Status: Not yet recruiting
Combination of CT and Ultrasound Radiomics Combined With Liquid Biopsy to Predict Neoadjuvant Chemotherapy Response in Patients With Locally Advanced Gastric Cancer
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.
Participants needed: 300
Trial details
Age: 18-80Biological sex: AllType: ObservationalSponsor: Liu YangUpdated: Jul 13, 2026Locations: 1
Eligibility criteria
Capable of understanding the study and voluntarily signing the written informed... [+6]
Diagnosis of non-primary gastric cancer. [+4]