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Multi-center Validation of a Deep Learning Based Bowel Preparation Evaluation System

Adenoma Clinical Trial

Official title:
Validation of a Deep Learning Based Bowel Preparation Evaluation System: A Prospective, Multi-center, Cross-sectional Study

Clinical Trial Summary

A deep learning based system to calculate the proportion of Boston Bowel Prep Scale (BBPS) score of 0-1 during withdrawal phase has been constructed previously. This multi-center study is going to perform a prospective observational study to validate the threshold of the adequate proportion.

Clinical Trial Description

Inadequate bowel preparation is insufficient for identification of polyps greater than 5 mm. However, bowel preparation assessment involved subjectivity and uncertainty. We constructed a deep learning based system to calculate the proportion of Boston Bowel Prep Scale (BBPS) score of 0-1 during withdrawal phase and performed a prospective observational study to validate the threshold of the adequate proportion.The multi-center study is aimed to verify the extrapolation and robustness of the scoring threshold based on artificial intelligence intestinal cleanliness evaluation system explored in the early stage, and propose a more accurate and quantifiable threshold for evaluating the eligibility of intestinal preparation. ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT04591145
Study type Observational
Source Renmin Hospital of Wuhan University
Contact Honggang Yu, MD
Phone +8613871281899
Email yuhonggang1968@163.com
Status Recruiting
Phase
Start date October 9, 2020
Completion date December 31, 2020
View Details
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