About this trial
Adenoma detection rate (ADR) is considered the single most important quality measure in colonoscopy and a higher ADR can reduce the risk of interval colorectal cancer (CRC). Several kinds of new endoscopes and accessories have been accessed to investigate the abilities of improving the ADR. Artificial intelligence (AI) and Endocuff vision are promising new devices to improve the ADR. However, the effect of combining AI and Endocuff vision on ADR remains unclear. The aim of this prospective randomized study is to compare the ADR of AI plus Endocuff vision, AI alone and standard colonoscopy examination.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
None
Disqualifiers
A prior history of of inflammatory bowel disease, colorectal cancer, previous bowel resection, Peutz-Jeghers syndrome, familial adenomatous polyposis or other polyposis syndromes
Bleeding tendency
For scheduled endoscopic treatment
Trial design
Parallel
Treatments tested in this trial
Artificial intelligence
DeviceASUS EndoAim AI Endoscopy System (ASUS, Taiwan) is used to help the detection of colon adenoma
Endocuff vision
DeviceEndocuff vision (Olympus, UK) is used to help the detection of colon adenoma
High-definition endoscope
DeviceHigh-definition endoscope (EVIS-EXERA 290 video system, Olympus Optical, Aizu, Japan) is used under white light for the detection of colon adenoma
Treatment groups
Trial outcomes
Primary outcomes
Adenoma detection rate
The proportion of patients with at least one adenomas
Secondary outcomes
Polyp detection rate
The proportion of patients with at least one polyp
Sessile serrated adenoma detection rate
The proportion of patients with at least one sessile serrated adenoma
Sessile serrated polyps detection rate
The proportion of patients with at least one sessile serrated polyp
Advanced adenoma detection rate
The proportion of patients with at least one advanced adenoma
Sponsors and contacts
Click on the lead sponsor to view all of their trials.
E-DA Hospital
Lead sponsor
Chung Shan Medical University
Collaborator