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

NCT07697079 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 300

Last updated 2026-07-13

No results posted yet for this study

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.

Conditions

Sponsors & Collaborators

  • Liu Yang

    lead OTHER

Principal Investigators

  • Guang yong Zhang · Qianfoshan Hospital

Eligibility

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

Timeline & Regulatory

Start
2027-02-01
Primary Completion
2029-12-31
Completion
2030-12-31

Countries

  • China

Study Locations

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Entities

Diseases

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 NCT07697079 on ClinicalTrials.gov