文献类型：期刊文献

英文题名：Correlation of the detection rate of upper GI cancer with artificial intelligence score: results from a multicenter trial (with video)

作者：Li, Yan-Dong[1];Li, Hui-Zhang[2];Chen, Sheng-Sen[1];Jin, Chao-Hui[3];Chen, Ming[3];Cheng, Ming[4];Ma, Min -Jun[5];Zhang, Xiao-Ping[6];Wang, Xin[7];Zhou, Jian-Bo[8];Chen, Ming-Tong[9];Chen, Jiang-Ning[10];Yu, Shan[11];Wang, Tie -Jun[12];Fang, Wei-Ping[13];Cao, Xian-Wei[14];Yu, Xiao-Jie[15];Du, Ling-Bin[2];Wang, Shi[1]

机构：[1]Univ Chinese Acad Sci, Zhejiang Canc Hosp, Canc Hosp, Dept Endoscopy, Hangzhou, Peoples R China;[2]Univ Chinese Acad Sci, Zhejiang Canc Hosp, Canc Hosp,Inst Basic Med & Canc IBMC, Chinese Acad Sci,Zhejiang Prov Off Canc Prevent &, 1 Banshandong Rd, Hangzhou 310022, Zhejiang, Peoples R China;[3]Hithink Royal Flush Informat Metwork Co Ltd, Hangzhou, Peoples R China;[4]ZheJiang Jinhua Guangfu Tumor Hosp, Dept Gastroenterol, Jinhua, Zhejiang, Peoples R China;[5]First Peoples Hosp Fuyang, Dept Gastroenterol, Hangzhou, Peoples R China;[6]Shaoxing Univ, Affiliated Hosp 1, Shaoxing Peoples Hosp, Dept Gastroenterol, Shaoxing, Peoples R China;[7]Cangnan Peoples Hosp, Dept Gastroenterol, Wenzhou, Peoples R China;[8]Yuyao Peoples Hosp Zhejiang Prov, Dept Gastroenterol, Ningbo, Peoples R China;[9]Yongkang Hosp Tradit Chinese Med, Gastroenterol & Med, Jinhua, Zhejiang, Peoples R China;[10]Xiangshan Cty Red Cross Taiwan Compatriots Hosp, Med & Hlth Grp Gen Hosp, Dept Gastroenterol, Ningbo, Peoples R China;[11]Shengzhou Peoples Hosp, Dept Gastroenterol, Shaoxing, Peoples R China;[12]Hangzhou Yuhang Dist Second Peoples Hosp, Dept Internal Med, Hangzhou, Peoples R China;[13]First Peoples Hosp Jiande, Dept Gastroenterol, Hangzhou, Peoples R China;[14]Nanxun Dist Peoples Hosp, Dept Gastroenterol, Huzhou, Peoples R China;[15]Tonglu First Peoples Hosp, Dept Gastroenterol, Huzhou, Peoples R China

年份：2022

卷号：95

期号：6

起止页码：1138

外文期刊名：GASTROINTESTINAL ENDOSCOPY

收录：SCI-EXPANDED(收录号：WOS:000803755400014)、、Scopus(收录号：2-s2.0-85125698665)、WOS

基金：DISCLOSURE: All authors disclosed no financial relationships. Research support for this study (S. Wang, Y.-D. Li, and C.-H. Jin) was provided in part by the Public Welfare Technology Research Plan of Zhejiang Province (LGF20H160004) and Zhejiang Medical and Health Science and Technology Plan Project (2021KY565).

语种：英文

外文摘要：Background and Aims: The quality of EGD is a prerequisite for a high detection rate of upper GI lesions, especially early gastric cancer. Our previous study showed that an artificial intelligence system, named intelligent detection endoscopic assistant (IDEA), could help to monitor blind spots and provide an operation score during EGD. Here, we verified the effectiveness of IDEA to help evaluate the quality of EGD in a large-scale multicenter trial. Methods: Patients undergoing EGD in 12 hospitals were consecutively enrolled. All hospitals were equipped with IDEA developed using deep convolutional neural networks and long short-term memory. Patients were examined by EGD, and the results were recorded by IDEA. The primary outcome was the detection rate of upper GI cancer. Secondary outcomes were part scores, total scores, and endoscopic procedure time, which were analyzed by IDEA. Results: A total of 17,787 patients were recruited. The total detection rate of cancer-positive cases was 1.50%, ranging from .60% to 3.94% in each hospital. The total detection rate of early cancer-positive cases was .36%, ranging from .00% to 1.58% in each hospital. The average total score analyzed by IDEA ranged from 64.87 +/- 16.87 to 83.50 +/- 9.57 in each hospital. The cancer detection rate in each hospital was positively correlated with total score (r = .775, P = .003). Similarly, the early cancer detection rate was positively correlated with total score (r = .756, P = .004). Conclusions: This multicenter trial confirmed that the quality of the EGD result is positively correlated with the detection rate of cancer, which can be monitored by IDEA.