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NOT YET RECRUITING
NCT07697079

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

Sponsor: Liu Yang

View on ClinicalTrials.gov

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.

Official title: Combination of CT and Ultrasound Radiomics Combined With Liquid Biopsy to Predict Neoadjuvant Chemotherapy Response in Patients With Locally Advanced Gastric Cancer: A Prospective Study

Key Details

Gender

All

Age Range

18 Years - 80 Years

Study Type

OBSERVATIONAL

Enrollment

300

Start Date

2027-02-01

Completion Date

2030-12-31

Last Updated

2026-07-13

Healthy Volunteers

No

Conditions

Locations (1)

QianfoshanH

Jinan, Shandong, China