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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.
Full 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.
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360 participants in 2 patient groups
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Kaori Futaba, FRCS
Data sourced from clinicaltrials.gov
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