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

Recruiting now

Conditions studied: Gastric Cancer Stage, Gastric Cancer Patients Undergoing Gastrectomy

In brief

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) .

Key facts

Study ID

NCT07250347

Run by

The First Affiliated Hospital with Nanjing Medical University

People needed

8000

Starts

2025-08-01

Expected to finish

2028-12-30

Last updated by the study team

2025-11-26

Who can join

Age: 18 and older, up to 85. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• pathologically confirmed gastric cancer;
• preoperative contrast-enhanced CT performed;
• no evidence of distant metastasis on baseline staging;
• curative-intent management with complete postoperative histopathology.

You may not qualify if…

• prior treatment before surgery;
• non-diagnostic or poor-quality CT precluding evaluation.

Where it is running

• The First Affiliated Hospital of Nanjing Medical University — Nanjing, Jiangsu, China (enrolling)

Full record on ClinicalTrials.gov

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