation(s)
- Dominic Staudenmann
- AW Morrow Gastroenterology and Liver Centre Royal Prince Alfred Hospital Sydney Australia
- Department of Gastroenterology Praxis Balsiger Seibold und Partner Bern Switzerland
- Université de Fribourg Fribourg Switzerland
| | - Ken Liu
- AW Morrow Gastroenterology and Liver Centre Royal Prince Alfred Hospital Sydney Australia
- Sydney Medical School University of Sydney Sydney Australia
| | - Poornima Varma
- Department of Gastroenterology Austin Health Heidelberg Australia
| | - May Wong
- AW Morrow Gastroenterology and Liver Centre Royal Prince Alfred Hospital Sydney Australia
- Royal North Shore Hospital St. Leonards Sydney Australia
| | - Sonam Rai
- Sydney Medical School University of Sydney Sydney Australia
| | - Tatiana Tsoutsman
- AW Morrow Gastroenterology and Liver Centre Royal Prince Alfred Hospital Sydney Australia
- Sydney Medical School University of Sydney Sydney Australia
| | - Kyung Ho Choi
- AW Morrow Gastroenterology and Liver Centre Royal Prince Alfred Hospital Sydney Australia
- Sydney Medical School University of Sydney Sydney Australia
| | - Payal Saxena
- AW Morrow Gastroenterology and Liver Centre Royal Prince Alfred Hospital Sydney Australia
- Sydney Medical School University of Sydney Sydney Australia
| | - Arthur John Kaffes
- AW Morrow Gastroenterology and Liver Centre Royal Prince Alfred Hospital Sydney Australia
- Sydney Medical School University of Sydney Sydney Australia
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25
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Yamamoto K, Okuni T, Kurose M, Kakuki T, Nakano M, Sakamoto H, Takano K. Narrow band imaging accentuates differences in contrast between cartilage and perichondrium in the elevation of the muco-perichondrium flap during septoplasty and open septorhinoplasty. Auris Nasus Larynx 2022; 49:973-979. [DOI: 10.1016/j.anl.2022.03.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 02/25/2022] [Accepted: 03/04/2022] [Indexed: 11/28/2022]
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26
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Buchner AM, Sharma P, Wallace MB. Contrast‐Enhanced Endoscopy. SUCCESSFUL TRAINING IN GASTROINTESTINAL ENDOSCOPY 2022:177-194. [DOI: 10.1002/9781119529675.ch15] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/03/2025]
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27
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Kandel P, Wallace MB. Advanced Imaging Techniques and In vivo Histology: Current Status and Future Perspectives (Lower G.I.). GASTROINTESTINAL AND PANCREATICO-BILIARY DISEASES: ADVANCED DIAGNOSTIC AND THERAPEUTIC ENDOSCOPY 2022:291-310. [DOI: 10.1007/978-3-030-56993-8_110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/03/2025]
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28
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Chang WY, Chiu HM. Can image-enhanced endoscopy improve adenoma detection rate? Dig Endosc 2022; 34:284-296. [PMID: 34351014 DOI: 10.1111/den.14102] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Revised: 07/26/2021] [Accepted: 08/02/2021] [Indexed: 12/14/2022]
Abstract
An accumulating body of evidence has shown that detection and resection of pre-cancerous adenoma by colonoscopy could effectively prevent colorectal cancer (CRC) and its related mortality. Among various colonoscopy quality indicators, such as cecal intubation rate, withdrawal time, and adenoma detection rate (ADR); ADR is the most important and most closely associated with the subsequent risk of CRC. Image-enhanced endoscopy (IEE), including digital and dye-based IEE, was originally developed to discriminate neoplastic from non-neoplastic lesions but later studies have demonstrated that it can also enhance lesion detection by enhancing the contrast between the lesion and background colonic mucosa. Nevertheless, using IEE in colonoscopy for lesion detection is still not the standard way of practice in the real world. For a better understanding of current IEE modalities, this review introduces and compares the currently available IEE modalities and their efficacy in detecting adenoma from the results of randomized controlled trials or meta-analyses.
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Affiliation(s)
- Wei-Yuan Chang
- Department of Internal Medicine, National Taiwan University Hospital Hsin-Chu Branch, Hsin-Chu, Taiwan
| | - Han-Mo Chiu
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
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29
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Peitsidis P, Vrachnis N, Sifakis S, Katsetos C, Tsikouras P, Antonakopoulos N, Alexopoulos E, Kalmantis K. Improving tissue characterization, differentiation and diagnosis in gynecology with the narrow-band imaging technique: A systematic review. Exp Ther Med 2021; 23:36. [PMID: 34849151 PMCID: PMC8613536 DOI: 10.3892/etm.2021.10958] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Accepted: 05/18/2021] [Indexed: 11/11/2022] Open
Abstract
Narrow-band imaging (NBI), an on-demand, real-time endoscopic imaging technique, was developed to enhance visualization of the mucosal vascular network and surface texture. The present article provides a systematic review of studies that assessed the use of NBI in gynecological endoscopy. The following electronic databases were searched: PubMed (1950-2020), Google Scholar (2004-2020) and Cochrane Library (2010-2020). In the initial search, 3,836 entries were identified, of which 31 were finally included in the systematic review. Of the selected studies, 10 (32%) were case reports, 19 (61.2%) were prospective studies and 2 (6.4%) were randomized controlled trials with control groups. The selected studies reported on the use of NBI in hysteroscopy, laparoscopy and colposcopy. It was revealed that NBI utilization in hysteroscopy increased the accuracy, sensitivity and specificity in detecting malignant and premalignant lesions. NBI improved the specificity and sensitivity in the detection of endometriotic lesions and cervical lesions. Conventional white light endoscopy in gynecology may be significantly improved by the use of NBI. Further studies with larger cohorts and improved design are required to achieve more reliable results. It is of special interest that utilization of this method requires apparatus which is expensive; concerns are the long training and experience of staff required and the long learning curve.
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Affiliation(s)
- Panagiotis Peitsidis
- National Public Health Organization of Greece, Department of Obstetrics and Gynecology, Tzaneio Hospital, 18536 Piraeus, Greece.,Faculty of Midwifery, University of West Attica, 12243 Athens, Greece
| | - Nikolaos Vrachnis
- 3rd Department of Obstetrics and Gynecology, National and Kapodistrian University of Athens Medical School, Attikon Hospital, 12462 Athens, Greece.,Department of Vascular Biology, Molecular and Clinical Sciences Research Institute, St. George's University of London, London SW17 0QT, UK
| | - Stavros Sifakis
- Department of Obstetrics and Gynecology, Mitera Hospital, 71202 Heraklion, Greece
| | - Christos Katsetos
- National Public Health Organization of Greece, Department of Obstetrics and Gynecology, Tzaneio Hospital, 18536 Piraeus, Greece
| | - Panagiotis Tsikouras
- Department of Obstetrics and Gynecology, Democritus University of Thrace Medical School, 68100 Alexandroupolis, Greece
| | - Nikolaos Antonakopoulos
- 3rd Department of Obstetrics and Gynecology, National and Kapodistrian University of Athens Medical School, Attikon Hospital, 12462 Athens, Greece
| | - Evaggelos Alexopoulos
- Department of Obstetrics and Gynecology, Alexandra Maternity Hospital, 11528 Athens, Greece
| | - Konstantinos Kalmantis
- Department of Obstetrics and Gynecology, Alexandra Maternity Hospital, 11528 Athens, Greece
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30
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Hatta W, Koike T, Ogata Y, Kondo Y, Ara N, Uno K, Asano N, Imatani A, Masamune A. Comparison of Magnifying Endoscopy with Blue Light Imaging and Narrow Band Imaging for Determining the Invasion Depth of Superficial Esophageal Squamous Cell Carcinoma by the Japanese Esophageal Society's Intrapapillary Capillary Loop Classification. Diagnostics (Basel) 2021; 11:diagnostics11111941. [PMID: 34829288 PMCID: PMC8625194 DOI: 10.3390/diagnostics11111941] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Revised: 10/12/2021] [Accepted: 10/16/2021] [Indexed: 12/24/2022] Open
Abstract
Blue light imaging (BLI) and narrow-band imaging (NBI) are two modalities that enable narrow-band light observation. We aimed to compare the diagnostic ability of magnifying endoscopy with BLI (ME-BLI) and NBI (ME-NBI) for determining the invasion depth of superficial esophageal squamous cell carcinoma (SESCC) by the Japanese Esophageal Society’s intrapapillary capillary loop (IPCL) classification. We enrolled 81 patients between 2014 and 2018, and the still endoscopic images for diagnosing the invasion depth at the same part in ME-BLI and ME-NBI were registered. Two blinded investigators reviewed them and diagnosed the invasion depth by the IPCL classification. Subsequently, the diagnostic yields in two modalities were compared. The overall accuracies for the invasion depth by the IPCL classification in ME-BLI and ME-NBI did not differ significantly (67.9–71.6% vs. 72.8–74.1%). In the analysis based on the invasion depth, the sensitivities and positive predictive values in tumors invading the muscularis mucosa or submucosa ≤200 µm were low (23.1–30.8% and 16.7–25.0%, respectively) in both modalities. In conclusion, the diagnostic ability for determining the invasion depth of SESCC by the IPCL classification was relatively similar in ME-BLI and ME-NBI, but diagnosis by magnifying endoscopy alone might not be satisfactory.
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Affiliation(s)
- Waku Hatta
- Division of Gastroenterology, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai 980-8574, Japan; (T.K.); (Y.O.); (K.U.); (N.A.); (A.I.); (A.M.)
- Correspondence: ; Tel.: +81-22-717-7171; Fax: +81-22-717-7177
| | - Tomoyuki Koike
- Division of Gastroenterology, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai 980-8574, Japan; (T.K.); (Y.O.); (K.U.); (N.A.); (A.I.); (A.M.)
| | - Yohei Ogata
- Division of Gastroenterology, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai 980-8574, Japan; (T.K.); (Y.O.); (K.U.); (N.A.); (A.I.); (A.M.)
| | - Yutaka Kondo
- Division of Gastroenterology, Tohoku Rosai Hospital, 4-3-21 Dainohara, Aoba-ku, Sendai 981-8563, Japan;
| | - Nobuyuki Ara
- National Hospital Organization Sendai Medical Center, Department of Gastroenterology, 2-11-12 Miyagino, Miyagino-ku, Sendai 983-8520, Japan;
| | - Kaname Uno
- Division of Gastroenterology, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai 980-8574, Japan; (T.K.); (Y.O.); (K.U.); (N.A.); (A.I.); (A.M.)
| | - Naoki Asano
- Division of Gastroenterology, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai 980-8574, Japan; (T.K.); (Y.O.); (K.U.); (N.A.); (A.I.); (A.M.)
| | - Akira Imatani
- Division of Gastroenterology, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai 980-8574, Japan; (T.K.); (Y.O.); (K.U.); (N.A.); (A.I.); (A.M.)
| | - Atsushi Masamune
- Division of Gastroenterology, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai 980-8574, Japan; (T.K.); (Y.O.); (K.U.); (N.A.); (A.I.); (A.M.)
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31
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Wang T, Tsang T, Turshudzhyan A, Dacus H, Tadros M. Updates, Controversies, and Emerging Approaches in Colorectal Screening. Cureus 2021; 13:e17844. [PMID: 34660050 PMCID: PMC8501747 DOI: 10.7759/cureus.17844] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/08/2021] [Indexed: 12/24/2022] Open
Abstract
Colorectal cancer (CRC) is the third most common cancer worldwide and the second leading cause of cancer-related deaths. Despite the threatening statistics, the US burden for CRC has been decreasing, which is likely multifactorial and has partial contribution from widespread timely screening, more advanced CRC treatment, and daily aspirin use in some patients. While overall death rate from CRC decreased by approximately a half between 1975 and 2012, epidemiologic studies demonstrate that CRC incidence is increasing in the younger population. This pattern has prompted the American Cancer Society (ACS) to revise their guidelines. In this review, we plan to discuss the most recent changes in guidelines, data to support them, controversies concerning CRC screening methods, age to start and to stop screening, and post-colonoscopy/polypectomy surveillance guidelines.
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Affiliation(s)
- Tiffany Wang
- Internal Medicine, Albany Medical College, Albany, USA
| | - Tyler Tsang
- Internal Medicine, Albany Medical College, Albany, USA
| | | | - Heather Dacus
- Internal Medicine, New York State Department of Health, New York, USA
| | - Micheal Tadros
- Gastroenterology and Hepatology, Albany Medical Center, Albany, USA
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32
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Inoue H, Fujiyoshi MRA, Toshimori A, Fujiyoshi Y, Shimamura Y, Tanabe M, Nishikawa Y, Mochizuki Y, Sakaguchi T, Kimura R, Izawa S, Ikeda H, Onimaru M, Uragami N. Unified magnifying endoscopic classification for esophageal, gastric and colonic lesions: a feasibility pilot study. Endosc Int Open 2021; 9:E1306-E1314. [PMID: 34466352 PMCID: PMC8367430 DOI: 10.1055/a-1499-6638] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Accepted: 04/20/2021] [Indexed: 02/06/2023] Open
Abstract
Background and study aims Image-enhanced magnifying endoscopy allows optimization of the detection and diagnosis of lesions found in the gastrointestinal tract. Current organ-specific classifications are well-accepted by specialized endoscopists but may pose confusion for general gastroenterologists. To address this, our group proposed the Unified Magnifying Endoscopic Classification (UMEC) which can be applied either in esophagus, stomach, or colon. The aim of this study was to evaluate the diagnostic performance and clinical applicability of UMEC. Patients and methods A single-center, feasibility pilot study was conducted. Two endoscopists with experience in magnifying narrow band imaging (NBI), blinded to white-light and non-magnifying NBI findings as well as histopathological diagnosis, independently reviewed and diagnosed all images based on UMEC. In brief, UMEC is divided into three categories: non-neoplasia, intramucosal neoplasia, and deep submucosal invasive cancer. The diagnostic performance of UMEC was assessed while using the gold standard histopathology as a reference. Results A total of 303 gastrointestinal lesions (88 esophageal squamous lesions, 90 gastric lesions, 125 colonic lesions) were assessed. The overall accuracy for both endoscopists in the diagnosis of esophageal squamous cell cancer, gastric cancer, and colorectal cancer were 84.7 %, 89.5 %, and 83.2 %, respectively. The interobserver agreement for each organ, Kappa statistics of 0.51, 0.73, and 0.63, was good. Conclusions UMEC appears to be a simple and practically acceptable classification, particularly to general gastroenterologists, due to its good diagnostic accuracy, and deserves further evaluation in future studies.
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Affiliation(s)
- Haruhiro Inoue
- Digestive Diseases Center, Showa University Koto Toyosu Hospital, Tokyo, Japan
| | | | - Akiko Toshimori
- Digestive Diseases Center, Showa University Koto Toyosu Hospital, Tokyo, Japan
| | - Yusuke Fujiyoshi
- Digestive Diseases Center, Showa University Koto Toyosu Hospital, Tokyo, Japan
| | - Yuto Shimamura
- Digestive Diseases Center, Showa University Koto Toyosu Hospital, Tokyo, Japan
| | - Mayo Tanabe
- Digestive Diseases Center, Showa University Koto Toyosu Hospital, Tokyo, Japan
| | - Yohei Nishikawa
- Digestive Diseases Center, Showa University Koto Toyosu Hospital, Tokyo, Japan
| | - Yuichiro Mochizuki
- Digestive Diseases Center, Showa University Koto Toyosu Hospital, Tokyo, Japan
| | - Takuki Sakaguchi
- Digestive Diseases Center, Showa University Koto Toyosu Hospital, Tokyo, Japan
| | - Ryusuke Kimura
- Digestive Diseases Center, Showa University Koto Toyosu Hospital, Tokyo, Japan
| | - Shinya Izawa
- Digestive Diseases Center, Showa University Koto Toyosu Hospital, Tokyo, Japan
| | - Haruo Ikeda
- Digestive Diseases Center, Showa University Koto Toyosu Hospital, Tokyo, Japan
| | - Manabu Onimaru
- Digestive Diseases Center, Showa University Koto Toyosu Hospital, Tokyo, Japan
| | - Naoyuki Uragami
- Digestive Diseases Center, Showa University Koto Toyosu Hospital, Tokyo, Japan
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33
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Hamada Y, Tanaka K, Katsurahara M, Horiki N, Yamada R, Yamada T, Takei Y. Utility of the narrow-band imaging international colorectal endoscopic classification for optical diagnosis of colorectal polyp histology in clinical practice: a retrospective study. BMC Gastroenterol 2021; 21:336. [PMID: 34454417 PMCID: PMC8401034 DOI: 10.1186/s12876-021-01898-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Accepted: 08/03/2021] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Narrow-band imaging (NBI) highlights the surface structures and vessels of colorectal polyps and is useful for determining the polyp histology. The narrow-band imaging international colorectal endoscopic (NICE) classification is a diagnostic tool for determining colorectal polyp histology based on NBI without optical magnification. In this study, we aimed to investigate the value of each type of the NICE classification for determining colorectal polyp histology using endoscopy data accumulated in a clinical setting. METHODS Endoscopy data for 534 colorectal polyps (316 patients) treated at our facility were retrospectively analyzed. First, we investigated the diagnostic performance of each type of the NICE classification for the optical diagnosis of colorectal polyp histology. The procedures were performed by experienced endoscopists using high-definition colonoscopy without optical magnification. Second, inter-observer and intra-observer agreements were assessed after providing experts and non-experts with a short lecture on the NICE classification. Using 50 fine NBI images of colorectal polyps without optical magnification, the inter-observer and intra-observer agreements between five experts and five non-experts were assessed. RESULTS The sensitivity, specificity, and accuracy values were 86.0%, 99.6%, and 98.5% for NICE type 1 lesions; 99.2%, 85.2%, and 97.8% for NICE type 2 lesions; and 81.8%, 99.6%, and 99.3% for NICE type 3 lesions, respectively. The inter-observer and intra-observer agreements ranged from substantial to excellent for both experts and non-experts. CONCLUSIONS The NICE classification had good diagnostic ability in terms of determining the polyp histology and demonstrated a high level of reproducibility among experts and non-experts. Thus, the NICE classification is a useful clinical tool that can be used without optical magnification.
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Affiliation(s)
- Yasuhiko Hamada
- Department of Gastroenterology and Hepatology, Mie University Hospital, 2-174 Edobashi, Tsu, Mie, 514-8507, Japan.
| | - Kyosuke Tanaka
- Department of Endoscopy, Mie University Hospital, Tsu, Japan
| | | | - Noriyuki Horiki
- Department of Endoscopy, Mie University Hospital, Tsu, Japan
| | - Reiko Yamada
- Department of Gastroenterology and Hepatology, Mie University Hospital, 2-174 Edobashi, Tsu, Mie, 514-8507, Japan
| | - Tomomi Yamada
- Department of Medical Innovation, Osaka University Hospital, Suita, Japan
| | - Yoshiyuki Takei
- Department of Gastroenterology and Hepatology, Mie University Hospital, 2-174 Edobashi, Tsu, Mie, 514-8507, Japan
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Zhou J, Hu N, Huang ZY, Song B, Wu CC, Zeng FX, Wu M. Application of artificial intelligence in gastrointestinal disease: a narrative review. ANNALS OF TRANSLATIONAL MEDICINE 2021; 9:1188. [PMID: 34430629 PMCID: PMC8350704 DOI: 10.21037/atm-21-3001] [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: 05/25/2021] [Accepted: 06/29/2021] [Indexed: 02/05/2023]
Abstract
Objective We collected evidence on the application of artificial intelligence (AI) in gastroenterology field. The review was carried out from two aspects of endoscopic types and gastrointestinal diseases, and briefly summarized the challenges and future directions in this field. Background Due to the advancement of computational power and a surge of available data, a solid foundation has been laid for the growth of AI. Specifically, varied machine learning (ML) techniques have been emerging in endoscopic image analysis. To improve the accuracy and efficiency of clinicians, AI has been widely applied to gastrointestinal endoscopy. Methods PubMed electronic database was searched using the keywords containing “AI”, “ML”, “deep learning (DL)”, “convolution neural network”, “endoscopy (such as white light endoscopy (WLE), narrow band imaging (NBI) endoscopy, magnifying endoscopy with narrow band imaging (ME-NBI), chromoendoscopy, endocytoscopy (EC), and capsule endoscopy (CE))”. Search results were assessed for relevance and then used for detailed discussion. Conclusions This review described the basic knowledge of AI, ML, and DL, and summarizes the application of AI in various endoscopes and gastrointestinal diseases. Finally, the challenges and directions of AI in clinical application were discussed. At present, the application of AI has solved some clinical problems, but more still needs to be done.
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Affiliation(s)
- Jun Zhou
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.,Department of Clinical Research Center, Dazhou Central Hospital, Dazhou, China
| | - Na Hu
- Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Zhi-Yin Huang
- Department of Gastroenterology, West China Hospital, Sichuan University, Chengdu, China
| | - Bin Song
- Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Chun-Cheng Wu
- Department of Gastroenterology, West China Hospital, Sichuan University, Chengdu, China
| | - Fan-Xin Zeng
- Department of Clinical Research Center, Dazhou Central Hospital, Dazhou, China
| | - Min Wu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.,Department of Clinical Research Center, Dazhou Central Hospital, Dazhou, China
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Li K, Fathan MI, Patel K, Zhang T, Zhong C, Bansal A, Rastogi A, Wang JS, Wang G. Colonoscopy polyp detection and classification: Dataset creation and comparative evaluations. PLoS One 2021; 16:e0255809. [PMID: 34403452 PMCID: PMC8370621 DOI: 10.1371/journal.pone.0255809] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Accepted: 07/25/2021] [Indexed: 12/12/2022] Open
Abstract
Colorectal cancer (CRC) is one of the most common types of cancer with a high mortality rate. Colonoscopy is the preferred procedure for CRC screening and has proven to be effective in reducing CRC mortality. Thus, a reliable computer-aided polyp detection and classification system can significantly increase the effectiveness of colonoscopy. In this paper, we create an endoscopic dataset collected from various sources and annotate the ground truth of polyp location and classification results with the help of experienced gastroenterologists. The dataset can serve as a benchmark platform to train and evaluate the machine learning models for polyp classification. We have also compared the performance of eight state-of-the-art deep learning-based object detection models. The results demonstrate that deep CNN models are promising in CRC screening. This work can serve as a baseline for future research in polyp detection and classification.
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Affiliation(s)
- Kaidong Li
- Department of Electrical Engineering and Computer Science, The University of Kansas, Lawrence, KS, United States of America
| | - Mohammad I. Fathan
- Department of Electrical Engineering and Computer Science, The University of Kansas, Lawrence, KS, United States of America
| | - Krushi Patel
- Department of Electrical Engineering and Computer Science, The University of Kansas, Lawrence, KS, United States of America
| | - Tianxiao Zhang
- Department of Electrical Engineering and Computer Science, The University of Kansas, Lawrence, KS, United States of America
| | - Cuncong Zhong
- Department of Electrical Engineering and Computer Science, The University of Kansas, Lawrence, KS, United States of America
| | - Ajay Bansal
- Gastroenterology, Hepatology and Motility, The University of Kansas Medical Center, Kansas City, KS, United States of America
| | - Amit Rastogi
- Gastroenterology, Hepatology and Motility, The University of Kansas Medical Center, Kansas City, KS, United States of America
| | - Jean S. Wang
- Department of Medicine, Washington University School of Medicine, Saint Louis, MO, United States of America
| | - Guanghui Wang
- Department of Computer Science, Ryerson University, Toronto, ON, Canada
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Murakami T, Sakamoto N, Fukushima H, Shibuya T, Yao T, Nagahara A. Usefulness of the Japan narrow-band imaging expert team classification system for the diagnosis of sessile serrated lesion with dysplasia/carcinoma. Surg Endosc 2021; 35:4528-4538. [PMID: 32909209 DOI: 10.1007/s00464-020-07967-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Accepted: 08/27/2020] [Indexed: 01/03/2023]
Abstract
BACKGROUND Sessile serrated lesion (SSL) is a colorectal polyp that has malignant potential. However, the dysplastic components within an SSL can be difficult to diagnose with conventional endoscopy, because most SSLs with dysplasia/carcinoma have subtle mucosal features. Many studies have indicated that narrow-band imaging (NBI) observations of colorectal polyps are very useful, accurate predictors of histology. We aimed to verify the usefulness of the Japan NBI Expert Team (JNET) classification system for the diagnosis of SSLs with dysplasia/carcinoma. METHODS We examined 709 endoscopically or surgically resected lesions that were pathologically diagnosed as SSL, including 647 with no dysplasia, 37 with low-grade dysplasia, 15 with high-grade dysplasia, and 10 with submucosal invasive carcinoma. We retrospectively evaluated their clinicopathologic characteristics and conventional endoscopic and magnifying NBI endoscopic findings using the JNET system. RESULTS Cases in all groups were more frequently located in the proximal colon. Submucosal invasive carcinomas were significantly larger than no dysplasia and low-grade dysplasia lesions. Almost all studied lesions (96.3%) were covered with a mucus cap. Five hundred and eighty (81.8%) lesions exhibited dark spots inside the crypts, which are NBI findings' characteristic of SSL. As for the JNET classification of magnifying NBI endoscopic findings, all 709 lesions showed Type 1. Six hundred and eighteen (95.5%) SSLs with no dysplasia lesions exhibited Type 1 only, whereas 52 (83.9%) SSLs with dysplasia/carcinoma had a combination of Type 1 and Type 2A, 2B, or 3, corresponding to SSL and dysplasia/carcinoma, respectively. The JNET classification had high sensitivity (83.9%), specificity (95.5%), and overall diagnostic accuracy (94.5%) for diagnosing SSLs with dysplasia/carcinoma. CONCLUSIONS Use of magnifying NBI endoscopy with the JNET classification might be useful for diagnosing SSLs with dysplasia/carcinoma. This increased awareness may also improve the recognition of SSLs with dysplasia/carcinoma.
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Affiliation(s)
- Takashi Murakami
- Department of Gastroenterology, Juntendo University School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan.
| | - Naoto Sakamoto
- Department of Gastroenterology, Juntendo University School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Hirofumi Fukushima
- Department of Gastroenterology, Juntendo University School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Tomoyoshi Shibuya
- Department of Gastroenterology, Juntendo University School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Takashi Yao
- Department of Human Pathology, Juntendo University School of Medicine, Tokyo, Japan
| | - Akihito Nagahara
- Department of Gastroenterology, Juntendo University School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
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Liu M, Xie J, Tan C, Ruan X, Wang Z, Luo X, Lin J, Xiang L, Li A, Han Z, Liu S. [Japan narrow-band imaging Expert Team type 2B colorectal cancer: consistency between endoscopic prediction and pathological diagnosis]. NAN FANG YI KE DA XUE XUE BAO = JOURNAL OF SOUTHERN MEDICAL UNIVERSITY 2021; 41:942-946. [PMID: 34238749 DOI: 10.12122/j.issn.1673-4254.2021.06.19] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVE To explore the potential factors that affect the accuracy of endoscopic diagnosis for Japan narrow-band imaging (NBI) Expert Team (JNET) type 2B colorectal lesions. OBJECTIVE The clinical data were collected from 261 patients with JNET type 2B colorectal lesions diagnosed in Nanfang Hospital between July, 2018 and July, 2021. We analyzed the macroscopic type, size, location or pit pattern classification of the lesions for their potential influence of the diagnostic accuracy of JNET type 2B lesions. OBJECTIVE The 261 lesions included 91 low-grade intramucosal neoplasia lesions (34.9%), 132 high-grade intramucosal neoplasia lesions (50.6%), 13 submucosal invasive cancer lesions (5.0%), and 25 deep submucosal invasive cancer lesions (9.6%). The coincidence rate between endoscopic prediction and pathological diagnosis of these lesions was 55.6% (145/ 261). The macroscopic type and size of the lesions were significantly associated with the diagnostic accuracy of JNET type 2B lesions (P < 0.001). There was a significant difference in the diagnostic accuracy among the lesions with different pit pattern types (P < 0.001). OBJECTIVE Both the macroscopic type and size affect the accuracy of endoscopic diagnosis of JNET type 2B colorectal lesions. JNET classification combined with pit pattern types can have better accuracy in predicting the pathological diagnosis of these lesions.
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Affiliation(s)
- M Liu
- Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - J Xie
- First Clinical Medical College of Southern Medical University, Guangzhou 510515, China
| | - C Tan
- Department of Endoscopy, First Hospital of Hunan University of Chinese Medicine, Changsha 410208, China
| | - X Ruan
- Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Z Wang
- Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - X Luo
- Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - J Lin
- Department of Gastroenterology, Longgang District People's Hospital, Shenzhen 518172, China
| | - L Xiang
- Department of Gastroenterology, Longgang District People's Hospital, Shenzhen 518172, China
| | - A Li
- Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Z Han
- Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - S Liu
- Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
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Nakazawa K, Nouda S, Kakimoto K, Kinoshita N, Tanaka Y, Tawa H, Koshiba R, Naka Y, Hirata Y, Ota K, Kawakami K, Takeuchi T, Inoue T, Miyazaki T, Sanomura M, Nakamura S, Saito Y, Higuchi K. The Differential Diagnosis of Colorectal Polyps Using Colon Capsule Endoscopy. Intern Med 2021; 60:1805-1812. [PMID: 33456043 PMCID: PMC8263190 DOI: 10.2169/internalmedicine.6446-20] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Accepted: 11/11/2020] [Indexed: 12/22/2022] Open
Abstract
Objective Although colorectal polyps (CPs) can be observed with colon capsule endoscopy (CCE), it is difficult to determine the type of polyp using CCE. The objective of this study was to differentiate adenomatous polyps (APs) from hyperplastic polyps (HPs) with CCE. Methods In this single-center retrospective study, an analysis was conducted on the same CPs with both CCE and colonoscopy (CS) and histopathologically diagnosed as AP or HP. The color difference (ΔE) between the polyp surface and the surrounding mucosa was calculated using the CIE1976 L*a*b* color space method on white light (WL), flexible spectral imaging color enhancement (FICE), and blue mode (BM) CP images. We investigated the ability of the ratio of the color differences (ΔE') to differentiate between APs and HPs. Results The size of all 51 polyps (34 APs, 17 HPs) was 7.5±4.6 mm with CCE and 7.3±4.2 mm with CS, and this difference was not significant (p=0.28). The FICEΔE' of APs was 3.3±1.8, which was significantly higher than the FICEΔE' of HPs (1.3±0.6; p<0.001). A receiver operating characteristic analysis showed that FICEΔE' was useful for differentiating between APs and HPs, with an area under the curve of 0.928 (95% confidence interval, 0.843-1). The sensitivity was 91.2%, and the specificity was 88.2% with a cut-off value of 1.758. Conclusion Using FICE on CCE images of CPs and applying the CIELAB color space method, we were able to differentiate between APs and HPs with high accuracy. This method has the potential to reduce unnecessary CS procedures.
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Affiliation(s)
- Kei Nakazawa
- 2nd Department of Internal Medicine, Osaka Medical College, Japan
- Endoscopy Division, National Cancer Center Hospital, Japan
| | - Sadaharu Nouda
- 2nd Department of Internal Medicine, Osaka Medical College, Japan
| | - Kazuki Kakimoto
- 2nd Department of Internal Medicine, Osaka Medical College, Japan
| | | | - Yasuyoshi Tanaka
- 2nd Department of Internal Medicine, Osaka Medical College, Japan
| | - Hideki Tawa
- 2nd Department of Internal Medicine, Osaka Medical College, Japan
| | - Ryoji Koshiba
- 2nd Department of Internal Medicine, Osaka Medical College, Japan
| | - Yutaka Naka
- 2nd Department of Internal Medicine, Osaka Medical College, Japan
| | - Yuki Hirata
- 2nd Department of Internal Medicine, Osaka Medical College, Japan
| | - Kazuhiro Ota
- 2nd Department of Internal Medicine, Osaka Medical College, Japan
| | - Ken Kawakami
- 2nd Department of Internal Medicine, Osaka Medical College, Japan
| | | | - Takuya Inoue
- 2nd Department of Internal Medicine, Osaka Medical College, Japan
| | - Takako Miyazaki
- 2nd Department of Internal Medicine, Osaka Medical College, Japan
| | - Makoto Sanomura
- Department of Gastroenterology, Hokusetsu General Hospital, Japan
| | - Shiro Nakamura
- 2nd Department of Internal Medicine, Osaka Medical College, Japan
| | - Yutaka Saito
- Endoscopy Division, National Cancer Center Hospital, Japan
| | - Kazuhide Higuchi
- 2nd Department of Internal Medicine, Osaka Medical College, Japan
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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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Lin XY, Pan D, Sang LX, Chang B. Primary localized gastric amyloidosis: A scoping review of the literature from clinical presentations to prognosis. World J Gastroenterol 2021; 27:1132-1148. [PMID: 33828390 PMCID: PMC8006099 DOI: 10.3748/wjg.v27.i12.1132] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2020] [Revised: 01/10/2021] [Accepted: 02/24/2021] [Indexed: 02/06/2023] Open
Abstract
Localized gastric amyloidosis (LGA) is a rare disease characterized by abnormal extracellular deposition of amyloid protein restricted to the stomach and it is confirmed by positive results of Congo red staining. Over decades, only a few cases have been reported and studies or research focusing on it are few. Although LGA has a low incidence, patients may suffer a lot from it and require proper diagnosis and management. However, the pathology of LGA remains unknown and no overall review of LGA from its presentations to its prognosis has been published. Patients with LGA are often asymptomatic or manifest atypical symptoms, making it difficult to differentiate from other gastrointestinal diseases. Here, we report the case of a 70-year-old woman with LGA and provide an overview of case reports of LGA available to us. Based on that, we conclude current concepts of clinical manifestations, diagnosis, treatment, and prognosis of LGA, aiming at providing a detailed diagnostic procedure for clinicians and promoting the guidelines of LGA. In addition, a few advanced technologies applied in amyloidosis are also discussed in this review, aiming at providing clinicians with a reference of diagnostic process. With this review, we hope to raise awareness of LGA among the public and clinicians.
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Affiliation(s)
- Xin-Yu Lin
- Department of Neurology, The First Hospital of China Medical University, Shenyang 110001, Liaoning Province, China
| | - Dan Pan
- Department of Geriatrics, The First Affiliated Hospital of China Medical University, Shenyang 110001, Liaoning Province, China
| | - Li-Xuan Sang
- Department of Geriatrics, The First Affiliated Hospital of China Medical University, Shenyang 110001, Liaoning Province, China
| | - Bing Chang
- Department of Gastroenterology, The First Hospital of China Medical University, Shenyang 110001, Liaoning Province, China
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Evaluation of blue laser endoscopy for detecting colorectal non-pedunculated adenoma. Arab J Gastroenterol 2021; 22:127-132. [PMID: 33736947 DOI: 10.1016/j.ajg.2020.12.002] [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: 05/10/2020] [Revised: 07/30/2020] [Accepted: 12/28/2020] [Indexed: 11/23/2022]
Abstract
BACKGROUND AND STUDY AIMS Non-pedunculated lesions are easily missed on endoscopy, and histopathological examination shows that some of these lesions are adenomas. Adenoma is a precursor of colorectal cancer, a common tumor of the digestive tract. This study was conducted to compare the detection efficacy of non-pedunculated lesions in the same patient under different modes of blue laser endoscopy and to determine whether the surface pattern of the sample was consistent with its histopathological results. PATIENTS AND METHODS A total of 91 patients with non-pedunculated lesions diagnosed at our hospital between April 2018 and March 2019 were included in this study. White light imaging (WLI), linked color imaging (LCI), and blue laser imaging (BLI) modes were used to record the location, number, and Hiroshima classification of the surface patterns of the non-pedunculated lesions. The lesions were removed by different endoscopic excision methods for histopathological examination; the histopathological results were compared with the surface patterns. RESULTS A total of 105, 198, and 223 lesions were detected using the WLI, BLI, and LCI modes, respectively. The Wilcoxon signed rank test revealed a significant difference in the number of lesions detected using each observation mode (p < 0.01). The non-pedunculated lesions were primarily located in the rectum and transverse colon, followed by the sigmoid, descending, and ascending colon. The efficacy of LCI and BLI modes was better than that of WLI mode for detecting the non-pedunculated lesions measuring < 5 mm in size (p < 0.05). The surface pattern was not detected by the WLI mode. The surface patterns detected using the LCI and BLI modes were primarily types A and B. Histopathological results of the non-pedunculated lesions included inflammatory polyp, hyperplastic polyp, tubular adenoma, and adenoma. Surface patterns could not be detected using the WLI mode. The McNemar's test revealed a significant difference between the WLI mode findings and the histopathological results (p < 0.01). No significant difference was observed between the histopathological results and the surface patterns detected using the LCI mode (kappa = 0.57); the agreement was poor. There was also no significant difference between the histopathological results and the surface patterns detected using the BLI mode (kappa test, p < 0.01; kappa = 0.88); hence, there was good agreement between the surface patterns detected using the BLI mode and the histopathological results. CONCLUSION The detection rate of colorectal non-pedunculated lesions may be improved using blue laser endoscopy. Non-pedunculated colorectal adenomas could be identified more accurately using the BLI mode, which might improve the adenoma detection rate, thus indicating that BLI is a feasible option in the practical settings.
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Ito R, Ikematsu H, Murano T, Shinmura K, Kojima M, Kumahara K, Furue Y, Sunakawa H, Minamide T, Sato D, Yamamoto Y, Takashima K, Yoda Y, Hori K, Yano T. Diagnostic ability of Japan Narrow-Band Imaging Expert Team classification for colorectal lesions by magnifying endoscopy with blue laser imaging versus narrow-band imaging. Endosc Int Open 2021; 9:E271-E277. [PMID: 33553592 PMCID: PMC7857969 DOI: 10.1055/a-1324-3083] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Accepted: 10/19/2020] [Indexed: 02/06/2023] Open
Abstract
Background and study aims The Japan Narrow-band imaging (NBI) Expert Team (JNET) classification was proposed for evaluating colorectal lesions. However, it remains unknown whether the JNET classification can be applied to magnifying endoscopy with image-enhanced endoscopies other than NBI. This study aimed to compare the diagnostic ability of JNET classification by magnifying endoscopy with blue laser imaging (ME-BLI) and with ME-NBI. Patients and methods We retrospectively assessed consecutive patients diagnosed per the JNET classification by ME-BLI (BLI group) or ME-NBI (NBI group) between March 2014 and June 2017. We compared the diagnostic value of JNET classification between the groups with one-to-one propensity score matching. Results Four hundred and seventy-one propensity score-matched pairs of lesions were analyzed. In the BLI and NBI groups, the overall diagnostic accuracies were 92.1 % and 91.7 %, respectively, and those for differentiating between neoplastic and non-neoplastic polyps were 96.6 % and 96.8 %, respectively. The positive predictive value by each JNET classification in BLI vs. NBI group was 90.6 % vs. 96.2 % in Type 1, 94.3 % vs. 94.6 % in Type 2A, 57.7 % vs. 42.3 % in Type 2B, and 100 % vs. 91.7 % in Type 3. The negative predictive value was 97.0 % vs. 96.9 % in Type 1, 88.1 % vs. 82.8 % in Type 2A, 98.0 % vs. 98.2 % in Type 2B, and 98.5 % vs. 98.7 % in Type 3. No statistical difference in the diagnostic results was found between the groups. Conclusions The diagnostic ability of the JNET classification by ME-BLI and ME-NBI was comparable, with the former also applicable for diagnosis of colorectal lesions.
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Affiliation(s)
- Renma Ito
- Department of Gastroenterology and Endoscopy
| | | | | | | | | | | | | | | | | | - Daiki Sato
- Department of Gastroenterology and Endoscopy
| | | | | | - Yusuke Yoda
- Department of Gastroenterology and Endoscopy
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Kim J, Lew HM, Kim JH, Youn S, Faruque HA, Seo AN, Park SY, Chang JH, Kim E, Hwang JY. Forward-Looking Multimodal Endoscopic System Based on Optical Multispectral and High-Frequency Ultrasound Imaging Techniques for Tumor Detection. IEEE TRANSACTIONS ON MEDICAL IMAGING 2021; 40:594-606. [PMID: 33079654 DOI: 10.1109/tmi.2020.3032275] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
We developed a forward-looking (FL) multimodal endoscopic system that offers color, spectral classified, high-frequency ultrasound (HFUS) B-mode, and integrated backscattering coefficient (IBC) images for tumor detection in situ. Examination of tumor distributions from the surface of the colon to deeper inside is essential for determining a treatment plan of cancer. For example, the submucosal invasion depth of tumors in addition to the tumor distributions on the colon surface is used as an indicator of whether the endoscopic dissection would be operated. Thus, we devised the FL multimodal endoscopic system to offer information on the tumor distribution from the surface to deep tissue with high accuracy. This system was evaluated with bilayer gelatin phantoms which have different properties at each layer of the phantom in a lateral direction. After evaluating the system with phantoms, it was employed to characterize forty human colon tissues excised from cancer patients. The proposed system could allow us to obtain highly resolved chemical, anatomical, and macro-molecular information on excised colon tissues including tumors, thus enhancing the detection of tumor distributions from the surface to deep tissue. These results suggest that the FL multimodal endoscopic system could be an innovative screening instrument for quantitative tumor characterization.
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Yamasaki K, Hisabe T, Yao K, Ishihara H, Imamura K, Yasaka T, Tanabe H, Iwashita A, Ueki T. White Opaque Substance, a New Optical Marker on Magnifying Endoscopy: Usefulness in Diagnosing Colorectal Epithelial Neoplasms. Clin Endosc 2021; 54:570-577. [PMID: 33434962 PMCID: PMC8357577 DOI: 10.5946/ce.2020.205] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Accepted: 10/22/2020] [Indexed: 12/28/2022] Open
Abstract
Background/Aims A white substance that is opaque to endoscopic light is sometimes observed in the epithelium during narrowband imaging with magnifying endoscopy of gastric or colorectal epithelial neoplasms. This prospective observational study aimed to determine whether the morphology of the white opaque substance (WOS) allows differential diagnosis between colorectal adenoma and carcinoma.
Methods A consecutive series of patients with colorectal adenomas or early carcinomas who underwent endoscopic resection or surgical excision were studied. The morphology of the WOS was determined based on endoscopic images before the histopathological diagnosis was performed. The primary outcome was the diagnostic performance of an irregular WOS as a marker of colorectal carcinoma.
Results The study analyzed 125 lesions. A total of 33 lesions showed an irregular WOS, and 92 lesions showed a regular WOS. Among the 33 lesions found to show an irregular WOS, 30 were carcinomas. Among the 92 lesions showing a regular WOS, 79 were adenomas. With irregular WOS as a marker of carcinoma, the diagnostic accuracy was 87%, sensitivity was 91%, and specificity was 86%.
Conclusions This study demonstrated the potential usefulness of the morphology of the WOS as a marker for the differential diagnosis between adenoma and carcinoma in cases of colorectal epithelial neoplasms.
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Affiliation(s)
- Kazutomo Yamasaki
- Department of Gastroenterology, Fukuoka University Chikushi Hospital, Fukuoka, Japan
| | - Takashi Hisabe
- Department of Gastroenterology, Fukuoka University Chikushi Hospital, Fukuoka, Japan
| | - Kenshi Yao
- Department of Endoscopy, Fukuoka University Chikushi Hospital, Fukuoka, Japan
| | - Hiroshi Ishihara
- Department of Gastroenterology, Fukuoka University Chikushi Hospital, Fukuoka, Japan
| | - Kentaro Imamura
- Department of Gastroenterology, Fukuoka University Chikushi Hospital, Fukuoka, Japan
| | - Tatsuhisa Yasaka
- Department of Gastroenterology, Fukuoka University Chikushi Hospital, Fukuoka, Japan
| | - Hiroshi Tanabe
- Department of Pathology, Fukuoka University Chikushi Hospital, Fukuoka, Japan
| | - Akinori Iwashita
- Department of Pathology, Fukuoka University Chikushi Hospital, Fukuoka, Japan
| | - Toshiharu Ueki
- Department of Gastroenterology, Fukuoka University Chikushi Hospital, Fukuoka, Japan
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Aoki T, Matsuda K, Mansour DA, Koizumi T, Goto S, Watanabe M, Otsuka K, Murakami M. Narrow-band Imaging Examination of Microvascular Architecture of Subcapsular Hepatic Tumors. J Surg Res 2021; 261:51-57. [PMID: 33412509 DOI: 10.1016/j.jss.2020.12.001] [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: 06/23/2020] [Revised: 11/05/2020] [Accepted: 12/07/2020] [Indexed: 11/24/2022]
Abstract
BACKGROUND Intraoperative ultrasonography is the golden standard method for evaluation of liver tumors during hepatectomy. However, in laparoscopic surgery, accurate assessment of tumors may be difficult, particularly if the lesion is located nearby the liver surface because of the challenges in handling the intraoperative ultrasound and the lack of tactile sensation. In this study, we demonstrate the preliminary results of examining the microvascular architecture of subcapsular hepatic tumors using laparoscopic narrow-band imaging (NBI) to distinguish between malignant and benign tumors. MATERIALS AND METHODS Thirty-five lesions were examined by NBI during laparoscopic hepatectomy for the presence of abnormal microvasculature on the liver surface in relation to hepatic tumors from January 2016 to August 2018. The microvascular findings were correlated with tumor localization and pathological diagnosis. RESULTS The 35 examined nodules included 11 hepatocellular carcinoma, 18 colorectal liver metastasis, and six benign nodules. The mean tumor diameter was 26.3 (3-70) mm, and the distance from the liver surface to the tumor was 0.5 (0-5) mm. Microvessels on the liver surface were clearly visualized by NBI, consistent with malignant tumor localization. The tumors were thoroughly examined for the presence of three pathological microvascular features (enlargement, tortuosity, and heterogeneity). Abnormal microvascular patterns were found in 90.9% of hepatocellular carcinoma and 77.8% of colorectal liver metastasis, whereas neither normal sites nor benign lesions displayed microvascular abnormality. CONCLUSIONS This study suggests that observing the microvessel image on the liver surface by NBI could be useful in tumor localization and differentiation between benign and malignant lesions.
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Affiliation(s)
- Takeshi Aoki
- Division of Gastroenterological and General Surgery, Department of Surgery, School of Medicine, Showa University, Tokyo Japan.
| | - Kazuhiro Matsuda
- Division of Gastroenterological and General Surgery, Department of Surgery, School of Medicine, Showa University, Tokyo Japan
| | - Doaa A Mansour
- General Surgery Department, Cairo University Hospitals, Cairo, Egypt
| | - Tomotake Koizumi
- Division of Gastroenterological and General Surgery, Department of Surgery, School of Medicine, Showa University, Tokyo Japan
| | - Satoru Goto
- Division of Gastroenterological and General Surgery, Department of Surgery, School of Medicine, Showa University, Tokyo Japan
| | - Makoto Watanabe
- Division of Gastroenterological and General Surgery, Department of Surgery, School of Medicine, Showa University, Tokyo Japan
| | - Koji Otsuka
- Division of Gastroenterological and General Surgery, Department of Surgery, School of Medicine, Showa University, Tokyo Japan
| | - Masahiko Murakami
- Division of Gastroenterological and General Surgery, Department of Surgery, School of Medicine, Showa University, Tokyo Japan
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Li JW, Ang TL. Narrow-Band Imaging. ENDOSCOPY IN EARLY GASTROINTESTINAL CANCERS, VOLUME 1 2021:111-119. [DOI: 10.1007/978-981-10-6769-3_13] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/03/2025]
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Costa-Santos MP, Ferreira AO, Mouradides C, Pérez-Cuadrado-Robles E, Yeung R, Garcés-Duran R, Snauwaert C, Dano H, Piessevaux H, Deprez PH. Is Lugol necessary for endoscopic resection of esophageal squamous cell neoplasia? Endosc Int Open 2020; 8:E1471-E1477. [PMID: 33043116 PMCID: PMC7541178 DOI: 10.1055/a-1198-4316] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Accepted: 05/22/2020] [Indexed: 12/27/2022] Open
Abstract
Background and study aims Recent evidence suggests that lugol chromoendoscopy (LCE) and narrow-band imaging (NBI) have comparable sensitivity for detection of superficial esophageal squamous cell carcinoma (SCC). However, LCE is time-consuming and associated with side effects. The aim of this study was to compare the effectiveness of NBI and LCE in defining resection margins of esophageal SCC. Patients and methods This was a retrospective observational cohort study of patients with esophageal SCC and dysplasia who underwent en-bloc resection between 1999 and 2017 at the Cliniques universitaires Saint-Luc, Brussels. Two groups were defined: 1) inspection with NBI only; and 2) inspection with LCE (with or without NBI). The primary endpoint was complete lateral resection rate. Multivariate regression was used to adjust for potential confounders. Results A total of 102 patients with 132 lesions were included. Lesions were inspected with LCE in 52 % (n = 68) and with NBI only in 48 % (n = 64). Lesions 0-IIa were more frequent in the NBI group (37 %) and 0-IIb (60 %) in LCE. Lesion location, size, and histology and resection technique (endoscopic submucosal dissection in 122/132 cases, 92 %) were similar between the groups. The rate of complete lateral resection for invasive carcinoma was 90 % in LCE group and 94 % in NBI group ( P = 0.498) and 65 % and 67 % ( P = 0.813), respectively, for dysplasia complete lateral resection. These results remained non-significant after adjusting for potential confounders. Conclusions Mucosal inspection and delineation of tumors with lugol chromoendoscopy before endoscopic resection of esophageal squamous cell lesions was not associated with increased complete lateral resection rate when compared to NBI.
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Affiliation(s)
| | | | - Christina Mouradides
- Gastroenterology and Hepatology Department, Cliniques universitaires Saint-Luc, Université Catholique de Louvain, Brussels, Belgium
| | - Enrique Pérez-Cuadrado-Robles
- Gastroenterology and Hepatology Department, Cliniques universitaires Saint-Luc, Université Catholique de Louvain, Brussels, Belgium
| | - Ralph Yeung
- Gastroenterology and Hepatology Department, Cliniques universitaires Saint-Luc, Université Catholique de Louvain, Brussels, Belgium
| | - Rodrigo Garcés-Duran
- Gastroenterology and Hepatology Department, Cliniques universitaires Saint-Luc, Université Catholique de Louvain, Brussels, Belgium
| | - Christophe Snauwaert
- Gastroenterology and Hepatology Department, Cliniques universitaires Saint-Luc, Université Catholique de Louvain, Brussels, Belgium
| | - Hélène Dano
- Pathology Department, Cliniques universitaires Saint-Luc, Université Catholique de Louvain, Brussels, Belgium
| | - Hubert Piessevaux
- Gastroenterology and Hepatology Department, Cliniques universitaires Saint-Luc, Université Catholique de Louvain, Brussels, Belgium
| | - Pierre H. Deprez
- Gastroenterology and Hepatology Department, Cliniques universitaires Saint-Luc, Université Catholique de Louvain, Brussels, Belgium
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Sugimoto S, Yabana T, Nomura T, Hayashi S, Okuda N, Temma T, Hashimoto Y, Ito T, Takami M, Oyamada J, Kamei A. Can Non-expert Physicians Use the Japan Narrow-band Imaging Expert Team Classification to Diagnose Colonic Polyps Effectively? JOURNAL OF THE ANUS RECTUM AND COLON 2020; 4:100-107. [PMID: 32743111 PMCID: PMC7390615 DOI: 10.23922/jarc.2019-036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Accepted: 03/11/2020] [Indexed: 11/30/2022]
Abstract
Objectives: In 2014, the Japan narrow-band imaging expert team (JNET) proposed the first unified colorectal narrow-band imaging magnifying classification system, the JNET classification. The clinical usefulness of this system has been well established in JNET member institutions, but its suitability for use by “non-expert physicians” (physicians with no expertise in the use of JNET classification) remains unclear. This study aimed to examine the clinical usefulness of the JNET classification by “non-expert physicians”. Methods: We retrospectively analyzed 852 consecutive patients who underwent screening colonoscopy following a positive fecal occult blood test between January 2017 and May 2018. Endoscopic results from colon polyp diagnosis by physicians who started using the JNET classification (JNET group) were compared with those of physicians who did not (control group). Mann-Whitney U test and Fisher's exact test were used to compare continuous and categorical variables, respectively. Results: The median patient age was 68 years, and the male-to-female ratio was 1:0.84. When no lesions were found, the median withdrawal time was significantly different between groups (JNET group: 12 min; control group: 15 min; P < 0.01). The number of resected adenomas per colonoscopy was significantly higher in the JNET group (1.7) than in the control group (1.2; P < 0.01). Among the resected lesions, 8.9% in the JNET group and 17% in the control group were non-neoplastic lesions that did not require resection (P < 0.01). Conclusions: Colon polyp diagnosis using the JNET classification can reduce unnecessary resection during magnifying colonoscopy when conducted by “non-expert physicians”.
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Affiliation(s)
- Shinya Sugimoto
- Divisions of Gastroenterology, Ise Red Cross Hospital, Ise, Japan
| | - Tadashi Yabana
- Divisions of Pathology, Ise Red Cross Hospital, Ise, Japan
| | - Tatsuma Nomura
- Divisions of Gastroenterology, Ise Red Cross Hospital, Ise, Japan
| | - Satoshi Hayashi
- Divisions of Gastroenterology, Ise Red Cross Hospital, Ise, Japan
| | - Naoko Okuda
- Divisions of Gastroenterology, Ise Red Cross Hospital, Ise, Japan
| | - Taishi Temma
- Divisions of Gastroenterology, Ise Red Cross Hospital, Ise, Japan
| | - Yuki Hashimoto
- Divisions of Gastroenterology, Ise Red Cross Hospital, Ise, Japan
| | - Tatsuya Ito
- Divisions of Gastroenterology, Ise Red Cross Hospital, Ise, Japan
| | - Mayuko Takami
- Divisions of Gastroenterology, Ise Red Cross Hospital, Ise, Japan
| | - Jun Oyamada
- Divisions of Gastroenterology, Ise Red Cross Hospital, Ise, Japan
| | - Akira Kamei
- Divisions of Gastroenterology, Ise Red Cross Hospital, Ise, Japan
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Shibagaki K, Ishimura N, Yuki T, Taniguchi H, Aimi M, Kobayashi K, Kotani S, Yazaki T, Yamashita N, Tamagawa Y, Mishiro T, Ishihara S, Yasuda A, Kinshita Y. Magnification endoscopy in combination with acetic acid enhancement and narrow-band imaging for the accurate diagnosis of colonic neoplasms. Endosc Int Open 2020; 8:E488-E497. [PMID: 32258370 PMCID: PMC7089791 DOI: 10.1055/a-1068-2056] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2019] [Accepted: 10/25/2019] [Indexed: 12/15/2022] Open
Abstract
Background and study aims Magnification endoscopy with narrow-band imaging (NBIME) and NBIME with acetic acid enhancement (A-NBIME) enable visualization of the vascular and microstructural patterns of colorectal polyp. We compared the diagnostic accuracy and reproducibility of white light endoscopy (WLE), NBIME, and A-NBIME for predictive histologic diagnosis. Patients and methods Consecutive colorectal polyps (N = 628; 38 hyperplasias, 488 adenomas, 72 M-SM1 cancers, and 30 SM2 cancers) were photographed with WLE, NBIME, and A-NBIME. Endoscopic images were independently reviewed by three experts, according to the traditional criteria for WLE, the Japan NBI Expert Team classification for NBIME, and pit pattern classification for A-NBIME to compare diagnostic accuracy and interobserver diagnostic agreement among modalities. Results The specificity (95 % confidence interval) of hyperplasia and SM2 cancer with WLE were 98.2 % (96.8 %-99.1%) and 99.4 % (98.5 %-99.9 %), respectively, showing high accuracy for endoscopic resection without magnifying observation. Diagnostic accuracy of WLE, NBIME, and A-NBIME was 80.8 % (77.4 %-83.8 %), 79.3 % (75.9 %-82.4 %), and 86.1 % (83.2 %-88.7 %), respectively, showing the highest accuracy for A-NBIME among modalities ( P < .05). NBIME showed a lower PPV for M-SM1 cancer ( P < .05), as with WLE ( P = .08) compared to A-NBIME. Fleiss's kappa values for WLE, NBIME, and A-NBIME diagnosis were 0.43 (0.39 - 0.46), 0.52 (0.49 - 0.56) and 0.65 (0.62 - 0.69), respectively, showing insufficient reproducibility of WLE and superiority of A-NBIME among modalities. Conclusion WLE showed high accuracy for endoscopic resection of colorectal polyps in expert diagnosis. NBIME demonstrated a higher diagnostic reproducibility than WLE. A-NBIME showed possible superiority among modalities in both diagnostic accuracy and reproducibility.
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Affiliation(s)
- Kotaro Shibagaki
- Department of Endoscopy, Faculty of Medicine, Shimane University, Izumo, Japan,Corresponding author Kotaro Shibagaki, MD, PhD Department of Gastroenterology, Faculty of MedicineShimane University89-1 EnyaIzumoJapan 693-8501+81-85320-2187
| | - Norihisa Ishimura
- Department of Gastroenterology, Faculty of Medicine, Shimane University, Izumo, Japan
| | - Takafumi Yuki
- Division of Gastroenterology, Matsue Red Cross Hospital, Matsue, Japan
| | - Hideaki Taniguchi
- Department of Gastroenterology, Tottori Municipal Hospital, Tottori, Japan
| | - Masahito Aimi
- Department of Gastroenterology, Tottori Municipal Hospital, Tottori, Japan
| | - Keita Kobayashi
- Department of Pathology, Tottori Municipal Hospital, Tottori, Japan
| | - Satoshi Kotani
- Department of Gastroenterology, Faculty of Medicine, Shimane University, Izumo, Japan
| | - Tomotaka Yazaki
- Department of Gastroenterology, Faculty of Medicine, Shimane University, Izumo, Japan
| | - Noritsugu Yamashita
- Department of Gastroenterology, Faculty of Medicine, Shimane University, Izumo, Japan
| | - Yuji Tamagawa
- Department of Gastroenterology, Faculty of Medicine, Shimane University, Izumo, Japan
| | - Tsuyoshi Mishiro
- Department of Gastroenterology, Faculty of Medicine, Shimane University, Izumo, Japan
| | - Shunji Ishihara
- Department of Gastroenterology, Faculty of Medicine, Shimane University, Izumo, Japan
| | - Akira Yasuda
- Department of Medical informatics, Faculty of Medicine, Shimane University, Izumo, Japan
| | - Yoshikazu Kinshita
- Department of Gastroenterology, Faculty of Medicine, Shimane University, Izumo, Japan
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50
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Ozawa T, Ishihara S, Fujishiro M, Kumagai Y, Shichijo S, Tada T. Automated endoscopic detection and classification of colorectal polyps using convolutional neural networks. Therap Adv Gastroenterol 2020; 13:1756284820910659. [PMID: 32231710 PMCID: PMC7092386 DOI: 10.1177/1756284820910659] [Citation(s) in RCA: 74] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2019] [Accepted: 02/12/2020] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Recently the American Society for Gastrointestinal Endoscopy addressed the 'resect and discard' strategy, determining that accurate in vivo differentiation of colorectal polyps (CP) is necessary. Previous studies have suggested a promising application of artificial intelligence (AI), using deep learning in object recognition. Therefore, we aimed to construct an AI system that can accurately detect and classify CP using stored still images during colonoscopy. METHODS We used a deep convolutional neural network (CNN) architecture called Single Shot MultiBox Detector. We trained the CNN using 16,418 images from 4752 CPs and 4013 images of normal colorectums, and subsequently validated the performance of the trained CNN in 7077 colonoscopy images, including 1172 CP images from 309 various types of CP. Diagnostic speed and yields for the detection and classification of CP were evaluated as a measure of performance of the trained CNN. RESULTS The processing time of the CNN was 20 ms per frame. The trained CNN detected 1246 CP with a sensitivity of 92% and a positive predictive value (PPV) of 86%. The sensitivity and PPV were 90% and 83%, respectively, for the white light images, and 97% and 98% for the narrow band images. Among the correctly detected polyps, 83% of the CP were accurately classified through images. Furthermore, 97% of adenomas were precisely identified under the white light imaging. CONCLUSIONS Our CNN showed promise in being able to detect and classify CP through endoscopic images, highlighting its high potential for future application as an AI-based CP diagnosis support system for colonoscopy.
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Affiliation(s)
| | - Soichiro Ishihara
- Tada Tomohiro institute of Gastroenterology and
proctology, Saitama, Japan,Department of Surgical Oncology, Graduate School
of Medicine, The University of Tokyo, Tokyo, Japan
| | - Mitsuhiro Fujishiro
- Department of Gastroenterology, Graduate School
of Medicine, Nagoya University, Nagoya, Japan
| | - Youichi Kumagai
- Department of Digestive Tract and General
Surgery, Saitama Medical Center, Saitama Medical University, Saitama,
Japan
| | - Satoki Shichijo
- Department of Gastrointestinal Oncology, Osaka
International Cancer Institute, Osaka, Japan
| | - Tomohiro Tada
- Tada Tomohiro institute of Gastroenterology and
proctology, Saitama, Japan,Department of Surgical Oncology, Graduate School
of Medicine, The University of Tokyo, Tokyo, Japan,AI medical service Inc., Tokyo, Japan
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