Clinical Trial

Combination of CT and Ultrasound Radiomics Combined With Liquid Biopsy to Predict Neoadjuvant Chemotherapy Response in Patients With Locally Advanced Gastric Cancer

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Summary
This prospective cohort study aims to construct an artificial intelligence (AI)-derived predictive model for neoadjuvant chemotherapy response prediction in patients with locally advanced gastric cancer based on preoperative ultrasound (US), computed tomography (CT) images and liquid biopsy. Additionally, we explore the potential biological mechanisms behind this model.
Protocol Amendment History 1 amendment
This ClinicalTrials.gov record has been amended once since 2026-07-05.
Trial Details
NCT Number NCT07697079
Lead Sponsor Liu Yang
Conditions Gastric Cancer
Enrollment 300 participants
Start Date 2027-02-01
Primary Completion 2029-12-31 (estimated)
Study Completion 2030-12-31 (estimated)
Updated on ClinicalTrials.gov 2026-07-13