The impacts of computer-aided detection of colorectal polyps on subsequent colonoscopy surveillance intervals: Simulation study Journal Article


Authors: Lui, K. L. T.; Liu, S. H. K.; Leung, K.; Wu, J. T.; Zauber, A. G.; Leung, W. K.
Article Title: The impacts of computer-aided detection of colorectal polyps on subsequent colonoscopy surveillance intervals: Simulation study
Abstract: BACKGROUND: Computer-aided detection (CADe) of colorectal polyps has been shown to increase adenoma detection rates, which would potentially shorten subsequent surveillance intervals. OBJECTIVE: The purpose of this study is to simulate the potential changes in subsequent colonoscopy surveillance intervals after the application of CADe in a large cohort of patients. METHODS: We simulated the projected increase in polyp and adenoma detection by universal CADe application in our patients who had undergone colonoscopy with complete endoscopic and histological findings between 2016 and 2020. The simulation was based on bootstrapping the published performance of CADe. The corresponding changes in surveillance intervals for each patient, as recommended by the US Multi-Society Task Force on Colorectal Cancer (USMSTF) or the European Society of Gastrointestinal Endoscopy (ESGE), were determined after the CADe was determined. RESULTS: A total of 3735 patients who had undergone colonoscopy were included. Based on the simulated CADe effect, the application of CADe would result in 19.1% (n=714) and 1.9% (n=71) of patients having shorter surveillance intervals, according to the USMSTF and ESGE guidelines, respectively. In particular, all (or 2.7% (n=101) of the total) patients who were originally scheduled to have 3-5 years of surveillance would have their surveillance intervals shortened to 3 years, following the USMSTF guidelines. The changes in this group of patients were largely attributed to an increase in the number of adenomas (n=75, 74%) rather than serrated lesions being detected. CONCLUSIONS: Widespread adoption of CADe would inevitably increase the demand for surveillance colonoscopies with the shortening of original surveillance intervals, particularly following the current USMSTF guideline. ©Ka Luen Thomas Lui, Sze Hang Kevin Liu, Kathy Leung, Joseph T Wu, Ann G Zauber, Wai Keung Leung. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 10.02.2023.
Keywords: diagnostic imaging; colorectal neoplasms; simulation; computer; computers; adenoma; artificial intelligence; colonoscopy; colorectal tumor; endoscopy; colon polyp; colonic polyps; polyp; surveillance; surveillance colonoscopy; endoscopic; detect; colonic polyp; humans; human; computer-aided; simulated
Journal Title: Journal of Medical Internet Research
Volume: 25
ISSN: 1438-8871
Publisher: JMIR Publications, Inc  
Date Published: 2023-01-01
Start Page: e42665
Language: English
DOI: 10.2196/42665
PUBMED: 36763451
PROVIDER: scopus
PMCID: PMC9960036
DOI/URL:
Notes: Article -- Export Date: 1 March 2023 -- Source: Scopus
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  1. Ann G Zauber
    314 Zauber