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Clinical Trial Summary

In this study, the investigators used the optical flow method to measure the colonoscopy withdrawal speed, and doctors were selected from multiple hospitals to collect prospective colonoscopy screening videos, and the percentage of colonoscopy withdrawal overspeed was calculated to explore the relationship between it based on optical flow method and the adenoma detection rate.


Clinical Trial Description

Study showed that adequate withdrawal time is an important prerequisite for full mucosal inspection. In a large population-based analysis, a 1-min increase in withdrawal time led to a 3.6% increase in the ADR. Protocols or expert consensus recommend a standard withdrawal time of 6 min or longer. However, Findings of studies showed that a number of colonoscopies had a withdrawal time less than 6 min, which greatly reduces the ADR. Investigator's preliminary experiments have shown that deep learning can monitor the colonoscopy withdrawal time in real-time and improve the adenoma detection rate. Based on the above rich foundation of preliminary work and the massive demand for improving the colonoscopy withdrawal assessment system. The investigators improved EndoAngel to use optical flow method to monitor the colonoscopy withdrawal speed. The performance of the EndoAngel system was verified in colonoscopy videos. The investigators then aimed to evaluate whether the EndoAngel system could improve polyp detection rate after restricting the colonoscopy withdrawal speed. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT05444166
Study type Observational
Source Renmin Hospital of Wuhan University
Contact Honggang Yu, Doctor
Phone 8613871281899
Email yuhonggang@whu.edu.cn
Status Recruiting
Phase
Start date July 29, 2022
Completion date November 29, 2023

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