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AI-Assisted Detection and Staging of Gastric Cancer Using Contrast-Enhanced CT
Sponsor: The First Affiliated Hospital with Nanjing Medical University
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) .
Official title: Langue and Imaging-integrated Foundation Model for Gastric Cancer Detection and Staging Via Contrast-Enhanced CT: a Multicenter Study
Key Details
Gender
All
Age Range
18 Years - 85 Years
Study Type
OBSERVATIONAL
Enrollment
8000
Start Date
2025-08-01
Completion Date
2028-12-30
Last Updated
2025-11-26
Healthy Volunteers
No
Interventions
CT scan
preoperative contrast-enhanced CT
Locations (1)
The First Affiliated Hospital of Nanjing Medical University
Nanjing, Jiangsu, China