AQCS for Detection of Early Cancer and Precancerous Lesions on Upper Gastrointestinal Tract
NCT ID: NCT04720924
Last Updated: 2024-05-29
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
1840 participants
INTERVENTIONAL
2021-01-16
2023-12-31
Brief Summary
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
OTHER
SINGLE
Study Groups
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AQCS-aided group
Patients in AQCS-aided group will go through white light EGD examination with assistance of AQCS.
Computer-aided Real-time Automatic Quality-control System
EGD automatic quality-control system(AQCS),developed based on deep convolutional neural network (DCNN) models,could facilitate real-time detection of upper gastrointestinal lesions, assess inspection completeness and mucosal visibility, and calculate time of EGD procedure.
Control group
Patients in control group will go through white light EGD examination without AQCS.
No interventions assigned to this group
Interventions
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Computer-aided Real-time Automatic Quality-control System
EGD automatic quality-control system(AQCS),developed based on deep convolutional neural network (DCNN) models,could facilitate real-time detection of upper gastrointestinal lesions, assess inspection completeness and mucosal visibility, and calculate time of EGD procedure.
Eligibility Criteria
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Inclusion Criteria
* Patients scheduled for white light EGD examination with anaesthesia
* American Society of Anesthesiology risk class 1, 2 or 3
Exclusion Criteria
* Patients with a history of esophageal or gastric surgery
* Patients scheduled for therapeutic EGD
* Patients with stenosis or obstruction of upper gastrointestinal tract
* Patients with a history of serious anesthesia-related complications
* Patients in pregnancy or lactation phase
* Patients refused to sign the informed consent
40 Years
80 Years
ALL
No
Sponsors
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Binzhou Medical University
OTHER
Shengli Oilfield Hospital
OTHER
Peking University Care Luzhong Hospital
OTHER
Linyi People's Hospital
OTHER
Zibo Municipal Hospital
OTHER
Shandong University
OTHER
Responsible Party
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Yanqing Li
Vice president of Qilu Hospital
Principal Investigators
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Yanqing Li, PhD
Role: STUDY_CHAIR
Qilu Hospital of Shandong University
Locations
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Binzhou Medical University Hospital
Binzhou, Shandong, China
Linyi People's Hospital
Dezhou, Shandong, China
Central Hospital of Shengli Oilfield
Dongying, Shandong, China
Qilu Hospital of Shandong University
Jinan, Shandong, China
PKUcare Luzhong Hospital
Zibo, Shandong, China
Zibo Municipal Hospital
Zibo, Shandong, China
Countries
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References
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Zhou R, Liu J, Zhang C, Zhao Y, Su J, Niu Q, Liu C, Guo Z, Cui Z, Zhong X, Zhao W, Li J, Zhang X, Wang H, Sun S, Ma R, Chen X, Xu X, Zhu Y, Li Z, Zuo X, Li Y. Efficacy of a real-time intelligent quality-control system for the detection of early upper gastrointestinal neoplasms: a multicentre, single-blinded, randomised controlled trial. EClinicalMedicine. 2024 Aug 30;75:102803. doi: 10.1016/j.eclinm.2024.102803. eCollection 2024 Sep.
Other Identifiers
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2020SDU-QILU-1022
Identifier Type: -
Identifier Source: org_study_id
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