Impact of Real-time Automatic Quality Control System on Colorectal Adenoma Detection
NCT ID: NCT04901130
Last Updated: 2021-05-25
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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UNKNOWN
NA
1254 participants
INTERVENTIONAL
2021-05-27
2022-01-31
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 colonoscopy examination with the assitance of AQCS.
Computer-aided Real-time Automatic Quality Control System (AQCS)
Automatic quality-control system(AQCS), developed based on deep convolutional neural network (DCNN) models, could improve the colonoscopists' performance during withdrawal phase and significantly increase polyp and adenoma detection.
Control group
Patients in control group will go through conventional standard colonoscopy examination without the assistance of the AQCS.
No interventions assigned to this group
Interventions
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Computer-aided Real-time Automatic Quality Control System (AQCS)
Automatic quality-control system(AQCS), developed based on deep convolutional neural network (DCNN) models, could improve the colonoscopists' performance during withdrawal phase and significantly increase polyp and adenoma detection.
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
* Patients with a history of colorectal surgery.
* Patients with a contraindication for biopsy.
* Patients with prior failed colonoscopy.
* Patients with known stenosis or obstruction.
* Patients in pregnancy or lactation phase.
* Patients refused to participate in the trial.
18 Years
80 Years
ALL
No
Sponsors
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Binzhou Medical University
OTHER
Shengli Oilfield Hospital
OTHER
Linyi People's Hospital
OTHER
Zibo Municipal Hospital
OTHER
The People's Hospital of Zhaoyuan City
UNKNOWN
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
Xiuli Zuo, 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
The People's Hospital of Zhaoyuan City
Yantai, Shandong, China
Zibo Municipal Hospital
Zibo, Shandong, China
Countries
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Central Contacts
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Facility Contacts
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Qiong Niu
Role: primary
Xiaodong Zhang
Role: primary
Zhenqin Cui
Role: primary
Yanqing Li
Role: primary
Xiuli Zuo
Role: backup
Li Xing
Role: primary
Weidong Zhao
Role: primary
References
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Liu J, Zhou R, Liu C, Liu H, Cui Z, Guo Z, Zhao W, Zhong X, Zhang X, Li J, Wang S, Xing L, Zhao Y, Ma R, Ni J, Li Z, Li Y, Zuo X. Automatic Quality Control System and Adenoma Detection Rates During Routine Colonoscopy: A Randomized Clinical Trial. JAMA Netw Open. 2025 Jan 2;8(1):e2457241. doi: 10.1001/jamanetworkopen.2024.57241.
Other Identifiers
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2021SDU-QILU-066
Identifier Type: -
Identifier Source: org_study_id
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