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Impact of Real-time Automatic Quality Control System on Colorectal Adenoma Detection

NCT04901130 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 1254

Last updated 2021-05-25

No results posted yet for this study

Summary

The purpose of this study was to assess the performance of automatic quality-control system (AQCS) in real-time quality control of colonoscopy.

Conditions

  • Colonoscopy

Interventions

DEVICE

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.

Sponsors & Collaborators

  • Binzhou Medical University

    collaborator OTHER

  • Shengli Oilfield Hospital

    collaborator OTHER

  • Linyi People's Hospital

    collaborator OTHER

  • Zibo Municipal Hospital

    collaborator OTHER

  • The People's Hospital of Zhaoyuan City

    collaborator UNKNOWN

  • Shandong University

    lead OTHER

Principal Investigators

  • Yanqing Li, PhD · Qilu Hospital of Shandong University

  • Xiuli Zuo, PhD · Qilu Hospital of Shandong University

Study Design

Allocation
RANDOMIZED
Purpose
OTHER
Masking
SINGLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Max Age
80 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-05-27
Primary Completion
2022-01-01
Completion
2022-01-31

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04901130 on ClinicalTrials.gov