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Validation the Artificial Intelligence System for Automatic Evaluation of the Extent of Intestinal Metaplasia

NCT05464108 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 1080

Last updated 2024-12-03

No results posted yet for this study

Summary

The operative link on gastric intestinal metaplasia assessment (OLGIM) staging systems using biopsy specimens were commonly used for histological assessment of gastric cancer risk. But its clinical application is limited for at least biopsy samples. The endoscopic grading system (EGGIM) has been shown a significant correlation with the OLGIM. The investigators designed a computer-aided diagnosis program using deep neural network to automatically evaluate the extent of IM and calculate the EGGIM scores in endoscopy examination. This study is aimed at exploring the relevance of the EGGIM scores automatically evaluated by Artificial Intelligence and OLGIM scores.

Conditions

  • Intestinal Metaplasia of Gastric Mucosa
  • Artificial Intelligence
  • Endoscopy

Interventions

DIAGNOSTIC_TEST

The diagnosis of Artificial Intelligence and endosopists

Endosopists and AI will assess the EGGIM score independently when the patients is eligible. In addition, they can not see the OLGIM score of the patients.

Sponsors & Collaborators

  • Shandong University

    lead OTHER

Principal Investigators

  • yanqing Li, MD, PHD · Qilu Hospital, Shandong University

Eligibility

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

Timeline & Regulatory

Start
2022-07-01
Primary Completion
2023-12-30
Completion
2023-12-30

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 NCT05464108 on ClinicalTrials.gov