Randomised controlled trial of WISENSE, a real-time quality improving system for monitoring blind spots during esophagogastroduodenoscopy. Issue 12 (11th March 2019)
- Record Type:
- Journal Article
- Title:
- Randomised controlled trial of WISENSE, a real-time quality improving system for monitoring blind spots during esophagogastroduodenoscopy. Issue 12 (11th March 2019)
- Main Title:
- Randomised controlled trial of WISENSE, a real-time quality improving system for monitoring blind spots during esophagogastroduodenoscopy
- Authors:
- Wu, Lianlian
Zhang, Jun
Zhou, Wei
An, Ping
Shen, Lei
Liu, Jun
Jiang, Xiaoda
Huang, Xu
Mu, Ganggang
Wan, Xinyue
Lv, Xiaoguang
Gao, Juan
Cui, Ning
Hu, Shan
Chen, Yiyun
Hu, Xiao
Li, Jiangjie
Chen, Di
Gong, Dexin
He, Xinqi
Ding, Qianshan
Zhu, Xiaoyun
Li, Suqin
Wei, Xiao
Li, Xia
Wang, Xuemei
Zhou, Jie
Zhang, Mengjiao
Yu, Hong Gang - Abstract:
- Abstract : Objective: Esophagogastroduodenoscopy (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. Design: WISENSE 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. Results: WISENSE 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%, p<0.001), and the mean difference was −15.39% (95% CI −19.23 to −11.54). There was no significant adverse event. Conclusions: WISENSE significantlyAbstract : Objective: Esophagogastroduodenoscopy (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. Design: WISENSE 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. Results: WISENSE 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%, p<0.001), and the mean difference was −15.39% (95% CI −19.23 to −11.54). There was no significant adverse event. Conclusions: WISENSE significantly reduced blind spot rate of EGD procedure and could be used to improve the quality of everyday endoscopy. Trial registration number: ChiCTR1800014809; Results. … (more)
- Is Part Of:
- Gut. Volume 68:Issue 12(2019)
- Journal:
- Gut
- Issue:
- Volume 68:Issue 12(2019)
- Issue Display:
- Volume 68, Issue 12 (2019)
- Year:
- 2019
- Volume:
- 68
- Issue:
- 12
- Issue Sort Value:
- 2019-0068-0012-0000
- Page Start:
- 2161
- Page End:
- 2169
- Publication Date:
- 2019-03-11
- Subjects:
- endoscopy
Gastroenterology -- Periodicals
616.33 - Journal URLs:
- http://gut.bmjjournals.com ↗
http://www.bmj.com/archive ↗ - DOI:
- 10.1136/gutjnl-2018-317366 ↗
- Languages:
- English
- ISSNs:
- 0017-5749
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 18587.xml