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Date Published: 13/11/2022
Abstract Views: 311
Views PDF: 184
DOI: https://doi.org/10.51298/vmj.v519i2.3630
Issue
Vol. 519 No. 2 (2022)
Section
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Việt Hằng, Đào ., Ngọc Hoa, L. ., Phúc Bình, N. ., Duy Hải, Đinh ., Thanh Tùng, N., & Văn Long, Đào. (2022). PRELIMINARY RESULTS OF AI-ASSISSTED COLONOSCOPY APPLICATION IN PROXIMAL COLON POLYP DETECTION. Vietnam Medical Journal, 519(2). https://doi.org/10.51298/vmj.v519i2.3630

PRELIMINARY RESULTS OF AI-ASSISSTED COLONOSCOPY APPLICATION IN PROXIMAL COLON POLYP DETECTION

Đào Việt Hằng1,2,3, Lâm Ngọc Hoa1,, Nguyễn Phúc Bình1, Đinh Duy Hải1, Nguyen Thanh Tùng1, Đào Văn Long1,2
1 Institute of Gastroenterology and Hepatology
2 Hanoi Medical University
3 Endoscopy Center, Hanoi Medical University Hospital

Main Article Content

Abstract

We conducted a prospective, single-blind, randomized controlled trial to compare the adenoma/polyp missing rate (AMR, PMR) and adenoma/polyp detection rate (ADR, PDR) at the proximal colon of AI-assissted colonoscopy with conventional colonoscopy. During colonoscopy, the endoscopist withdrew the endoscope to obseve the proximal colon 2 times, minimum 4 minutes each times, using white light. The first withrawal was with or without AI assistance based on randomization; the second withdrawal was without AI assitance. All detected polyps characteristics were reported including size, location of detection, polyp morphology according to Paris classification, and histopathological results. PMR, AMR, PDR, ADR of the proximal colon in the conventional group were 14.6%, 14.6%, 58.0%, 48.4%, respectively; in the AI-assisted group were 16.1%, 13.0%, 72.4%, 58.6%, respectively; there was no significant differences. AI-assisted colonoscopy showed similar polyp/adenoma missing and detection rates at the proximal colon with conventional colonoscopy. AI assistance can be used as co-assessment with endoscopists during colonoscopy.

Article Details

Keywords

Artificial intelligence, colonoscopy, polyp, adenoma detection rate

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