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DEEP LEARNING COMPUTER-AIDED POLYP DETECTION REDUCES ADENOMA MISS RATE: A U.S. MULTI-CENTER RANDOMIZED TANDEM COLONOSCOPY STUDY (CADeT-CS Trial).

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收录情况： ◇ SCIE

作者：
Glissen Brown Jeremy R[1,*1] * ; Mansour Nabil M[2] ; Wang Pu[3] ; Chuchuca Maria Aguilera[1] ; Minchenberg Scott B[4] ; Chandnani Madhuri[1] ; Liu Lin[5] ; Gross Seth A[6] ; Sengupta Neil[7] ; Berzin Tyler M[1] ;
机构： [1]Center for Advanced Endoscopy, Division of Gastroenterology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts [2]Section of Gastroenterology and Hepatology, Baylor College of Medicine, Houston, Texas [3]Department of Gastroenterology, Sichuan Academy of Medical Sciences & Sichuan Provincial People’s Hospital, Chengdu, China [4]Department of Internal Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts [5]Institute of Natural Sciences, MOE-LSC, School of Mathematical Sciences and SJTU-Yale Joint Center for Biostatistics and Data Science, Shanghai Jiao Tong University, Shanghai, China [6]Division of Gastroenterology and Hepatology, New York University Langone Health System, New York, New York [7]Section of Gastroenterology, University of Chicago Medicine, Chicago, Illinois
出处：
DOI： 10.1016/j.cgh.2021.09.009
ISSN：

关键词： Adenoma Detection Rate Adenoma Miss Rate Computer-aided Detection Deep Learning Randomized Tandem Colonoscopy Study

摘要：
Artificial intelligence-based computer aided polyp detection (CADe) systems are intended to address the issue of missed polyps during colonoscopy. The effect of CADe during screening and surveillance colonoscopy has not previously been studied in a United States population.We conducted a prospective, multi-center, single-blind randomized tandem colonoscopy study to evaluate a deep-learning based CADe system (EndoScreener, Shanghai Wision AI, China). Patients were enrolled across four U.S. academic medical centers from 2019 through 2020. Patients presenting for colorectal cancer screening or surveillance were randomized to CADe colonoscopy first or high-definition white light (HDWL) colonoscopy first, followed immediately by the other procedure in tandem fashion by the same endoscopist. The primary outcome was adenoma miss rate (AMR), and secondary outcomes included sessile serrated lesion (SSL) miss rate and adenomas per colonoscopy (APC).2 32 patients entered the study, with 116 patients randomized to the AI-assisted colonoscopy first and 116 patients to HDWL colonoscopy first. After the exclusion of 9 patients, the study cohort was 223. AMR was lower in the CADe-first group compared to the HDWL-first group: 20.12% (34/169) versus 31.25% (45/144) (P=0.0247), (OR) 1.8048 (95% CI 1.0780-3.0217). SSL miss rate was lower in the CADe-first group, 7.14% (1/14) versus the HDWL-first group, 42.11% (8/19) (P=0.0482). First-pass APC was higher in the CADe-first group (1.19 (SD 2.03) versus 0.90 (SD 1.55), (P=0.0323)). First-pass ADR was 50.44% in the CADe-first group and 43.64 % in the HDWL-first group (P=0.3091).In this U.S. multicenter tandem colonoscopy RCT, we demonstrate a decrease in adenoma miss rate and SSL miss rate and an increase in first-pass APC with the use of a CADe-system when compared to HDWL colonoscopy.Copyright © 2021 AGA Institute. Published by Elsevier Inc. All rights reserved.

基金：
Shanghai Municipal Science and Technology Major Project No.2021SHZDZX0102, Major Program of National Natural Science Foundation of China No.12090024 and Shanghai Q8 Natural Science Foundation Grant No.21ZR1431000.
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外文
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出版当年[2022]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
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出版当年[2022]版：
Q1 GASTROENTEROLOGY & HEPATOLOGY
最新[2024]版：
Q1 GASTROENTEROLOGY & HEPATOLOGY

影响因子： 最新[2024版] 最新五年平均 出版当年[2022版] 出版当年五年平均 出版前一年[2021版] 出版后一年[2023版]

第一作者：
第一作者机构： [1]Center for Advanced Endoscopy, Division of Gastroenterology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts [*1]Center for Advanced Endoscopy, Division of Gastroenterology and Hepatology, Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Q3 Ave, Boston, MA 02130
通讯作者：
通讯机构： [1]Center for Advanced Endoscopy, Division of Gastroenterology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts [*1]Center for Advanced Endoscopy, Division of Gastroenterology and Hepatology, Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Q3 Ave, Boston, MA 02130
推荐引用方式(GB/T 7714)：
Glissen Brown Jeremy R,Mansour Nabil M,Wang Pu,et al.DEEP LEARNING COMPUTER-AIDED POLYP DETECTION REDUCES ADENOMA MISS RATE: A U.S. MULTI-CENTER RANDOMIZED TANDEM COLONOSCOPY STUDY (CADeT-CS Trial).[J].CLINICAL GASTROENTEROLOGY AND HEPATOLOGY.2022,20(7):1499-+.doi:10.1016/j.cgh.2021.09.009.
APA：
Glissen Brown Jeremy R,Mansour Nabil M,Wang Pu,Chuchuca Maria Aguilera,Minchenberg Scott B...&Berzin Tyler M.(2022).DEEP LEARNING COMPUTER-AIDED POLYP DETECTION REDUCES ADENOMA MISS RATE: A U.S. MULTI-CENTER RANDOMIZED TANDEM COLONOSCOPY STUDY (CADeT-CS Trial)..CLINICAL GASTROENTEROLOGY AND HEPATOLOGY,20,(7)
MLA：
Glissen Brown Jeremy R,et al."DEEP LEARNING COMPUTER-AIDED POLYP DETECTION REDUCES ADENOMA MISS RATE: A U.S. MULTI-CENTER RANDOMIZED TANDEM COLONOSCOPY STUDY (CADeT-CS Trial).".CLINICAL GASTROENTEROLOGY AND HEPATOLOGY 20..7(2022):1499-+

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