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

RECRUITINGSponsored by The First Affiliated Hospital with Nanjing Medical University
Actively Recruiting
SponsorThe First Affiliated Hospital with Nanjing Medical University
Started2025-08-01
Est. completion2028-12-30
Eligibility
Age18 Years – 85 Years
Healthy vol.Accepted
View on ClinicalTrials.gov →

NCT07250347

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

Age: 18 Years – 85 YearsHealthy volunteers accepted
Inclusion Criteria:

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

Exclusion Criteria:

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

Conditions3

CancerGastric Cancer Patients Undergoing GastrectomyGastric Cancer Stage

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