Defining the next steps for artificial intelligence in colonoscopy

Burgess, Nicholas G.

doi:10.1055/a-1384-0485

Cited by 3 publications

(1 citation statement)

References 9 publications

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“…A recent modeling study further suggested that the use of CADe could potentially reduce colorectal cancer mortality [47]. However, CADe tends to detect more small lesions, which could lead to possible overdiagnosis as the future cancer risk of these small lesions remains debatable [48][49][50][51]. However, with the increase in the number of colonic lesions detected by CADe, the subsequent surveillance colonoscopy intervals may have to be shortened for some patients, as the current guideline was also based on the number of lesions detected [52].…”

Section: Introductionmentioning

confidence: 99%

The Impacts of Computer-Aided Detection of Colorectal Polyps on Subsequent Colonoscopy Surveillance Intervals: Simulation Study

Luen¹,

Liu²,

Leung³

et al. 2023

J Med Internet Res

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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.

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Section: Introductionmentioning

confidence: 99%

The Impacts of Computer-Aided Detection of Colorectal Polyps on Subsequent Colonoscopy Surveillance Intervals: Simulation Study

Luen¹,

Liu²,

Leung³

et al. 2023

J Med Internet Res

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Task-Aware Active Learning for Endoscopic Polyp Segmentation

Poudel,

Thapa,

Regmi

et al. 2024

Lecture Notes in Computer Science

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The Impacts of Computer-Aided Detection of Colorectal Polyps on Subsequent Colonoscopy Surveillance Intervals: Simulation Study (Preprint)

Luen¹,

Liu²,

Leung³

et al. 2022

Preprint

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BACKGROUND Computer-aided detection (CADe) of colorectal polyps has been shown to increase adenoma detection rates, which would potentially shorten subsequent surveillance intervals. OBJECTIVE We simulated the potential changes in subsequent colonoscopy surveillance intervals after 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. Simulation was based on bootstrapping of the published performance of CADe. The corresponding changes in surveillance intervals of each patient, as recommended by the United States Multi-Society Task Force on Colorectal Cancer (USMSTF) or the European Society of Gastrointestinal Endoscopy (ESGE), after CADe was determined. RESULTS A total of 5,514 patients who had undergone colonoscopy were included. Based on the simulated CADe effect, the application of CADe would result in 11.2% and 2.5% of patients to have a shorter surveillance interval according to the USMSTF and ESGE guidelines, respectively. In particular, all (or 3.3% total) patients who were originally scheduled to have 3-5 years surveillance would have surveillance interval shortened to 3 years, following the USMSTF guidelines. Of this group of patients, the changes were largely attributed to increase in number of adenomas (70.8%) rather than serrated lesions detected. CONCLUSIONS Widespread adoption of CADe would inevitably increase the demand for surveillance colonoscopy with shortening of original surveillance intervals, particularly following the current USMSTF guideline.

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Defining the next steps for artificial intelligence in colonoscopy

Cited by 3 publications

References 9 publications

The Impacts of Computer-Aided Detection of Colorectal Polyps on Subsequent Colonoscopy Surveillance Intervals: Simulation Study

The Impacts of Computer-Aided Detection of Colorectal Polyps on Subsequent Colonoscopy Surveillance Intervals: Simulation Study

Task-Aware Active Learning for Endoscopic Polyp Segmentation

The Impacts of Computer-Aided Detection of Colorectal Polyps on Subsequent Colonoscopy Surveillance Intervals: Simulation Study (Preprint)

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