Two-component Radiology-guided Autonomous Cascade Engine (TRACE)

Recruiting N/A Interventional Study
Gastric Cancer (Diagnosis)
No Placebo Group Every participant receives an active treatment — no one gets a placebo.
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At a Glance
Sex
Any
Study type
Interventional
Purpose
Diagnostic
Participants needed
54 (estimated)
Sponsor
Liaoning Cancer Hospital & Institute · Other
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About This Trial
This study employed a prospective, randomised crossover trial design to evaluate the clinical utility of the TRACE artificial intelligence system for gastric cancer T-staging. A total of 54 radiologists from tertiary and non-tertiary hospitals, including both senior and junior practitioners, were enrolled. The study aimed to investigate whether AI-assisted diagnosis could improve the diagnostic ac…
Trial Locations
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Eligibility Criteria
Inclusion Criteria (Imaging Data) 1. Contrast-enhanced CT (CE-CT) images of gastric cancer patients from the Liaoning Cancer Hospital; 2. Patients with a definitive postoperative pathological diagnosis of gastric cancer and a clear T-stage classification (T1-T4, including T4a and T4b); 3. Imaging d…
Contacts

Guoliang Zheng

13322400728

zhengboren1@126.com

CONTACT