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Brief Title: ENDO-AID Assisted Tandem Colonoscopy RCT
Official Title: Assessment of Efficacy of ENDO-AID Assisted Colonoscopy in Adenoma Detection: a Single Centre Randomised Controlled Trial
Study ID: NCT05013125
Brief Summary: This study hypothesizes that more adenomas will be detected using the ENDO-AID assisted Colonoscopy compared to conventional colonoscopy. A single-centre, randomized, same-day, back-to-back tandem colonoscopy trial comparing Adenoma Missed Rate and Adenoma Detection Rate in ENDO-AID assisted colonoscopy and conventional colonoscopy.
Detailed Description: Colorectal cancer is the third common cancer in the world and the commonest cancer in Hong Kong. Most sporadic colorectal cancers arise from benign polyps via adenoma-carcinoma sequence or the serrated polyp-carcinoma sequence. There are reports of unexpectedly high risk of interval carcinomas, as high as up to 9%, raising concerns about the effectiveness of colonoscopy in preventing colorectal cancers. Different techniques have been described to improve the area of mucosa visualised but lesions may still be missed due to failure of identification by the endoscopist. Computer Aided diagnosis (CAD) assisted colonoscopy is becoming increasingly popular to address human error. Deep learning technology has surpassed human learning and advancement in technology now allows real-time Artificial Intelligence to assist colonoscopists in polyp detection.
Minimum Age: 18 Years
Eligible Ages: ADULT, OLDER_ADULT
Sex: ALL
Healthy Volunteers: No
Department of Surgery, Chinese University of Hong Kong, Shatin, New Territories, Hong Kong
Name: Kaori Futaba
Affiliation: Chinese University of Hong Kong
Role: PRINCIPAL_INVESTIGATOR