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1
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Patel VV, Bechara R, Rai M. Dysplasia and Malignancy in Colonic Polyps: Preparing for a Resect and Discard Strategy in Canada. JGH Open 2025; 9:e70113. [PMID: 40109880 PMCID: PMC11920585 DOI: 10.1002/jgh3.70113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2024] [Revised: 01/19/2025] [Accepted: 02/03/2025] [Indexed: 03/22/2025]
Abstract
Background/Aims Colonoscopies are commonly performed to evaluate and remove polyps. Currently, at most centers in Canada, all resected polyps are submitted for histologic examination. A resect and discard strategy has not been widely adopted in the Canadian population. The objective of this study was to characterize polyps and their rates of dysplasia. Methods/Results Colonoscopies and pathology reports were analyzed at a tertiary care hospital. We recorded polyp size, histology, and the presence of high-grade dysplasia (HGD)/cancer. Out of a total of 2218 colonoscopies, 2945 polyps were removed. In descending order, tubular adenomas, hyperplastic, sessile serrated, tubulovillous, and inflammatory polyps represented 67.4%, 16.2%, 9.9%, 5.6%, and 0.8% of all polyps, respectively. Regarding size, 1703 polyps were between 1 and 5 mm, with only 2 (0.12%) showing HGD. Similarly, in the 6-9 mm group, there were 699 polyps, with only 3 (0.43%) showing HGD. Neither of these groups had evidence of cancer. In contrast, the > 10 mm group had 543 polyps, of which 87 (16.02%) showed HGD, and 15 (2.76%) exhibited cancer. In our patient population, only 0.04% of patients would have a change in their screening interval due to HGD in polyps that were < 5 mm in size. Conclusions Based on these findings, a resect and discard strategy should be further evaluated for diminutive polyps in this population. While current recommendations for post-polypectomy screening include pathological assessment, further research on screening intervals based on size, location, and optical diagnosis may reduce resource utilization without compromising outcomes.
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Affiliation(s)
- Vishesh V Patel
- Department of Medicine Queen's University Kingston Ontario Canada
| | - Robert Bechara
- Department of Medicine Queen's University Kingston Ontario Canada
- Gastrointestinal Diseases Research Unit Kingston General Hospital Kingston Ontario Canada
| | - Mandip Rai
- Department of Medicine Queen's University Kingston Ontario Canada
- Gastrointestinal Diseases Research Unit Kingston General Hospital Kingston Ontario Canada
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2
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Halvorsen N, Barua I, Kudo SE, Gulati S, Misawa M, Mori K, Hayee B, Olabintan O, Nilsen JA, Frigstad SO, East JE, Rastogi A, Hassan C, Kalager M, Løberg M, Holme Ø, Haji A, Bretthauer M, Mori Y. Leaving colorectal polyps in situ with endocytoscopy assisted by computer-aided diagnosis: a cost-effectiveness study. Endoscopy 2025. [PMID: 39999970 DOI: 10.1055/a-2532-9282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/27/2025]
Abstract
BACKGROUND Computer-aided diagnosis (CADx) enables the distinction between neoplastic and non-neoplastic polyps during colonoscopy. We aimed to estimate the patient-level benefit and harm of CADx. METHODS We conducted a comparative analysis on data from the EndoBRAIN international clinical trial, evaluating the effect of optical diagnosis during colonoscopy with and without CADx. Three hypothetical scenarios were compared: "endoscopist-alone" and "CADx-assisted" leave-in-situ strategies (leaving non-neoplastic rectosigmoid polyps ≤ 5 mm), and "total removal" (removing all detected polyps). Primary outcomes included patient-level colonoscopy-related cost and surveillance interval agreement (colorectal cancer risk category). Estimates were calculated based on national reimbursement rates and guidelines in four countries. RESULTS We analyzed 1134 patients (59 % men, median age 67 years) with 1716 polyps. Compared with total removal, the endoscopist-alone and CADx-assisted leave-in-situ strategies reduced the removed polyps per patient from 1.51 (95 %CI 1.48-1.54) to 1.18 (95 %CI 1.16-1.20) and 1.12 (95 %CI 1.00-1.14), respectively; however, 0.023 (95 %CI 0.015-0.033) and 0.021 (95 %CI 0.014-0.031) neoplasms per patient were left in situ, respectively. The mean colonoscopy cost decreased by $44 (endoscopist alone) and $46 (CADx assistance) in the USA, $22 and $19 in the UK, $21 and $19 in Japan, and $32 and $30 in Norway, respectively. Surveillance interval agreement decreased to 99.2 % (endoscopist alone) and 99.0 % (CADx assistance) in the USA, 99.8 % and 99.8 % in the UK, 97.9 % and 97.1 % in Japan, and 99.9 % and 99.9 % in Norway, respectively. CONCLUSIONS Both endoscopist-alone and CADx-assisted optical diagnosis reduce colonoscopy costs. The risk of missed adenomas and surveillance interval deviations appear marginal.
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Affiliation(s)
- Natalie Halvorsen
- Clinical Effectiveness Research Group, University of Oslo, Oslo, Norway
- Clinical Effectiveness Research Group, Oslo University Hospital, Oslo, Norway
| | - Ishita Barua
- Clinical Effectiveness Research Group, University of Oslo, Oslo, Norway
- Clinical Effectiveness Research Group, Oslo University Hospital, Oslo, Norway
| | - Shin-Ei Kudo
- Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Japan
| | - Shraddha Gulati
- King's Institute of Therapeutic Endoscopy, King's College Hospital NHS Foundation Trust, London, UK
| | - Masashi Misawa
- Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Japan
| | - Kensaku Mori
- Graduate School of Informatics, Nagoya University, Nagoya, Japan
| | - Bu'Hussain Hayee
- King's Institute of Therapeutic Endoscopy, King's College Hospital NHS Foundation Trust, London, UK
| | - Olaolu Olabintan
- King's Institute of Therapeutic Endoscopy, King's College Hospital NHS Foundation Trust, London, UK
| | - Jens Aksel Nilsen
- Clinical Effectiveness Research Group, University of Oslo, Oslo, Norway
- Clinical Effectiveness Research Group, Oslo University Hospital, Oslo, Norway
- Department of Medicine, Baerum Hospital, Vestre Viken Hospital Trust, Gjettum, Norway
| | - Svein Oskar Frigstad
- Department of Medicine, Baerum Hospital, Vestre Viken Hospital Trust, Gjettum, Norway
| | - James E East
- Translational Gastroenterology Unit, John Radcliffe Hospital, University of Oxford, and Oxford NIHR Biomedical Research Centre, Oxford, United Kingdom
| | - Amit Rastogi
- Division of Gastroenterology, University of Kansas Medical Center, Kansas City, KS, USA
| | - Cesare Hassan
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
- IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Mette Kalager
- Clinical Effectiveness Research Group, University of Oslo, Oslo, Norway
- Clinical Effectiveness Research Group, Oslo University Hospital, Oslo, Norway
| | - Magnus Løberg
- Clinical Effectiveness Research Group, University of Oslo, Oslo, Norway
- Clinical Effectiveness Research Group, Oslo University Hospital, Oslo, Norway
| | - Øyvind Holme
- Clinical Effectiveness Research Group, University of Oslo, Oslo, Norway
- Clinical Effectiveness Research Group, Oslo University Hospital, Oslo, Norway
- Department of Research, Sørlandet Hospital Health Trust, Kristiansand, Norway
| | - Amyn Haji
- King's Institute of Therapeutic Endoscopy, King's College Hospital NHS Foundation Trust, London, UK
| | - Michael Bretthauer
- Clinical Effectiveness Research Group, University of Oslo, Oslo, Norway
- Clinical Effectiveness Research Group, Oslo University Hospital, Oslo, Norway
| | - Yuichi Mori
- Clinical Effectiveness Research Group, University of Oslo, Oslo, Norway
- Clinical Effectiveness Research Group, Oslo University Hospital, Oslo, Norway
- Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Japan
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Djinbachian R, Taghiakbari M, Alj A, Medawar E, Sidani S, Liu Chen Kiow J, Panzini B, Bouin M, von Renteln D. Virtual scale endoscope versus snares for accuracy of size measurement of smaller colorectal polyps: a randomized controlled trial. Endoscopy 2025. [PMID: 39557063 DOI: 10.1055/a-2475-0244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/20/2024]
Abstract
Accurate measurement of polyp size during colonoscopy is crucial for informing clinical decisions such as resection technique and surveillance scheduling. This study aimed to compare the accuracy of polyp size measurement when using a virtual scale endoscope (VSE) or snare-based polyp size measurement.This randomized controlled trial enrolled 221 patients undergoing screening, surveillance, or diagnostic outpatient colonoscopies. Study subjects were randomized to have polyps detected during the colonoscopy measured for size either using the VSE or a snare of known size to estimate the size of each polyp. All polyps were measured for reference size directly after their removal from the colon using a digital caliper and before formalin fixation.93 polyps were included in the VSE group and 102 in the snare group. The VSE demonstrated significantly higher relative accuracy (80.0% [95%CI 77.0%-82.9%]) compared with snare-based size estimation (66.4% [95%CI 62.4%-70.5%]; P < 0.001). Misclassification rates were lower with the VSE for polyps >2 mm (13.1% vs. 39.3%) and >3 mm (22.6% vs. 55.4%). For diminutive polyps, the VSE better prevented misclassification of >5 mm polyps as 1-5 mm (21.4% vs. 73.0%). The VSE also outperformed snare-based estimation in measuring within 10% of the reference standard size (30.1% vs. 18.6%) and had lower rates of size underestimation (36.5% vs. 65.7%).Using the VSE improves the accuracy of polyp size measurement during colonoscopy in comparison with snare-based size estimation. In clinical scenarios, the VSE reduced misclassifications at clinically relevant size thresholds 2, 3, and 5 mm, which is relevant for the correct choice of polypectomy technique or when implementing resect-and-discard strategies.
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Affiliation(s)
- Roupen Djinbachian
- Gastroenterology, Centre de recherche du CHUM, Montreal, Canada
- Gastroenterology, Centre Hospitalier de l'Universite de Montreal, Montreal, Canada
| | - Mahsa Taghiakbari
- Gastroenterology, Centre de recherche du CHUM, Montreal, Canada
- Gastroenterology, Centre Hospitalier de l'Universite de Montreal, Montreal, Canada
| | - Abla Alj
- Internal Medicine, Centre de recherche du CHUM, Montreal, Canada
| | - Edgard Medawar
- Gastroenterology, Centre de recherche du CHUM, Montreal, Canada
| | - Sacha Sidani
- Gastroenterology, Centre Hospitalier de l'Universite de Montreal, Montreal, Canada
| | - Jeremy Liu Chen Kiow
- Gastroenterology, Centre Hospitalier de l'Universite de Montreal, Montreal, Canada
| | - Benoit Panzini
- Gastroenterology, Centre Hospitalier de l'Universite de Montreal, Montreal, Canada
| | - Mickael Bouin
- Gastroenterology, Centre Hospitalier de l'Universite de Montreal, Montreal, Canada
| | - Daniel von Renteln
- Gastroenterology, Centre de recherche du CHUM, Montreal, Canada
- Gastroenterology, Centre Hospitalier de l'Universite de Montreal, Montreal, Canada
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Khalaf K, Rizkala T, Repici A. The use of artificial intelligence in colonoscopic evaluations. Curr Opin Gastroenterol 2025; 41:3-8. [PMID: 39480883 DOI: 10.1097/mog.0000000000001063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/02/2024]
Abstract
PURPOSE OF REVIEW This review aims to highlight the transformative impact of artificial intelligence in the field of gastrointestinal endoscopy, particularly in the detection and characterization of colorectal polyps. RECENT FINDINGS Over the past decade, artificial intelligence has significantly advanced the medical industry, including gastrointestinal endoscopy. Computer aided diagnosis - detection (CADe) systems have shown notable success in increasing ADR. Recent meta-analyses of RCTs have demonstrated that patients undergoing colonoscopy with CADe assistance had a higher ADR compared with conventional methods. Similarly, computer aided diagnosis - characterization (CADx) systems have proven effective in distinguishing between adenomatous and nonadenomatous polyps, enhancing diagnostic confidence and supporting cost-saving measures like the resect-and-discard strategy. Despite the high performance of these systems, the variability in real-world adoption highlights the importance of integrating artificial intelligence as an assistive tool rather than a replacement for human expertise. SUMMARY Artificial intelligence integration in colonoscopy, through CADe and CADx systems, marks a significant advancement in gastroenterology. These systems enhance lesion detection and characterization, leading to improved diagnostic accuracy, training outcomes, and clinical workflow efficiency. While artificial intelligence offers substantial benefits, the optimal approach involves using artificial intelligence to augment the expertise of endoscopists, ensuring that clinical decisions remain under human oversight.
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Affiliation(s)
- Kareem Khalaf
- Division of Gastroenterology, St. Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Tommy Rizkala
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele
- Humanitas Clinical and Research Center IRCCS, Endoscopy Unit, Rozzano, Milan, Italy
| | - Alessandro Repici
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele
- Humanitas Clinical and Research Center IRCCS, Endoscopy Unit, Rozzano, Milan, Italy
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Djinbachian R, Rex DK, von Renteln D. Optical Polyp Diagnosis in the Era or Artificial Intelligence. Am J Gastroenterol 2024:00000434-990000000-01436. [PMID: 39526672 DOI: 10.14309/ajg.0000000000003195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2024] [Accepted: 11/05/2024] [Indexed: 11/16/2024]
Abstract
The development of new image enhancement modalities and improved endoscopic imaging quality has not led to increased adoption of resect-and-discard in routine practice. Studies have shown that endoscopists have the capacity to achieve quality thresholds to perform optical diagnosis; however, this has not led to acceptance of optical diagnosis as a replacement for pathology for diminutive (1-5 mm) polyps. In recent years, artificial intelligence (AI)-based computer-assisted characterization of diminutive polyps has recently emerged as a strategy that could potentially represent a breakthrough technology to enable widespread adoption of resect-and-discard. Recent evidence suggests that pathology-based diagnosis is suboptimal, as polyp nonretrieval, fragmentation, sectioning errors, incorrect diagnosis as "normal mucosa," and interpathologist variability limit the efficacy of pathology for the diagnosis of 1-5 mm polyps. New paradigms in performing polyp diagnosis with or without AI have emerged to compete with pathology in terms of efficacy. Strategies, such as autonomous AI, AI-assisted human diagnosis, AI-unassisted human diagnosis, and combined strategies have been proposed as potential paradigms for resect-and-discard, although further research is still required to determine the optimal strategy. Implementation studies with high patient acceptance, where polyps are truly being discarded without histologic diagnosis, are paving the way toward normalizing resect-and-discard in routine clinical practice. Ultimately the largest challenges for computer-assisted characterization remain liability perceptions from endoscopists. The potential benefits of AI-based resect-and-discard are many, with very little potential harm. Real-world implementation studies are therefore required to pave the way for the acceptability of such strategies in routine practice.
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Affiliation(s)
- Roupen Djinbachian
- Division of Gastroenterology, University of Montreal Hospital Center (CHUM), Montreal, Quebec, Canada
- Division of Gastroenterology, University of Montreal Hospital Research Center (CRCHUM), Montreal, Quebec, Canada
| | - Douglas K Rex
- Division of Gastroenterology, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Daniel von Renteln
- Division of Gastroenterology, University of Montreal Hospital Center (CHUM), Montreal, Quebec, Canada
- Division of Gastroenterology, University of Montreal Hospital Research Center (CRCHUM), Montreal, Quebec, Canada
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Lee M, Ko HM, Kudose S, Remotti H, Choi WT, Salomao MA, Zhao L, Isidro RA, Liao X, Ettel MG, Chen IY, Liu X, Pai R, Alpert L, Setia N, Wu E, Henn P, Westbrook L, Lagana SM. High risk features in colorectal adenomatous polyps: A multi-institutional study. Ann Diagn Pathol 2024; 72:152323. [PMID: 38733674 DOI: 10.1016/j.anndiagpath.2024.152323] [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: 03/08/2024] [Revised: 04/25/2024] [Accepted: 05/06/2024] [Indexed: 05/13/2024]
Abstract
High risk features in colorectal adenomatous polyps include size >1 cm and advanced histology: high-grade dysplasia and villous architecture. We investigated whether the diagnostic rates of advanced histology in colorectal adenomatous polyps were similar among institutions across the United States, and if not, could differences be explained by patient age, polyp size, and/or CRC rate. Nine academic institutions contributed data from three pathologists who had signed out at least 100 colorectal adenomatous polyps each from 2018 to 2019 taken from patients undergoing screening colonoscopy. For each case, we recorded patient age and sex, polyp size and location, concurrent CRC, and presence or absence of HGD and villous features. A total of 2700 polyps from 1886 patients (mean age: 61 years) were collected. One hundred twenty-four (5 %) of the 2700 polyps had advanced histology, including 35 (1 %) with HGD and 101 (4 %) with villous features. The diagnostic rate of advanced histology varied by institution from 1.7 % to 9.3 % (median: 4.3 %, standard deviation [SD]: 2.5 %). The rate of HGD ranged from 0 % to 3.3 % (median: 1 %, SD: 1.2 %), while the rate of villous architecture varied from 1 % to 8 % (median: 3.7 %, SD: 2.5 %). In a multivariate analysis, the factor most strongly associated with advanced histology was polyp size >1 cm with an odds ratio (OR) of 31.82 (95 % confidence interval [CI]: 20.52-50.25, p < 0.05). Inter-institutional differences in the rate of polyps >1 cm likely explain some of the diagnostic variance, but pathologic subjectivity may be another contributing factor.
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Affiliation(s)
- Michael Lee
- Columbia University Medical Center, United States of America.
| | | | - Satoru Kudose
- Columbia University Medical Center, United States of America
| | - Helen Remotti
- Columbia University Medical Center, United States of America
| | - Won-Tak Choi
- University of California San Francisco, United States of America
| | | | - Lei Zhao
- Brigham and Women's Hospital, Harvard Medical School, United States of America
| | - Raymond A Isidro
- Brigham and Women's Hospital, Harvard Medical School, United States of America
| | - Xiaoyan Liao
- University of Rochester Medical Center, United States of America
| | - Mark G Ettel
- University of Rochester, United States of America
| | - Irene Y Chen
- University of Rochester Medical Center, United States of America
| | - Xiaoqin Liu
- University of Rochester Medical Center, United States of America
| | - Reetesh Pai
- UPMC Presbyterian Hospital, United States of America
| | | | | | - Elizabeth Wu
- Rhode Island Hospital, Brown University, United States of America
| | - Patrick Henn
- University of Colorado Anschutz Medical Campus, United States of America
| | - Lindsey Westbrook
- University of Colorado Anschutz Medical Campus, United States of America
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7
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Djinbachian R, Haumesser C, Taghiakbari M, Pohl H, Barkun A, Sidani S, Liu Chen Kiow J, Panzini B, Bouchard S, Deslandres E, Alj A, von Renteln D. Autonomous Artificial Intelligence vs Artificial Intelligence-Assisted Human Optical Diagnosis of Colorectal Polyps: A Randomized Controlled Trial. Gastroenterology 2024; 167:392-399.e2. [PMID: 38331204 DOI: 10.1053/j.gastro.2024.01.044] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 01/15/2024] [Accepted: 01/30/2024] [Indexed: 02/10/2024]
Abstract
BACKGROUND & AIMS Artificial intelligence (AI)-based optical diagnosis systems (CADx) have been developed to allow pathology prediction of colorectal polyps during colonoscopies. However, CADx systems have not yet been validated for autonomous performance. Therefore, we conducted a trial comparing autonomous AI to AI-assisted human (AI-H) optical diagnosis. METHODS We performed a randomized noninferiority trial of patients undergoing elective colonoscopies at 1 academic institution. Patients were randomized into (1) autonomous AI-based CADx optical diagnosis of diminutive polyps without human input or (2) diagnosis by endoscopists who performed optical diagnosis of diminutive polyps after seeing the real-time CADx diagnosis. The primary outcome was accuracy in optical diagnosis in both arms using pathology as the gold standard. Secondary outcomes included agreement with pathology for surveillance intervals. RESULTS A total of 467 patients were randomized (238 patients/158 polyps in the autonomous AI group and 229 patients/179 polyps in the AI-H group). Accuracy for optical diagnosis was 77.2% (95% confidence interval [CI], 69.7-84.7) in the autonomous AI group and 72.1% (95% CI, 65.5-78.6) in the AI-H group (P = .86). For high-confidence diagnoses, accuracy for optical diagnosis was 77.2% (95% CI, 69.7-84.7) in the autonomous AI group and 75.5% (95% CI, 67.9-82.0) in the AI-H group. Autonomous AI had statistically significantly higher agreement with pathology-based surveillance intervals compared to AI-H (91.5% [95% CI, 86.9-96.1] vs 82.1% [95% CI, 76.5-87.7]; P = .016). CONCLUSIONS Autonomous AI-based optical diagnosis exhibits noninferior accuracy to endoscopist-based diagnosis. Both autonomous AI and AI-H exhibited relatively low accuracy for optical diagnosis; however, autonomous AI achieved higher agreement with pathology-based surveillance intervals. (ClinicalTrials.gov, Number NCT05236790).
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Affiliation(s)
- Roupen Djinbachian
- Montreal University Hospital Research Center, Montreal, Quebec, Canada; Division of Gastroenterology, Montreal University Hospital Center, Montreal, Quebec, Canada
| | - Claire Haumesser
- Montreal University Hospital Research Center, Montreal, Quebec, Canada
| | - Mahsa Taghiakbari
- Montreal University Hospital Research Center, Montreal, Quebec, Canada; Division of Gastroenterology, Montreal University Hospital Center, Montreal, Quebec, Canada
| | - Heiko Pohl
- Section of Gastroenterology, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire; Department of Gastroenterology, Veterans Affairs White River Junction, Vermont
| | - Alan Barkun
- Division of Gastroenterology, McGill University and McGill University Health Center, Montreal, Quebec, Canada
| | - Sacha Sidani
- Division of Gastroenterology, Montreal University Hospital Center, Montreal, Quebec, Canada
| | - Jeremy Liu Chen Kiow
- Division of Gastroenterology, Montreal University Hospital Center, Montreal, Quebec, Canada
| | - Benoit Panzini
- Division of Gastroenterology, Montreal University Hospital Center, Montreal, Quebec, Canada
| | - Simon Bouchard
- Division of Gastroenterology, Montreal University Hospital Center, Montreal, Quebec, Canada
| | - Erik Deslandres
- Division of Gastroenterology, Montreal University Hospital Center, Montreal, Quebec, Canada
| | - Abla Alj
- Division of Internal Medicine, Montreal University Hospital Center, Montreal, Quebec, Canada
| | - Daniel von Renteln
- Montreal University Hospital Research Center, Montreal, Quebec, Canada; Division of Gastroenterology, Montreal University Hospital Center, Montreal, Quebec, Canada.
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Rondonotti E, Bergna IMB, Paggi S, Amato A, Andrealli A, Scardino G, Tamanini G, Lenoci N, Mandelli G, Terreni N, Rocchetto SI, Piagnani A, Di Paolo D, Bina N, Filippi E, Ambrosiani L, Hassan C, Correale L, Radaelli F. White light computer-aided optical diagnosis of diminutive colorectal polyps in routine clinical practice. Endosc Int Open 2024; 12:E676-E683. [PMID: 38774861 PMCID: PMC11108657 DOI: 10.1055/a-2303-0922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 04/04/2024] [Indexed: 05/24/2024] Open
Abstract
Background and study aims Artificial Intelligence (AI) systems could make the optical diagnosis (OD) of diminutive colorectal polyps (DCPs) more reliable and objective. This study was aimed at prospectively evaluating feasibility and diagnostic performance of AI-standalone and AI-assisted OD of DCPs in a real-life setting by using a white light-based system (GI Genius, Medtronic Co, Minneapolis, Minnesota, United States). Patients and methods Consecutive colonoscopy outpatients with at least one DCP were evaluated by 11 endoscopists (5 experts and 6 non-experts in OD). DCPs were classified in real time by AI (AI-standalone OD) and by the endoscopist with the assistance of AI (AI-assisted OD), with histopathology as the reference standard. Results Of the 480 DCPs, AI provided the outcome "adenoma" or "non-adenoma" in 81.4% (95% confidence interval [CI]: 77.5-84.6). Sensitivity, specificity, positive and negative predictive value, and accuracy of AI-standalone OD were 97.0% (95% CI 94.0-98.6), 38.1% (95% CI 28.9-48.1), 80.1% (95% CI 75.2-84.2), 83.3% (95% CI 69.2-92.0), and 80.5% (95% CI 68.7-82.8%), respectively. Compared with AI-standalone, the specificity of AI-assisted OD was significantly higher (58.9%, 95% CI 49.7-67.5) and a trend toward an increase was observed for other diagnostic performance measures. Overall accuracy and negative predictive value of AI-assisted OD for experts and non-experts were 85.8% (95% CI 80.0-90.4) vs. 80.1% (95% CI 73.6-85.6) and 89.1% (95% CI 75.6-95.9) vs. 80.0% (95% CI 63.9-90.4), respectively. Conclusions Standalone AI is able to provide an OD of adenoma/non-adenoma in more than 80% of DCPs, with a high sensitivity but low specificity. The human-machine interaction improved diagnostic performance, especially when experts were involved.
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Affiliation(s)
| | - Irene Maria Bambina Bergna
- Gastroenterology Unit, Valduce Hospital, Como, Italy
- University of Milan, Milano, Italy
- Gastroenterology and Digestive Endoscopy Unit, Alessandro Manzoni Hospital, Lecco, Italy
| | - Silvia Paggi
- Gastroenterology Unit, Valduce Hospital, Como, Italy
| | - Arnaldo Amato
- Gastroenterology Unit, Valduce Hospital, Como, Italy
- Gastroenterology and Digestive Endoscopy Unit, Alessandro Manzoni Hospital, Lecco, Italy
| | | | | | | | | | | | | | - SImone Rocchetto
- Gastroenterology Unit, Valduce Hospital, Como, Italy
- University of Milan, Milano, Italy
| | - Alessandra Piagnani
- Gastroenterology Unit, Valduce Hospital, Como, Italy
- University of Milan, Milano, Italy
| | | | - Niccolò Bina
- Gastroenterology Unit, Valduce Hospital, Como, Italy
| | | | | | - Cesare Hassan
- Department of Gastroenterology, IRCCS Humanitas Research Hospital, Rozzano, Italy
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy
| | - Loredana Correale
- Department of Gastroenterology, IRCCS Humanitas Research Hospital, Rozzano, Italy
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9
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Groza AL, Miutescu B, Tefas C, Popa A, Ratiu I, Sirli R, Popescu A, Motofelea AC, Tantau M. Evaluating the Efficacy of Resect-and-Discard and Resect-and-Retrieve Strategies for Diminutive Colonic Polyps. Life (Basel) 2024; 14:532. [PMID: 38672802 PMCID: PMC11051488 DOI: 10.3390/life14040532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2024] [Revised: 04/11/2024] [Accepted: 04/18/2024] [Indexed: 04/28/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Diminutive polyps present a unique challenge in colorectal cancer (CRC) prevention strategies. This study aims to assess the characteristics and variables of diminutive polyps in a Romanian cohort, intending to develop a combined resect-and-retrieve or resect-and-discard strategy that reduces the need for an optical diagnosis. MATERIALS AND METHODS A prospective cohort study was conducted at two endoscopy centers in Romania from July to December 2021. Adult patients undergoing colonoscopies where polyps were identified and resected were included. Endoscopic procedures employed advanced diagnostic features, including blue-light imaging (BLI) and narrow-band imaging (NBI). Logistic regression analysis was utilized to determine factors impacting the probability of adenomatous polyps with high-grade dysplasia (HGD). RESULTS A total of 427 patients were included, with a mean age of 59.42 years (±11.19), predominantly male (60.2%). The most common indication for a colonoscopy was lower gastrointestinal symptoms (42.6%), followed by screening (28.8%). Adequate bowel preparation was achieved in 87.8% of cases. The logistic regression analysis revealed significant predictors of HGD in adenomatous polyps: age (OR = 1.05, 95% CI: 1.01-1.08, p = 0.01) and polyp size (>5 mm vs. ≤5 mm, OR = 4.4, 95% CI: 1.94-10.06, p < 0.001). Polyps classified as Paris IIa, Ip, and Isp were significantly more likely to harbor HGD compared to the reference group (Is), with odds ratios of 6.05, 3.68, and 2.7, respectively. CONCLUSIONS The study elucidates significant associations between the presence of HGD in adenomatous polyps and factors such as age, polyp size, and Paris classification. These findings support the feasibility of a tailored approach in the resect-and-discard and resect-and-retrieve strategies for diminutive polyps, potentially optimizing CRC prevention and intervention practices. Further research is warranted to validate these strategies in broader clinical settings.
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Affiliation(s)
- Andrei Lucian Groza
- 3rd Department of Internal Medicine, Iuliu Haţieganu University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania; (A.L.G.); (C.T.); (M.T.)
| | - Bogdan Miutescu
- Advanced Regional Research Center in Gastroenterology and Hepatology, Department VII: Internal Medicine II, Discipline of Gastroenterology and Hepatology, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania; (A.P.); (I.R.); (R.S.); (A.P.)
| | - Cristian Tefas
- 3rd Department of Internal Medicine, Iuliu Haţieganu University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania; (A.L.G.); (C.T.); (M.T.)
- Regional Institute of Gastroenterology and Hepatology “Prof. Dr. Octavian Fodor”, 400162 Cluj-Napoca, Romania
| | - Alexandru Popa
- Advanced Regional Research Center in Gastroenterology and Hepatology, Department VII: Internal Medicine II, Discipline of Gastroenterology and Hepatology, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania; (A.P.); (I.R.); (R.S.); (A.P.)
| | - Iulia Ratiu
- Advanced Regional Research Center in Gastroenterology and Hepatology, Department VII: Internal Medicine II, Discipline of Gastroenterology and Hepatology, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania; (A.P.); (I.R.); (R.S.); (A.P.)
| | - Roxana Sirli
- Advanced Regional Research Center in Gastroenterology and Hepatology, Department VII: Internal Medicine II, Discipline of Gastroenterology and Hepatology, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania; (A.P.); (I.R.); (R.S.); (A.P.)
| | - Alina Popescu
- Advanced Regional Research Center in Gastroenterology and Hepatology, Department VII: Internal Medicine II, Discipline of Gastroenterology and Hepatology, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania; (A.P.); (I.R.); (R.S.); (A.P.)
| | - Alexandru Catalin Motofelea
- Department of Internal Medicine, Faculty of Medicine, “Victor Babeș” University of Medicine and Pharmacy, 300041 Timisoara, Romania;
| | - Marcel Tantau
- 3rd Department of Internal Medicine, Iuliu Haţieganu University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania; (A.L.G.); (C.T.); (M.T.)
- Regional Institute of Gastroenterology and Hepatology “Prof. Dr. Octavian Fodor”, 400162 Cluj-Napoca, Romania
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10
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Suzuki K, Kudo S, Kudo T, Misawa M, Mori Y, Ichimasa K, Maeda Y, Hayashi T, Wakamura K, Baba T, Ishda F, Hamatani S, Inoue H, Yokoyama K, Miyachi H. Diagnostic performance of endocytoscopy with normal pit-like structure sign for colorectal low-grade adenoma compared with conventional modalities. DEN OPEN 2024; 4:e238. [PMID: 37168271 PMCID: PMC10165464 DOI: 10.1002/deo2.238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 02/28/2023] [Accepted: 04/03/2023] [Indexed: 05/13/2023]
Abstract
Objectives A "resect-and-discard" strategy has been proposed for diminutive adenomas in the colorectum. However, this strategy is sometimes difficult to implement because of the lack of confidence in differentiating low-grade adenoma (LGA) from advanced lesions such as high-grade adenoma or carcinoma. To perform real-time precise diagnosis of LGA with high confidence, we assessed whether endocytoscopy (EC) diagnosis, considering normal pit-like structure (NP-sign), an excellent indicator of LGA, could have additional diagnostic potential compared with conventional modalities. Methods All the neoplastic lesions that were observed by non-magnifying narrow-band imaging (NBI), magnifying NBI (M-NBI), magnifying pit pattern, and EC prior to pathological examination between 2005 and 2018 were retrospectively investigated. The neoplastic lesions were classified into two categories: LGA and other neoplastic lesions. We assessed the differential diagnostic ability of EC with NP-sign between LGA and other neoplastic lesions compared with that of NBI, M-NBI, pit pattern, and conventional EC in terms of sensitivity, specificity, accuracy, and area under the receiver operating characteristic curve (AUC). Results A total of 1376 lesions from 1097 patients were eligible. The specificity (94.9%), accuracy (91.5%), and area under the receiver operating characteristic curve (0.95) of EC with NP-sign were significantly higher than those of NBI, M-NBI, pit pattern, and conventional EC. Conclusions EC diagnosis with NP-sign has significantly higher diagnostic performance for predicting colorectal LGA compared with the conventional modalities and enables stratification of neoplastic lesions for "resect-and-discard" with higher confidence.
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Affiliation(s)
- Kenichi Suzuki
- Digestive Disease CenterShowa University Northern Yokohama HospitalKanagawaJapan
- Suzuki Gastrointestinal ClinicAkitaJapan
| | - Shin‐ei Kudo
- Digestive Disease CenterShowa University Northern Yokohama HospitalKanagawaJapan
| | - Toyoki Kudo
- Digestive Disease CenterShowa University Northern Yokohama HospitalKanagawaJapan
- Tokyo Endoscopy ClinicTokyoJapan
| | - Masashi Misawa
- Digestive Disease CenterShowa University Northern Yokohama HospitalKanagawaJapan
| | - Yuichi Mori
- Digestive Disease CenterShowa University Northern Yokohama HospitalKanagawaJapan
- Clinical Effectiveness Research GroupInstitute of Health and SocietyUniversity of OsloOsloNorway
| | - Katsuro Ichimasa
- Digestive Disease CenterShowa University Northern Yokohama HospitalKanagawaJapan
| | - Yasuharu Maeda
- Digestive Disease CenterShowa University Northern Yokohama HospitalKanagawaJapan
| | - Takemasa Hayashi
- Digestive Disease CenterShowa University Northern Yokohama HospitalKanagawaJapan
| | - Kunihiko Wakamura
- Digestive Disease CenterShowa University Northern Yokohama HospitalKanagawaJapan
| | - Toshiyuki Baba
- Digestive Disease CenterShowa University Northern Yokohama HospitalKanagawaJapan
| | - Fumio Ishda
- Digestive Disease CenterShowa University Northern Yokohama HospitalKanagawaJapan
| | - Shigeharu Hamatani
- Digestive Disease CenterShowa University Northern Yokohama HospitalKanagawaJapan
- Hamatani‐kikakuTokyoJapan
| | - Haruhiro Inoue
- Digestive Disease CenterShowa University Koto Toyosu HospitalTokyoJapan
| | | | - Hideyuki Miyachi
- Digestive Disease CenterShowa University Northern Yokohama HospitalKanagawaJapan
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11
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van der Zander QEW, Schreuder RM, Thijssen A, Kusters CHJ, Dehghani N, Scheeve T, Winkens B, van der Ende - van Loon MCM, de With PHN, van der Sommen F, Masclee AAM, Schoon EJ. Artificial intelligence for characterization of diminutive colorectal polyps: A feasibility study comparing two computer-aided diagnosis systems. Artif Intell Gastrointest Endosc 2024; 5:90574. [DOI: 10.37126/aige.v5.i1.90574] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 01/11/2024] [Accepted: 02/02/2024] [Indexed: 02/20/2024] Open
Abstract
BACKGROUND Artificial intelligence (AI) has potential in the optical diagnosis of colorectal polyps.
AIM To evaluate the feasibility of the real-time use of the computer-aided diagnosis system (CADx) AI for ColoRectal Polyps (AI4CRP) for the optical diagnosis of diminutive colorectal polyps and to compare the performance with CAD EYETM (Fujifilm, Tokyo, Japan). CADx influence on the optical diagnosis of an expert endoscopist was also investigated.
METHODS AI4CRP was developed in-house and CAD EYE was proprietary software provided by Fujifilm. Both CADx-systems exploit convolutional neural networks. Colorectal polyps were characterized as benign or premalignant and histopathology was used as gold standard. AI4CRP provided an objective assessment of its characterization by presenting a calibrated confidence characterization value (range 0.0-1.0). A predefined cut-off value of 0.6 was set with values < 0.6 indicating benign and values ≥ 0.6 indicating premalignant colorectal polyps. Low confidence characterizations were defined as values 40% around the cut-off value of 0.6 (< 0.36 and > 0.76). Self-critical AI4CRP’s diagnostic performances excluded low confidence characterizations.
RESULTS AI4CRP use was feasible and performed on 30 patients with 51 colorectal polyps. Self-critical AI4CRP, excluding 14 low confidence characterizations [27.5% (14/51)], had a diagnostic accuracy of 89.2%, sensitivity of 89.7%, and specificity of 87.5%, which was higher compared to AI4CRP. CAD EYE had a 83.7% diagnostic accuracy, 74.2% sensitivity, and 100.0% specificity. Diagnostic performances of the endoscopist alone (before AI) increased non-significantly after reviewing the CADx characterizations of both AI4CRP and CAD EYE (AI-assisted endoscopist). Diagnostic performances of the AI-assisted endoscopist were higher compared to both CADx-systems, except for specificity for which CAD EYE performed best.
CONCLUSION Real-time use of AI4CRP was feasible. Objective confidence values provided by a CADx is novel and self-critical AI4CRP showed higher diagnostic performances compared to AI4CRP.
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Affiliation(s)
- Quirine Eunice Wennie van der Zander
- Department of Gastroenterology and Hepatology, Maastricht University Medical Center, Maastricht 6202 AZ, Netherlands
- GROW, School for Oncology and Reproduction, Maastricht University, Maastricht 6200 MD, Netherlands
| | - Ramon M Schreuder
- Division of Gastroenterology and Hepatology, Catharina Hospital Eindhoven, Eindhoven 5602 ZA, Netherlands
| | - Ayla Thijssen
- Department of Gastroenterology and Hepatology, Maastricht University Medical Center, Maastricht 6202 AZ, Netherlands
- GROW, School for Oncology and Reproduction, Maastricht University, Maastricht 6200 MD, Netherlands
| | - Carolus H J Kusters
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven 5600 MB, Netherlands
| | - Nikoo Dehghani
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven 5600 MB, Netherlands
| | - Thom Scheeve
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven 5600 MB, Netherlands
| | - Bjorn Winkens
- Department of Methodology and Statistics, Maastricht University, Postbus 616, 6200 MD Maastricht, Netherlands
- School for Public Health and Primary Care, Maastricht University, Maastricht 6200 MD, Netherlands
| | | | - Peter H N de With
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven 5600 MB, Netherlands
| | - Fons van der Sommen
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven 5600 MB, Netherlands
| | - Ad A M Masclee
- Department of Gastroenterology and Hepatology, Maastricht University Medical Center, Maastricht 6202 AZ, Netherlands
| | - Erik J Schoon
- GROW, School for Oncology and Reproduction, Maastricht University, Maastricht 6200 MD, Netherlands
- Division of Gastroenterology and Hepatology, Catharina Hospital Eindhoven, Eindhoven 5602 ZA, Netherlands
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12
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Djinbachian R, Popescu Crainic I, Pioche M, Saito Y, Sethi A, Chiu P, Marks J, Sebajang H, Pawlak K, Chennouf A, Benard F, Ide Y, Dang F, von Renteln D. Accuracy in Polyp Size Measurement Among Surgeons, Gastroenterologists, Trainees, and Experts: A Prospective Video-Based Study. Am J Gastroenterol 2024; 119:532-538. [PMID: 37713525 DOI: 10.14309/ajg.0000000000002494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Accepted: 08/25/2023] [Indexed: 09/17/2023]
Abstract
INTRODUCTION Polyp size determination plays an important role in endoscopic decision making and follow-up determination. However, there is a lack of knowledge of endoscopist accuracy for polyp sizing and efficacy of available tools for size measurement. Our aim was to compare the accuracy of visual assessment, snare, forceps, and virtual scale endoscope (VSE) in estimating polyp size among a diverse group of endoscopists. METHODS We conducted a prospective video-based study. One hundred twenty polyps measured and recorded along with all available measurement tools were randomized to visual assessment, snare, forceps, or VSE group. Eleven endoscopists conducted video-based measurement using the randomized measurement tool. Primary outcome was relative accuracy in polyp size measurement compared with caliper measurement immediately postresection. RESULTS One thousand three hundred twenty measurements were performed. VSE had statistically significantly higher relative accuracy when compared to forceps (79.3 vs 71.3%; P < 0.0001). Forceps had statistically significantly higher relative accuracy when compared to visual assessment (71.3 vs 63.6%; P = 0.0036). There was no statistically significant difference when comparing visual assessment and snare-based measurements (63.6 vs 62.8%; P = 0.797). Overall, 21.5% of polyps >5 mm were misclassified as ≤5 mm and 17.3% of polyps ≥10 mm were misclassified as <10 mm. VSE had the lowest percentage of polyps >5 mm misclassified as ≤5 mm (2.6%), polyps ≤5 mm misclassified as >5 mm (5.1%), and polyps <10 mm misclassified as ≥10 mm (1.7%). DISCUSSION Visual size estimation of polyps is inaccurate independently of training level, sex, and specialty. Size measurement accuracy can be improved using forceps and yields the highest relative accuracy when an adaptive scale technology is used.
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Affiliation(s)
- Roupen Djinbachian
- Montreal University Hospital Research Center, Montreal, Quebec, Canada
- Division of Gastroenterology, Montreal University Hospital Center (CHUM), Montreal, Quebec, Canada
| | - Ioana Popescu Crainic
- Montreal University Hospital Research Center, Montreal, Quebec, Canada
- Division of Internal Medicine, Montreal University Hospital Center (CHUM), Montreal, Quebec, Canada
| | - Mathieu Pioche
- Gastroenterology and Endoscopy Division, Edouard Herriot University Hospital, Hospices Civils de Lyon, France
| | - Yutaka Saito
- Endoscopy Division, National Cancer Center Hospital, Tokyo, Japan
| | - Amrita Sethi
- Division of Digestive and Liver Diseases, Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Philip Chiu
- Department of Surgery, Institute of Digestive Disease, Faculty of Medicine, The Chinese University of Hong Kong
| | - Jeffrey Marks
- Department of Surgery, University Hospitals Cleveland Medical Center, Cleveland, USA
| | - Herawaty Sebajang
- Division of Surgery, Montreal University Hospital Center (CHUM), Montreal, Quebec, Canada
| | - Katarzyna Pawlak
- Division of Gastroenterology and Hepatology, University of Toronto, Toronto, Ontario, Canada
| | - Anas Chennouf
- Division of Gastroenterology, Montreal University Hospital Center (CHUM), Montreal, Quebec, Canada
| | - Florence Benard
- Division of Surgery, Montreal University Hospital Center (CHUM), Montreal, Quebec, Canada
| | - Yutaro Ide
- Showa University Northern Yokohama Hospital, Digestive Disease Center, Yokohama, Japan
| | - Frances Dang
- Division of Gastroenterology and Hepatology, University of Toronto, Toronto, Ontario, Canada
| | - Daniel von Renteln
- Montreal University Hospital Research Center, Montreal, Quebec, Canada
- Division of Gastroenterology, Montreal University Hospital Center (CHUM), Montreal, Quebec, Canada
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Halvorsen N, Mori Y. Computer-aided polyp characterization in colonoscopy: sufficient performance or not? Clin Endosc 2024; 57:18-23. [PMID: 38178329 PMCID: PMC10834281 DOI: 10.5946/ce.2023.092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 05/03/2023] [Accepted: 05/24/2023] [Indexed: 01/06/2024] Open
Abstract
Computer-assisted polyp characterization (computer-aided diagnosis, CADx) facilitates optical diagnosis during colonoscopy. Several studies have demonstrated high sensitivity and specificity of CADx tools in identifying neoplastic changes in colorectal polyps. To implement CADx tools in colonoscopy, there is a need to confirm whether these tools satisfy the threshold levels that are required to introduce optical diagnosis strategies such as "diagnose-and-leave," "resect-and-discard" or "DISCARD-lite." In this article, we review the available data from prospective trials regarding the effect of multiple CADx tools and discuss whether they meet these thresholds.
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Affiliation(s)
- Natalie Halvorsen
- Clinical Effectiveness Research Group, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Yuichi Mori
- Clinical Effectiveness Research Group, Oslo University Hospital and University of Oslo, Oslo, Norway
- Department of Transplantation Medicine, Oslo University Hospital, Oslo, Norway
- Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Japan
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Leśniewska M, Patryn R, Kopystecka A, Kozioł I, Budzyńska J. Third Eye? The Assistance of Artificial Intelligence (AI) in the Endoscopy of Gastrointestinal Neoplasms. J Clin Med 2023; 12:6721. [PMID: 37959187 PMCID: PMC10650785 DOI: 10.3390/jcm12216721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Revised: 10/19/2023] [Accepted: 10/21/2023] [Indexed: 11/15/2023] Open
Abstract
Gastrointestinal cancers are characterized by high incidence and mortality. However, there are well-established methods of screening. The endoscopy exam provides the macroscopical image and enables harvesting the tissue samples for further histopathological diagnosis. The efficiency of endoscopies relies not only on proper patient preparation, but also on the skills of the personnel conducting the exam. In recent years, a number of reports concerning the application of artificial intelligence (AI) in medicine have arisen. Numerous studies aimed to assess the utility of deep learning/ neural network systems supporting endoscopies. In this review, we summarized the most recent reports and randomized clinical trials regarding the application of AI in screening and surveillance of gastrointestinal cancers among patients suffering from esophageal, gastric, and colorectal cancer, along with the advantages, limitations, and controversies of those novel solutions.
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Affiliation(s)
- Magdalena Leśniewska
- Students’ Scientific Circle on Medical Law at the Department of Humanities and Social Medicine, Medical University of Lublin, 20-093 Lublin, Poland; (M.L.); (A.K.); (I.K.); (J.B.)
| | - Rafał Patryn
- Department of Humanities and Social Medicine, Medical University of Lublin, 20-093 Lublin, Poland
| | - Agnieszka Kopystecka
- Students’ Scientific Circle on Medical Law at the Department of Humanities and Social Medicine, Medical University of Lublin, 20-093 Lublin, Poland; (M.L.); (A.K.); (I.K.); (J.B.)
| | - Ilona Kozioł
- Students’ Scientific Circle on Medical Law at the Department of Humanities and Social Medicine, Medical University of Lublin, 20-093 Lublin, Poland; (M.L.); (A.K.); (I.K.); (J.B.)
| | - Julia Budzyńska
- Students’ Scientific Circle on Medical Law at the Department of Humanities and Social Medicine, Medical University of Lublin, 20-093 Lublin, Poland; (M.L.); (A.K.); (I.K.); (J.B.)
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Antonelli G, Rizkala T, Iacopini F, Hassan C. Current and future implications of artificial intelligence in colonoscopy. Ann Gastroenterol 2023; 36:114-122. [PMID: 36864946 PMCID: PMC9932855 DOI: 10.20524/aog.2023.0781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Accepted: 12/20/2022] [Indexed: 02/05/2023] Open
Abstract
Gastrointestinal endoscopy has proved to be a perfect context for the development of artificial intelligence (AI) systems that can aid endoscopists in many tasks of their daily activities. Lesion detection (computer-aided detection, CADe) and lesion characterization (computer-aided characterization, CADx) during colonoscopy are the clinical applications of AI in gastroenterology for which by far the most evidence has been published. Indeed, they are the only applications for which more than one system has been developed by different companies, is currently available on the market, and may be used in clinical practice. Both CADe and CADx, alongside hopes and hypes, come with potential drawbacks, limitations and dangers that must be known, studied and researched as much as the optimal uses of these machines, aiming to stay one step ahead of the possible misuse of what will always be an aid to the clinician and never a substitute. An AI revolution in colonoscopy is on the way, but the potential uses are infinite and only a fraction of them have currently been studied. Future applications can be designed to ensure all aspects of colonoscopy quality parameters and truly deliver a standardization of practice, regardless of the setting in which the procedure is performed. In this review, we cover the available clinical evidence on AI applications in colonoscopy and offer an overview of future directions.
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Affiliation(s)
- Giulio Antonelli
- Gastroenterology and Digestive Endoscopy Unit, Ospedale dei Castelli Hospital, Ariccia, Rome (Giulio Antonelli, Federico Iacopini)
- Department of Anatomical, Histological, Forensic Medicine and Orthopedics Sciences, “Sapienza” University of Rome (Giulio Antonelli)
| | - Tommy Rizkala
- Department of Biomedical Sciences, Humanitas University, Rozzano, Milan (Tommy Rizkala, Cesare Hassan)
| | - Federico Iacopini
- Gastroenterology and Digestive Endoscopy Unit, Ospedale dei Castelli Hospital, Ariccia, Rome (Giulio Antonelli, Federico Iacopini)
| | - Cesare Hassan
- Department of Biomedical Sciences, Humanitas University, Rozzano, Milan (Tommy Rizkala, Cesare Hassan)
- IRCCS Humanitas Research Hospital, Rozzano, Milan (Cesare Hassan), Italy
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16
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The effectiveness of real-time computer-aided and quality control systems in colorectal adenoma and polyp detection during colonoscopies: a meta-analysis. Ann Med Surg (Lond) 2023; 85:80-91. [PMID: 36845807 PMCID: PMC9949794 DOI: 10.1097/ms9.0000000000000079] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 12/08/2022] [Indexed: 02/28/2023] Open
Abstract
This meta-analysis aims to quantify the effectiveness of artificial intelligence (AI)-supported colonoscopy compared to standard colonoscopy in adenoma detection rate (ADR) differences with the use of computer-aided detection and quality control systems. Moreover, the polyp detection rate (PDR) intergroup differences and withdrawal times will be analyzed. Methods This study was conducted adhering to PRISMA guidelines. Studies were searched across PubMed, CINAHL, EMBASE, Scopus, Cochrane, and Web of Science. Keywords including the following 'Artificial Intelligence, Polyp, Adenoma, Detection, Rate, Colonoscopy, Colorectal, Colon, Rectal' were used. Odds ratio (OR) applying 95% CI for PDR and ADR were computed. SMD with 95% CI for withdrawal times were computed using RevMan 5.4.1 (Cochrane). The risk of bias was assessed using the RoB 2 tool. Results Of 2562 studies identified, 11 trials were included comprising 6856 participants. Of these, 57.4% participants were in the AI group and 42.6% individuals were in in the standard group. ADR was higher in the AI group compared to the standard of care group (OR=1.51, P=0.003). PDR favored the intervened group compared to the standard group (OR=1.89, P<0.0001). A medium measure of effect was found for withdrawal times (SMD=0.25, P<0.0001), therefore with limited practical applications. Conclusion AI-supported colonoscopies improve PDR and ADR; however, no noticeable worsening of withdrawal times is noted. Colorectal cancers are highly preventable if diagnosed early-on. With AI-assisted tools in clinical practice, there is a strong potential to reduce the incidence rates of cancers in the near future.
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Artificial intelligence-assisted optical diagnosis for the resect-and-discard strategy in clinical practice: the Artificial intelligence BLI Characterization (ABC) study. Endoscopy 2023; 55:14-22. [PMID: 35562098 DOI: 10.1055/a-1852-0330] [Citation(s) in RCA: 59] [Impact Index Per Article: 29.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
BACKGROUND Optical diagnosis of colonic polyps is poorly reproducible outside of high volume referral centers. The present study aimed to assess whether real-time artificial intelligence (AI)-assisted optical diagnosis is accurate enough to implement the leave-in-situ strategy for diminutive (≤ 5 mm) rectosigmoid polyps (DRSPs). METHODS Consecutive colonoscopy outpatients with ≥ 1 DRSP were included. DRSPs were categorized as adenomas or nonadenomas by the endoscopists, who had differing expertise in optical diagnosis, with the assistance of a real-time AI system (CAD-EYE). The primary end point was ≥ 90 % negative predictive value (NPV) for adenomatous histology in high confidence AI-assisted optical diagnosis of DRSPs (Preservation and Incorporation of Valuable endoscopic Innovations [PIVI-1] threshold), with histopathology as the reference standard. The agreement between optical- and histology-based post-polypectomy surveillance intervals (≥ 90 %; PIVI-2 threshold) was also calculated according to European Society of Gastrointestinal Endoscopy (ESGE) and United States Multi-Society Task Force (USMSTF) guidelines. RESULTS Overall 596 DRSPs were retrieved for histology in 389 patients; an AI-assisted high confidence optical diagnosis was made in 92.3 %. The NPV of AI-assisted optical diagnosis for DRSPs (PIVI-1) was 91.0 % (95 %CI 87.1 %-93.9 %). The PIVI-2 threshold was met with 97.4 % (95 %CI 95.7 %-98.9 %) and 92.6 % (95 %CI 90.0 %-95.2 %) of patients according to ESGE and USMSTF, respectively. AI-assisted optical diagnosis accuracy was significantly lower for nonexperts (82.3 %, 95 %CI 76.4 %-87.3 %) than for experts (91.9 %, 95 %CI 88.5 %-94.5 %); however, nonexperts quickly approached the performance levels of experts over time. CONCLUSION AI-assisted optical diagnosis matches the required PIVI thresholds. This does not however offset the need for endoscopists' high level confidence and expertise. The AI system seems to be useful, especially for nonexperts.
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Taghiakbari M, Hammar C, Frenn M, Djinbachian R, Pohl H, Deslandres E, Bouchard S, Bouin M, von Renteln D. Non-optical polyp-based resect and discard strategy: A prospective clinical study. World J Gastroenterol 2022; 28:2137-2147. [PMID: 35664039 PMCID: PMC9134134 DOI: 10.3748/wjg.v28.i19.2137] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2022] [Revised: 03/21/2022] [Accepted: 04/09/2022] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Post-polypectomy surveillance intervals are currently determined based on pathology results. AIM To evaluate a polyp-based resect and discard model that assigns surveillance intervals based solely on polyp number and size. METHODS Patients undergoing elective colonoscopies at the Montreal University Medical Center were enrolled prospectively. The polyp-based strategy was used to assign the next surveillance interval using polyp size and number. Surveillance intervals were also assigned using optical diagnosis for small polyps (< 10 mm). The primary outcome was surveillance interval agreement between the polyp-based model, optical diagnosis, and the pathology-based reference standard using the 2020 United States Multi-Society Task Force guidelines. Secondary outcomes included the proportion of reduction in required histopathology evaluations and proportion of immediate post-colonoscopy recommendations provided to patients. RESULTS Of 944 patients (mean age 62.6 years, 49.3% male, 933 polyps) were enrolled. The surveillance interval agreement for the polyp-based strategy was 98.0% [95% confidence interval (CI): 0.97-0.99] compared with pathology-based assignment. Optical diagnosis-based intervals achieved 95.8% (95%CI: 0.94-0.97) agreement with pathology. When using the polyp-based strategy and optical diagnosis, the need for pathology assessment was reduced by 87.8% and 70.6%, respectively. The polyp-based strategy provided 93.7% of patients with immediate surveillance interval recommendations vs 76.1% for optical diagnosis. CONCLUSION The polyp-based strategy achieved almost perfect surveillance interval agreement compared with pathology-based assignments, significantly reduced the number of required pathology evaluations, and provided most patients with immediate surveillance interval recommendations.
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Affiliation(s)
- Mahsa Taghiakbari
- Department of Gastroenterology, Montreal University Hospital Research Center (CRCHUM), Montréal H2X 0A9, Quebec, Canada
| | - Celia Hammar
- Department of Gastroenterology, Montreal University Hospital Research Center (CRCHUM), Montréal H2X 0A9, Quebec, Canada
- Department of Gastroenterology, University of Montreal, Faculty of Medicine, Montreal H2X 0A9, Quebce, Canada
| | - Mira Frenn
- Department of Gastroenterology, Montreal University Hospital Research Center (CRCHUM), Montréal H2X 0A9, Quebec, Canada
- Department of Gastroenterology, University of Montreal, Faculty of Medicine, Montreal H2X 0A9, Quebce, Canada
| | - Roupen Djinbachian
- Department of Gastroenterology, Montreal University Hospital Research Center (CRCHUM), Montréal H2X 0A9, Quebec, Canada
- Department of Internal Medicine, University of Montreal Hospital Center (CHUM), Montreal H2X 0A9, Quebec, Canada
| | - Heiko Pohl
- Department of Medicine, Veterans Affairs Medical Center, White River Junction, VT 05009, United States
- Department of Gastroenterology, Dartmouth Geisel School of Medicine and The Dartmouth Institute, Hanover, NH 03755, United States
| | - Erik Deslandres
- Department of Gastroenterology, Montreal University Hospital Research Center (CRCHUM), Montréal H2X 0A9, Quebec, Canada
| | - Simon Bouchard
- Department of Gastroenterology, Montreal University Hospital Research Center (CRCHUM), Montréal H2X 0A9, Quebec, Canada
| | - Mickael Bouin
- Department of Gastroenterology, Montreal University Hospital Research Center (CRCHUM), Montréal H2X 0A9, Quebec, Canada
| | - Daniel von Renteln
- Department of Gastroenterology, Montreal University Hospital Research Center (CRCHUM), Montréal H2X 0A9, Quebec, Canada
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19
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Taghiakbari M, Pohl H, Djinbachian R, Barkun A, Marques P, Bouin M, Deslandres E, Panzini B, Bouchard S, Weber A, von Renteln D. The location-based resect and discard strategy for diminutive colorectal polyps: a prospective clinical study. Endoscopy 2022; 54:354-363. [PMID: 34448185 DOI: 10.1055/a-1546-9169] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
BACKGROUND Clinical implementation of the resect-and-discard strategy has been difficult because optical diagnosis is highly operator dependent. This prospective study aimed to evaluate a resect-and-discard strategy that is not operator dependent. METHODS The study evaluated a resect-and-discard strategy that uses the anatomical polyp location to classify colonic polyps into non-neoplastic or low risk neoplastic. All rectosigmoid diminutive polyps were considered hyperplastic and all polyps located proximally to the sigmoid colon were considered neoplastic. Surveillance interval assignments based on these a priori assumptions were compared with those based on actual pathology results and on optical diagnosis. The primary outcome was ≥ 90 % agreement with pathology in surveillance interval assignment. RESULTS 1117 patients undergoing complete colonoscopy were included and 482 (43.1 %) had at least one diminutive polyp. Surveillance interval agreement between the location-based strategy and pathological findings using the 2020 US Multi-Society Task Force guideline was 97.0 % (95 % confidence interval [CI] 0.96-0.98), surpassing the ≥ 90 % benchmark. Optical diagnoses using the NICE and Sano classifications reached 89.1 % and 90.01 % agreement, respectively (P < 0.001), and were inferior to the location-based strategy. The location-based resect-and-discard strategy allowed a 69.7 % (95 %CI 0.67-0.72) reduction in pathology examinations compared with 55.3 % (95 %CI 0.52-0.58; NICE and Sano) and 41.9 % (95 %CI 0.39-0.45; WASP) with optical diagnosis. CONCLUSION The location-based resect-and-discard strategy achieved very high surveillance interval agreement with pathology-based surveillance interval assignment, surpassing the ≥ 90 % benchmark and outperforming optical diagnosis in surveillance interval agreement and the number of pathology examinations avoided.
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Affiliation(s)
- Mahsa Taghiakbari
- University of Montréal, Montréal, Quebec, Canada.,University of Montréal Hospital Research Center (CRCHUM), Montréal, Quebec, Canada
| | - Heiko Pohl
- Department of Veterans Affairs Medical Center, White River Junction, Vermont, USA.,Dartmouth Geisel School of Medicine and The Dartmouth Institute, Hanover, New Hampshire, USA
| | - Roupen Djinbachian
- University of Montréal Hospital Research Center (CRCHUM), Montréal, Quebec, Canada.,Division of Internal Medicine, University of Montréal Hospital Center (CHUM), Montréal, Quebec, Canada
| | - Alan Barkun
- Division of Gastroenterology, McGill University Health Center, McGill University, Montréal, Quebec, Canada
| | - Paola Marques
- Faculty of Medicine, Bahia State University, Salvador, Bahia, Brazil
| | - Mickael Bouin
- University of Montréal Hospital Research Center (CRCHUM), Montréal, Quebec, Canada.,Division of Gastroenterology, University of Montréal Hospital Center (CHUM), Montréal, Quebec, Canada
| | - Eric Deslandres
- Division of Gastroenterology, University of Montréal Hospital Center (CHUM), Montréal, Quebec, Canada
| | - Benoit Panzini
- Division of Gastroenterology, University of Montréal Hospital Center (CHUM), Montréal, Quebec, Canada
| | - Simon Bouchard
- University of Montréal Hospital Research Center (CRCHUM), Montréal, Quebec, Canada.,Division of Gastroenterology, University of Montréal Hospital Center (CHUM), Montréal, Quebec, Canada
| | - Audrey Weber
- University of Montréal Hospital Research Center (CRCHUM), Montréal, Quebec, Canada.,Division of Gastroenterology, University of Montréal Hospital Center (CHUM), Montréal, Quebec, Canada
| | - Daniel von Renteln
- University of Montréal Hospital Research Center (CRCHUM), Montréal, Quebec, Canada.,Division of Gastroenterology, University of Montréal Hospital Center (CHUM), Montréal, Quebec, Canada
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20
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Zarandi-Nowroozi M, Djinbachian R, von Renteln D. Polypectomy for Diminutive and Small Colorectal Polyps. Gastrointest Endosc Clin N Am 2022; 32:241-257. [PMID: 35361334 DOI: 10.1016/j.giec.2021.12.009] [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: 02/07/2023]
Abstract
Diminutive and small colorectal polyps are common findings during colonoscopies, and rarely contain dysplastic elements and progress to colorectal cancer. With improving technology and the advent of artificial intelligence, detection rates of small or diminutive polyps and adenomas are rising, resulting in increasing costs associated with colonoscopy. Incomplete resection rates are an outcome of interest because it correlates with interval colorectal cancer. More effort is warranted to standardize training programs and sensitize endoscopists to the importance of personal performance as a quality metric of colonoscopy. This article reviews indications, methods, and recent developments in polypectomy for small and diminutive polyps.
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Affiliation(s)
- Melissa Zarandi-Nowroozi
- Department of Medicine, Division of Gastroenterology, Montreal University Hospital (CHUM) and Montreal University Hospital Research Center (CRCHUM), 900 Rue Saint-Denis, Montréal, QC H2X 0A9, Canada
| | - Roupen Djinbachian
- Department of Medicine, Division of Gastroenterology, Montreal University Hospital (CHUM) and Montreal University Hospital Research Center (CRCHUM), 900 Rue Saint-Denis, Montréal, QC H2X 0A9, Canada
| | - Daniel von Renteln
- Department of Medicine, Division of Gastroenterology, Montreal University Hospital (CHUM) and Montreal University Hospital Research Center (CRCHUM), 900 Rue Saint-Denis, Montréal, QC H2X 0A9, Canada.
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21
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Hazewinkel Y. The resect and discard strategy: a new kid on the block? Endoscopy 2022; 54:136-137. [PMID: 34384120 DOI: 10.1055/a-1493-2749] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/10/2022]
Affiliation(s)
- Yark Hazewinkel
- Department of Gastroenterology and Hepatology, Radboud University Medical Centre, Nijmegen, The Netherlands
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22
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Kandel P, Wallace MB. Advanced Imaging Techniques and In vivo Histology: Current Status and Future Perspectives (Lower G.I.). GASTROINTESTINAL AND PANCREATICO-BILIARY DISEASES: ADVANCED DIAGNOSTIC AND THERAPEUTIC ENDOSCOPY 2022:291-310. [DOI: 10.1007/978-3-030-56993-8_110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/03/2025]
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23
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Houwen BBSL, Hassan C, Coupé VMH, Greuter MJE, Hazewinkel Y, Vleugels JLA, Antonelli G, Bustamante-Balén M, Coron E, Cortas GA, Dinis-Ribeiro M, Dobru DE, East JE, Iacucci M, Jover R, Kuvaev R, Neumann H, Pellisé M, Puig I, Rutter MD, Saunders B, Tate DJ, Mori Y, Longcroft-Wheaton G, Bisschops R, Dekker E. Definition of competence standards for optical diagnosis of diminutive colorectal polyps: European Society of Gastrointestinal Endoscopy (ESGE) Position Statement. Endoscopy 2022; 54:88-99. [PMID: 34872120 DOI: 10.1055/a-1689-5130] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND : The European Society of Gastrointestinal Endoscopy (ESGE) has developed a core curriculum for high quality optical diagnosis training for practice across Europe. The development of easy-to-measure competence standards for optical diagnosis can optimize clinical decision-making in endoscopy. This manuscript represents an official Position Statement of the ESGE aiming to define simple, safe, and easy-to-measure competence standards for endoscopists and artificial intelligence systems performing optical diagnosis of diminutive colorectal polyps (1 - 5 mm). METHODS : A panel of European experts in optical diagnosis participated in a modified Delphi process to reach consensus on Simple Optical Diagnosis Accuracy (SODA) competence standards for implementation of the optical diagnosis strategy for diminutive colorectal polyps. In order to assess the clinical benefits and harms of implementing optical diagnosis with different competence standards, a systematic literature search was performed. This was complemented with the results from a recently performed simulation study that provides guidance for setting alternative competence standards for optical diagnosis. Proposed competence standards were based on literature search and simulation study results. Competence standards were accepted if at least 80 % agreement was reached after a maximum of three voting rounds. RECOMMENDATION 1: In order to implement the leave-in-situ strategy for diminutive colorectal lesions (1-5 mm), it is clinically acceptable if, during real-time colonoscopy, at least 90 % sensitivity and 80 % specificity is achieved for high confidence endoscopic characterization of colorectal neoplasia of 1-5 mm in the rectosigmoid. Histopathology is used as the gold standard.Level of agreement 95 %. RECOMMENDATION 2: In order to implement the resect-and-discard strategy for diminutive colorectal lesions (1-5 mm), it is clinically acceptable if, during real-time colonoscopy, at least 80 % sensitivity and 80 % specificity is achieved for high confidence endoscopic characterization of colorectal neoplasia of 1-5 mm. Histopathology is used as the gold standard.Level of agreement 100 %. CONCLUSION : The developed SODA competence standards define diagnostic performance thresholds in relation to clinical consequences, for training and for use when auditing the optical diagnosis of diminutive colorectal polyps.
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Affiliation(s)
- Britt B S L Houwen
- Department of Gastroenterology and Hepatology, Amsterdam University Medical Center, location AMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Cesare Hassan
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.,Endoscopy Unit, IRCCS Humanitas Clinical and Research Center, Rozzano, Milan, Italy
| | - Veerle M H Coupé
- Department of Epidemiology and Data Science, Amsterdam University Medical Center, location VUmc, Amsterdam, The Netherlands
| | - Marjolein J E Greuter
- Department of Epidemiology and Data Science, Amsterdam University Medical Center, location VUmc, Amsterdam, The Netherlands
| | - Yark Hazewinkel
- Department of Gastroenterology and Hepatology, Radboud University Medical Center, Radboud University, Nijmegen, The Netherlands
| | - Jasper L A Vleugels
- Department of Gastroenterology and Hepatology, Amsterdam University Medical Center, location AMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Giulio Antonelli
- Department of Anatomical, Histological, Forensic Medicine and Orthopedics Sciences, "Sapienza" University of Rome, Rome, Italy.,Gastroenterology and Digestive Endoscopy Unit, Ospedale dei Castelli Hospital, Ariccia, Rome, Italy
| | - Marco Bustamante-Balén
- Gastrointestinal Endoscopy Unit, Digestive Diseases Department, La Fe Polytechnic University Hospital, Valencia, Spain.,Gastrointestinal Endoscopy Research Group, La Fe Health Research Institute, Valencia, Spain
| | - Emmanuel Coron
- Institut des Maladies de l'Appareil Digestif, Nantes, France
| | - George A Cortas
- Division of Gastroenterology, University of Balamand, Faculty of Medicine, St. George Hospital University Medical Center, Beirut, Lebanon
| | - Mario Dinis-Ribeiro
- Porto Comprehensive Cancer Center (Porto.CCC), Porto, Portugal.,RISE@CI-IPOP (Health Research Network), Porto, Portugal
| | - Daniela E Dobru
- Gastroenterology Department, George Emil Palade University of Medicine, Pharmacy, Science and Technology of Targu Mures, Targu Mures, Romania
| | - James E East
- Translational Gastroenterology Unit, Nuffield Department of Medicine, Experimental Medicine Division, John Radcliffe Hospital, University of Oxford, Oxford, UK.,Division of Gastroenterology and Hepatology, Mayo Clinic Healthcare, London
| | - Marietta Iacucci
- Institute of Translational of Medicine, Institute of Immunology and Immunotherapy and NIHR Biomedical Research Centre, University of Birmingham and University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Rodrigo Jover
- Servicio de Medicina Digestiva, Hospital General Universitario de Alicante, Instituto de Investigación Sanitaria ISABIAL, Universidad Miguel Hernández, Alicante, Spain
| | - Roman Kuvaev
- Endoscopy Department, Yaroslavl Regional Cancer Hospital, Yaroslavl, Russian Federation.,Department of Gastroenterology, Faculty of Additional Professional Education, N.A. Pirogov Russian National Research Medical University, Moscow, Russian Federation
| | - Helmut Neumann
- Department of Medicine I, University Medical Center Mainz, Mainz, Germany.,GastroZentrum, Lippe, Germany
| | - Maria Pellisé
- Department of Gastroenterology, Hospital Clínic de Barcelona, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
| | - Ignasi Puig
- Digestive Diseases Department, Althaia Xarxa Assistencial Universitària de Manresa, Manresa, Spain.,Department of Medicine, Facultat de Ciències de la Salut, Universitat de Vic-Universitat Central de Catalunya (UVic-UCC), Manresa, Spain
| | - Matthew D Rutter
- Faculty of Medical Sciences, Newcastle University, Newcastle-upon-Tyne, UK.,University Hospital of North Tees , Stockton-on-Tees, UK
| | - Brian Saunders
- Department of Gastroenterology, St Mark's Hospital and Academic Institute, Harrow, UK
| | - David J Tate
- Department of Gastroenterology and Hepatology, University of Ghent, Ghent, Belgium.,University Hospital Ghent, Ghent, Belgium
| | - Yuichi Mori
- Clinical Effectiveness Research Group, Institute of Health and Society, University of Oslo, Oslo, Norway.,Section of Gastroenterology, Department of Transplantation Medicine, Oslo University Hospital, Oslo, Norway.,Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Japan
| | | | - Raf Bisschops
- Department of Gastroenterology and Hepatology, Catholic University of Leuven, (KUL), TARGID, University Hospital Leuven, Leuven, Belgium
| | - Evelien Dekker
- Department of Gastroenterology and Hepatology, Amsterdam University Medical Center, location AMC, University of Amsterdam, Amsterdam, The Netherlands
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24
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Taghiakbari M, Mori Y, von Renteln D. Artificial intelligence-assisted colonoscopy: A review of current state of practice and research. World J Gastroenterol 2021; 27:8103-8122. [PMID: 35068857 PMCID: PMC8704267 DOI: 10.3748/wjg.v27.i47.8103] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Revised: 08/22/2021] [Accepted: 12/08/2021] [Indexed: 02/06/2023] Open
Abstract
Colonoscopy is an effective screening procedure in colorectal cancer prevention programs; however, colonoscopy practice can vary in terms of lesion detection, classification, and removal. Artificial intelligence (AI)-assisted decision support systems for endoscopy is an area of rapid research and development. The systems promise improved detection, classification, screening, and surveillance for colorectal polyps and cancer. Several recently developed applications for AI-assisted colonoscopy have shown promising results for the detection and classification of colorectal polyps and adenomas. However, their value for real-time application in clinical practice has yet to be determined owing to limitations in the design, validation, and testing of AI models under real-life clinical conditions. Despite these current limitations, ambitious attempts to expand the technology further by developing more complex systems capable of assisting and supporting the endoscopist throughout the entire colonoscopy examination, including polypectomy procedures, are at the concept stage. However, further work is required to address the barriers and challenges of AI integration into broader colonoscopy practice, to navigate the approval process from regulatory organizations and societies, and to support physicians and patients on their journey to accepting the technology by providing strong evidence of its accuracy and safety. This article takes a closer look at the current state of AI integration into the field of colonoscopy and offers suggestions for future research.
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Affiliation(s)
- Mahsa Taghiakbari
- Department of Gastroenterology, CRCHUM, Montreal H2X 0A9, Quebec, Canada
| | - Yuichi Mori
- Clinical Effectiveness Research Group, University of Oslo, Oslo 0450, Norway
- Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama 224-8503, Japan
| | - Daniel von Renteln
- Department of Gastroenterology, CRCHUM, Montreal H2X 0A9, Quebec, Canada
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25
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Djinbachian R, Marchand E, Pohl H, Aguilera-Fish A, Bouin M, Deslandres É, Weber A, Bouchard S, Panzini B, von Renteln D. Optical diagnosis of colorectal polyps: a randomized controlled trial comparing endoscopic image-enhancing modalities. Gastrointest Endosc 2021; 93:712-719.e1. [PMID: 33275913 DOI: 10.1016/j.gie.2020.11.023] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Accepted: 11/18/2020] [Indexed: 02/08/2023]
Abstract
BACKGROUND AND AIMS Optical polyp diagnosis using image-enhanced endoscopy (IEE) allows for real-time histology prediction of colorectal polyps. The aim of this study was to evaluate a recently introduced IEE modality (Optivista [OV]; Pentax Medical, Tokyo, Japan) in a randomized controlled trial. METHODS In a prospective cohort of subjects (ages 45-80 years) undergoing elective screening, surveillance, or diagnostic colonoscopy, all colorectal polyps between 1 and 5 mm underwent IEE assessment. Study subjects were randomized before their colonoscopy procedure to undergo optical polyp diagnosis using either OV IEE or iScan (IS) IEE. A validated IEE scale (NBI International Colorectal Endoscopic classification) was used for optical polyp diagnosis. The primary outcome was the agreement of surveillance intervals determined when using OV IEE compared with IS IEE in reference with pathology-based surveillance intervals. Secondary outcomes were the percentage of surveillance intervals that could be given on the same day as the procedure, percentage of pathology tests avoided, diagnostic performance, and negative predictive value (NPV) of optical diagnosis for rectosigmoid adenomas. RESULTS Four hundred ten patients were enrolled in the trial. The polyp detection rate was 58.6%, and the adenoma detection rate was 38.8%. The proportion of correct surveillance interval assignment when using OV or IS IEE was 96.5% versus 96.0% (P = .75). A total of 65.1% of patients could be given same-day surveillance intervals when using OV IEE versus 73.1% for IS IEE (P = .07). The NPV for rectosigmoid adenomas (including sessile serrated adenomas) was 97.5% when using OV IEE and 88.2% when using IS IEE. Using high-confidence optical diagnosis instead of pathology would have resulted in a 44.3% elimination of required pathology examinations for OV IEE versus 52.8% for IS IEE (P = .34). CONCLUSIONS Optical diagnosis using OV and IS IEE both surpassed the 90% benchmark of surveillance interval assignment, and no significant difference with regard to correct surveillance interval assignment was found. OV IEE surpassed the ≥90% NPV for rectosigmoid adenomas, whereas IS IEE did not. (Clinical trial registration number: NCT03515343.).
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Affiliation(s)
- Roupen Djinbachian
- Division of Internal Medicine, Montreal University Hospital Center (CHUM) and Montreal University Hospital Research Center (CRCHUM), Montreal, Quebec, Canada
| | - Etienne Marchand
- Faculty of Medicine, University of Montreal and Montreal University Hospital Research Center (CRCHUM), Montreal, Quebec, Canada
| | - Heiko Pohl
- Division of Gastroenterology, Department of Veterans Affairs Medical Center, White River Junction, Vermont, USA; Division of Gastroenterology, Dartmouth Geisel School of Medicine, Hanover, New Hampshire, USA
| | - Andres Aguilera-Fish
- Division of Gastroenterology, Department of Veterans Affairs Medical Center, White River Junction, Vermont, USA; Division of Gastroenterology, Dartmouth Geisel School of Medicine, Hanover, New Hampshire, USA
| | - Mickael Bouin
- Division of Gastroenterology, Department of Medicine, Montreal University Hospital Center (CHUM) and Montreal University Hospital Research Center (CRCHUM), Montreal, Quebec, Canada
| | - Érik Deslandres
- Division of Gastroenterology, Department of Medicine, Montreal University Hospital Center (CHUM) and Montreal University Hospital Research Center (CRCHUM), Montreal, Quebec, Canada
| | - Audrey Weber
- Division of Gastroenterology, Department of Medicine, Montreal University Hospital Center (CHUM) and Montreal University Hospital Research Center (CRCHUM), Montreal, Quebec, Canada
| | - Simon Bouchard
- Division of Gastroenterology, Department of Medicine, Montreal University Hospital Center (CHUM) and Montreal University Hospital Research Center (CRCHUM), Montreal, Quebec, Canada
| | - Benoît Panzini
- Division of Gastroenterology, Department of Medicine, Montreal University Hospital Center (CHUM) and Montreal University Hospital Research Center (CRCHUM), Montreal, Quebec, Canada
| | - Daniel von Renteln
- Division of Gastroenterology, Department of Medicine, Montreal University Hospital Center (CHUM) and Montreal University Hospital Research Center (CRCHUM), Montreal, Quebec, Canada
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26
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Bisschops R, Dinis-Ribeiro M. Resect and discard: Is it ready or time to shift gear? Endosc Int Open 2020; 8:E924-E926. [PMID: 32617396 PMCID: PMC7297617 DOI: 10.1055/a-1178-9711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Affiliation(s)
- Raf Bisschops
- University Hospital Gasthuisberg, Gastroenterology, Belgium
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