Effective Withdrawal Time and Adenoma Detection Rate

Launched by THE UNIVERSITY OF HONG KONG · Sep 30, 2023

Keywords

ClinConnect Summary

This clinical trial is investigating how effectively an artificial intelligence (AI) system can help improve the time spent looking for polyps during colonoscopies, which are procedures used to examine the colon. The goal is to see if there is a connection between the time spent withdrawing the scope and how well doctors can find adenomas, which are small growths that can develop into cancer. The AI will analyze the colonoscopy videos without the doctors knowing the results, to ensure unbiased observations.

To participate in this study, you need to be an adult aged 40 or older and scheduled for an outpatient colonoscopy. However, if you have certain health conditions like inflammatory bowel disease, a history of colorectal cancer, or if you've had parts of your bowel surgically removed, you won't be eligible. Participants can expect to undergo their routine colonoscopy, and the overall goal is to improve the detection of potentially harmful growths in the colon, enhancing the quality of care for patients.

Gender

ALL

Eligibility criteria

• • Inclusion Criteria: All adult patients, aged 40 or above, undergoing outpatient colonoscopy will be recruited
• Exclusion Criteria:
• • history of inflammatory bowel disease
• • history of colorectal cancer
• • previous bowel resection (apart from appendectomy)
• • Peutz-Jeghers syndrome, familial adenomatous polyposis or other polyposis syndromes
• • bleeding tendency or severe comorbid illnesses for which polypectomy is considered unsafe.
• • Cecum could not be intubated for various reasons
• • Poor bowel preparation with Boston Bowel Preparation Scale (BBPS) \< 6