Spots Global Cancer Trial Database for Multi-center Validation of a Deep Learning Based Bowel Preparation Evaluation System
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Trial Identification
Brief Title: Multi-center Validation of a Deep Learning Based Bowel Preparation Evaluation System
Official Title: Validation of a Deep Learning Based Bowel Preparation Evaluation System: A Prospective, Multi-center, Cross-sectional Study
Study ID: NCT04591145
Interventions
Study Description
Brief 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.
Detailed 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.
Keywords
Eligibility
Minimum Age: 18 Years
Eligible Ages: ADULT, OLDER_ADULT
Sex: ALL
Healthy Volunteers: Yes
Locations
Renmin Hospital of Wuhan University, Wuhan, Hubei, China
Contact Details
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