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

Sponsor
Shandong University (Other)
Overall Status
Recruiting
CT.gov ID
NCT04720924
Collaborator
Binzhou Medical University (Other), Central Hospital of Shengli Oilfield (Other), Peking University Care Luzhong Hospital (Other), Linyi People's Hospital (Other), Zibo municipal hospital (Other)
1,840
6
2
11.4
306.7
26.8

Study Details

Study Description

Brief Summary

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

Condition or Disease Intervention/Treatment Phase
  • Device: Computer-aided Real-time Automatic Quality-control System
N/A

Detailed Description

Investigators developed a real-time quality control system of esophagogastroduodenoscopy(EGD) named EGD automatic quality-control system (AQCS). Investigators carried a prospective multicenter randomized controlled trial to assess the performance of this system in quality control of real-time EGD, including detecting the early upper gastrointestinal cancer and precancerous lesions, assessing inspection completeness, mucosal visibility, time of EGD procedure and other indicators.

Study Design

Study Type:
Interventional
Anticipated Enrollment :
1840 participants
Allocation:
Randomized
Intervention Model:
Parallel Assignment
Masking:
Single (Participant)
Primary Purpose:
Other
Official Title:
Computer-aided Real-time Automatic Quality-control System for Detection of Early Cancer and Precancerous Lesions on Upper Gastrointestinal Tract: a Multicenter Randomized Controlled Study
Actual Study Start Date :
Jan 16, 2021
Anticipated Primary Completion Date :
Jun 1, 2021
Anticipated Study Completion Date :
Dec 30, 2021

Arms and Interventions

Arm Intervention/Treatment
Experimental: AQCS-aided group

Patients in AQCS-aided group will go through white light EGD examination with assistance of AQCS.

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.

No Intervention: Control group

Patients in control group will go through white light EGD examination without AQCS.

Outcome Measures

Primary Outcome Measures

  1. Detection rate of early cancer and precancerous lesions on upper gastrointestinal tract confirmed by pathological examination [6 months]

    The primary outcome is the detection rate of early cancer and precancerous lesions on upper gastrointestinal tract confirmed by pathological examination per group.

Secondary Outcome Measures

  1. Detection rate of early cancer and precancerous lesions on upper gastrointestinal tract in tertiary hospitals and secondary hospitals. [6 months]

    Effect of detection rate of early cancer and precancerous lesions on upper gastrointestinal tract from tertiary hospitals and secondary hospitals with assistance of AQCS.

  2. Mean inspection completeness of two groups. [6 months]

    Inspection completeness includes taking standard images of each parts of esophageal and gastric cavity.

  3. Mean inspection time of EGD procedure of two groups. [During procedure]

    Inspection time of EGD procedure is the time endoscopy inserting to withdrawing the mouth and does not include the time of biopsy.

  4. Detection rate of early cancer and precancerous lesions on upper gastrointestinal tract from senior, intermediate and primary endoscopist with assistance of AQCS. [6 months]

    Effect of detection rate of early cancer and precancerous lesions on upper gastrointestinal tract from senior, intermediate and primary endoscopist with assistance of AQCS.

Eligibility Criteria

Criteria

Ages Eligible for Study:
40 Years to 80 Years
Sexes Eligible for Study:
All
Accepts Healthy Volunteers:
No
Inclusion Criteria:
  • Patients aged 40-80 years old

  • Patients scheduled for white light EGD examination with anaesthesia

  • American Society of Anesthesiology risk class 1, 2 or 3

Exclusion Criteria:
  • Patients with known advanced esophageal or gastric cancer

  • 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

Contacts and Locations

Locations

Site City State Country Postal Code
1 Binzhou Medical University Hospital Binzhou Shandong China
2 Linyi People's Hospital Dezhou Shandong China
3 Central Hospital of Shengli Oilfield Dongying Shandong China
4 Qilu Hospital of Shandong University Jinan Shandong China 250012
5 PKUcare Luzhong Hospital Zibo Shandong China
6 Zibo Municipal Hospital Zibo Shandong China

Sponsors and Collaborators

  • Shandong University
  • Binzhou Medical University
  • Central Hospital of Shengli Oilfield
  • Peking University Care Luzhong Hospital
  • Linyi People's Hospital
  • Zibo municipal hospital

Investigators

  • Study Chair: Yanqing Li, PhD, Qilu Hospital of Shandong University

Study Documents (Full-Text)

None provided.

More Information

Publications

None provided.
Responsible Party:
Yanqing Li, Vice president of Qilu Hospital, Shandong University
ClinicalTrials.gov Identifier:
NCT04720924
Other Study ID Numbers:
  • 2020SDU-QILU-1022
First Posted:
Jan 22, 2021
Last Update Posted:
Feb 25, 2021
Last Verified:
Feb 1, 2021
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
No
Keywords provided by Yanqing Li, Vice president of Qilu Hospital, Shandong University

Study Results

No Results Posted as of Feb 25, 2021