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
The First Affiliated Hospital with Nanjing Medical University
8,000 participants
Aug 1, 2025
OBSERVATIONAL
Conditions
Summary
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) .
Eligibility
Inclusion Criteria4
- pathologically confirmed gastric cancer;
- preoperative contrast-enhanced CT performed;
- no evidence of distant metastasis on baseline staging;
- curative-intent management with complete postoperative histopathology.
Exclusion Criteria2
- prior treatment before surgery;
- non-diagnostic or poor-quality CT precluding evaluation.
Interventions
preoperative contrast-enhanced CT
Locations(1)
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NCT07250347