The purpose of this study was to assess the performance of automatic quality-control system (AQCS) in real-time quality control of colonoscopy.
We carried a multicenter randomised controlled trial to assess the performance of this system in quality control of real-time colonoscopy, including the adenoma detection rate (ADR), withdraw time, adequate bowel preparation rate and other indicators.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
OTHER
Masking
SINGLE
Enrollment
1,254
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.
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
Colorectal adenoma detection rate (ADR)
The primary endpoint is the adenoma detection rate (ADR), which is the proportion of patients having one or more adenomas detected by colonoscopy.
Time frame: 10 months
Colorectal polyp detection rate (PDR)
The polyp detection rate (PDR) is the proportion of patients having one or more polyps detected by colonoscopy.
Time frame: 10 months
The mean number of adenomas detected per colonoscopy (APC)
The mean number of adenomas detected per colonoscopy in AQCS and control groups
Time frame: 10 months
The mean number of polyps detected per colonoscopy (PPC)
The mean number of polyps detected per colonoscopy in AQCS and control groups
Time frame: 10months
Withdrawl time
Withdrawl time is defined as the time taken to remove the colonoscope from the cecal pole minus the time of therapeutic interventions or biopsy, until the complete withdrawal of the colonoscope.
Time frame: During procedure
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The People's Hospital of Zhaoyuan City
Yantai, Shandong, China
Zibo Municipal Hospital
Zibo, Shandong, China