Research on Intelligent Screening and Decision-making for Neoadjuvant Therapy in Locally Advanced Gastric Cancer Based on Multi-omics Integration
NCT06396143 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 120
Last updated 2024-05-02
Summary
In this study, investigators utilize a radiopathomics integrated Artificial Intelligence (AI) supportive system to predict tumor response to neoadjuvant chemoradiotherapy (nCRT) before its administration for patients with locally advanced gastric cancer (LAGC). By the system, the postoperative tumor regression grade (TRG) of the participants will be identified based on the radiopathomics features extracted from the pre-nCRT Enhanced CT and biopsy images. The ability to predict TRG will be validated in this multicenter, prospective clinical study.
Conditions
- Locally Advanced Gastric Carcinoma
Sponsors & Collaborators
-
Zhejiang University
lead OTHER
Eligibility
- Min Age
- 18 Years
- Max Age
- 75 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2024-07-01
- Primary Completion
- 2025-06-01
- Completion
- 2025-12-01
Countries
- China
Study Locations
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