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NCT05447221

Automatic Evaluation of the Severity of Gastric Intestinal Metaplasia With Pathology Artificial Intelligence Diagnosis System

Status unknown Last updated 6 September 2023
What this trial tests

trial testing The diagnosis of Artificial Intelligence and pathologists in Gastric Intestinal Metaplasia in 150 participants. Status unknown.

Timeline
1 August 2022
Primary endpoint
31 December 2023
31 December 2023

Quick facts

Lead sponsorShandong University
StatusStatus unknown
Study typeOBSERVATIONAL
Enrollment150
Start date1 August 2022
Primary completion31 December 2023
Estimated completion31 December 2023
Sites1 location across China

Drugs / interventions tested

Conditions studied

Sponsor

Shandong University

Who can join

Adults 40 to 75, any sex, with Gastric Intestinal Metaplasia or Artificial Intelligence. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

The OLGIM staging system is highly recommended for a comprehensive assessment of GIM severity to evaluate patients' gastric cancer risk. However, its need to take at least 4 biopsies is not clinically feasible due to a serious shortage of pathologists compared with the large number of gastric cancer screening population. We plan to develop a Digital Pathology artificial intelligence diagnosis system (DPAIDS), to automatically identify tumor areas in whole slide images(WSI) and quickly and accurately quantify the severity of intestinal metaplasia according to the proportion of intestinal metaplasia areas.

Publications & conference data

1 peer-reviewed publication reference this trial (live from Europe PMC):

  1. Current Role of Artificial Intelligence in the Management of Gastric Cancer.
    Liatsou E, Driva TS, Vergadis C, Sakellariou S, et al · · 2025 · PMID 41462951 · DOI 10.3390/biomedicines13122939

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Other recruiting trials for Gastric Intestinal Metaplasia

Currently open trials in the same condition.

Other Shandong University trials

Trials by the same sponsor.

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Data sources for this page

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