Meng QQ, Gao Y, Lin H, Wang TJ, Zhang YR, Feng J, Li ZS, Xin L, Wang LW. Application of an artificial intelligence system for endoscopic diagnosis of superficial esophageal squamous cell carcinoma. World J Gastroenterol 2022; 28(37): 5483-5493 [PMID: 36312830 DOI: 10.3748/wjg.v28.i37.5483]
Corresponding Author of This Article
Luo-Wei Wang, MD, Chief Doctor, Department of Gastroenterology, Changhai Hospital, No. 168 Changhai Road, Yangpu District, Shanghai 200433, China. wangluoweimd@126.com
Research Domain of This Article
Gastroenterology & Hepatology
Article-Type of This Article
Observational Study
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Meng QQ, Gao Y, Lin H, Wang TJ, Zhang YR, Feng J, Li ZS, Xin L, Wang LW. Application of an artificial intelligence system for endoscopic diagnosis of superficial esophageal squamous cell carcinoma. World J Gastroenterol 2022; 28(37): 5483-5493 [PMID: 36312830 DOI: 10.3748/wjg.v28.i37.5483]
World J Gastroenterol. Oct 7, 2022; 28(37): 5483-5493 Published online Oct 7, 2022. doi: 10.3748/wjg.v28.i37.5483
Application of an artificial intelligence system for endoscopic diagnosis of superficial esophageal squamous cell carcinoma
Qian-Qian Meng, Ye Gao, Han Lin, Tian-Jiao Wang, Yan-Rong Zhang, Jian Feng, Zhao-Shen Li, Lei Xin, Luo-Wei Wang
Qian-Qian Meng, Ye Gao, Han Lin, Tian-Jiao Wang, Yan-Rong Zhang, Zhao-Shen Li, Lei Xin, Luo-Wei Wang, Department of Gastroenterology, Changhai Hospital, Shanghai 200433, China
Jian Feng, Qingdao Medcare Digital Engineering Co. Ltd., Qingdao Medcare Digital Engineering Co. Ltd., Qingdao 26600, Shandong Province, China
Author contributions: Wang LW was the guarantor and designed the study; Lin H, Wang TJ, Zhang YR, Feng J participated in the acquisition, analysis, and interpretation of the data; Gao Y, Meng QQ drafted the initial manuscript; Xin L, Li ZS revised the article critically for important intellectual content; Meng QQ, Gao Y and Lin H contributed equally to this article.
Supported byShanghai Science and Technology Innovation Action Program, No. 21Y31900100; and 234 Clinical Research Fund of Changhai Hospital, No. 2019YXK006.
Institutional review board statement: The study was reviewed and approved by the Shanghai Changhai Hospital Ethical Committee.
Informed consent statement: All study participants, or their legal guardian, provided informed written consent prior to study enrollment.
Conflict-of-interest statement: Dr. Wang reports grants from The Science and Technology Commission of Shanghai Municipality during the conduct of the study. Other authors report no relevant conflicts of interest for this article.
Data sharing statement: No additional data are available.
STROBE statement: The authors have read the STROBE Statement—checklist of items, and the manuscript was prepared and revised according to the STROBE Statement—checklist of items.
Received: June 2, 2022 Peer-review started: June 2, 2022 First decision: August 1, 2022 Revised: August 9, 2022 Accepted: September 20, 2022 Article in press: September 20, 2022 Published online: October 7, 2022 Processing time: 118 Days and 22.1 Hours
Core Tip
Core Tip: Esophageal squamous cell carcinoma (ESCC) poses a heavy burden to high-risk areas, and screening using upper gastrointestinal endoscopy is an established strategy for early detection and prognosis improvement. However, endoscopic detection of superficial-ESCC can be challenging and depends greatly on operator experience. We developed and validated a novel computer-assisted diagnostic system with a deep neural network algorithm to detect superficial ESCC using upper endoscopy with white-light and narrow-band imaging. The system demonstrated high diagnostic accuracy, which is comparable to that of expert endoscopists. The diagnostic performance of non-expert endoscopists was significantly improved under the assistance of this system.
