Artificial intelligence in the diagnosis of gastric precancerous conditions by image-enhanced endoscopy: a multicenter, diagnostic study (with video).
Gastric precancerous conditions, including gastric atrophy (GA) and intestinal metaplasia (IM), play an important role in the development of gastric cancer. Image-enhanced endoscopy (IEE) shows great potential in diagnosing gastric precancerous conditions and adenocarcinoma. In this study, a deep co...
| Published in: | Gastrointestinal Endoscopy Vol. 94; no. 3; pp. 540 - 541 |
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| Main Authors: | , , , , , , , , , , , , , |
| Format: | research Journal Article |
| Published: |
Elsevier B.V.
Sep2021
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=151951998&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 151951998 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00165107 4A9 jtl: Gastrointestinal Endoscopy issn: 00165107 maglogo: N pubinfo: dt: Sep2021 vid: 94 iid: 3 pid: 467 pub: Elsevier B.V. place: New York, New York artinfo: ui: 151951998 151951998 151951998 10.1016/j.gie.2021.03.013 151951998 ppf: 540 ppct: 1 formats: tig: atl: Artificial intelligence in the diagnosis of gastric precancerous conditions by image-enhanced endoscopy: a multicenter, diagnostic study (with video). aug: au: Xu, Ming Zhou, Wei Wu, Lianlian Zhang, Jun Wang, Jing Mu, Ganggang Huang, Xu Li, Yanxia Yuan, Jingping Zeng, Zhi Wang, Yonggui Huang, Li Liu, Jun Yu, Honggang affil: Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China sug: subj: Stomach Neoplasms Diagnosis Precancerous Conditions Diagnosis Endoscopy, Digestive System Methods Image Processing, Computer Assisted Methods Artificial Intelligence Utilization Predictive Value of Tests Evaluation Human China Retrospective Design Record Review Neural Networks (Computer) Videorecording Validity Descriptive Statistics Confidence Intervals Reproducibility of Results Intestinal Diseases Diagnosis Metaplasia Diagnosis Gastritis, Atrophic Diagnosis ab: Gastric precancerous conditions, including gastric atrophy (GA) and intestinal metaplasia (IM), play an important role in the development of gastric cancer. Image-enhanced endoscopy (IEE) shows great potential in diagnosing gastric precancerous conditions and adenocarcinoma. In this study, a deep convolutional neural network system, named ENDOANGEL, was constructed to detect gastric precancerous conditions by IEE. Endoscopic images were retrospectively obtained from 5 hospitals in China for the development, validation, and internal and external test of the system. Prospective consecutive patients receiving IEE were enrolled from January 13, 2020 to October 29, 2020 in Renmin Hospital of Wuhan University to assess in real time the applicability of the proposed computer-aided detection (CADe) system in clinical practice, and the performance of CADe was compared with that of endoscopists. Six thousand two hundred fifty endoscopic images from 760 patients and 98 video clips from 77 individuals undergoing IEE were enrolled in this study. The diagnostic accuracy of GA was.901 (95% confidence interval [CI],.883-.917) in the internal test set,.864 (95% CI,.842-.884) in the multicenter external test set, and.878 (95% CI,.796-.935) in the prospective video test set. The diagnostic accuracy of IM was.908 (95% CI,.889-.924) in the internal test set,.859 (95% CI,.837-.880) in the multicenter external test set, and.898 (95% CI,.820-.950) in the prospective video test set. CADe achieved similar diagnostic accuracy to that of the experts for detecting GA (.869 [95% CI,.790-.927] vs.846 [95% CI,.808-.879], P =.396) and IM (.888 [95% CI,.812-.941] vs.820 [95% CI,.780-.855], P =.117) and was superior to that of nonexperts for GA (.750 [95% CI,.711-.786], P =.008) and IM (.736 [95% CI,.697-.773], P =.028). CADe achieved high diagnostic accuracy in gastric precancerous conditions, which was similar to that of experts and superior to that of nonexperts. Thus, CADe provides possibilities for a wide application in assisting in the diagnosis of gastric precancerous conditions. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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