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Artificial intelligence-assisted colonoscopy for colorectal cancer screening: a multicenter randomized controlled trial

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资源类型：
Pubmed体系：
作者：
Hong Xu[1] * ; Raymond S. Y. Tang[2,3] ; Thomas Y. T. Lam[3,4,5] ; Guijun Zhao[6] ; James Y. W. Lau[3,7] ; Yunpeng Liu[8] ; Qi Wu[9] ; Long Rong[10] ; Weiran Xu[1] ; Xue Li[6] ; Sunny H. Wong[2,3,12] ; Shuntian Cai[8] ; Jing Wang[9] ; Guanyi Liu[10] ; Tantan Ma[1] ; Xiong Liang[6] ; Joyce W. Y. Mak[2,3] ; Hongzhi Xu[8] ; Peng Yuan[9] ; Tingting Cao[1] ; Fudong Li[1] ; Zhenshi Ye[8] ; Zhang Shutian[11] ; Joseph J. Y. Sung[2,3,5,12] ;
单位： [1]Department of Gastroenterology and Endoscopy Center, First Hospital of Jilin University, Jilin, China [2]Department ofMedicine and Therapeutics, Chinese University of Hong Kong, Hong Kong SAR, China [3]Institute of Digestive Disease, ChineseUniversity of Hong Kong, Hong Kong SAR, China [4]JC School of Public Health and Primary Care, Chinese University of HongKong, Hong Kong SAR, China [5]Stanley Ho Big Data Decision Analytics Research Centre, Chinese University of Hong Kong,Hong Kong SAR, China [6]Department of Endoscopy Center, Inner Mongolia Key Laboratory of Endoscopic Digestive Diseases,Inner Mongolia People’s Hospital, Hohhot, China [7]Department of Surgery, Chinese University of Hong Kong, Hong Kong SAR,China [8]Department of Gastroenterology, Zhongshan Hospital Affiliated to Xiamen University, Xiamen, China [9]Key Laboratoryof Carcinogenesis and Translational Research (Ministry of Education/Beijing), Endoscopy Center, Peking University CancerHospital and Institute, Beijing, China [10]Endoscopy Center, Peking University First Hospital, Beijing, China [11]Department ofGastroenterology and Hepatology, Beijing Friendship Hospital, Capital Medical University, National Clinical Research Centerfor Digestive Diseases, Beijing, China [12]Lee Kong Chian School of Medicine, Nanyang Technological University,Singapore
出处：
DOI： 10.1016/j.cgh.2022.07.006
ISSN：

摘要：
Artificial intelligence (AI)-assisted colonoscopy improves polyp detection and characterization in colonoscopy. However, data from large scale multicenter randomized controlled trials (RCT) in an asymptomatic population are lacking.This multicenter RCT aimed to compare AI-assisted colonoscopy (AI) to conventional colonoscopy (CC) for adenoma detection in an asymptomatic population. Asymptomatic subjects aged 45 to 75 years undergoing colorectal cancer screening by direct colonoscopy or fecal immunochemical test (FIT) were recruited in 6 referral centers in Hong Kong, Jilin, Inner Mongolia, Xiamen and Beijing. In the AI group, an AI polyp detection system (Eagle-Eye, Xiamen InnoVision) with real time notification on the same monitor of the endoscopy system was used. Primary outcome was overall adenoma detection rate (ADR). Secondary outcomes were mean number of adenomas per colonoscopy (APC), ADR according to endoscopist's experience, and colonoscopy withdrawal time. This study received IRB approval (CRE-2019.393).From November 2019 to August 2021, 3059 subjects were randomized to AI (1519) and CC (1540). Baseline characteristics and bowel preparation quality between the two groups were similar. The overall ADR (39.9% vs 32.4%, p<0.001), Advanced ADR (6.6% vs 4.9%, P=0.041), ADR of expert (42.3% vs 32.8%, p<0.001) and non-expert endoscopists (37.5% vs 32.1%, p=0.023) and APC (0.59+/-0.97 vs 0.45+/-0.81, p<0.001) were all significantly higher in AI group. The median withdrawal time (minutes) (8.3 vs 7.8, p=0.004) was slightly longer in AI group.In this multicenter RCT in asymptomatic patients, AI-assisted colonoscopy improved overall ADR, advanced ADR and ADR of both expert and non-expert attending endoscopists.Copyright © 2022 AGA Institute. Published by Elsevier Inc. All rights reserved.

语种：
外文
PubmedID：
中科院(CAS)分区：
出版当年[2021]版：
大类 | 1 区 医学
小类 | 1 区 胃肠肝病学
最新[2025]版：
大类 | 1 区 医学
小类 | 1 区 胃肠肝病学
JCR分区：
出版当年[2020]版：
Q1 GASTROENTEROLOGY & HEPATOLOGY
最新[2023]版：
Q1 GASTROENTEROLOGY & HEPATOLOGY

影响因子： 最新[2023版] 最新五年平均[2021-2025] 出版当年[2020版] 出版当年五年平均[2016-2020] 出版前一年[2019版] 出版后一年[2021版]

第一作者：
第一作者单位： [1]Department of Gastroenterology and Endoscopy Center, First Hospital of Jilin University, Jilin, China
通讯作者：
通讯机构： [2]Department ofMedicine and Therapeutics, Chinese University of Hong Kong, Hong Kong SAR, China [3]Institute of Digestive Disease, ChineseUniversity of Hong Kong, Hong Kong SAR, China [5]Stanley Ho Big Data Decision Analytics Research Centre, Chinese University of Hong Kong,Hong Kong SAR, China [12]Lee Kong Chian School of Medicine, Nanyang Technological University,Singapore
推荐引用方式(GB/T 7714)：
Hong Xu,Raymond S. Y. Tang,Thomas Y. T. Lam,et al.Artificial intelligence-assisted colonoscopy for colorectal cancer screening: a multicenter randomized controlled trial[J].Clinical Gastroenterology and Hepatology : the Official Clinical Practice Journal of the American Gastroenterological Association.2022,doi:10.1016/j.cgh.2022.07.006.
APA：
Hong Xu,Raymond S. Y. Tang,Thomas Y. T. Lam,Guijun Zhao,James Y. W. Lau...&Joseph J. Y. Sung.(2022).Artificial intelligence-assisted colonoscopy for colorectal cancer screening: a multicenter randomized controlled trial.Clinical Gastroenterology and Hepatology : the Official Clinical Practice Journal of the American Gastroenterological Association,,
MLA：
Hong Xu,et al."Artificial intelligence-assisted colonoscopy for colorectal cancer screening: a multicenter randomized controlled trial".Clinical Gastroenterology and Hepatology : the Official Clinical Practice Journal of the American Gastroenterological Association .(2022)

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