Endocuff With or Without Artificial Intelligence-Assisted Colonoscopy in Detection of Colorectal Adenoma: A Randomized Colonoscopy Trial.

Autor:	Lui TK; Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China.; Department of Medicine, Queen Mary Hospital, Hong Kong, China., Lam CP; Department of Medicine, Queen Mary Hospital, Hong Kong, China., To EW; Department of Medicine, Queen Mary Hospital, Hong Kong, China.; Department of Medicine, Tung Wah Hospital, Hong Kong, China., Ko MK; Department of Medicine, Queen Mary Hospital, Hong Kong, China., Tsui VWM; Department of Medicine, Queen Mary Hospital, Hong Kong, China., Liu KS; Department of Medicine, Queen Mary Hospital, Hong Kong, China., Hui CK; Department of Medicine, Queen Mary Hospital, Hong Kong, China., Cheung MK; Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China.; Department of Medicine, Queen Mary Hospital, Hong Kong, China., Mak LL; Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China.; Department of Medicine, Queen Mary Hospital, Hong Kong, China., Hui RW; Department of Medicine, Queen Mary Hospital, Hong Kong, China., Wong SY; Department of Medicine, Queen Mary Hospital, Hong Kong, China., Seto WK; Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China.; Department of Medicine, Queen Mary Hospital, Hong Kong, China., Leung WK; Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China.; Department of Medicine, Queen Mary Hospital, Hong Kong, China.
Jazyk:	angličtina
Zdroj:	The American journal of gastroenterology [Am J Gastroenterol] 2024 Jul 01; Vol. 119 (7), pp. 1318-1325. Date of Electronic Publication: 2024 Feb 02.
DOI:	10.14309/ajg.0000000000002684
Abstrakt:	Introduction: Both artificial intelligence (AI) and distal attachment devices have been shown to improve adenoma detection rate and reduce miss rate during colonoscopy. We studied the combined effect of Endocuff and AI on enhancing detection rates of various colonic lesions. Methods: This was a 3-arm prospective randomized colonoscopy study involving patients aged 40 years or older. Participants were randomly assigned in a 1:1:1 ratio to undergo Endocuff with AI, AI alone, or standard high-definition (HD) colonoscopy. The primary outcome was adenoma detection rate (ADR) between the Endocuff-AI and AI groups while secondary outcomes included detection rates of polyp (PDR), sessile serrated lesion (sessile detection rate [SDR]), and advanced adenoma (advanced adenoma detection rate) between the 2 groups. Results: A total of 682 patients were included (mean age 65.4 years, 52.3% male), with 53.7% undergoing diagnostic colonoscopy. The ADR for the Endocuff-AI, AI, and HD groups was 58.7%, 53.8%, and 46.3%, respectively, while the corresponding PDR was 77.0%, 74.0%, and 61.2%. A significant increase in ADR, PDR, and SDR was observed between the Endocuff-AI and AI groups (ADR difference: 4.9%, 95% CI: 1.4%-8.2%, P = 0.03; PDR difference: 3.0%, 95% CI: 0.4%-5.8%, P = 0.04; SDR difference: 6.4%, 95% CI: 3.4%-9.7%, P < 0.01). Both Endocuff-AI and AI groups had a higher ADR, PDR, SDR, and advanced adenoma detection rate than the HD group (all P < 0.01). Discussion: Endocuff in combination with AI further improves various colonic lesion detection rates when compared with AI alone. (Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of The American College of Gastroenterology.)
Databáze:	MEDLINE
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