Clinical trial · Observational
Automatic Evaluation of the Severity of Gastric Intestinal Metaplasia With Pathology Artificial Intelligence Diagnosis System
Automatic Evaluation of the Severity of Gastric Intestinal Metaplasia With Pathology Artificial Intelligence Diagnosis System: a Diagnostic Test
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
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.
Conditions
Conditions (4)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Artificial Intelligence | — | UNRESOLVED | — |
| Gastric Cancer | Malignant Gastric Neoplasm | CURATED_BROADER | 0.80 |
| Gastric Intestinal Metaplasia | — | UNRESOLVED | — |
| Pathology | — | UNRESOLVED | — |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| The diagnosis of Artificial Intelligence and pathologists | Diagnostic Test | — | UNRESOLVED |
Design
Arms and outcomes
Arms (1)
- label
- Whole slide images of gastric biopsy specimens
- description
- Whole slide images of gastric biopsy specimens
- interventionNames
- Diagnostic Test: The diagnosis of Artificial Intelligence and pathologists
Primary outcomes (1)
- measure
- The diagnostic performance of AI model to assess the severity of intestinal metaplasia
- timeFrame
- 2 years
- description
- The diagnostic performance of AI model to assess the severity of intestinal metaplasia in a single biopsy tissue slide: Accuracy, sensitivity, and specificity
Secondary outcomes (2)
- measure
- Accuracy of the digital pathological AI model to identify tumor regions
- timeFrame
- 2 years
- description
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 40 Years
- Maximum age
- 75 Years
Show eligibility criteria text
Inclusion Criteria: * patients aged 40-75 years who undergo the gastroscopy examination and biopsy Exclusion Criteria: * patients with severe cardiac, cerebral, pulmonary or renal dysfunction or psychiatric disorders who cannot participate in gastroscopy * patients with previous surgical procedures on the stomach * patients with contraindications to biopsy * patients who refuse to sign the informed consent form
References
Publications (0)
Data not yet available