Randomised controlled trial of WISENSE, a real-time quality improving system for monitoring blind spots during esophagogastroduodenoscopy
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...
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Published in | Gut Vol. 68; no. 12; pp. 2161 - 2169 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
BMJ Publishing Group LTD
01.12.2019
BMJ Publishing Group |
Series | Original article |
Subjects | |
Online Access | Get full text |
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Abstract | 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%, p<0.001), and the mean difference was −15.39% (95% CI −19.23 to −11.54). There was no significant adverse event.ConclusionsWISENSE significantly reduced blind spot rate of EGD procedure and could be used to improve the quality of everyday endoscopy.Trial registration numberChiCTR1800014809; Results. |
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AbstractList | 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.
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.
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.
WISENSE significantly reduced blind spot rate of EGD procedure and could be used to improve the quality of everyday endoscopy.
ChiCTR1800014809; Results. 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. 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%, p<0.001), and the mean difference was −15.39% (95% CI −19.23 to −11.54). There was no significant adverse event.ConclusionsWISENSE significantly reduced blind spot rate of EGD procedure and could be used to improve the quality of everyday endoscopy.Trial registration numberChiCTR1800014809; Results. |
Author | Lv, Xiaoguang Li, Suqin Zhou, Jie An, Ping Huang, Xu Wu, Lianlian Zhu, Xiaoyun Hu, Shan Zhang, Mengjiao Ding, Qianshan Liu, Jun Jiang, Xiaoda Gao, Juan Li, Jiangjie Mu, Ganggang Cui, Ning Wang, Xuemei Gong, Dexin Wei, Xiao He, Xinqi Zhou, Wei Shen, Lei Hu, Xiao Wan, Xinyue Yu, Hong Gang Chen, Di Chen, Yiyun Li, Xia Zhang, Jun |
AuthorAffiliation | 2 Key Laboratory of Hubei Province for Digestive System Disease , Renmin Hospital of Wuhan University , Wuhan , China 1 Department of Gastroenterology , Renmin Hospital of Wuhan University , Wuhan , China 3 Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision , Wuhan University Renmin Hospital , Wuhan , China 4 School of Resources and Environmental Sciences of Wuhan University , Wuhan , China |
AuthorAffiliation_xml | – name: 1 Department of Gastroenterology , Renmin Hospital of Wuhan University , Wuhan , China – name: 3 Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision , Wuhan University Renmin Hospital , Wuhan , China – name: 4 School of Resources and Environmental Sciences of Wuhan University , Wuhan , China – name: 2 Key Laboratory of Hubei Province for Digestive System Disease , Renmin Hospital of Wuhan University , Wuhan , China |
Author_xml | – sequence: 1 givenname: Lianlian surname: Wu fullname: Wu, Lianlian email: yuhonggang1968@163.com organization: Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Wuhan University Renmin Hospital, Wuhan, China – sequence: 2 givenname: Jun surname: Zhang fullname: Zhang, Jun email: yuhonggang1968@163.com organization: Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Wuhan University Renmin Hospital, Wuhan, China – sequence: 3 givenname: Wei surname: Zhou fullname: Zhou, Wei email: yuhonggang1968@163.com organization: Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Wuhan University Renmin Hospital, Wuhan, China – sequence: 4 givenname: Ping surname: An fullname: An, Ping email: yuhonggang1968@163.com organization: Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Wuhan University Renmin Hospital, Wuhan, China – sequence: 5 givenname: Lei surname: Shen fullname: Shen, Lei email: yuhonggang1968@163.com organization: Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Wuhan University Renmin Hospital, Wuhan, China – sequence: 6 givenname: Jun surname: Liu fullname: Liu, Jun email: yuhonggang1968@163.com organization: Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Wuhan University Renmin Hospital, Wuhan, China – sequence: 7 givenname: Xiaoda surname: Jiang fullname: Jiang, Xiaoda email: yuhonggang1968@163.com organization: Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Wuhan University Renmin Hospital, Wuhan, China – sequence: 8 givenname: Xu surname: Huang fullname: Huang, Xu email: yuhonggang1968@163.com organization: Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Wuhan University Renmin Hospital, Wuhan, China – sequence: 9 givenname: Ganggang surname: Mu fullname: Mu, Ganggang email: yuhonggang1968@163.com organization: Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Wuhan University Renmin Hospital, Wuhan, China – sequence: 10 givenname: Xinyue orcidid: 0000-0002-4507-2011 surname: Wan fullname: Wan, Xinyue email: yuhonggang1968@163.com organization: Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Wuhan University Renmin Hospital, Wuhan, China – sequence: 11 givenname: Xiaoguang surname: Lv fullname: Lv, Xiaoguang email: yuhonggang1968@163.com organization: Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Wuhan University Renmin Hospital, Wuhan, China – sequence: 12 givenname: Juan surname: Gao fullname: Gao, Juan email: yuhonggang1968@163.com organization: Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Wuhan University Renmin Hospital, Wuhan, China – sequence: 13 givenname: Ning surname: Cui fullname: Cui, Ning email: yuhonggang1968@163.com organization: Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Wuhan University Renmin Hospital, Wuhan, China – sequence: 14 givenname: Shan surname: Hu fullname: Hu, Shan email: yuhonggang1968@163.com organization: School of Resources and Environmental Sciences of Wuhan University, Wuhan, China – sequence: 15 givenname: Yiyun surname: Chen fullname: Chen, Yiyun email: yuhonggang1968@163.com organization: School of Resources and Environmental Sciences of Wuhan University, Wuhan, China – sequence: 16 givenname: Xiao surname: Hu fullname: Hu, Xiao email: yuhonggang1968@163.com organization: School of Resources and Environmental Sciences of Wuhan University, Wuhan, China – sequence: 17 givenname: Jiangjie surname: Li fullname: Li, Jiangjie email: yuhonggang1968@163.com organization: School of Resources and Environmental Sciences of Wuhan University, Wuhan, China – sequence: 18 givenname: Di surname: Chen fullname: Chen, Di email: yuhonggang1968@163.com organization: Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Wuhan University Renmin Hospital, Wuhan, China – sequence: 19 givenname: Dexin surname: Gong fullname: Gong, Dexin email: yuhonggang1968@163.com organization: Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Wuhan University Renmin Hospital, Wuhan, China – sequence: 20 givenname: Xinqi surname: He fullname: He, Xinqi email: yuhonggang1968@163.com organization: Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Wuhan University Renmin Hospital, Wuhan, China – sequence: 21 givenname: Qianshan surname: Ding fullname: Ding, Qianshan email: yuhonggang1968@163.com organization: Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Wuhan University Renmin Hospital, Wuhan, China – sequence: 22 givenname: Xiaoyun surname: Zhu fullname: Zhu, Xiaoyun email: yuhonggang1968@163.com organization: Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Wuhan University Renmin Hospital, Wuhan, China – sequence: 23 givenname: Suqin surname: Li fullname: Li, Suqin email: yuhonggang1968@163.com organization: Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Wuhan University Renmin Hospital, Wuhan, China – sequence: 24 givenname: Xiao surname: Wei fullname: Wei, Xiao email: yuhonggang1968@163.com organization: Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Wuhan University Renmin Hospital, Wuhan, China – sequence: 25 givenname: Xia surname: Li fullname: Li, Xia email: yuhonggang1968@163.com organization: Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Wuhan University Renmin Hospital, Wuhan, China – sequence: 26 givenname: Xuemei surname: Wang fullname: Wang, Xuemei email: yuhonggang1968@163.com organization: Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Wuhan University Renmin Hospital, Wuhan, China – sequence: 27 givenname: Jie surname: Zhou fullname: Zhou, Jie email: yuhonggang1968@163.com organization: Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Wuhan University Renmin Hospital, Wuhan, China – sequence: 28 givenname: Mengjiao surname: Zhang fullname: Zhang, Mengjiao email: yuhonggang1968@163.com organization: Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Wuhan University Renmin Hospital, Wuhan, China – sequence: 29 givenname: Hong Gang orcidid: 0000-0002-1882-7060 surname: Yu fullname: Yu, Hong Gang email: yuhonggang1968@163.com organization: Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Wuhan University Renmin Hospital, Wuhan, China |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/30858305$$D View this record in MEDLINE/PubMed |
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ContentType | Journal Article |
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Snippet | ObjectiveEsophagogastroduodenoscopy (EGD) is the pivotal procedure in the diagnosis of upper gastrointestinal lesions. However, there are significant... Esophagogastroduodenoscopy (EGD) is the pivotal procedure in the diagnosis of upper gastrointestinal lesions. However, there are significant variations in EGD... Objective Esophagogastroduodenoscopy (EGD) is the pivotal procedure in the diagnosis of upper gastrointestinal lesions. However, there are significant... |
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StartPage | 2161 |
SubjectTerms | Colonoscopy Decision making Deep learning Dopamine Efficiency Endoscopy Gastric cancer Gastroenterology Human body Hypotheses Neural networks Polyps Quality |
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Title | Randomised controlled trial of WISENSE, a real-time quality improving system for monitoring blind spots during esophagogastroduodenoscopy |
URI | http://dx.doi.org/10.1136/gutjnl-2018-317366 https://www.ncbi.nlm.nih.gov/pubmed/30858305 https://www.proquest.com/docview/2312730299 https://pubmed.ncbi.nlm.nih.gov/PMC6872441 |
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