AI-assisted CT detection and staging of stomach cancer

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

Adults with pathologically confirmed gastric cancer who undergo pre-treatment contrast-enhanced CT and curative-intent surgery will be enrolled. The AI will analyze routine clinical CECT images to detect tumors and assign four-class T stage and N stage, and its outputs will be compared to surgical pathology supplemented by clinical follow-up. Radiologists will interpret scans with and without AI assistance in a prespecified reader study to measure changes in diagnostic accuracy, interpretation time, and inter-reader agreement. The primary outcomes are detection performance and multi-class staging accuracy (including AUC), with secondary outcomes including reader impact and cross-site reproducibility.

Why it matters

Who can join: the full rules

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.

Where it's running

• The First Affiliated Hospital of Nanjing Medical University
  Nanjing, Jiangsu, China Recruiting

Study contacts

• Principal investigator: Zhang Yudong — The First Affiliated Hospital with Nanjing Medical University
• Study coordinator: Zhang Yudong, PHD, MD
• Email: zhangyd3895@njmu.edu.cn
• Phone: +8618251966069

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.