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RECRUITING
NCT07250347

AI-Assisted Detection and Staging of Gastric Cancer Using Contrast-Enhanced CT

Sponsor: The First Affiliated Hospital with Nanjing Medical University

View on ClinicalTrials.gov

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

DIAGNOSTIC_TEST

CT scan

preoperative contrast-enhanced CT

Locations (1)

The First Affiliated Hospital of Nanjing Medical University

Nanjing, Jiangsu, China