Clinical trial · Observational
AI-Assisted Detection and Staging of Gastric Cancer Using Contrast-Enhanced CT
Langue and Imaging-integrated Foundation Model for Gastric Cancer Detection and Staging Via Contrast-Enhanced CT: a Multicenter Study
- 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)
Accurate preoperative assessment of gastric cancer stage guides eligibility for endoscopic resection, extent of gastrectomy and lymphadenectomy, selection for neoadjuvant therapy, and use of staging laparoscopy. Contrast-enhanced CT (CECT) is guideline-endorsed for initial staging, yet performance varies across institutions and readers. This study will evaluate an artificial-intelligence (AI) system that analyzes routine CECT to detect gastric cancer and assign four-class T stage (T1-T4) and N stage (N0-N3) .
Conditions
Conditions (2)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Gastric Cancer Patients Undergoing Gastrectomy | — | UNRESOLVED | — |
| Gastric Cancer Stage | — | UNRESOLVED | — |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| CT scan | Diagnostic Test | — | UNRESOLVED |
Design
Arms and outcomes
Arms (3)
- label
- Cohort 1 (Internal Derivation Cohort)
- description
- Retrospective case-only cohort of adults with pathologically confirmed gastric cancer who underwent preoperative contrast-enhanced CT at the sponsoring institution. Existing CT images and clinical/pathology records will be used to train and test the AI model and to estimate diagnostic performance for T and N staging.
- interventionNames
- Diagnostic Test: CT scan
- label
- Cohort 2 (External Validation Cohort A)
- description
- Independent retrospective case-only cohort from an external hospital with the same inclusion/exclusion criteria. Used solely for external validation to assess reproducibility across sites and scanners.
- interventionNames
- Diagnostic Test: CT scan
- label
- Cohort 3 (External Validation Cohort B)
- description
- A second independent retrospective validation cohort from another institution to further test generalizability.
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
- Maximum age
- 85 Years
Show eligibility criteria text
Inclusion Criteria: 1. pathologically confirmed gastric cancer; 2. preoperative contrast-enhanced CT performed; 3. no evidence of distant metastasis on baseline staging; 4. curative-intent management with complete postoperative histopathology. Exclusion Criteria: 1. prior treatment before surgery; 2. non-diagnostic or poor-quality CT precluding evaluation.
References
Publications (0)
Data not yet available