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AQCS for Detection of Early Cancer and Precancerous Lesions on Upper Gastrointestinal Tract

NCT04720924 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 1840

Last updated 2024-05-29

No results posted yet for this study

Summary

The purpose of our study was to assess the performance of esophagogastroduodenoscopy automatic quality-control system in real-time quality control of EGD.

Conditions

  • Esophagogastroduodenoscopy

Interventions

DEVICE

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.

Sponsors & Collaborators

  • Binzhou Medical University

    collaborator OTHER

  • Shengli Oilfield Hospital

    collaborator OTHER

  • Peking University Care Luzhong Hospital

    collaborator OTHER

  • Linyi People's Hospital

    collaborator OTHER

  • Zibo Municipal Hospital

    collaborator OTHER

  • Shandong University

    lead OTHER

Principal Investigators

  • Yanqing Li, PhD · Qilu Hospital of Shandong University

Study Design

Allocation
RANDOMIZED
Purpose
OTHER
Masking
SINGLE
Model
PARALLEL

Eligibility

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

Timeline & Regulatory

Start
2021-01-16
Primary Completion
2023-06-30
Completion
2023-12-31

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 NCT04720924 on ClinicalTrials.gov