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

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) .

NCT Number	NCT07250347
Lead Sponsor	The First Affiliated Hospital with Nanjing Medical University Collaborators: Jiangsu Cancer Institute & Hospital, Zhengzhou University, Peking University First Hospital
Conditions	Gastric Cancer Stage, Gastric Cancer Patients Undergoing Gastrectomy
Enrollment	8,000 participants
Start Date	2025-08-01
Primary Completion	2028-12-30 (estimated)
Study Completion	2028-12-30 (estimated)
Updated on ClinicalTrials.gov	2025-11-26