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

No results posted yet for this study

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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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 NCT06396143 on ClinicalTrials.gov