Thomas Ka Luen Lui, Carla Pui-Mei Lam, Vivien Wai-Man Tsui, Rex Wan-Hin Hui, Elvis Wai-Pan To, Loey Lung-Yi Mak, Michael Kwan-Lung Ko, Kevin Sze-Hang Liu, Cynthia Ka-Yin Hui, Jing Jia Liu, Xiao Xiao, Wai K Leung
{"title":"Prospective evaluation of artificial intelligence-assisted monitoring of the effective withdrawal time on adenoma detection.","authors":"Thomas Ka Luen Lui, Carla Pui-Mei Lam, Vivien Wai-Man Tsui, Rex Wan-Hin Hui, Elvis Wai-Pan To, Loey Lung-Yi Mak, Michael Kwan-Lung Ko, Kevin Sze-Hang Liu, Cynthia Ka-Yin Hui, Jing Jia Liu, Xiao Xiao, Wai K Leung","doi":"10.5217/ir.2025.00262","DOIUrl":null,"url":null,"abstract":"<p><strong>Background/aims: </strong>Standard withdrawal time (SWT) is a recognized colonoscopy quality metric but may not capture mucosal examination quality. We developed an artificial intelligence (AI)-derived metric, effective withdrawal time (EWT), to quantify clear mucosal visualization. This study prospectively evaluated EWT versus SWT on adenoma detection rate (ADR) and other metrics.</p><p><strong>Methods: </strong>In this prospective single-center study, patients undergoing colonoscopy were enrolled. EWT was calculated in real-time using an AI system with endoscopists blinded to results. Multivariable analyses assessed the association of EWT and SWT with binary (e.g., ADR) and count outcomes (e.g., adenoma or polyp per colonoscopy [APC or PPC]), adjusting for patient and procedural characteristics.</p><p><strong>Results: </strong>We analyzed 193 colonoscopies by 16 endoscopists. After adjustment, each 1-minute EWT increase was associated with higher odds of adenoma detection (ADR: odds ratio [OR], 1.38; 95% confidence interval [CI], 1.15-1.67) and a > 2-fold increase in adenomas detected per procedure (APC: incidence rate ratio [IRR], 2.14; 95% CI, 1.97-2.32). Both parameters were significantly better with EWT than SWT (OR, 1.38 vs. 1.06; P< 0.01 for ADR; IRR, 2.14 vs. 1.15; P= 0.02 for APC). EWT demonstrated stronger correlation with APC (R2 = 0.97) and PPC (R2 = 0.96) than SWT (R2 = 0.67 and 0.68, respectively; P< 0.01).</p><p><strong>Conclusions: </strong>AI-derived EWT is a novel quality indicator reflecting mucosal examination thoroughness, serving as a stronger, more independent predictor of ADR than SWT. (Clinical Trials.gov identifier: NCT06063720).</p>","PeriodicalId":14481,"journal":{"name":"Intestinal Research","volume":" ","pages":""},"PeriodicalIF":4.7000,"publicationDate":"2026-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Intestinal Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5217/ir.2025.00262","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GASTROENTEROLOGY & HEPATOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background/aims: Standard withdrawal time (SWT) is a recognized colonoscopy quality metric but may not capture mucosal examination quality. We developed an artificial intelligence (AI)-derived metric, effective withdrawal time (EWT), to quantify clear mucosal visualization. This study prospectively evaluated EWT versus SWT on adenoma detection rate (ADR) and other metrics.
Methods: In this prospective single-center study, patients undergoing colonoscopy were enrolled. EWT was calculated in real-time using an AI system with endoscopists blinded to results. Multivariable analyses assessed the association of EWT and SWT with binary (e.g., ADR) and count outcomes (e.g., adenoma or polyp per colonoscopy [APC or PPC]), adjusting for patient and procedural characteristics.
Results: We analyzed 193 colonoscopies by 16 endoscopists. After adjustment, each 1-minute EWT increase was associated with higher odds of adenoma detection (ADR: odds ratio [OR], 1.38; 95% confidence interval [CI], 1.15-1.67) and a > 2-fold increase in adenomas detected per procedure (APC: incidence rate ratio [IRR], 2.14; 95% CI, 1.97-2.32). Both parameters were significantly better with EWT than SWT (OR, 1.38 vs. 1.06; P< 0.01 for ADR; IRR, 2.14 vs. 1.15; P= 0.02 for APC). EWT demonstrated stronger correlation with APC (R2 = 0.97) and PPC (R2 = 0.96) than SWT (R2 = 0.67 and 0.68, respectively; P< 0.01).
Conclusions: AI-derived EWT is a novel quality indicator reflecting mucosal examination thoroughness, serving as a stronger, more independent predictor of ADR than SWT. (Clinical Trials.gov identifier: NCT06063720).
期刊介绍:
Intestinal Research (Intest Res) is the joint official publication of the Asian Organization for Crohn''s and Colitis (AOCC), Chinese Society of IBD (CSIBD), Japanese Society for IBD (JSIBD), Korean Association for the Study of Intestinal Diseases (KASID), Taiwan Society of IBD (TSIBD) and Colitis Crohn''s Foundation (India) (CCF, india). The aim of the Journal is to provide broad and in-depth analysis of intestinal diseases, especially inflammatory bowel disease, which shows increasing tendency and significance. As a Journal specialized in clinical and translational research in gastroenterology, it encompasses multiple aspects of diseases originated from the small and large intestines. The Journal also seeks to propagate and exchange useful innovations, both in ideas and in practice, within the research community. As a mode of scholarly communication, it encourages scientific investigation through the rigorous peer-review system and constitutes a qualified and continual platform for sharing studies of researchers and practitioners. Specifically, the Journal presents up-to-date coverage of medical researches on the physiology, epidemiology, pathophysiology, clinical presentations, and therapeutic interventions of the intestinal diseases. General topics of interest include inflammatory bowel disease, colon and small intestine cancer or polyp, endoscopy, irritable bowel syndrome and other motility disorders, infectious enterocolitis, intestinal tuberculosis, and so forth. The Journal publishes diverse types of academic materials such as editorials, clinical and basic reviews, original articles, case reports, letters to the editor, brief communications, perspective, statement or commentary, and images that are useful to clinicians and researchers.