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

NCT07250347 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 8000

Last updated 2025-11-26

No results posted yet for this study

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) .

Conditions

  • Gastric Cancer Stage
  • Gastric Cancer Patients Undergoing Gastrectomy

Interventions

DIAGNOSTIC_TEST

CT scan

preoperative contrast-enhanced CT

Sponsors & Collaborators

  • Jiangsu Cancer Institute & Hospital

    collaborator OTHER

  • The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital

    collaborator UNKNOWN

  • Peking University First Hospital

    collaborator OTHER

  • The First Affiliated Hospital with Nanjing Medical University

    lead OTHER

Principal Investigators

  • Zhang Yudong · The First Affiliated Hospital with Nanjing Medical University

Eligibility

Min Age
18 Years
Max Age
85 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-08-01
Primary Completion
2028-12-30
Completion
2028-12-30

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07250347 on ClinicalTrials.gov