Research on Early Recurrence of Locally Advanced Gastric Cancer Based on CT Radiomics Prediction
NCT07683195 · Status: ENROLLING_BY_INVITATION · Type: OBSERVATIONAL · Enrollment: 900
Last updated 2026-07-07
Summary
This study aims to develop a model for predicting postoperative recurrence in patients with LAGC using artificial intelligence (AI) technology based on preoperative computed tomography (CT) images
Conditions
Sponsors & Collaborators
-
Liu Yang
lead OTHER
Principal Investigators
-
Guangyong Zhang · Qianfoshan Hospital
Eligibility
- Min Age
- 18 Years
- Max Age
- 85 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2020-01-01
- Primary Completion
- 2024-12-31
- Completion
- 2026-08-31
Countries
- China
Study Locations
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