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Updated: Jun 27, 2025
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Gastrointestinal Motility Monitor GIMM
Published on: December 1, 2010
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Development and validation of a novel colonoscopy withdrawal time indicator based on YOLOv5
Jiaxin Li1, Ziye Peng1, Xiangyu Wang1
1Medical School, Tianjin University, Tianjin, China.
Journal of Gastroenterology and Hepatology
|May 6, 2024
Summary
A new effective withdrawal time (WTS) indicator for colonoscopy quality assessment was developed using AI. This novel metric, measuring active lesion search time, shows promise for training and quality control.
Area of Science:
- Gastroenterology
- Medical Imaging
- Artificial Intelligence
Background:
- Colonoscopy withdrawal time (WT) is a key quality indicator.
- Assessing the time actively spent searching for lesions is crucial for colonoscopy effectiveness.
- A novel metric, effective withdrawal time (WTS), is proposed to quantify this active search time.
Purpose of the Study:
- To introduce and define the effective withdrawal time (WTS) indicator.
- To compare WTS with conventional withdrawal time (WT) in colonoscopy.
- To evaluate the utility of AI in computing WTS for quality assessment.
Main Methods:
- Retrospective analysis of colonoscopy videos from 472 patients.
- Computation of WTS using a combination of artificial intelligence (AI) and manual verification.
- Comparison of AI-computed WTS with manually verified WTS using Bland Altman plots.
Main Results:
- AI-computed WTS showed a significant correlation with manually verified WTS (r=0.918).
- Significant differences in WTS/WT ratios were observed across patient groups (P < 0.001).
- Variations in WTS patterns were noted between hospitals and physicians.
Conclusions:
- AI-assisted computation of WTS offers a promising alternative to traditional WT.
- WTS can serve as a valuable tool for colonoscopy quality control.
- The WTS metric aids in assessing training effectiveness and physician performance.
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