|
1
|
Wesali S, Molinaro A, Lindkvist B, Hedenström P, Sadik R. Endoscopic ultrasound is useful for the risk stratification of mucinous pancreatic cystic lesions: A long-term prospective study. Pancreatology 2025; 25:359-366. [PMID: 39741057 DOI: 10.1016/j.pan.2024.12.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Revised: 11/18/2024] [Accepted: 12/13/2024] [Indexed: 01/02/2025]
Abstract
OBJECTIVES The aims of this prospective observational study were to test worrisome features on endoscopic ultrasound-guided fine-needle aspiration (EUS-FNA) as a stratification tool in patients with mucinous pancreatic cystic lesions (PCLs), and to assess these patients' long-term risk of adenocarcinoma and mortality. METHODS Patients with suspected PCLs on cross-sectional imaging who underwent EUS-FNA at Sahlgrenska University Hospital between February 2007 and February 2018 were consecutively enrolled. The main inclusion criterion was the final diagnosis of a mucinous PCL. The results from EUS-FNA were analyzed in the context of outcome gathered from medical records of follow-up until February 2021. RESULTS Of 334 patients undergoing EUS-FNA, 171 (51 %) had a final diagnosis of a mucinous PCL. 29/171 (17 %) patients were diagnosed with HGD or adenocarcinoma <6 months after EUS-FNA, with 28/29 (97 %) patients having at least one worrisome feature on EUS-FNA. A solid component in mucinous PCLs on EUS was independently associated with the presence of HGD or adenocarcinoma (OR 23.6, 95 % CI 6.1-91.6, p < .001). A total of 4/142 (3 %) patients developed adenocarcinoma during the follow-up period (median = 61.4 months). Overall, in 80/82 (98 %) of the patients without worrisome features on EUS-FNA, HGD or adenocarcinoma was not detected. Six of the 21 (29 %) patients with HGD or adenocarcinoma who underwent surgery as initial management died from pancreatic cancer during follow-up. CONCLUSIONS EUS-FNA is useful for the risk stratification of mucinous PCLs. The low incidence of adenocarcinoma over time after a negative EUS-FNA may allow for a less resource intensive surveillance strategy.
Collapse
Affiliation(s)
- Sahar Wesali
- Department of Gastroenterology and Hepatology, Sahlgrenska University Hospital, Gothenburg, Sweden.
| | - Antonio Molinaro
- Department of Gastroenterology and Hepatology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Björn Lindkvist
- Department of Gastroenterology and Hepatology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Per Hedenström
- Department of Gastroenterology and Hepatology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Riadh Sadik
- Department of Gastroenterology and Hepatology, Sahlgrenska University Hospital, Gothenburg, Sweden
| |
Collapse
|
|
2
|
Zhang L, Diao B, Fan Z, Zhan H. Radiomics for Differentiating Pancreatic Mucinous Cystic Neoplasm from Serous Cystic Neoplasm: Systematic Review and Meta-Analysis. Acad Radiol 2025; 32:2679-2688. [PMID: 39648097 DOI: 10.1016/j.acra.2024.11.047] [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] [Received: 08/29/2024] [Revised: 11/17/2024] [Accepted: 11/17/2024] [Indexed: 12/10/2024]
Abstract
BACKGROUND As pancreatic cystic neoplasms (PCN) differ in current standard of care, and these treatments can affect quality of life to varying degrees, a definitive preoperative diagnosis must be reliable. Current diagnostic approaches, specifically traditional cross-sectional imaging techniques, face certain limitations. But radiomics has been shown to have high diagnostic accuracy across a range of diseases. Objective to conduct a comprehensive review of the literature on the use of radiomics to differentiate Mucinous Cystic Neoplasm (MCN) from Serous Cystic Neoplasm (SCN). METHODS This study was comprehensively searched in Pubmed, Scopus and Web of Science databases for meta-analysis of studies that used radiomics to distinguish MCN from SCN. Risk of bias was assessed using the diagnostic accuracy study quality assessment method and combined with sensitivity, specificity, diagnostic odds ratio, and summary receiver operating characteristic (SROC)curve analysis. RESULTS A total of 884 patients from 8 studies were included in this analysis, including 365 MCN and 519 SCN. The Meta-analysis found that radiomics identified MCN and SCN with high sensitivity and specificity, with combined sensitivity and specificity of 0.84(0.82-0.87) and 0.82(0.79-0.84). The positive likelihood ratio (PLR) and the negative likelihood ratio (NLR) are 5.61(3.72, 8.47) and 0.14(0.09-0.26). In addition, the area under the SROC curve (AUC) was drawn at 0.93. No significant risk of publication bias was detected through the funnel plot analysis. The performances of feature extraction from the volume of interest (VOI) or Using AI classifier in the radiomics models were superior to those of protocols employing region of interest (ROI) or absence of AI classifier. CONCLUSION This meta-analysis demonstrates that radiomics exhibits high sensitivity and specificity in distinguishing between MCN and SCN, and has the potential to become a reliable diagnostic tool for their identification.
Collapse
Affiliation(s)
- Longjia Zhang
- Division of Pancreatic Surgery, Department of General Surgery, Qilu Hospital, Shandong University, Jinan, Shandong Province, China (L.Z., B.D., Z.F., H.Z.)
| | - Boyu Diao
- Division of Pancreatic Surgery, Department of General Surgery, Qilu Hospital, Shandong University, Jinan, Shandong Province, China (L.Z., B.D., Z.F., H.Z.)
| | - Zhiyao Fan
- Division of Pancreatic Surgery, Department of General Surgery, Qilu Hospital, Shandong University, Jinan, Shandong Province, China (L.Z., B.D., Z.F., H.Z.)
| | - Hanxiang Zhan
- Division of Pancreatic Surgery, Department of General Surgery, Qilu Hospital, Shandong University, Jinan, Shandong Province, China (L.Z., B.D., Z.F., H.Z.).
| |
Collapse
|
|
3
|
Zhao H, Xu Q, Gao R, Yin B, Sun G, Xue K, Yang Y, Li E, Zhu L, Feng F, Wu W. Clinical Feasibility of 5.0 T MRI/MRCP in Characterizing Pancreatic Cystic Lesions: Comparison with 3.0 T and MDCT. Diagnostics (Basel) 2024; 14:2457. [PMID: 39518424 PMCID: PMC11545645 DOI: 10.3390/diagnostics14212457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2024] [Revised: 10/28/2024] [Accepted: 10/30/2024] [Indexed: 11/16/2024] Open
Abstract
Objectives: To assess the feasibility of 5.0 T magnetic resonance imaging (MRI) in characterizing pancreatic cystic lesions (PCLs), compared with 3.0 T MRI and multidetector computed tomography (MDCT). Methods: Thirty-five patients with PCLs underwent 5.0 T MR alongside 3.0 T MR or MDCT. Two observers measured subjective and objective image quality scores. The consistency of two observers between 5.0 T and 3.0 T was calculated by intraclass correlation coefficients. The characteristics of PCLs and their specific diagnosis, as well as benignity/malignancy, were evaluated across MDCT, 3.0 T, and 5.0 T MRI. Results: The 5.0 T MR demonstrated significantly higher subjective image quality and SNR on T1WI compared to that in 3.0 T MR (p < 0.05). The 5.0 T MRI identified more cyst lesions than the 3.0 T MRI (40 and 32) and MDCT (82 and 56). The sensitivity, specificity, and accuracy for differentiating benign from malignant lesions with 5.0 T MRI (75%, 100%, and 91.4%, respectively) surpassed those of 3.0 T MRI and MDCT. The accuracy of the specific diagnosis of PCLs at 5.0 T MRI (80%) was superior to 3.0 T MRI and MDCT. Conclusions: 5.0 T MRI exhibits certain superiority in delineating details of PCLs and in clinical diagnostic accuracy, outperforming MDCT and 3.0 T MRI while maintaining sufficient image quality.
Collapse
Affiliation(s)
- Huijia Zhao
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China; (H.Z.); (Q.X.); (R.G.); (B.Y.)
- State Key Laboratory of Complex Severe and Rare Diseases, Beijing 100730, China;
| | - Qiang Xu
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China; (H.Z.); (Q.X.); (R.G.); (B.Y.)
- State Key Laboratory of Complex Severe and Rare Diseases, Beijing 100730, China;
| | - Ruichen Gao
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China; (H.Z.); (Q.X.); (R.G.); (B.Y.)
- State Key Laboratory of Complex Severe and Rare Diseases, Beijing 100730, China;
| | - Bohui Yin
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China; (H.Z.); (Q.X.); (R.G.); (B.Y.)
- State Key Laboratory of Complex Severe and Rare Diseases, Beijing 100730, China;
| | - Gan Sun
- Theranostics and Translational Research Center, National Infrastructures for Translational Medicine, Institute of Clinical Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100730, China;
| | - Ke Xue
- United Imaging Research Institute of Intelligent Imaging, Beijing 100089, China; (K.X.); (Y.Y.); (E.L.)
| | - Yuxin Yang
- United Imaging Research Institute of Intelligent Imaging, Beijing 100089, China; (K.X.); (Y.Y.); (E.L.)
| | - Enhui Li
- United Imaging Research Institute of Intelligent Imaging, Beijing 100089, China; (K.X.); (Y.Y.); (E.L.)
| | - Liang Zhu
- State Key Laboratory of Complex Severe and Rare Diseases, Beijing 100730, China;
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China
| | - Feng Feng
- State Key Laboratory of Complex Severe and Rare Diseases, Beijing 100730, China;
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China
| | - Wenming Wu
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China; (H.Z.); (Q.X.); (R.G.); (B.Y.)
- State Key Laboratory of Complex Severe and Rare Diseases, Beijing 100730, China;
| |
Collapse
|
|
4
|
Li Z, Cao G, Zhang L, Yuan J, Li S, Zhang Z, Wu F, Gao S, Xia J. Feasibility study on the clinical application of CT-based synthetic brain T1-weighted MRI: comparison with conventional T1-weighted MRI. Eur Radiol 2024; 34:5783-5799. [PMID: 38175218 DOI: 10.1007/s00330-023-10534-1] [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: 06/25/2023] [Revised: 11/02/2023] [Accepted: 11/23/2023] [Indexed: 01/05/2024]
Abstract
OBJECTIVES This study aimed to examine the equivalence of computed tomography (CT)-based synthetic T1-weighted imaging (T1WI) to conventional T1WI for the quantitative assessment of brain morphology. MATERIALS AND METHODS This prospective study examined 35 adult patients undergoing brain magnetic resonance imaging (MRI) and CT scans. An image synthesis method based on a deep learning model was used to generate synthetic T1WI (sT1WI) from CT data. Two senior radiologists used sT1WI and conventional T1WI on separate occasions to independently measure clinically relevant brain morphological parameters. The reliability and consistency between conventional and synthetic T1WI were assessed using statistical consistency checks, comprising intra-reader, inter-reader, and inter-method agreement. RESULTS The intra-reader, inter-reader, and inter-method reliability and variability mostly exhibited the desired performance, except for several poor agreements due to measurement differences between the radiologists. All the measurements of sT1WI were equivalent to that of T1WI at 5% equivalent intervals. CONCLUSION This study demonstrated the equivalence of CT-based sT1WI to conventional T1WI for quantitatively assessing brain morphology, thereby providing more information on imaging diagnosis with a single CT scan. CLINICAL RELEVANCE STATEMENT Real-time synthesis of MR images from CT scans reduces the time required to acquire MR signals, improving the efficiency of the treatment planning system and providing benefits in the clinical diagnosis of patients with contraindications such as presence of metal implants or claustrophobia. KEY POINTS • Deep learning-based image synthesis methods generate synthetic T1-weighted imaging from CT scans. • The equivalence of synthetic T1-weighted imaging and conventional MRI for quantitative brain assessment was investigated. • Synthetic T1-weighted imaging can provide more information per scan and be used in preoperative diagnosis and radiotherapy.
Collapse
Affiliation(s)
- Zhaotong Li
- Laboratory of Digital Medicine, Department of Medical Informatics, Medical School of Nantong University, Nantong, China
| | - Gan Cao
- Department of Radiology, Longgang Central Hospital of Shenzhen, Shenzhen, China
| | - Li Zhang
- Department of Radiology, South China Hospital, Health Science Center, Shenzhen University, Shenzhen, People's Republic of China
| | - Jichun Yuan
- Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, Shenzhen, China
| | - Sha Li
- Institute of Medical Technology, Peking University Health Science Center, Beijing, China
| | - Zeru Zhang
- Institute of Medical Technology, Peking University Health Science Center, Beijing, China
| | - Fengliang Wu
- Beijing Key Laboratory of Spinal Disease Research, Engineering Research Center of Bone and Joint Precision Medicine, Department of Orthopedics, Peking University Third Hospital, Beijing, China
| | - Song Gao
- Institute of Medical Technology, Peking University Health Science Center, Beijing, China.
| | - Jun Xia
- Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, Shenzhen, China.
| |
Collapse
|
|
5
|
Șolea SF, Brisc MC, Orășeanu A, Venter FC, Brisc CM, Șolea RM, Davidescu L, Venter A, Brisc C. Revolutionizing the Pancreatic Tumor Diagnosis: Emerging Trends in Imaging Technologies: A Systematic Review. MEDICINA (KAUNAS, LITHUANIA) 2024; 60:695. [PMID: 38792878 PMCID: PMC11122838 DOI: 10.3390/medicina60050695] [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: 03/27/2024] [Revised: 04/19/2024] [Accepted: 04/21/2024] [Indexed: 05/26/2024]
Abstract
Background and Objectives: The pancreas, ensconced within the abdominal cavity, requires a plethora of sophisticated imaging modalities for its comprehensive evaluation, with ultrasonography serving as a primary investigative technique. A myriad of pancreatic pathologies, encompassing pancreatic neoplasia and a spectrum of inflammatory diseases, are detectable through these imaging strategies. Nevertheless, the intricate anatomical confluence and the pancreas's deep-seated topography render the visualization and accurate diagnosis of its pathologies a formidable endeavor. The objective of our paper is to review the best diagnostic imagistic tools for the pancreas. Materials and Methods: we have gathered several articles using Prisma guidelines to determine the best imagistic methods. The imperative of pancreatic scanning transcends its diagnostic utility, proving to be a pivotal element in a multitude of clinical specialties, notably surgical oncology. Within this domain, multidetector computed tomography (MDCT) of the pancreas holds the distinction of being the paramount imaging modality, endorsed for its unrivaled capacity to delineate the staging and progression of pancreatic carcinoma. In synergy with MDCT, there has been a notable advent of avant-garde imaging techniques in recent years. These advanced methodologies, including ultrasonography, endoscopic ultrasonography, contrast-enhanced ultrasonography, and magnetic resonance imaging (MRI) conjoined with magnetic resonance cholangiopancreatography (MRCP), have broadened the horizon of tumor characterization, offering unparalleled depth and precision in oncological assessment. Other emerging diagnostic techniques, such as elastography, also hold a lot of potential and promise for the future of pancreatic imaging. Fine needle aspiration (FNA) is a quick, minimally invasive procedure to evaluate lumps using a thin needle to extract tissue for analysis. It is less invasive than surgical biopsies and usually performed as an outpatient with quick recovery. Its accuracy depends on sample quality, and the risks include minimal bleeding or discomfort. Results, guiding further treatment, are typically available within a week. Elastography is a non-invasive medical imaging technique that maps the elastic properties and stiffness of soft tissue. This method, often used in conjunction with ultrasound or MRI, helps differentiate between hard and soft areas in tissue, providing valuable diagnostic information. It is particularly useful for assessing liver fibrosis, thyroid nodules, breast lumps, and musculoskeletal conditions. The technique is painless and involves applying gentle pressure to the area being examined. The resulting images show tissue stiffness, indicating potential abnormalities. Elastography is advantageous for its ability to detect diseases in early stages and monitor treatment effectiveness. The procedure is quick, safe, and requires no special preparation, with results typically available immediately. Results: The assembled and gathered data shows the efficacy of various techniques in discerning the nature and extent of neoplastic lesions within the pancreas. Conclusions: The most common imaging modalities currently used in diagnosing pancreatic neoplasms are multidetector computed tomography (MDCT), endoscopic ultrasound (EUS), and magnetic resonance imaging (MRI), alongside new technologies, such as elastography.
Collapse
Affiliation(s)
- Sabina Florina Șolea
- Doctoral School of Biological and Biomedical Sciences, University of Oradea, 410087 Oradea, Romania; (S.F.Ș.); (A.O.); (F.C.V.); (R.M.Ș.); (A.V.); (C.B.)
- Bihor Clinical County Emergency Hospital, 410169 Oradea, Romania
| | - Mihaela Cristina Brisc
- Bihor Clinical County Emergency Hospital, 410169 Oradea, Romania
- Department of Medical Disciplines, Faculty of Medicine and Pharmacy, University of Oradea, 410073 Oradea, Romania
| | - Alexandra Orășeanu
- Doctoral School of Biological and Biomedical Sciences, University of Oradea, 410087 Oradea, Romania; (S.F.Ș.); (A.O.); (F.C.V.); (R.M.Ș.); (A.V.); (C.B.)
- Bihor Clinical County Emergency Hospital, 410169 Oradea, Romania
| | - Florian Ciprian Venter
- Doctoral School of Biological and Biomedical Sciences, University of Oradea, 410087 Oradea, Romania; (S.F.Ș.); (A.O.); (F.C.V.); (R.M.Ș.); (A.V.); (C.B.)
- Bihor Clinical County Emergency Hospital, 410169 Oradea, Romania
| | - Ciprian Mihai Brisc
- Faculty of Medicine and Pharmacy, University of Oradea, 410068 Oradea, Romania; (C.M.B.); (L.D.)
| | - Răzvan Mihai Șolea
- Doctoral School of Biological and Biomedical Sciences, University of Oradea, 410087 Oradea, Romania; (S.F.Ș.); (A.O.); (F.C.V.); (R.M.Ș.); (A.V.); (C.B.)
| | - Lavinia Davidescu
- Faculty of Medicine and Pharmacy, University of Oradea, 410068 Oradea, Romania; (C.M.B.); (L.D.)
| | - Amina Venter
- Doctoral School of Biological and Biomedical Sciences, University of Oradea, 410087 Oradea, Romania; (S.F.Ș.); (A.O.); (F.C.V.); (R.M.Ș.); (A.V.); (C.B.)
| | - Ciprian Brisc
- Doctoral School of Biological and Biomedical Sciences, University of Oradea, 410087 Oradea, Romania; (S.F.Ș.); (A.O.); (F.C.V.); (R.M.Ș.); (A.V.); (C.B.)
- Bihor Clinical County Emergency Hospital, 410169 Oradea, Romania
- Department of Medical Disciplines, Faculty of Medicine and Pharmacy, University of Oradea, 410073 Oradea, Romania
- Faculty of Medicine and Pharmacy, University of Oradea, 410068 Oradea, Romania; (C.M.B.); (L.D.)
| |
Collapse
|
|
6
|
Umar H, Mahnur H, Brooke G, Amitabh C. Management of Cystic Neoplasms of the Pancreas. GASTROINTESTINAL ONCOLOGY ‐ A CRITICAL MULTIDISCIPLINARY TEAM APPROACH 2E 2024:438-454. [DOI: 10.1002/9781119756422.ch22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/03/2025]
|
|
7
|
Rawlani P, Ghosh NK, Kumar A. Role of artificial intelligence in the characterization of indeterminate pancreatic head mass and its usefulness in preoperative diagnosis. Artif Intell Gastroenterol 2023; 4:48-63. [DOI: 10.35712/aig.v4.i3.48] [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: 07/27/2023] [Revised: 09/11/2023] [Accepted: 10/08/2023] [Indexed: 12/07/2023] Open
Abstract
Artificial intelligence (AI) has been used in various fields of day-to-day life and its role in medicine is immense. Understanding of oncology has been improved with the introduction of AI which helps in diagnosis, treatment planning, management, prognosis, and follow-up. It also helps to identify high-risk groups who can be subjected to timely screening for early detection of malignant conditions. It is more important in pancreatic cancer as it is one of the major causes of cancer-related deaths worldwide and there are no specific early features (clinical and radiological) for diagnosis. With improvement in imaging modalities (computed tomography, magnetic resonance imaging, endoscopic ultrasound), most often clinicians were being challenged with lesions that were difficult to diagnose with human competence. AI has been used in various other branches of medicine to differentiate such indeterminate lesions including the thyroid gland, breast, lungs, liver, adrenal gland, kidney, etc. In the case of pancreatic cancer, the role of AI has been explored and is still ongoing. This review article will focus on how AI can be used to diagnose pancreatic cancer early or differentiate it from benign pancreatic lesions, therefore, management can be planned at an earlier stage.
Collapse
Affiliation(s)
- Palash Rawlani
- Department of Surgical Gastroenterology, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow 226014, Uttar Pradesh, India
| | - Nalini Kanta Ghosh
- Department of Surgical Gastroenterology, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow 226014, Uttar Pradesh, India
| | - Ashok Kumar
- Department of Surgical Gastroenterology, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow 226014, Uttar Pradesh, India
| |
Collapse
|
|
8
|
Benke M, Zeöld A, Kittel Á, Khamari D, Hritz I, Horváth M, Keczer B, Borka K, Szücs Á, Wiener Z. MiR-200b categorizes patients into pancreas cystic lesion subgroups with different malignant potential. Sci Rep 2023; 13:19820. [PMID: 37963969 PMCID: PMC10646105 DOI: 10.1038/s41598-023-47129-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Accepted: 11/09/2023] [Indexed: 11/16/2023] Open
Abstract
Extracellular vesicles (EV) carry their cargo in a membrane protected form, however, their value in early diagnostics is not well known. Although pancreatic cysts are heterogeneous, they can be clustered into the larger groups of pseudocysts (PC), and serous and mucinous pancreatic cystic neoplasms (S-PCN and M-PCN, respectively). In contrast to PCs and S-PCNs, M-PCNs may progress to malignant pancreatic cancers. Since current diagnostic tools do not meet the criteria of high sensitivity and specificity, novel methods are urgently needed to differentiate M-PCNs from other cysts. We show that cyst fluid is a rich source of EVs that are positive and negative for the EV markers CD63 and CD81, respectively. Whereas we found no difference in the EV number when comparing M-PCN with other pancreatic cysts, our EV-based biomarker identification showed that EVs from M-PCNs had a higher level of miR-200b. We also prove that not only EV-derived, but also total cyst fluid miR-200b discriminates patients with M-PCN from other pancreatic cysts with a higher sensitivity and specificity compared to other diagnostic methods, providing the possibility for clinical applications. Our results show that measuring miR-200b in cyst fluid-derived EVs or from cyst fluid may be clinically important in categorizing patients.
Collapse
Affiliation(s)
- Márton Benke
- Department of Surgery, Transplantation and Gastroenterology, Semmelweis University, Budapest, Hungary
| | - Anikó Zeöld
- Department of Genetics, Cell and Immunobiology, Semmelweis University, Budapest, Hungary
| | - Ágnes Kittel
- Department of Genetics, Cell and Immunobiology, Semmelweis University, Budapest, Hungary
- HUN-REN Institute of Experimental Medicine, Budapest, Hungary
| | - Delaram Khamari
- Department of Genetics, Cell and Immunobiology, and HUN-REN-SU Translational Extracellular Vesicle Research Group, Semmelweis University, Budapest, Hungary
| | - István Hritz
- Department of Surgery, Transplantation and Gastroenterology, Semmelweis University, Budapest, Hungary
| | - Miklós Horváth
- Department of Surgery, Transplantation and Gastroenterology, Semmelweis University, Budapest, Hungary
| | - Bánk Keczer
- Department of Surgery, Transplantation and Gastroenterology, Semmelweis University, Budapest, Hungary
| | - Katalin Borka
- Department of Pathology, Forensic and Insurance Medicine, Semmelweis University, Budapest, Hungary
| | - Ákos Szücs
- Department of Surgery, Transplantation and Gastroenterology, Semmelweis University, Budapest, Hungary.
| | - Zoltán Wiener
- Department of Genetics, Cell and Immunobiology, Semmelweis University, Budapest, Hungary.
| |
Collapse
|
|
9
|
Koh S, Lee NK, Kim S, Hong SB, Kim DU, Han SY. The efficacy of low-dose CT with deep learning image reconstruction in the surveillance of incidentally detected pancreatic cystic lesions. Abdom Radiol (NY) 2023; 48:2585-2595. [PMID: 37204510 DOI: 10.1007/s00261-023-03958-2] [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] [Received: 03/03/2023] [Revised: 05/11/2023] [Accepted: 05/12/2023] [Indexed: 05/20/2023]
Abstract
PURPOSE To evaluate the efficacy of low-dose CT (LDCT) with deep learning image reconstruction (DLIR) for the surveillance of pancreatic cystic lesions (PCLs) compared with standard-dose CT (SDCT) with adaptive statistical iterative reconstruction (ASIR-V). METHODS The study enrolled 103 patients who underwent pancreatic CT for follow-up of incidentally detected PCLs. The CT protocol included LDCT in the pancreatic phase with 40% ASIR-V, DLIR at medium (DLIR-M) and high levels (DLIR-H), and SDCT in the portal-venous phase with 40% ASIR-V. The overall image quality and conspicuity of PCLs were qualitatively assessed using five-point scales by two radiologists. The size of PCLs, presence of thickened/enhancing walls, enhancing mural nodules, and main pancreatic duct dilatation were reviewed. CT noise and cyst-to-pancreas contrast-to-noise ratio (CNR) were measured. Qualitative and quantitative parameters were analyzed using the chi-squared test, one-way ANOVA, and t-test. Additionally, interobserver agreement was analyzed using the kappa and weighted-kappa statistics. RESULTS The volume CT dose-indexes in LDCT and SDCT were 3.0 ± 0.6 mGy and 8.4 ± 2.9 mGy, respectively. LDCT with DLIR-H showed the highest overall image quality, the lowest noise, and the highest CNR. The PCL conspicuity in LDCT with either DLIR-M or DLIR-H was not significantly different from that in SDCT with ASIR-V. Other findings depicting PCLs also revealed no significant differences between LDCT with DLIR and SDCT with ASIR-V. Moreover, the results revealed good or excellent interobserver agreement. CONCLUSION LDCT with DLIR has a comparable performance with SDCT for the follow-up of incidentally detected PCLs.
Collapse
Affiliation(s)
- Sungho Koh
- Department of Radiology, Biomedical Research Institute, Pusan National University Hospital, and Pusan National University School of Medicine, Pusan National University, #179, Gudeok-Ro, Seo-Gu, Busan, 49241, Republic of Korea
| | - Nam Kyung Lee
- Department of Radiology, Biomedical Research Institute, Pusan National University Hospital, and Pusan National University School of Medicine, Pusan National University, #179, Gudeok-Ro, Seo-Gu, Busan, 49241, Republic of Korea.
| | - Suk Kim
- Department of Radiology, Biomedical Research Institute, Pusan National University Hospital, and Pusan National University School of Medicine, Pusan National University, #179, Gudeok-Ro, Seo-Gu, Busan, 49241, Republic of Korea
| | - Seung Baek Hong
- Department of Radiology, Biomedical Research Institute, Pusan National University Hospital, and Pusan National University School of Medicine, Pusan National University, #179, Gudeok-Ro, Seo-Gu, Busan, 49241, Republic of Korea
| | - Dong Uk Kim
- Department of Internal Medicine, Biomedical Research Institute, Pusan National University Hospital, and Pusan National University School of Medicine, Pusan National University, Busan, Republic of Korea
| | - Sung Yong Han
- Department of Internal Medicine, Biomedical Research Institute, Pusan National University Hospital, and Pusan National University School of Medicine, Pusan National University, Busan, Republic of Korea
| |
Collapse
|
|
10
|
Megibow AJ. Pancreatic Cysts: Radiology. Gastrointest Endosc Clin N Am 2023; 33:519-531. [PMID: 37245933 DOI: 10.1016/j.giec.2023.03.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/30/2023]
Abstract
This article reviews the types of pancreatic cysts encountered in Radiologic practice. It summarizes the malignancy risk of each of the following: serous cystadenoma, mucinous cystic tumor, intraductal papillary mucinous neoplasm main duct and side branch, and some miscellaneous cysts such as neuroendocrine tumor and solid pseudopapillary epithelial neoplasm. Specific reporting recommendations are given. The choice between radiology follow-up versus endoscopic analysis is discussed.
Collapse
Affiliation(s)
- Alec J Megibow
- Department of Radiology, NYU-Langone Health, 550 1st Avenue, Room HCC 232, New York, NY 10016, USA.
| |
Collapse
|
|
11
|
Vieira RMF, Souza Junior ASD, Kerche LE. CYSTIC PANCREATIC LESIONS: IMAGING VERSUS ANATOMOPATHOLOGICAL FINDINGS-HOW TO IMPROVE DIAGNOSTIC ACCURACY? ARQUIVOS BRASILEIROS DE CIRURGIA DIGESTIVA : ABCD = BRAZILIAN ARCHIVES OF DIGESTIVE SURGERY 2023; 36:e1735. [PMID: 37255104 DOI: 10.1590/0102-672020230017e1735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Accepted: 01/15/2023] [Indexed: 06/01/2023]
Abstract
BACKGROUND Pancreatic cystic lesions are a group of pancreatic neoplasms with different behavior and risk of malignancy. Imaging diagnosis and differentiation of these lesions remain a challenge. AIMS The aim of this study was to evaluate the agreement between computed tomography and/or magnetic resonance imaging and post-operative pathologic diagnoses of Pancreatic cystic lesions in a University Hospital of São Paulo State. METHODS A total of 39 patients with surgically diagnosed Pancreatic cystic lesions were enrolled, as a study cohort from 2009 to 2019. Preoperative radiological and final pathological diagnosis was correlated to measure computed tomography and/or magnetic resonance imaging diagnostic. Pancreatic adenocarcinoma, choledochal pancreatic cyst, mucinous cystadenoma, serous cystadenoma, intraductal papillary mucinous neoplasms, and pancreatic pseudocyst were classified as neoplastic cysts. RESULTS It was noted that 27 patients (69.23%) had preoperative computed tomography and magnetic resonance imaging, 11 patients (28.20%) had preoperative computed tomography only, and 1 patient had preoperative magnetic resonance imaging only. The values for diagnoses made only with computed tomography (p=0.47) and from the combination of computed tomography+magnetic resonance imaging (p=0.50) did also point to moderate agreement with the anatomopathological findings. The values pointed to a fair agreement for the diagnosis of mucinous cystadenoma (p=0.3), moderate agreement for intraductal papillary mucinous neoplasms (p= 0.41), good agreement for serous cystadenoma (p=0.79), and excellent agreement for choledochal pancreatic cyst (p=1), pancreatic pseudocyst (p=0.84), and Frantz tumor (p=1) (p<0.05). CONCLUSIONS The findings of computed tomography and/or magnetic resonance imaging have an equivalent diagnostic agreement with an anatomopathological diagnosis for differentiating benign from malignant Pancreatic cystic lesions and in suggesting a specific diagnosis. There is no statistical difference between the use of computed tomography alone and computed tomography+magnetic resonance imaging in the improvement of diagnostic accuracy.
Collapse
Affiliation(s)
- Rafael Mello Fontolan Vieira
- Cancer Regional Hospital, Hepatobiliopancreatic Oncological Digestive Surgery - Presidente Prudente (SP), Brazil
| | | | - Leandra Ernst Kerche
- Faculty of Medicine of Oeste Paulista, Functional Sciences Department - Presidente Prudente (SP), Brazil
| |
Collapse
|
|
12
|
Singh RR, Gopakumar H, Sharma NR. Diagnosis and Management of Pancreatic Cysts: A Comprehensive Review of the Literature. Diagnostics (Basel) 2023; 13:diagnostics13030550. [PMID: 36766654 PMCID: PMC9914101 DOI: 10.3390/diagnostics13030550] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 01/20/2023] [Accepted: 01/23/2023] [Indexed: 02/05/2023] Open
Abstract
The prevalence of pancreatic cysts has been rising due to the widespread use of cross-sectional imaging (CT scan and MRI) of the abdomen. While most pancreatic cysts are benign and do not require treatment or surveillance, a significant minority are premalignant and rarely malignant. The risk stratification of these lesions is not straightforward, and individual risk assessment, cyst size, distribution, and alarming morphologic features (when present) can guide the next steps in management. Neoplastic pancreatic cysts are mucinous or non-mucinous. Endoscopic ultrasound with fine-needle aspiration is often required to classify pancreatic cysts into mucinous and non-mucinous cysts and to assess the malignant potential. Advances in endoscopic techniques (confocal laser endomicroscopy, microforceps biopsy) can provide a definitive diagnosis of pancreatic cysts in some cases; however, the use of these techniques involves a higher risk of adverse events.
Collapse
Affiliation(s)
- Ritu R. Singh
- Parkview Cancer Institute (PCI), Parkview Regional Medical Center, Fort Wayne, IN 46845, USA
- Department of Medicine, Indiana University School of Medicine, Fort Wayne, IN 46805, USA
| | - Harishankar Gopakumar
- Division of Gastroenterology and Hepatology, University of Illinois College of Medicine, Peoria, IL 61656, USA
| | - Neil R. Sharma
- Parkview Cancer Institute (PCI), Parkview Regional Medical Center, Fort Wayne, IN 46845, USA
- Department of Medicine, Indiana University School of Medicine, Fort Wayne, IN 46805, USA
- Correspondence:
| |
Collapse
|
|
13
|
Granata V, Fusco R, Setola SV, Galdiero R, Maggialetti N, Silvestro L, De Bellis M, Di Girolamo E, Grazzini G, Chiti G, Brunese MC, Belli A, Patrone R, Palaia R, Avallone A, Petrillo A, Izzo F. Risk Assessment and Pancreatic Cancer: Diagnostic Management and Artificial Intelligence. Cancers (Basel) 2023; 15:351. [PMID: 36672301 PMCID: PMC9857317 DOI: 10.3390/cancers15020351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 12/30/2022] [Accepted: 01/03/2023] [Indexed: 01/06/2023] Open
Abstract
Pancreatic cancer (PC) is one of the deadliest cancers, and it is responsible for a number of deaths almost equal to its incidence. The high mortality rate is correlated with several explanations; the main one is the late disease stage at which the majority of patients are diagnosed. Since surgical resection has been recognised as the only curative treatment, a PC diagnosis at the initial stage is believed the main tool to improve survival. Therefore, patient stratification according to familial and genetic risk and the creation of screening protocol by using minimally invasive diagnostic tools would be appropriate. Pancreatic cystic neoplasms (PCNs) are subsets of lesions which deserve special management to avoid overtreatment. The current PC screening programs are based on the annual employment of magnetic resonance imaging with cholangiopancreatography sequences (MR/MRCP) and/or endoscopic ultrasonography (EUS). For patients unfit for MRI, computed tomography (CT) could be proposed, although CT results in lower detection rates, compared to MRI, for small lesions. The actual major limit is the incapacity to detect and characterize the pancreatic intraepithelial neoplasia (PanIN) by EUS and MR/MRCP. The possibility of utilizing artificial intelligence models to evaluate higher-risk patients could favour the diagnosis of these entities, although more data are needed to support the real utility of these applications in the field of screening. For these motives, it would be appropriate to realize screening programs in research settings.
Collapse
Affiliation(s)
- Vincenza Granata
- Division of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale—IRCCS di Napoli, 80131 Naples, Italy
| | - Roberta Fusco
- Medical Oncology Division, Igea SpA, 41012 Napoli, Italy
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, Via della Signora 2, 20122 Milan, Italy
| | - Sergio Venanzio Setola
- Division of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale—IRCCS di Napoli, 80131 Naples, Italy
| | - Roberta Galdiero
- Division of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale—IRCCS di Napoli, 80131 Naples, Italy
| | - Nicola Maggialetti
- Department of Medical Science, Neuroscience and Sensory Organs (DSMBNOS), University of Bari “Aldo Moro”, 70124 Bari, Italy
| | - Lucrezia Silvestro
- Division of Clinical Experimental Oncology Abdomen, Istituto Nazionale Tumori IRCCS Fondazione Pascale—IRCCS di Napoli, 80131 Naples, Italy
| | - Mario De Bellis
- Division of Gastroenterology and Digestive Endoscopy, Istituto Nazionale Tumori IRCCS Fondazione Pascale—IRCCS di Napoli, 80131 Naples, Italy
| | - Elena Di Girolamo
- Division of Gastroenterology and Digestive Endoscopy, Istituto Nazionale Tumori IRCCS Fondazione Pascale—IRCCS di Napoli, 80131 Naples, Italy
| | - Giulia Grazzini
- Department of Emergency Radiology, University Hospital Careggi, Largo Brambilla 3, 50134 Florence, Italy
| | - Giuditta Chiti
- Department of Emergency Radiology, University Hospital Careggi, Largo Brambilla 3, 50134 Florence, Italy
| | - Maria Chiara Brunese
- Diagnostic Imaging Section, Department of Medical and Surgical Sciences & Neurosciences, University of Molise, 86100 Campobasso, Italy
| | - Andrea Belli
- Division of Epatobiliary Surgical Oncology, Istituto Nazionale Tumori IRCCS Fondazione Pascale—IRCCS di Napoli, 80131 Naples, Italy
| | - Renato Patrone
- Division of Epatobiliary Surgical Oncology, Istituto Nazionale Tumori IRCCS Fondazione Pascale—IRCCS di Napoli, 80131 Naples, Italy
| | - Raffaele Palaia
- Division of Epatobiliary Surgical Oncology, Istituto Nazionale Tumori IRCCS Fondazione Pascale—IRCCS di Napoli, 80131 Naples, Italy
| | - Antonio Avallone
- Division of Clinical Experimental Oncology Abdomen, Istituto Nazionale Tumori IRCCS Fondazione Pascale—IRCCS di Napoli, 80131 Naples, Italy
| | - Antonella Petrillo
- Division of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale—IRCCS di Napoli, 80131 Naples, Italy
| | - Francesco Izzo
- Division of Epatobiliary Surgical Oncology, Istituto Nazionale Tumori IRCCS Fondazione Pascale—IRCCS di Napoli, 80131 Naples, Italy
| |
Collapse
|
|
14
|
Dong Z, Chen X, Cheng Z, Luo Y, He M, Chen T, Zhang Z, Qian X, Chen W. Differential diagnosis of pancreatic cystic neoplasms through a radiomics-assisted system. Front Oncol 2022; 12:941744. [PMID: 36591475 PMCID: PMC9802410 DOI: 10.3389/fonc.2022.941744] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 11/21/2022] [Indexed: 12/23/2022] Open
Abstract
Pancreatic cystic neoplasms (PCNs) are a group of heterogeneous diseases with distinct prognosis. Existing differential diagnosis methods require invasive biopsy or prolonged monitoring. We sought to develop an inexpensive, non-invasive differential diagnosis system for PCNs based on radiomics features and clinical characteristics for a higher total PCN screening rate. We retrospectively analyzed computed tomography images and clinical data from 129 patients with PCN, including 47 patients with intraductal papillary mucinous neoplasms (IPMNs), 49 patients with serous cystadenomas (SCNs), and 33 patients with mucinous cystic neoplasms (MCNs). Six clinical characteristics and 944 radiomics features were tested, and nine features were finally selected for model construction using DXScore algorithm. A five-fold cross-validation algorithm and a test group were applied to verify the results. In the five-fold cross-validation section, the AUC value of our model was 0.8687, and the total accuracy rate was 74.23%, wherein the accuracy rates of IPMNs, SCNs, and MCNs were 74.26%, 78.37%, and 68.00%, respectively. In the test group, the AUC value was 0.8462 and the total accuracy rate was 73.61%. In conclusion, our research constructed an end-to-end powerful PCN differential diagnosis system based on radiomics method, which could assist decision-making in clinical practice.
Collapse
Affiliation(s)
- Zhenglin Dong
- Department of Biliary-Pancreatic Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China,Department of orthopedics, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiahan Chen
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Zhaorui Cheng
- Department of Rheumatology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yuanbo Luo
- Department of Otorhinolaryngology, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Min He
- Department of Biliary-Pancreatic Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Tao Chen
- Department of Biliary-Pancreatic Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Zijie Zhang
- Department of Biliary-Pancreatic Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China,Department of Liver Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China,*Correspondence: Zijie Zhang, ; Xiaohua Qian, ; Wei Chen,
| | - Xiaohua Qian
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China,*Correspondence: Zijie Zhang, ; Xiaohua Qian, ; Wei Chen,
| | - Wei Chen
- Department of Biliary-Pancreatic Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China,*Correspondence: Zijie Zhang, ; Xiaohua Qian, ; Wei Chen,
| |
Collapse
|
|
15
|
Alwahbi O, Ghumman Z, van der Pol CB, Patlas M, Gopee-Ramanan P. Pancreatic Cystic Lesions: Review of the Current State of Diagnosis and Surveillance. Can Assoc Radiol J 2022:8465371221130524. [PMID: 36220377 DOI: 10.1177/08465371221130524] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Pancreatic cystic lesions (PCLs) are both common and often incidental. These encompass a range of pathologies with varying degrees of concern for malignancy. Although establishing a diagnosis is helpful for determining malignant potential, many PCLs are either too small to characterize or demonstrate nonspecific morphologic features. The most salient modalities involved in diagnosis and surveillance are magnetic resonance imaging, multidetector computerized tomography, and endoscopic ultrasound. Fine needle aspiration has a role in conjunction with molecular markers as a diagnostic tool, particularly for identifying malignant lesions. Although several major consensus guidelines exist internationally, there remains uncertainty in establishing the strength of the association between all PCLs and pancreatic adenocarcinoma, and in showing a benefit from extended periods of imaging surveillance. No consensus exists between the major guidelines, particularly regarding surveillance duration, frequency, or endpoints. This review paper discusses PCL subtypes, diagnosis, and compares the major consensus guidelines with considerations for local adaptability along with questions regarding current and future priorities for research.
Collapse
Affiliation(s)
- Omar Alwahbi
- Department of Radiology, 62703McMaster University Health Sciences Centre (HSC - 3N26), Hamilton, ON, Canada
| | - Zonia Ghumman
- Department of Radiology, 62703McMaster University Health Sciences Centre (HSC - 3N26), Hamilton, ON, Canada.,Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, Hamilton, ON, Canada
| | - Christian B van der Pol
- Department of Radiology, 62703McMaster University Health Sciences Centre (HSC - 3N26), Hamilton, ON, Canada.,Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, Hamilton, ON, Canada
| | - Michael Patlas
- Department of Radiology, 62703McMaster University Health Sciences Centre (HSC - 3N26), Hamilton, ON, Canada.,Hamilton General Hospital, Hamilton Health Sciences, Hamilton, ON, Canada
| | - Prasaanthan Gopee-Ramanan
- Department of Radiology, 62703McMaster University Health Sciences Centre (HSC - 3N26), Hamilton, ON, Canada.,Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, Hamilton, ON, Canada
| |
Collapse
|
|
16
|
Lee SW, Shim SR, Jeong SY, Kim SJ. Comparison of Preoperative Imaging Modalities for the Assessment of Malignant Potential of Pancreatic Cystic Lesions: A Network Meta-analysis. Clin Nucl Med 2022; 47:849-855. [PMID: 35713890 DOI: 10.1097/rlu.0000000000004323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
PURPOSE The aims of this study are to compare the performance of various preoperative imaging modalities for assessing the malignant potential of pancreatic cystic lesions (PCLs) through a network meta-analysis (NMA) and to clarify the role of 18 F-FDG PET in the management of patients with PCL. METHODS PubMed, EMBASE, and Cochrane Library were searched for the studies evaluating the performance of preoperative imaging modalities for identifying malignant PCLs. The NMA was performed for 4 representative categories of various imaging modalities in terms of diagnostic performance for differentiating malignant from benign PCL and intraductal papillary mucinous neoplasms only as a subgroup analysis. To calculate the probability of each imaging modality being the most effective diagnostic method, the surface under the cumulative ranking curve values were obtained. RESULTS A total of 1018 patients from 17 direct comparison studies using 2 or more preoperative imaging modalities were included for differentiating malignant from benign PCL. The positive predictive value (PPV) and accuracy of 18 F-FDG PET were significantly higher than that of CT (PPV: odds ratio [OR], 2.66; 95% credible interval [CrI], 1.21-6.17; accuracy: OR, 2.63; 95% CrI, 1.41-5.38) or MRI (PPV: OR, 2.50; 95% CrI, 1.09-6.26; accuracy: OR, 2.50; 95% CrI, 1.28-5.47) in all PCLs, as well as in the subgroup analysis for intraductal papillary mucinous neoplasm only. 18 F-FDG PET showed the highest surface under the cumulative ranking curve values in all diagnostic performance areas of sensitivity, specificity, PPV, negative predictive value, and accuracy, followed by MRI or CT. CONCLUSIONS The results from this NMA suggest that 18 F-FDG PET is the best preoperative imaging modality for differentiating malignant from benign PCLs and that it can be used for the preoperative evaluation of PCLs.
Collapse
Affiliation(s)
- Sang-Woo Lee
- From the Department of Nuclear Medicine, School of Medicine and Chilgok Hospital, Kyungpook National University, Daegu
| | - Sung Ryul Shim
- Department of Health and Medical Informatics, Kyungnam University College of Health Sciences, Changwon
| | - Shin Young Jeong
- From the Department of Nuclear Medicine, School of Medicine and Chilgok Hospital, Kyungpook National University, Daegu
| | | |
Collapse
|
|
17
|
Anta JA, Martínez-Ballestero I, Eiroa D, García J, Rodríguez-Comas J. Artificial intelligence for the detection of pancreatic lesions. Int J Comput Assist Radiol Surg 2022; 17:1855-1865. [PMID: 35951286 DOI: 10.1007/s11548-022-02706-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 06/17/2022] [Indexed: 11/30/2022]
Abstract
PURPOSE Pancreatic cancer is one of the most lethal neoplasms among common cancers worldwide, and PCLs are well-known precursors of this type of cancer. Artificial intelligence (AI) could help to improve and speed up the detection and classification of pancreatic lesions. The aim of this review is to summarize the articles addressing the diagnostic yield of artificial intelligence applied to medical imaging (computed tomography [CT] and/or magnetic resonance [MR]) for the detection of pancreatic cancer and pancreatic cystic lesions. METHODS We performed a comprehensive literature search using PubMed, EMBASE, and Scopus (from January 2010 to April 2021) to identify full articles evaluating the diagnostic accuracy of AI-based methods processing CT or MR images to detect pancreatic ductal adenocarcinoma (PDAC) or pancreatic cystic lesions (PCLs). RESULTS We found 20 studies meeting our inclusion criteria. Most of the AI-based systems used were convolutional neural networks. Ten studies addressed the use of AI to detect PDAC, eight studies aimed to detect and classify PCLs, and 4 aimed to predict the presence of high-grade dysplasia or cancer. CONCLUSION AI techniques have shown to be a promising tool which is expected to be helpful for most radiologists' tasks. However, methodologic concerns must be addressed, and prospective clinical studies should be carried out before implementation in clinical practice.
Collapse
Affiliation(s)
- Julia Arribas Anta
- Scientific and Technical Department, Sycai Technologies S.L., Carrer Roc Boronat 117, MediaTIC Building, 08018, Barcelona, Spain.,Department of Gastroenterology, University Hospital, 12 Octubre. Av. de Córdoba, s/n, 28041, Madrid, Spain
| | - Iván Martínez-Ballestero
- Scientific and Technical Department, Sycai Technologies S.L., Carrer Roc Boronat 117, MediaTIC Building, 08018, Barcelona, Spain
| | - Daniel Eiroa
- Scientific and Technical Department, Sycai Technologies S.L., Carrer Roc Boronat 117, MediaTIC Building, 08018, Barcelona, Spain.,Department of Radiology, Institut de Diagnòstic per la Imatge (IDI), Hospital Universitari Vall d'Hebrón, Passeig de la Vall d'Hebron, 119-129, 08035, Barcelona, Spain
| | - Javier García
- Scientific and Technical Department, Sycai Technologies S.L., Carrer Roc Boronat 117, MediaTIC Building, 08018, Barcelona, Spain
| | - Júlia Rodríguez-Comas
- Scientific and Technical Department, Sycai Technologies S.L., Carrer Roc Boronat 117, MediaTIC Building, 08018, Barcelona, Spain.
| |
Collapse
|
|
18
|
Ebrahimian S, Singh R, Netaji A, Madhusudhan KS, Homayounieh F, Primak A, Lades F, Saini S, Kalra MK, Sharma S. Characterization of Benign and Malignant Pancreatic Lesions with DECT Quantitative Metrics and Radiomics. Acad Radiol 2022; 29:705-713. [PMID: 34412944 DOI: 10.1016/j.acra.2021.07.008] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Revised: 07/07/2021] [Accepted: 07/14/2021] [Indexed: 12/24/2022]
Abstract
RATIONALE AND OBJECTIVES To compare dual energy CT (DECT) quantitative metrics and radiomics for differentiating benign and malignant pancreatic lesions on contrast enhanced abdomen CT. MATERIALS AND METHODS Our study included 103 patients who underwent contrast-enhanced DECT for assessing focal pancreatic lesions at one of the two hospitals (Site A: age 68 ± 12 yrs; malignant = 41, benign = 18; Site B: age 46 ± 2 yrs; malignant = 23, benign = 21). All malignant lesions had histologic confirmation, and benign lesions were stable on follow up CT (>12 months) or had characteristic benign features on MRI. Arterial-phase, low- and high-kV DICOM images were processed with the DECT Tumor Analysis (DETA) to obtain DECT quantitative metrics such as HU, iodine and water content from a region of interest (ROI) over focal pancreatic lesions. Separately, we obtained DECT radiomics from the same ROI. Data were analyzed with multiple logistic regression and receiver operating characteristics to generate area under the curve (AUC) for best predictive variables. RESULTS DECT quantitative metrics and radiomics had AUCs of 0.98-0.99 at site A and 0.89-0.94 at site B data for classifying benign and malignant pancreatic lesions. There was no significant difference in the AUCs and accuracies of DECT quantitative metrics and radiomics from lesion rims and volumes among patients at both sites (p > 0.05). Supervised learning-based model with data from the two sites demonstrated best AUCs of 0.94 (DECT radiomics) and 0.90 (DECT quantitative metrics) for characterizing pancreatic lesions as benign or malignant. CONCLUSION Compared to complex DECT radiomics, quantitative DECT information provide a simpler but accurate method of differentiating benign and malignant pancreatic lesions.
Collapse
Affiliation(s)
- Shadi Ebrahimian
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 75 Blossom court, Boston, MA 02114
| | - Ramandeep Singh
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 75 Blossom court, Boston, MA 02114
| | - Arjunlokesh Netaji
- Department of Radiodiagnosis and Interventional Radiology, All India Institute of Medical Sciences, New Delhi, India
| | - Kumble Seetharama Madhusudhan
- Department of Radiodiagnosis and Interventional Radiology, All India Institute of Medical Sciences, New Delhi, India
| | - Fatemeh Homayounieh
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 75 Blossom court, Boston, MA 02114
| | - Andrew Primak
- Siemens Medical Solutions USA Inc., Malvern, Pennsylvania
| | | | - Sanjay Saini
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 75 Blossom court, Boston, MA 02114
| | - Mannudeep K Kalra
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 75 Blossom court, Boston, MA 02114.
| | - Sanjay Sharma
- Department of Radiodiagnosis and Interventional Radiology, All India Institute of Medical Sciences, New Delhi, India
| |
Collapse
|
|
19
|
Hu F, Hu Y, Wang D, Ma X, Yue Y, Tang W, Liu W, Wu P, Peng W, Tong T. Cystic Neoplasms of the Pancreas: Differential Diagnosis and Radiology Correlation. Front Oncol 2022; 12:860740. [PMID: 35299739 PMCID: PMC8921498 DOI: 10.3389/fonc.2022.860740] [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: 01/23/2022] [Accepted: 02/04/2022] [Indexed: 12/18/2022] Open
Abstract
Although the probability of pancreatic cystic neoplasms (PCNs) being detected is raising year by year, their differential diagnosis and individualized treatment are still a challenge in clinical work. PCNs are tumors containing cystic components with different biological behaviors, and their clinical manifestations, epidemiology, imaging features, and malignant risks are different. Some are benign [e.g., serous cystic neoplasms (SCNs)], with a barely possible that turning into malignant, while others display a low or higher malignant risk [e.g., solid pseudopapillary neoplasms (SPNs), intraductal papillary mucinous neoplasms (IPMNs), and mucinous cystic neoplasms (MCNs)]. PCN management should concentrate on preventing the progression of malignant tumors while preventing complications caused by unnecessary surgical intervention. Clinically, various advanced imaging equipment are usually combined to obtain a more reliable preoperative diagnosis. The challenge for clinicians and radiologists is how to accurately diagnose PCNs before surgery so that corresponding surgical methods and follow-up strategies can be developed or not, as appropriate. The objective of this review is to sum up the clinical features, imaging findings and management of the most common PCNs according to the classic literature and latest guidelines.
Collapse
Affiliation(s)
- Feixiang Hu
- Department of Radiology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yue Hu
- Hefei Cancer Hospital, Chinese Academy of Sciences (CAS), Hefei, China
| | - Dan Wang
- Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai, China
| | - Xiaowen Ma
- Department of Radiology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yali Yue
- Children's Hospital, Fudan University, Shanghai, China
| | - Wei Tang
- Department of Radiology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Wei Liu
- Department of Radiology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Puye Wu
- General Electric (GE) Healthcare, Shanghai, China
| | - Weijun Peng
- Department of Radiology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Tong Tong
- Department of Radiology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| |
Collapse
|
|
20
|
Gorris M, Janssen QP, Besselink MG, van den Broek BLJ, van Eijck CHJ, van Gils MJ, Koerkamp BG, Struik F, van Driel LMJW, van Hooft JE. Sensitivity of CT, MRI, and EUS-FNA/B in the preoperative workup of histologically proven left-sided pancreatic lesions. Pancreatology 2022; 22:136-141. [PMID: 34857486 DOI: 10.1016/j.pan.2021.11.008] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Revised: 11/23/2021] [Accepted: 11/24/2021] [Indexed: 12/13/2022]
Abstract
BACKGROUND AND OBJECTIVES Left-sided pancreatic lesions are often treated surgically. Accurate diagnostic work-up is therefore essential to prevent futile major abdominal surgery. Large series focusing specifically on the preoperative work-up of left-sided pancreatic lesions are lacking. This surgical cohort analysis describes the sensitivity of CT, MRI, and EUS-FNA/B in the diagnostic work-up of left-sided pancreatic lesions. METHODS We performed a post-hoc analysis of patients who underwent surgery for a left-sided pancreatic lesion between April 2010 and August 2017 and participated in the randomized CPR trial. Primary outcome was the sensitivity of CT, MRI, and EUS-FNA/B. Sensitivity was determined as the most likely diagnosis of each modality compared with the postoperative histopathological diagnosis. Additionally, the change in sensitivity of EUS versus EUS-FNA/B (i.e., cyst fluid analysis, and/or tissue acquisition) was measured. RESULTS Overall, 181 patients were included (benign: 23%, premalignant: 27%, malignant: 50%). Most patients had solid lesions (65%). Preoperative imaging included CT (86%), MRI (41%), EUS (68%). Overall, CT and EUS-FNA/B reached a sensitivity of both 71%, compared with 66% for MRI. When EUS was combined with FNA/B, sensitivity rose from 64% to 71%. For solid lesions, CT reached the highest sensitivity (75%) when compared with MRI (70%) and EUS-FNA/B (69%). For cystic lesions, EUS-FNA/B reached the highest sensitivity (75%) when compared with CT and MRI (both 62%). CONCLUSIONS CT is the most sensitive diagnostic modality for solid and EUS-FNA/B for cystic left-sided pancreatic lesions. EUS-FNA/B was associated with an increased sensitivity when compared to EUS alone.
Collapse
Affiliation(s)
- Myrte Gorris
- Department of Gastroenterology and Hepatology, Amsterdam UMC, University of Amsterdam, Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam, the Netherlands; Department of Surgery, Amsterdam UMC, University of Amsterdam, Cancer Center Amsterdam, Amsterdam, the Netherlands.
| | - Quisette P Janssen
- Department of Surgery, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Marc G Besselink
- Department of Surgery, Amsterdam UMC, University of Amsterdam, Cancer Center Amsterdam, Amsterdam, the Netherlands
| | - Bram L J van den Broek
- Department of Surgery, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Casper H J van Eijck
- Department of Surgery, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Marjon J van Gils
- Department of Radiology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Bas Groot Koerkamp
- Department of Surgery, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Femke Struik
- Department of Radiology, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Lydi M J W van Driel
- Department of Gastroenterology and Hepatology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Jeanin E van Hooft
- Department of Gastroenterology and Hepatology, Leiden University Medical Center, Leiden, the Netherlands.
| |
Collapse
|
|
21
|
Gao J, Han F, Wang X, Duan S, Zhang J. Multi-Phase CT-Based Radiomics Nomogram for Discrimination Between Pancreatic Serous Cystic Neoplasm From Mucinous Cystic Neoplasm. Front Oncol 2021; 11:699812. [PMID: 34926238 PMCID: PMC8672034 DOI: 10.3389/fonc.2021.699812] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2021] [Accepted: 11/15/2021] [Indexed: 12/25/2022] Open
Abstract
Purpose This study aimed to develop and verify a multi-phase (MP) computed tomography (CT)-based radiomics nomogram to differentiate pancreatic serous cystic neoplasms (SCNs) from mucinous cystic neoplasms (MCNs), and to compare the diagnostic efficacy of radiomics models for different phases of CT scans. Materials and Methods A total of 170 patients who underwent surgical resection between January 2011 and December 2018, with pathologically confirmed pancreatic cystic neoplasms (SCN=115, MCN=55) were included in this single-center retrospective study. Radiomics features were extracted from plain scan (PS), arterial phase (AP), and venous phase (VP) CT scans. Algorithms were performed to identify the optimal features to build a radiomics signature (Radscore) for each phase. All features from these three phases were analyzed to develop the MP-Radscore. A combined model comprised the MP-Radscore and imaging features from which a nomogram was developed. The accuracy of the nomogram was evaluated using receiver operating characteristic (ROC) curves, calibration tests, and decision curve analysis. Results For each scan phase, 1218 features were extracted, and the optimal ones were selected to construct the PS-Radscore (11 features), AP-Radscore (11 features), and VP-Radscore (12 features). The MP-Radscore (14 features) achieved better performance based on ROC curve analysis than any single phase did [area under the curve (AUC), training cohort: MP-Radscore 0.89, PS-Radscore 0.78, AP-Radscore 0.83, VP-Radscore 0.85; validation cohort: MP-Radscore 0.88, PS-Radscore 0.77, AP-Radscore 0.83, VP-Radscore 0.84]. The combination nomogram performance was excellent, surpassing those of all other nomograms in both the training cohort (AUC, 0.91) and validation cohort (AUC, 0.90). The nomogram also performed well in the calibration and decision curve analyses. Conclusions Radiomics for arterial and venous single-phase models outperformed the plain scan model. The combination nomogram that incorporated the MP-Radscore, tumor location, and cystic number had the best discriminatory performance and showed excellent accuracy for differentiating SCN from MCN.
Collapse
Affiliation(s)
- Jiahao Gao
- Department of Radiology, Huashan Hospital North, Fudan University, Shanghai, China.,Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
| | - Fang Han
- Department of Radiology, Huashan Hospital North, Fudan University, Shanghai, China.,Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
| | - Xiaoshuang Wang
- Department of Radiology, Huashan Hospital North, Fudan University, Shanghai, China
| | - Shaofeng Duan
- Department of Life Sciences, GE Healthcare, Shanghai, China
| | - Jiawen Zhang
- Department of Radiology, Huashan Hospital North, Fudan University, Shanghai, China.,Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
| |
Collapse
|
|
22
|
Cystic pancreatic lesions: MR imaging findings and management. Insights Imaging 2021; 12:115. [PMID: 34374885 PMCID: PMC8355307 DOI: 10.1186/s13244-021-01060-z] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Accepted: 07/17/2021] [Indexed: 12/14/2022] Open
Abstract
Cystic pancreatic lesions (CPLs) are frequently casual findings in radiological examinations performed for other reasons in patients with unrelated symptoms. As they require different management according to their histological nature, differential diagnosis is essential. Radiologist plays a key role in the diagnosis and management of these lesions as imaging is able to correctly characterize most of them and thus address to a correct management. The first step for a correct characterization is to look for a communication between the CPLs and the main pancreatic duct, and then, it is essential to evaluate the morphology of the lesions. Age, sex and a history of previous pancreatic pathologies are important information to be used in the differential diagnosis. As some CPLs with different pathologic backgrounds can show the same morphological findings, differential diagnosis can be difficult, and thus, the final diagnosis can require other techniques, such as endoscopic ultrasound, endoscopic ultrasound-fine needle aspiration and endoscopic ultrasound-through the needle biopsy, and multidisciplinary management is important for a correct management.
Collapse
|
|
23
|
Preliminary evaluation of 18F-FDG-PET/MRI for differentiation of serous from nonserous pancreatic cystic neoplasms: a pilot study. Nucl Med Commun 2021; 41:1257-1264. [PMID: 32925829 DOI: 10.1097/mnm.0000000000001277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVES The aim of the study was to evaluate preliminary feasibility of 18F-FDG-PET/MRI in differentiation of pancreatic serous cystic neoplasms (SCNs) from non-SCNs. METHODS From August 2017 to June 2019, 10 patients (3 men, 7 women; mean age, 63 years) previously diagnosed with pancreatic cystic neoplasm underwent simultaneous 18F-FDG-PET/MRI prospectively on an integrated 3-Tesla hybrid PET/MRI scanner. PET images were analyzed visually and semiquantitatively measuring standardized uptake values (SUV) including lesion SUVmax and SUVmean, lesion to pancreas and lesion to liver SUVmax and SUVmean ratio independent of MRI diagnosis. The reference standard for lesion diagnosis was by MRI features and interval follow-up. RESULTS Visual assessment of PET images demonstrated uptake in 57% of SCNs. Lesion to liver SUVmax ratio of ≥0.5 showed the highest accuracy (90%) and area under the curve (0.9) followed by lesion SUVmax of ≥1.6 and lesion to pancreas SUVmax ratio of ≥0.77 for diagnosis of SCN. The sensitivity for lesion SUVmax of ≥1.6 was less than two other ones (71 versus 100%). All non-SCNs exhibited SUVmax value less than 1.6 while 33 and 66% demonstrated lesion to liver SUVmax ratio of >0.5 and lesion to pancreas SUVmax ratio of >0.77, respectively. PET/MRI specificity was 67, 100, 67 and 33% through lesion to liver SUVmax ratio, lesion SUVmax, lesion SUVmean and lesion to pancreas SUVmax ratio, respectively, for diagnosis of SCN. CONCLUSION Preliminary results show that PET/MRI utilization is promising for differentiation of pancreatic SCN from non-SCN lesions. This could reduce need for surveillance imaging or avoidance of unnecessary intervention in pancreatic cystic neoplasms with uncertain diagnoses.
Collapse
|
|
24
|
Ippolito D, Maino C, Pecorelli A, De Vito A, Riva L, Talei Franzesi C, Sironi S. Incidental pancreatic cystic lesions: comparison between CT with model-based algorithm and MRI. Radiography (Lond) 2021; 27:554-560. [PMID: 33281035 DOI: 10.1016/j.radi.2020.11.016] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Revised: 11/12/2020] [Accepted: 11/17/2020] [Indexed: 02/08/2023]
Abstract
INTRODUCTION The present study aims to compare low-kV CT reconstructed with MBIR technique with MRI in detecting high-risk stigmata and worrisome features in patients with pancreatic cystic lesions. METHODS We retrospective enrolled 75 patients who underwent low-kV CT with contrast media injection for general abdominal disorders and MRI with MRCP sequences. The reviewer, blinded to clinical and histopathological data, recorded the overall number of pancreatic cystic lesions, size, location, presence of calcifications, septa, or solid enhancing or non-enhancing components, main pancreatic duct (MPD) communication, and MPD dilatation. Mean differences with 95% limits of agreement, ICC, and κ statistics were used to compare CT and MRI. RESULTS More pancreatic cystic lesions were detected with MRI than with CT, however, the ICC value of 0.81 suggested a good agreement. According to the evaluated target lesion, a very good agreement (ICC = 0.98) was found regarding the diameter (21.4 mm CT vs 21.8 mm MRI), the location (κ = 0.90), the detection of MPD dilatation (κ = 1), the presence of septa (κ = 0.86) and the MPD communication (κ = 0.87). A moderate agreement on the assessment of enhanced components was noted (κ = 0.44), while there was only a fair agreement about the presence of calcifications (κ = 0.87). CONCLUSION MDCT can be considered almost equivalent to MRI with MRCP in the evaluation of worrisome features and high-risk stigmata, offering detailed morphologic features helpful for their characterization. IMPLICATIONS FOR PRACTICE Even if MRI is considered the reference standard in pancreatic cystic lesions characterization, CT can be considered a useful tool as a first-line imaging technique to identify worrisome features and high-risk stigmata.
Collapse
Affiliation(s)
- D Ippolito
- Department of Diagnostic Radiology, San Gerardo Hospital, Via Pergolesi 33, 20900, Monza, MB, Italy
| | - C Maino
- Department of Diagnostic Radiology, San Gerardo Hospital, Via Pergolesi 33, 20900, Monza, MB, Italy.
| | - A Pecorelli
- Department of Diagnostic Radiology, San Gerardo Hospital, Via Pergolesi 33, 20900, Monza, MB, Italy
| | - A De Vito
- Department of Diagnostic Radiology, San Gerardo Hospital, Via Pergolesi 33, 20900, Monza, MB, Italy
| | - L Riva
- Department of Diagnostic Radiology, San Gerardo Hospital, Via Pergolesi 33, 20900, Monza, MB, Italy
| | - C Talei Franzesi
- Department of Diagnostic Radiology, San Gerardo Hospital, Via Pergolesi 33, 20900, Monza, MB, Italy
| | - S Sironi
- Department of Diagnostic Radiology, H Papa Giovanni XXIII, Piazza OMS 1, 24127, Bergamo, BG, Italy
| |
Collapse
|
|
25
|
Udare A, Agarwal M, Alabousi M, McInnes M, Rubino JG, Marcaccio M, van der Pol CB. Diagnostic Accuracy of MRI for Differentiation of Benign and Malignant Pancreatic Cystic Lesions Compared to CT and Endoscopic Ultrasound: Systematic Review and Meta-analysis. J Magn Reson Imaging 2021; 54:1126-1137. [PMID: 33847435 DOI: 10.1002/jmri.27606] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Revised: 03/02/2021] [Accepted: 03/03/2021] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Differentiation of benign and malignant pancreatic cystic lesions on MRI, computed tomography (CT), and endoscopic ultrasound (EUS) is critical for determining management. PURPOSE To perform a systematic review evaluating the diagnostic accuracy of MRI for diagnosing malignant pancreatic cystic lesions, and to compare the accuracy of MRI to CT and EUS. STUDY TYPE Systematic review and meta-analysis. DATA SOURCES MEDLINE, EMBASE, Cochrane Central Register of Controlled Trials, Web of Science, and Scopus were searched until February 2020 for studies reporting MRI accuracy for assessing pancreatic cystic lesions. FIELD STRENGTH 1.5T or 3.0T. ASSESSMENT Methodologic and outcome data were extracted by two reviewers (AU and MA, 2 years of experience each). All studies of pancreatic cystic lesions on MRI were identified. Studies with incomplete MRI technique were excluded. Risk of bias was assessed using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS)-2 tool. STATISTICAL TESTS Sensitivity/specificity was pooled using bivariate random-effects meta-analysis with 95% confidence intervals (95%CI). Pairwise-comparison of MRI to CT and EUS was performed. The impact of gadolinium-based contrast agents, mucinous lesions, and risk of bias were explored using meta-regression. RESULTS MRI pooled sensitivity was 76% (95%CI 67% to 84%) and specificity was 80% (95%CI 74% to 85%) for distinguishing benign and malignant lesions. MRI and CT had similar sensitivity (P = 0.822) and specificity (P = 0.096), but MRI was more specific than EUS (80% vs. 75%, P < 0.05). Studies including only contrast-enhanced MRI were more sensitive than those including unenhanced exams (P < 0.05). MRI sensitivity and specificity did not differ for mucinous lesions (P = 0.537 and P = 0.384, respectively) or for studies at risk of bias (P = 0.789 and P = 0.791, respectively). DATA CONCLUSION MRI and CT demonstrate comparable accuracy for diagnosing malignant pancreatic cystic lesions. EUS is less specific than MRI, which suggests that, in some cases, management should be guided by MRI findings rather than EUS. LEVEL OF EVIDENCE 3 TECHNICAL EFFICACY STAGE: 2.
Collapse
Affiliation(s)
- Amar Udare
- Department of Diagnostic Imaging, Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Minu Agarwal
- Department of Diagnostic Imaging, Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Mostafa Alabousi
- Department of Diagnostic Imaging, Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Matthew McInnes
- Department of Radiology and Epidemiology, Ottawa Hospital Research Institute Clinical Epidemiology Program, University of Ottawa, Ottawa, Ontario, Canada
| | - Julian G Rubino
- School of Medicine, Queen's University, Kingston, Ontario, Canada
| | - Michael Marcaccio
- Department of Surgery, Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, Hamilton, Ontario, Canada
| | - Christian B van der Pol
- Department of Diagnostic Imaging, Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada
| |
Collapse
|
|
26
|
Hecht EM, Khatri G, Morgan D, Kang S, Bhosale PR, Francis IR, Gandhi NS, Hough DM, Huang C, Luk L, Megibow A, Ream JM, Sahani D, Yaghmai V, Zaheer A, Kaza R. Intraductal papillary mucinous neoplasm (IPMN) of the pancreas: recommendations for Standardized Imaging and Reporting from the Society of Abdominal Radiology IPMN disease focused panel. Abdom Radiol (NY) 2021; 46:1586-1606. [PMID: 33185741 DOI: 10.1007/s00261-020-02853-4] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Revised: 10/27/2020] [Accepted: 10/30/2020] [Indexed: 02/07/2023]
Abstract
There have been many publications detailing imaging features of malignant transformation of intraductal papillary mucinous neoplasms (IPMN), management and recommendations for imaging follow-up of diagnosed or presumed IPMN. However, there is no consensus on several practical aspects of imaging IPMN that could serve as a clinical guide for radiologists and enable future data mining for research. These aspects include how to measure IPMN, define reporting terminology, standardize reporting and unify guidelines for surveillance. The Society of Abdominal Radiology (SAR) created multiple Disease-Focused Panels (DFP) comprised multidisciplinary panel members who focus on a particular disease, with the goal to develop ways for radiologists to improve patient care, education, and research. DFP members met to identify the current controversies and limitations of imaging pancreatic IPMN. This paper aims to provide a practical review of the key imaging characteristics of IPMN for trainees and practicing radiologists, to guide uniformity of performance and interpretation of surveillance imaging studies, and to improve communication with clinicians by providing a lexicon and reporting template based on the experience of the SAR-DFP panel members.
Collapse
Affiliation(s)
- Elizabeth M Hecht
- Department of Radiology, New York Presbyterian-Weill Cornell Medicine, New York, NY, USA.
| | - Gaurav Khatri
- Department of Diagnostic Radiology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Desiree Morgan
- Department of Radiology, The University of Alabama at Birmingham, Birmingham, AL, USA
| | - Stella Kang
- Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA
| | - Priya R Bhosale
- Division of Diagnostic Imaging, Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Isaac R Francis
- Department of Radiology, University of Michigan, Ann Arbor, MI, USA
| | - Namita S Gandhi
- Department of Diagnostic Radiology, Cleveland Clinic, Cleveland, OH, USA
| | - David M Hough
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - Chenchan Huang
- Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA
| | - Lyndon Luk
- Department of Radiology, New York Presbyterian-Columbia University Medical Center, New York, NY, USA
| | - Alec Megibow
- Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA
| | - Justin M Ream
- Department of Diagnostic Radiology, Cleveland Clinic, Cleveland, OH, USA
| | - Dushyant Sahani
- Department of Radiology, University of Washington, Seattle, WA, USA
| | - Vahid Yaghmai
- Department of Radiological Sciences, University of California, Irvine, Orange, CA, USA
| | - Atif Zaheer
- Department of Radiology, John Hopkins Medicine, Baltimore, MD, USA
| | - Ravi Kaza
- Department of Radiology, University of Michigan, Ann Arbor, MI, USA
| |
Collapse
|
|
27
|
Jugniot N, Bam R, Meuillet EJ, Unger EC, Paulmurugan R. Current status of targeted microbubbles in diagnostic molecular imaging of pancreatic cancer. Bioeng Transl Med 2021; 6:e10183. [PMID: 33532585 PMCID: PMC7823123 DOI: 10.1002/btm2.10183] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Revised: 08/19/2020] [Accepted: 08/19/2020] [Indexed: 12/14/2022] Open
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is often associated with a poor prognosis due to silent onset, resistance to therapies, and rapid spreading. Most patients are ineligible for curable surgery as they present with advanced disease at the time of diagnosis. Present diagnostic methods relying on anatomical changes have various limitations including difficulty to discriminate between benign and malignant conditions, invasiveness, the ambiguity of imaging results, or the inability to detect molecular biomarkers of PDAC initiation and progression. Therefore, new imaging technologies with high sensitivity and specificity are critically needed for accurately detecting PDAC and noninvasively characterizing molecular features driving its pathogenesis. Contrast enhanced targeted ultrasound (CETUS) is an upcoming molecular imaging modality that specifically addresses these issues. Unlike anatomical imaging modalities such as CT and MRI, molecular imaging using CETUS is promising for early and accurate detection of PDAC. The use of molecularly targeted microbubbles that bind to neovascular targets can enhance the ultrasound signal specifically from malignant PDAC tissues. This review discusses the current state of diagnostic imaging modalities for pancreatic cancer and places a special focus on ultrasound targeted-microbubble technology together with its clinical translatability for PDAC detection.
Collapse
Affiliation(s)
- Natacha Jugniot
- Department of RadiologyMolecular Imaging Program at Stanford, Stanford UniversityPalo AltoCaliforniaUSA
| | - Rakesh Bam
- Department of RadiologyMolecular Imaging Program at Stanford, Stanford UniversityPalo AltoCaliforniaUSA
| | | | | | - Ramasamy Paulmurugan
- Department of RadiologyMolecular Imaging Program at Stanford, Stanford UniversityPalo AltoCaliforniaUSA
| |
Collapse
|
|
28
|
Gorris M, Hoogenboom SA, Wallace MB, van Hooft JE. Artificial intelligence for the management of pancreatic diseases. Dig Endosc 2021; 33:231-241. [PMID: 33065754 PMCID: PMC7898901 DOI: 10.1111/den.13875] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 09/29/2020] [Accepted: 10/11/2020] [Indexed: 12/16/2022]
Abstract
Novel artificial intelligence techniques are emerging in all fields of healthcare, including gastroenterology. The aim of this review is to give an overview of artificial intelligence applications in the management of pancreatic diseases. We performed a systematic literature search in PubMed and Medline up to May 2020 to identify relevant articles. Our results showed that the development of machine-learning based applications is rapidly evolving in the management of pancreatic diseases, guiding precision medicine in clinical, endoscopic and radiologic settings. Before implementation into clinical practice, further research should focus on the external validation of novel techniques, clarifying the accuracy and robustness of these models.
Collapse
Affiliation(s)
- Myrte Gorris
- Department of Gastroenterology and HepatologyAmsterdam Gastroenterology Endocrinology MetabolismAmsterdam University Medical CentersUniversity of AmsterdamAmsterdamThe Netherlands
| | - Sanne A. Hoogenboom
- Department of Gastroenterology and HepatologyAmsterdam Gastroenterology Endocrinology MetabolismAmsterdam University Medical CentersUniversity of AmsterdamAmsterdamThe Netherlands
| | - Michael B. Wallace
- Department of Gastroenterology and HepatologyMayo Clinic JacksonvilleJacksonvilleUSA
| | - Jeanin E. van Hooft
- Department of Gastroenterology and HepatologyAmsterdam Gastroenterology Endocrinology MetabolismAmsterdam University Medical CentersUniversity of AmsterdamAmsterdamThe Netherlands
- Department of Gastroenterology and HepatologyLeiden University Medical CenterLeidenThe Netherlands
| |
Collapse
|
|
29
|
Wesali S, Demir MA, Verbeke CS, Andersson M, Bratlie SO, Sadik R. EUS is accurate in characterizing pancreatic cystic lesions; a prospective comparison with cross-sectional imaging in resected cases. Surg Endosc 2020; 35:6650-6659. [PMID: 33259018 PMCID: PMC8599246 DOI: 10.1007/s00464-020-08166-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Accepted: 11/15/2020] [Indexed: 01/04/2023]
Abstract
Background Imaging modalities for characterizing pancreatic cystic lesions (PCLs) is a known uncertainty. The aim of this prospective study was to compare the diagnostic performance of endoscopic ultrasound morphology, cytology and cyst fluid carcinoembryonic antigen (EUS-FNA-CEA) with cross-sectional imaging in resected PCLs. Methods The cross-sectional imaging and EUS-FNA-CEA results were collected in an academic tertiary referral centre using histology of the surgical specimen as the diagnostic standard. Results Of 289 patients undergoing evaluation for PCL with cross-sectional imaging and EUS-FNA between February 2007 and March 2017, 58 underwent surgical resection providing a final diagnosis of the PCLs: 45 mucinous, 5 serous, 1 pseudocyst, 2 endocrine, 2 solid pseudopapillary neoplasms and 3 other. EUS-FNA-CEA was more accurate than cross-sectional imaging in diagnosing mucinous PCLs (95% vs. 83%, p = 0.04). Ninety-two percent of the PCLs with high-grade dysplasia or adenocarcinoma were smaller than 3 cm in diameter. The sensitivity of EUS-FNA-CEA and cross-sectional imaging for detecting PCLs with high-grade dysplasia or adenocarcinoma were 33% and 5% (p = 0.03), respectively. However, there was no difference in accuracy between the modalities (62% vs. 66%, p = 0.79). The sensitivity for detecting pancreatic adenocarcinomas only was 64% for EUS-FNA-CEA and 9% for cross-sectional imaging (p = 0.03). Overall, EUS-FNA-CEA provided a correct diagnosis in more patients with PCLs than cross-sectional imaging (72% vs. 50%, p = 0.01). Conclusions EUS-FNA-CEA is accurate and should be considered a complementary test in the diagnosis of PCLs. However, the detection of PCLs with high-grade dysplasia or adenocarcinoma needs to be improved. Cyst size does not seem to be a reliable predictor of high-grade dysplasia or adenocarcinoma. Electronic supplementary material The online version of this article (10.1007/s00464-020-08166-3) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Sahar Wesali
- Department of Gastroenterology and Hepatology, Sahlgrenska University Hospital, Gothenburg, Sweden.
| | - Mehmet A Demir
- Department of Clinical Pathology, Rigshospitalet, Copenhagen, Denmark
| | - Caroline S Verbeke
- Department of Pathology, University of Oslo, and Oslo University Hospital, Oslo, Norway
| | - Mats Andersson
- Department of Radiology, Sahlgrenska University Hospital, Gothenburg, Sweden.,Division of Radiology, Karolinska University Hospital Huddinge, Stockholm, Sweden
| | - Svein Olav Bratlie
- Department of Surgery, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Riadh Sadik
- Department of Gastroenterology and Hepatology, Sahlgrenska University Hospital, Gothenburg, Sweden
| |
Collapse
|
|
30
|
Schweber AB, Brooks C, Agarunov E, Sethi A, Poneros JM, Schrope BA, Kluger MD, Chabot JA, Gonda TA. New onset diabetes predicts progression of low risk pancreatic mucinous cysts. Pancreatology 2020; 20:1755-1763. [PMID: 33250091 DOI: 10.1016/j.pan.2020.09.015] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Revised: 09/08/2020] [Accepted: 09/19/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND Patients with low-risk lesions require ongoing surveillance since the rate of progression to pancreatic cancer (PC), while small, is much greater than in the general population. Our objective was to study the relationship between new onset diabetes (NODM) and progression in patients with low risk mucinous cysts. METHODS We evaluated a prospectively maintained cohort of 442 patients with a suspected mucinous cyst without worrisome features (WF) or high-risk stigmata (HRS). Multivariable Cox models were developed for progression to WF and HRS, with diabetes status formulated as both time independent and dependent covariates. The adjusted cumulative risk of progression was calculated using the corrected group prognosis method. RESULTS The 5-year cumulative progression rates to WFs and HRS were 12.8 and 3.6%, respectively. After controlling for other risk factors, the development of NODM was strongly associated with progression to HRS (HR = 11.6; 95%CI, 3.5-57.7%), but not WF. Among patients with the smallest cysts (<10 mm) at baseline, those who developed NODM had a 5-year adjusted cumulative risk of progression to HRS of 8.6% (95%CI, 0.0%-20.2%), compared to only 0.8% (95%CI, 0.0%-2.3%) for patients without NODM. Among patients with the largest cysts (20-29 mm), those who developed NODM during surveillance had a 5-year adjusted cumulative risk of progression of 53.5% (95%CI, 19.6%-89.9%) compared to only 7.5% (95%CI, 1.6%-15.2%) for patients without NODM. CONCLUSION New onset diabetes may predict progression in patients with low risk mucinous cysts. Pending validation with large-scale studies, these findings support regular diabetes screening among patients surveilled for suspected IPMNs or MCNs.
Collapse
Affiliation(s)
- Adam B Schweber
- Department of Medicine, Division of Digestive and Liver Diseases, Columbia University Irving Medical Center, NY, USA
| | - Christian Brooks
- Department of Medicine, Division of Digestive and Liver Diseases, Columbia University Irving Medical Center, NY, USA; Larner College of Medicine at the University of Vermont, Burlington, VT, USA
| | - Emil Agarunov
- Department of Medicine, Division of Digestive and Liver Diseases, Columbia University Irving Medical Center, NY, USA
| | - Amrita Sethi
- Department of Medicine, Division of Digestive and Liver Diseases, Columbia University Irving Medical Center, NY, USA
| | - John M Poneros
- Department of Medicine, Division of Digestive and Liver Diseases, Columbia University Irving Medical Center, NY, USA
| | - Beth A Schrope
- Pancreas Center, Division of Surgery, Columbia University Irving Medical Center, NY, USA
| | - Michael D Kluger
- Pancreas Center, Division of Surgery, Columbia University Irving Medical Center, NY, USA
| | - John A Chabot
- Pancreas Center, Division of Surgery, Columbia University Irving Medical Center, NY, USA
| | - Tamas A Gonda
- Department of Medicine, Division of Digestive and Liver Diseases, Columbia University Irving Medical Center, NY, USA; Division of Gastroenterology and Hepatology, New York University, New York, NY.
| |
Collapse
|
|
31
|
Ozaki K, Ikeno H, Kaizaki Y, Maeda K, Higuchi S, Kosaka N, Kimura H, Gabata T. Pearls and pitfalls of imaging features of pancreatic cystic lesions: a case-based approach with imaging-pathologic correlation. Jpn J Radiol 2020; 39:118-142. [PMID: 32840742 DOI: 10.1007/s11604-020-01032-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Accepted: 08/11/2020] [Indexed: 12/14/2022]
Abstract
A variety of neoplastic and non-neoplastic lesions of the pancreas can present with a predominantly cystic architecture. These lesions are increasingly being detected as incidental findings on routine cross-sectional imaging following technological advances in these techniques and their widespread use. The different histopathological behaviors show various common and uncommon imaging findings, and some cases show similar appearance in spite of different histopathology. Each lesion requires specific management because of the differing risk of progression to malignancy, and an accurate imaging diagnosis is crucial. The typical imaging characteristics that differentiate pancreatic cystic lesions have been well described and fully summarized. However, in addition to a small percentage of cases that shows uncommon imaging findings, a substantial percentage of cystic lesions shows overlapping imaging findings that can lead to radiological misdiagnosis. For appropriate diagnosis and optimal treatment strategy, it is important to know the uncommon and overlapping imaging findings of these lesions, in addition to familiarity with the typical aspects. In this article, we reconfirm the well-known characteristic imaging features of pancreatic cystic lesions and present several diagnostically challenging cases, focusing on the uncommon and overlapping imaging findings.
Collapse
Affiliation(s)
- Kumi Ozaki
- Department of Radiology, Faculty of Medical Sciences, University of Fukui, 23-3 Matsuoka-Shimoaizuki, Eiheiji, Fukui, 910-1193, Japan.
| | - Hiroshi Ikeno
- Department of Radiology, Kanazawa University Graduate School of Medical Sciences, Kanazawa, Japan
| | - Yasuharu Kaizaki
- Department of Diagnostic Pathology, Fukui Prefectural Hospital, Fukui, Japan
| | - Kazuya Maeda
- Department of Surgery, Fukui Prefectural Hospital, Fukui, Japan
| | - Shohei Higuchi
- Department of Pathology, Faculty of Medical Sciences, University of Fukui, Fukui, Japan
| | - Nobuyuki Kosaka
- Department of Radiology, Faculty of Medical Sciences, University of Fukui, 23-3 Matsuoka-Shimoaizuki, Eiheiji, Fukui, 910-1193, Japan
| | - Hirohiko Kimura
- Department of Radiology, Faculty of Medical Sciences, University of Fukui, 23-3 Matsuoka-Shimoaizuki, Eiheiji, Fukui, 910-1193, Japan
| | - Toshifumi Gabata
- Department of Radiology, Kanazawa University Graduate School of Medical Sciences, Kanazawa, Japan
| |
Collapse
|
|
32
|
Polk SL, Choi JW, McGettigan MJ, Rose T, Ahmed A, Kim J, Jiang K, Balagurunathan Y, Qi J, Farah PT, Rathi A, Permuth JB, Jeong D. Multiphase computed tomography radiomics of pancreatic intraductal papillary mucinous neoplasms to predict malignancy. World J Gastroenterol 2020; 26:3458-3471. [PMID: 32655269 PMCID: PMC7327792 DOI: 10.3748/wjg.v26.i24.3458] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2020] [Revised: 05/09/2020] [Accepted: 06/13/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Intraductal papillary mucinous neoplasms (IPMNs) are non-invasive pancreatic precursor lesions that can potentially develop into invasive pancreatic ductal adenocarcinoma. Currently, the International Consensus Guidelines (ICG) for IPMNs provides the basis for evaluating suspected IPMNs on computed tomography (CT) imaging. Despite using the ICG, it remains challenging to accurately predict whether IPMNs harbor high grade or invasive disease which would warrant surgical resection. A supplementary quantitative radiological tool, radiomics, may improve diagnostic accuracy of radiological evaluation of IPMNs. We hypothesized that using CT whole lesion radiomics features in conjunction with the ICG could improve the diagnostic accuracy of predicting IPMN histology.
AIM To evaluate whole lesion CT radiomic analysis of IPMNs for predicting malignant histology compared to International Consensus Guidelines.
METHODS Fifty-one subjects who had pancreatic surgical resection at our institution with histology demonstrating IPMN and available preoperative CT imaging were included in this retrospective cohort. Whole lesion semi-automated segmentation was performed on each preoperative CT using Healthmyne software (Healthmyne, Madison, WI). Thirty-nine relevant radiomic features were extracted from each lesion on each available contrast phase. Univariate analysis of the 39 radiomics features was performed for each contrast phase and values were compared between malignant and benign IPMN groups using logistic regression. Conventional quantitative and qualitative CT measurements were also compared between groups, via χ2 (categorical) and Mann Whitney U (continuous) variables.
RESULTS Twenty-nine subjects (15 males, age 71 ± 9 years) with high grade or invasive tumor histology comprised the "malignant" cohort, while 22 subjects (11 males, age 70 ± 7 years) with low grade tumor histology were included in the "benign" cohort. Radiomic analysis showed 18/39 precontrast, 19/39 arterial phase, and 21/39 venous phase features differentiated malignant from benign IPMNs (P < 0.05). Multivariate analysis including only ICG criteria yielded two significant variables: thickened and enhancing cyst wall and enhancing mural nodule < 5 mm with an AUC (95%CI) of 0.817 (0.709-0.926). Multivariable post contrast radiomics achieved an AUC (95%CI) of 0.87 (0.767-0.974) for a model including arterial phase radiomics features and 0.834 (0.716-0.953) for a model including venous phase radiomics features. Combined multivariable model including conventional variables and arterial phase radiomics features achieved an AUC (95%CI) of 0.93 (0.85-1.0) with a 5-fold cross validation AUC of 0.90.
CONCLUSION Multi-phase CT radiomics evaluation could play a role in improving predictive capability in diagnosing malignancy in IPMNs. Future larger studies may help determine the clinical significance of our findings.
Collapse
Affiliation(s)
- Stuart L Polk
- University of South Florida College of Medicine, Tampa, FL 33612, United States
| | - Jung W Choi
- Department of Diagnostic and Interventional Radiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, United States
| | - Melissa J McGettigan
- Department of Diagnostic and Interventional Radiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, United States
| | - Trevor Rose
- Department of Diagnostic and Interventional Radiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, United States
| | - Abraham Ahmed
- Department of Diagnostic and Interventional Radiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, United States
| | - Jongphil Kim
- Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, United States
| | - Kun Jiang
- Department of Anatomic Pathology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, United States
| | - Yoganand Balagurunathan
- Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, United States
| | - Jin Qi
- Department of Cancer Physiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, United States
| | - Paola T Farah
- Department of Clinical Science, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, United States
| | - Alisha Rathi
- Department of Radiology, University of Florida, Gainesville, FL 32610, United States
| | - Jennifer B Permuth
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, United States
| | - Daniel Jeong
- Department of Diagnostic and Interventional Radiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, United States
| |
Collapse
|
|
33
|
Fábrega-Foster K, Kamel IR, Horowitz JM, Arif-Tiwari H, Bashir MR, Chernyak V, Goldstein A, Grajo JR, Hindman NM, Kamaya A, McNamara MM, Porter KK, Scheiman JM, Solnes LB, Srivastava PK, Zaheer A, Carucci LR. ACR Appropriateness Criteria® Pancreatic Cyst. J Am Coll Radiol 2020; 17:S198-S206. [PMID: 32370963 DOI: 10.1016/j.jacr.2020.01.021] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Accepted: 01/25/2020] [Indexed: 02/07/2023]
Abstract
Incidental pancreatic cysts are increasingly detected on imaging studies performed for unrelated indications and may be incompletely characterized on these studies. Adequate morphological characterization is critical due to the small risk of malignant degeneration associated with neoplastic pancreatic cysts, as well as the risk of associated pancreatic adenocarcinoma. For all pancreatic cysts, both size and morphology determine management. Specifically, imaging detection of features, such as pancreatic ductal communication and presence or absence of worrisome features or high-risk stigmata, have important management implications. The recommendations in this publication determine the appropriate initial imaging study to further evaluate a pancreatic cyst that was incidentally detected on a nondedicated imaging study. The recommendations are designed to maximize the yield of diagnostic information in order to better risk-stratify pancreatic cysts and assist in guiding future management. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision include an extensive analysis of current medical literature from peer reviewed journals and the application of well-established methodologies (RAND/UCLA Appropriateness Method and Grading of Recommendations Assessment, Development, and Evaluation or GRADE) to rate the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where evidence is lacking or equivocal, expert opinion may supplement the available evidence to recommend imaging or treatment.
Collapse
Affiliation(s)
| | - Ihab R Kamel
- Panel Chair, Johns Hopkins University School of Medicine, Baltimore, Maryland.
| | | | - Hina Arif-Tiwari
- University of Arizona, Banner University Medical Center, Tucson, Arizona
| | | | | | | | - Joseph R Grajo
- University of Florida College of Medicine, Gainesville, Florida
| | | | - Aya Kamaya
- Stanford University Medical Center, Stanford, California
| | | | | | - James M Scheiman
- University of Virginia Health System, Charlottesville, Virginia; American Gastroenterological Association
| | | | - Pavan K Srivastava
- University of Illinois College of Medicine, Chicago, Illinois; American College of Physicians
| | | | - Laura R Carucci
- Specialty Chair, Virginia Commonwealth University Medical Center, Richmond, Virginia
| |
Collapse
|
|
34
|
Management of Incidental Pancreatic Cystic Lesions: Integrating Novel Diagnostic and Prognostic Factors With Current Clinical Guidelines. J Clin Gastroenterol 2020; 54:415-427. [PMID: 32011401 DOI: 10.1097/mcg.0000000000001310] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Owing to increased detection rates, the diagnosis and management of incidental pancreatic cysts has become a common predicament. Up to 13% of patients undergoing cross-sectional imaging studies for other indications are found to have pancreatic cystic lesions. Although most cystic lesions are benign, the malignant potential of several types of pancreatic cysts makes accurate classification vital to directing therapy. To this end, advances in the last decade led to better characterization of pancreatic cyst morphology and hence enhanced the ability to predict underlying histopathology, and biological behavior. Although accurate classification remains a challenge, the utilization of complementary diagnostic tools is the optimal approach to dictate management. The following review includes a description of pancreatic cysts, a critical review of current and emerging diagnostic techniques and a review of recent guidelines in the management of incidental pancreatic cysts.
Collapse
|
|
35
|
Total Pancreatectomy for Malignant Intraductal Papillary Mucinous Neoplasm (IPMN) Complicated by Gastropancreatic Fistulae. Case Rep Surg 2020; 2020:8547526. [PMID: 32274240 PMCID: PMC7132345 DOI: 10.1155/2020/8547526] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Accepted: 03/17/2020] [Indexed: 11/17/2022] Open
Abstract
Background Intraductal papillary mucinous neoplasms (IPMN) of the pancreas complicated by fistula formation to adjacent organs are an uncommon phenomenon. We present an IPMN of the pancreas with malignant transformation and multiple fistulae to the stomach and duodenum. Case Presentation. A 50-year-old female was referred for investigation of recent epigastric pain and a past history of recurrent pancreatitis. Imaging with computed tomography showed a gross dilatation of the entire pancreatic duct with a heterogeneous enhancement of the periductal parenchyma. A passage of oral contrast was noted from the greater curvature and pylorus of the stomach into the dilated duct suggestive of fistulae formation. Gastroduodenoscopy demonstrated these fistulae in the stomach and the proximal duodenum and an exophytic growth at the ampulla obliterating the view of ampullary opening. Endosonography- (EUS-) guided fine-needle aspiration cytology (FNAC) showed cells with high-grade atypia. A total pancreatectomy, distal gastrectomy, and splenectomy were performed, and recovery was uneventful. Histology revealed a ductal adenocarcinoma arising from an intestinal type intraductal papillary mucinous neoplasm with high-grade dysplasia. A year and a half after surgery, she is healthy with good glycaemic control and nutritional status. Conclusion This case highlights the importance investigating patients for the aetiology in recurrent acute pancreatitis and their follow-up. Awareness of cystic pancreatic neoplasms including IPMN is important to avoid misdiagnosis or delayed diagnosis. Referral of these patients to centres with facilities for multidisciplinary input and specialised management is strongly recommended.
Collapse
|
|
36
|
Hasan A, Visrodia K, Farrell JJ, Gonda TA. Overview and comparison of guidelines for management of pancreatic cystic neoplasms. World J Gastroenterol 2019; 25:4405-4413. [PMID: 31496620 PMCID: PMC6710181 DOI: 10.3748/wjg.v25.i31.4405] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2019] [Revised: 07/15/2019] [Accepted: 07/19/2019] [Indexed: 02/06/2023] Open
Abstract
Pancreatic cysts are identified at an increasing frequency. Although mucinous cystic neoplasms represent a pre-malignant condition, the majority of these lesions do not progress to cancer. Over the last 10 years several societies have established guidelines for the diagnosis, initial evaluation and surveillance of these lesions. Here we provide an overview of five commonly used guidelines: 2015 American Gastroenterological Association, 2017 International Association of Pancreatology, American College of Gastroenterology 2018, European Study Group and American College of Radiology. We describe the similarities and differences between the methods used to formulate these guidelines, the population they target and their approaches towards initial evaluation and surveillance of cystic lesions.
Collapse
Affiliation(s)
- Aws Hasan
- Division of Digestive and Liver Diseases, Department of Medicine, Columbia University, New York, NY 10032, United States
| | - Kavel Visrodia
- Division of Digestive and Liver Diseases, Department of Medicine, Columbia University, New York, NY 10032, United States
| | - James J Farrell
- Division of Digestive Diseases, Department of Medicine, Yale University, New Haven, CT 06520, United States
| | - Tamas A Gonda
- Division of Digestive and Liver Diseases, Department of Medicine, Columbia University, New York, NY 10032, United States
| |
Collapse
|
|
37
|
Singhi AD, Koay EJ, Chari ST, Maitra A. Early Detection of Pancreatic Cancer: Opportunities and Challenges. Gastroenterology 2019; 156:2024-2040. [PMID: 30721664 PMCID: PMC6486851 DOI: 10.1053/j.gastro.2019.01.259] [Citation(s) in RCA: 491] [Impact Index Per Article: 81.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2018] [Revised: 01/08/2019] [Accepted: 01/15/2019] [Indexed: 12/17/2022]
Abstract
Most patients with pancreatic ductal adenocarcinoma (PDAC) present with symptomatic, surgically unresectable disease. Although the goal of early detection of PDAC is laudable and likely to result in significant improvement in overall survival, the relatively low prevalence of PDAC renders general population screening infeasible. The challenges of early detection include identification of at-risk individuals in the general population who would benefit from longitudinal surveillance programs and appropriate biomarker and imaging-based modalities used for PDAC surveillance in such cohorts. In recent years, various subgroups at higher-than-average risk for PDAC have been identified, including those with familial risk due to germline mutations, a history of pancreatitis, patients with mucinous pancreatic cysts, and elderly patients with new-onset diabetes. The last 2 categories are discussed at length in terms of the opportunities and challenges they present for PDAC early detection. We also discuss current and emerging imaging modalities that are critical to identifying early, potentially curable PDAC in high-risk cohorts on surveillance.
Collapse
Affiliation(s)
- Aatur D Singhi
- Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Eugene J Koay
- Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas; Sheikh Ahmed Center for Pancreatic Cancer Research, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Suresh T Chari
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota.
| | - Anirban Maitra
- Sheikh Ahmed Center for Pancreatic Cancer Research, University of Texas MD Anderson Cancer Center, Houston, Texas; Department of Translational Molecular Pathology, University of Texas MD Anderson Cancer Center, Houston, Texas
| |
Collapse
|
|
38
|
Rosendahl J, Michl P. [Cystic lesions of the pancreas : Differential diagnostics and treatment]. Internist (Berl) 2019; 60:219-225. [PMID: 30617702 DOI: 10.1007/s00108-018-0547-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
Cystic space-occupying lesions of the pancreas represent incidental findings in most cases. As there is a potential risk of malignant transformation further evaluation of the lesions as well as a follow-up of these patients is usually recommended. Before this work-up is initiated the clinical situation of the patient as a whole and comorbidities, age and personal preferences have to be taken into account. So far there are no biomarkers that reliably predict the risk of malignant transformation. Imaging by magnetic resonance tomography (MRI) in combination with magnetic resonance cholangiopancreatography (MRCP) is more accurate than computed tomography to identify worrisome features. During follow-up, endoscopic ultrasound (EUS) can be used as complementary method to MRI/MRCP. Using contrast enhancement or endoscopic fine needle aspiration (EUS-FNA) may influence the therapeutic strategy in some patients. Whereas for some cystic pancreatic lesions consensus has been reached, varying recommendations exist for intraductal papillary mucinous neoplasms (IPMN). There is consensus that in main-duct as well as in mixed-type IPMN surgery is recommended. The management of branch-duct type IPMN, however, remains controversial. A multidisciplinary expert panel including gastroenterologists, visceral surgeons, radiologists and pathologists is essential to discuss all cases of patients with cystic pancreatic lesions and to guarantee an optimal, patient-centered treatment recommendation.
Collapse
Affiliation(s)
- J Rosendahl
- Klinik für Innere Medizin I, Universitätsklinikum Halle (Saale), Ernst-Grube-Str. 40, 06120, Halle (Saale), Deutschland.
| | - P Michl
- Klinik für Innere Medizin I, Universitätsklinikum Halle (Saale), Ernst-Grube-Str. 40, 06120, Halle (Saale), Deutschland
| |
Collapse
|
|
39
|
Tumor growth rate of pancreatic serous cystadenomas: Endosonographic follow-up with volume measurement to predict cyst enlargement. Pancreatology 2019; 19:122-126. [PMID: 30503637 DOI: 10.1016/j.pan.2018.11.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2018] [Revised: 09/07/2018] [Accepted: 11/16/2018] [Indexed: 12/11/2022]
Abstract
BACKGROUND Serous cystadenomas are benign lesions of the pancreas. Usually they are diagnosed incidentally on cross-sectional imaging studies. Endosonography is a valuable tool in the diagnosis and follow-up of these cystic lesions. Given its benign nature, surgical resection is advised only in symptomatic patients. The interval and length of surveillance is not well established. METHODS A retrospective single center study was done. All the patients with a pancreatic serous cystadenoma sent for an endosonographic evaluation, between December 2008 and December 2015 were included. The lesions were follow-up endosonographically at least once, in a 12 months interval. Volume was measured with the formula π/6 × (d1 x d1 x d2). Two groups were evaluated: patients with a volume under 10 mL (Group 1) and those with a volume of 10 mL or more at presentation (Group 2). Growth rate between these two groups was compared. RESULTS Thirty-one patients were analyzed, with a mean age of 58.2 years. Patients were mainly women (87%). Twenty-four patients in Group 1 had a mean enlargement of 0.67 ml per year, whereas patients in Group 2 had a mean enlargement of 9.8 ml per year. The growth rate difference between these two groups was statistically significant (p = 0.0001). CONCLUSION Asymptomatic patients with pancreatic serous cystadenomas should be follow-up for enlargement. Small volume lesions have a low risk of enlargement compared with high volume and macrocystic serous cystadenomas. Volume at presentation is a feature to analyze when defining surveillance interval.
Collapse
|
|
40
|
Salom F, Prat F. Current indications and yield of endoscopic ultrasound and ancillary techniques in pancreatic cystic neoplasms. Clin J Gastroenterol 2018; 12:93-101. [PMID: 30565189 DOI: 10.1007/s12328-018-00930-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2018] [Accepted: 12/12/2018] [Indexed: 12/11/2022]
Abstract
An increase in the diagnosis of pancreatic cystic neoplasm has been described lately. Surgical treatment or surveillance is advised depending on the type of lesion diagnosed. The most accurate diagnostic approach is needed to make the best therapeutic decision. Endoscopic ultrasound is a very valuable tool in the evaluation of pancreatic cystic neoplasm. It generates high-quality images and allows the possibility of sampling the cystic fluid for cytology, microbiological and molecular evaluation. Even with this evaluation, the sensitivity of this approach is not always adequate. New technological resources have been developed to try to improve the diagnostic accuracy of pancreatic cystic neoplasms. The two most promising techniques are needle-based confocal laser endomicroscopy and contrast-enhanced harmonic endoscopic ultrasound. Needle-based confocal laser endomicroscopy allows a microscopic evaluation of mucosal glands and vascular pattern, to differentiate mucinous from non-mucinous lesions. Contrast-enhanced harmonic endoscopic ultrasound is used for the vascular evaluation of the microcirculation of the cyst wall and mural nodule, mainly to make the difference between malignant nodules and mucus plugs. A combination of these different diagnostic techniques can improve the diagnostic accuracy of pancreatic cystic neoplasms to offer the adequate therapeutic decision.
Collapse
Affiliation(s)
- Federico Salom
- Departamento de Gastroenterología, Hospital México, San José, 1641-2050, Costa Rica.
| | - Frédéric Prat
- Service de Gastroenterologie, d'endoscopie et de Cancerologie Digestive, APHP-Hopital Cochin, 75014, Paris, France
| |
Collapse
|
|
41
|
Mohamed E, Jackson R, Halloran CM, Ghaneh P. Role of Radiological Imaging in the Diagnosis and Characterization of Pancreatic Cystic Lesions: A Systematic Review. Pancreas 2018; 47:1055-1064. [PMID: 30199486 DOI: 10.1097/mpa.0000000000001134] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
The evidence on the ability of radiological tests to predict a specific diagnosis and also their aptitude in identifying pathological markers indicative of malignancy in cystic lesions of the pancreas remains inconclusive. We conducted a systematic review on MEDLINE for the use of computed tomography (CT), magnetic resonance imaging, and positron emission tomography/CT (PET/CT) in the diagnosis and characterization of these cysts. The accuracy of CT scan for reaching a specific diagnosis was 39% to 61.4%, whereas its accuracy for differentiating benign from malignant lesions was 61.9% to 80%. Magnetic resonance imaging showed a better accuracy in identifying a specific diagnosis of 50% to 86%, whereas its accuracy in differentiating benign from malignant lesions was 55.6% to 87%. The use of magnetic resonance imaging was superior to CT scan in identifying septations, mural nodules, and ductal communication. The sensitivity of PET/CT in diagnosing malignancy was 85.7% to 100% with a reported accuracy of 88% to 95%. The evidence gathered from this review suggests that the adequacy of CT imaging in full characterization of pancreatic cysts is suboptimal, and therefore a low threshold for supplementary imaging is advised. The use of PET/CT should be considered in high-risk patients with equivocal findings.
Collapse
Affiliation(s)
- Eyas Mohamed
- From the Department of Molecular and Clinical Cancer Medicine and
| | - Richard Jackson
- Liverpool Cancer Research UK Cancer Trials Unit, Liverpool Cancer Research UK Centre, University of Liverpool, Liverpool, United Kingdom
| | | | | |
Collapse
|
|
42
|
Affiliation(s)
- Giuseppe D'Ippolito
- Adjunct Professor in the Department of Diagnostic Imaging of the Escola Paulista de Medicina da Universidade Federal de São Paulo (EPM-Unifesp), Radiologist of Laboratório Fleury, São Paulo, SP, Brazil
| |
Collapse
|
|
43
|
Current concepts in molecular genetics and management guidelines for pancreatic cystic neoplasms: an essential update for radiologists. Abdom Radiol (NY) 2018; 43:2351-2368. [PMID: 29404638 DOI: 10.1007/s00261-017-1452-5] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Cystic neoplasms in the pancreas are encountered frequently on imaging, often detected incidentally during evaluation for other conditions. They can have a variety of clinical and imaging presentations, and similarly, wide-ranging prognostic and treatment implications. In the majority, imaging helps in diagnosis of pancreatic cystic neoplasms (PCNs) and guides management decisions. But, a significant minority of the PCNs remain indeterminate. There have been multiple recent advances in biomarkers and molecular genetics which will likely prove helpful in risk stratification of PCNs. Several prominent national and international societies, as well as consensus groups have put forth recommendations to help guide management of PCNs. The purpose of this article is to discuss the role of imaging in evaluation of PCNs, review the recent advances in molecular genetics and pancreatic cyst fluid analysis, and analyze the pros and cons of major evidence-based and consensus guidelines for management of PCNs.
Collapse
|
|
44
|
Abstract
PURPOSE OF REVIEW With recent advances in radiographic testing, there have been increases in the incidental identification of pancreatic cysts. Determining management, specifically, which cysts can be watched versus intervened upon has significant impact on at the patient-physician level as well as globally on resource allocation and healthcare expenditures. This review focuses on the three main guidelines (Fukuoka guidelines, European consensus, and American Gastroenterological Association recommendations) for management of pancreatic cystic disease after incidental identification. RECENT FINDINGS There are iterant revisions to each set of recommendations every few years as new data is published on the subject. This review encompasses the most up-to-date recommendations for management while also providing a framework for conceptualizing work-up for varying types of pancreatic cystic disease before and after incidental identification. SUMMARY Pancreatic cystic disease should be approached in thoughtful clinical manner, and each cyst should be evaluated in the context of patient's health and healthcare goals. All cysts, however, should be considered malignant until proven otherwise. Applications of different diagnostic modalities like MRI and EUS with FNA can better characterize cystic lesions and assess malignant potential. Resection should always be considered in cysts with concerning features. If deferred, surveillance should be continued indefinitely. Early termination of surveillance risks future malignant progression.
Collapse
|
|
45
|
McIntyre CA, Allen PJ. How Long Should Patients with Cystic Lesions of the Pancreas Be Followed? Adv Surg 2018; 52:223-233. [PMID: 30098614 DOI: 10.1016/j.yasu.2018.03.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Affiliation(s)
- Caitlin A McIntyre
- Department of Surgery, Hepatopancreatobiliary Service, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA
| | - Peter J Allen
- Department of Surgery, Hepatopancreatobiliary Service, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA.
| |
Collapse
|
|
46
|
Alvarez-Sánchez MV, Napoléon B. New horizons in the endoscopic ultrasonography-based diagnosis of pancreatic cystic lesions. World J Gastroenterol 2018; 24:2853-2866. [PMID: 30018480 PMCID: PMC6048425 DOI: 10.3748/wjg.v24.i26.2853] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2018] [Revised: 05/28/2018] [Accepted: 06/16/2018] [Indexed: 02/06/2023] Open
Abstract
Pancreatic cystic lesions (PCLs) are increasingly being identified because of the widespread use of high-resolution abdominal imaging. These cysts encompass a spectrum from malignant disease to benign lesions, and therefore, accurate diagnosis is crucial to determine the best management strategy, either surgical resection or surveillance. However, the current standard of diagnosis is not accurate enough due to limitations of imaging and tissue sampling techniques, which entail the risk of unnecessary burdensome surgery for benign lesions or missed opportunities of prophylactic surgery for potentially malignant PCLs. In the last decade, endoscopic innovations based on endoscopic ultrasonography (EUS) imaging have emerged, aiming to overcome the present limitations. These new EUS-based technologies are contrast harmonic EUS, needle-based confocal endomicroscopy, through-the-needle cystoscopy and through-the needle intracystic biopsy. Here, we present a comprehensive and critical review of these emerging endoscopic tools for the diagnosis of PCLs, with a special emphasis on feasibility, safety and diagnostic performance.
Collapse
Affiliation(s)
- María-Victoria Alvarez-Sánchez
- Instituto de Investigación Sanitaria Galicia Sur, Complejo Hospitalario Universitario de Pontevedra, Pontevedra 36003, Spain
| | - Bertrand Napoléon
- Department of Gastroenterology, Ramsay Générale de Santé Private Hospital Jean Mermoz, Lyon 69008, France
| |
Collapse
|
|
47
|
Abstract
PURPOSE OF REVIEW The goal of this review is to critically analyze the current literature regarding the management of incidental pancreatic cysts. Given their increased rates of detection due to the frequent use of cross-sectional imaging, correctly identifying the subset of high risk lesions that are appropriate for surgical resection is critical. However, the existing consensus and societal guidelines discussed in this review lack high quality data to create evidence-based recommendations, making achieving this important aim challenging. RECENT FINDINGS Several recent studies have focused on the natural history of pancreatic cysts and defining the role of endoscopic ultrasound, which remains unclear. EUS-guided diagnostic tools include molecular analysis of obtained fluid; EUS-guided FNA, FNB, and intracystic forceps biopsy of the cyst wall; and confocal endomicroscopy. While their precise role in diagnosing pancreatic cystic neoplasms remains to be defined, they represent promising innovations that may play a future role in cyst assessment and management. Large, long-term, prospective studies of incidentally identified pancreatic cysts are essential to fully understand their natural history and potential for neoplastic progression. Given the absence of such data at present, an individualized patient approach is recommended.
Collapse
Affiliation(s)
- Jennifer Phan
- Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine at UCLA, 200 UCLA Medical Plaza, Suite 330-37, Los Angeles, CA, 90095, USA
| | - V Raman Muthusamy
- Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine at UCLA, 200 UCLA Medical Plaza, Suite 330-37, Los Angeles, CA, 90095, USA.
| |
Collapse
|
|
48
|
Sahar N, Razzak A, Kanji ZS, Coy DL, Kozarek R, Ross AS, Gluck M, Larsen M, Irani S, Gan SI. New guidelines for use of endoscopic ultrasound for evaluation and risk stratification of pancreatic cystic lesions may be too conservative. Surg Endosc 2018; 32:2420-2426. [PMID: 29288277 DOI: 10.1007/s00464-017-5941-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2017] [Accepted: 10/17/2017] [Indexed: 12/11/2022]
Abstract
BACKGROUND The role of EUS in managing asymptomatic pancreatic cystic lesions (PCLs) remains unresolved. We retrospectively evaluated EUS in risk stratification of PCLs when adhering to the most recent AGA guidelines. METHODS Asymptomatic PCLs that were evaluated by EUS from January 2014 to December 2014 were retrospectively reviewed including associated cytology, fluid analysis, and relevant surgical pathology. Cross-sectional imaging reports were reviewed blindly by an expert radiologist using AGA risk stratification terminology. Accepted imaging high-risk features (HRF) included cyst diameter > 3 cm, dilated upstream pancreatic ducts, and a solid component in the cyst. RESULTS We reviewed 125 patients who underwent EUS. Expert review of cross-sectional imaging resulted in a different interpretation 25% of the time including 1 malignant cyst. Ninety-three patients (75%) had no HRFs on cross-sectional imaging; 28 patients (22%) were diagnosed with 1 HRF and 4 patients (3%) had 2 HRFs. Adhering to AGA guidelines using 2 HRF as threshold for use of EUS, the diagnosis of malignant and high-risk premalignant lesions (including pancreatic adenocarcinoma, mucinous cystadenoma, neuroendocrine tumors, and IPMN with dysplasia) had a 40% sensitivity and 100% specificity. Had EUS been utilized based on a threshold of 1 HRF on imaging, malignant and high-risk premalignant lesions would have been identified with 80% sensitivity and 95% specificity. By adding EUS to radiographic imaging, the specificity for detecting carcinomas (p = 0.0009) and detection of all premalignant lesions (p = 0.003) statistically improved. Furthermore, EUS allowed 14 patients (11%) to avoid further surveillance by lowering their risk stratification. CONCLUSION EUS remains an essential risk stratification modality for incidental PCLs. Current guideline suggestions of its utility may be too stringent. Our study justifies expert radiology review when managing PCLs. Further studies are required to identify the optimal approach to PCL management.
Collapse
Affiliation(s)
- Nadav Sahar
- Division of Gastroenterology and Hepatology, Virginia Mason Medical Center, 1100 Ninth Avenue, C3-GAS, Seattle, WA, 98101, USA
| | - Anthony Razzak
- Division of Gastroenterology and Hepatology, Virginia Mason Medical Center, 1100 Ninth Avenue, C3-GAS, Seattle, WA, 98101, USA
| | - Zaheer S Kanji
- Division of Gastroenterology and Hepatology, Virginia Mason Medical Center, 1100 Ninth Avenue, C3-GAS, Seattle, WA, 98101, USA
| | - David L Coy
- Department of Radiology, Virginia Mason Medical Center, Seattle, WA, USA
| | - Richard Kozarek
- Division of Gastroenterology and Hepatology, Virginia Mason Medical Center, 1100 Ninth Avenue, C3-GAS, Seattle, WA, 98101, USA
| | - Andrew S Ross
- Division of Gastroenterology and Hepatology, Virginia Mason Medical Center, 1100 Ninth Avenue, C3-GAS, Seattle, WA, 98101, USA
| | - Michael Gluck
- Division of Gastroenterology and Hepatology, Virginia Mason Medical Center, 1100 Ninth Avenue, C3-GAS, Seattle, WA, 98101, USA
| | - Michael Larsen
- Division of Gastroenterology and Hepatology, Virginia Mason Medical Center, 1100 Ninth Avenue, C3-GAS, Seattle, WA, 98101, USA
| | - Shayan Irani
- Division of Gastroenterology and Hepatology, Virginia Mason Medical Center, 1100 Ninth Avenue, C3-GAS, Seattle, WA, 98101, USA
| | - S Ian Gan
- Division of Gastroenterology and Hepatology, Virginia Mason Medical Center, 1100 Ninth Avenue, C3-GAS, Seattle, WA, 98101, USA.
| |
Collapse
|
|
49
|
The European Study Group on Cystic Tumours of the Pancreas. European evidence-based guidelines on pancreatic cystic neoplasms. Gut 2018; 67:789-804. [PMID: 29574408 PMCID: PMC5890653 DOI: 10.1136/gutjnl-2018-316027] [Citation(s) in RCA: 875] [Impact Index Per Article: 125.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2018] [Revised: 02/13/2018] [Accepted: 02/13/2018] [Indexed: 02/07/2023]
Abstract
Evidence-based guidelines on the management of pancreatic cystic neoplasms (PCN) are lacking. This guideline is a joint initiative of the European Study Group on Cystic Tumours of the Pancreas, United European Gastroenterology, European Pancreatic Club, European-African Hepato-Pancreato-Biliary Association, European Digestive Surgery, and the European Society of Gastrointestinal Endoscopy. It replaces the 2013 European consensus statement guidelines on PCN. European and non-European experts performed systematic reviews and used GRADE methodology to answer relevant clinical questions on nine topics (biomarkers, radiology, endoscopy, intraductal papillary mucinous neoplasm (IPMN), mucinous cystic neoplasm (MCN), serous cystic neoplasm, rare cysts, (neo)adjuvant treatment, and pathology). Recommendations include conservative management, relative and absolute indications for surgery. A conservative approach is recommended for asymptomatic MCN and IPMN measuring <40 mm without an enhancing nodule. Relative indications for surgery in IPMN include a main pancreatic duct (MPD) diameter between 5 and 9.9 mm or a cyst diameter ≥40 mm. Absolute indications for surgery in IPMN, due to the high-risk of malignant transformation, include jaundice, an enhancing mural nodule >5 mm, and MPD diameter >10 mm. Lifelong follow-up of IPMN is recommended in patients who are fit for surgery. The European evidence-based guidelines on PCN aim to improve the diagnosis and management of PCN.
Collapse
|
|
50
|
Permuth JB, Choi J, Balarunathan Y, Kim J, Chen DT, Chen L, Orcutt S, Doepker MP, Gage K, Zhang G, Latifi K, Hoffe S, Jiang K, Coppola D, Centeno BA, Magliocco A, Li Q, Trevino J, Merchant N, Gillies R, Malafa M. Combining radiomic features with a miRNA classifier may improve prediction of malignant pathology for pancreatic intraductal papillary mucinous neoplasms. Oncotarget 2018; 7:85785-85797. [PMID: 27589689 PMCID: PMC5349874 DOI: 10.18632/oncotarget.11768] [Citation(s) in RCA: 100] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2016] [Accepted: 07/14/2016] [Indexed: 12/21/2022] Open
Abstract
Intraductal papillary mucinous neoplasms (IPMNs) are pancreatic cancer precursors incidentally discovered by cross-sectional imaging. Consensus guidelines for IPMN management rely on standard radiologic features to predict pathology, but they lack accuracy. Using a retrospective cohort of 38 surgically-resected, pathologically-confirmed IPMNs (20 benign; 18 malignant) with preoperative computed tomography (CT) images and matched plasma-based ‘miRNA genomic classifier (MGC)’ data, we determined whether quantitative ‘radiomic’ CT features (+/- the MGC) can more accurately predict IPMN pathology than standard radiologic features ‘high-risk’ or ‘worrisome’ for malignancy. Logistic regression, principal component analyses, and cross-validation were used to examine associations. Sensitivity, specificity, positive and negative predictive value (PPV, NPV) were estimated. The MGC, ‘high-risk,’ and ‘worrisome’ radiologic features had area under the receiver operating characteristic curve (AUC) values of 0.83, 0.84, and 0.54, respectively. Fourteen radiomic features differentiated malignant from benign IPMNs (p<0.05) and collectively had an AUC=0.77. Combining radiomic features with the MGC revealed an AUC=0.92 and superior sensitivity (83%), specificity (89%), PPV (88%), and NPV (85%) than other models. Evaluation of uncertainty by 10-fold cross-validation retained an AUC>0.80 (0.87 (95% CI:0.84-0.89)). This proof-of-concept study suggests a noninvasive radiogenomic approach may more accurately predict IPMN pathology than ‘worrisome’ radiologic features considered in consensus guidelines.
Collapse
Affiliation(s)
- Jennifer B Permuth
- Cancer Epidemiology, Moffitt Cancer Center and Research Institute, Tampa, Florida, USA.,Gastrointestinal Oncology, Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Jung Choi
- Diagnostic Imaging and Interventional Radiology, Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Yoganand Balarunathan
- Cancer Imaging and Metabolism, Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Jongphil Kim
- Biostatistics and Bioinformatics, Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Dung-Tsa Chen
- Biostatistics and Bioinformatics, Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Lu Chen
- Biostatistics and Bioinformatics, Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Sonia Orcutt
- Gastrointestinal Oncology, Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Matthew P Doepker
- Department of Clinical Surgery/Surgical Oncology, Palmetto Health/USC School of Medicine, Columbia, South Carolina, USA
| | - Kenneth Gage
- Diagnostic Imaging and Interventional Radiology, Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Geoffrey Zhang
- Cancer Imaging and Metabolism, Moffitt Cancer Center and Research Institute, Tampa, Florida, USA.,Radiation Oncology, Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Kujtim Latifi
- Cancer Imaging and Metabolism, Moffitt Cancer Center and Research Institute, Tampa, Florida, USA.,Radiation Oncology, Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Sarah Hoffe
- Gastrointestinal Oncology, Moffitt Cancer Center and Research Institute, Tampa, Florida, USA.,Radiation Oncology, Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Kun Jiang
- Anatomic Pathology, Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Domenico Coppola
- Anatomic Pathology, Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Barbara A Centeno
- Anatomic Pathology, Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Anthony Magliocco
- Anatomic Pathology, Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Qian Li
- Cancer Imaging and Metabolism, Moffitt Cancer Center and Research Institute, Tampa, Florida, USA.,Department of Radiology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Jose Trevino
- Department of Surgery, Division of General Surgery, University of Florida Health Sciences Center, Gainesville, Florida, USA
| | - Nipun Merchant
- Department of Surgery, Sylvester Comprehensive Cancer Center at the University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Robert Gillies
- Cancer Imaging and Metabolism, Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Mokenge Malafa
- Gastrointestinal Oncology, Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | | |
Collapse
|