Randomised controlled trial of WISENSE, a real-time quality improving system for monitoring blind spots during esophagogastroduodenoscopy

Autor: Xiaoda Jiang, Hong Gang Yu, Lei Shen, Xu Huang, Mengjiao Zhang, Xiaoguang Lv, Suqin Li, Shan Hu, Jiangjie Li, Ning Cui, Yiyun Chen, Jun Liu, Xiao Wei, Xinyue Wan, Lianlian Wu, Xinqi He, Wei Zhou, Ping An, Xia Li, Xuemei Wang, Ganggang Mu, Jun Zhang, Di Chen, Xiaoyun Zhu, Qianshan Ding, Dexin Gong, Xiao Hu, Juan Gao, Jie Zhou
Rok vydání: 2019
Předmět:
Zdroj: Gut
ISSN: 1468-3288
0017-5749
Popis: ObjectiveEsophagogastroduodenoscopy (EGD) is the pivotal procedure in the diagnosis of upper gastrointestinal lesions. However, there are significant variations in EGD performance among endoscopists, impairing the discovery rate of gastric cancers and precursor lesions. The aim of this study was to construct a real-time quality improving system, WISENSE, to monitor blind spots, time the procedure and automatically generate photodocumentation during EGD and thus raise the quality of everyday endoscopy.DesignWISENSE system was developed using the methods of deep convolutional neural networks and deep reinforcement learning. Patients referred because of health examination, symptoms, surveillance were recruited from Renmin hospital of Wuhan University. Enrolled patients were randomly assigned to groups that underwent EGD with or without the assistance of WISENSE. The primary end point was to ascertain if there was a difference in the rate of blind spots between WISENSE-assisted group and the control group.ResultsWISENSE monitored blind spots with an accuracy of 90.40% in real EGD videos. A total of 324 patients were recruited and randomised. 153 and 150 patients were analysed in the WISENSE and control group, respectively. Blind spot rate was lower in WISENSE group compared with the control (5.86% vs 22.46%, pConclusionsWISENSE significantly reduced blind spot rate of EGD procedure and could be used to improve the quality of everyday endoscopy.Trial registration numberChiCTR1800014809; Results.
Databáze: OpenAIRE