MRI-Driven Precision Typing and Response Prediction in Luminal Breast Cancer
NCT07692230 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 2000
Last updated 2026-07-21
Summary
Luminal breast cancer is characterized by marked heterogeneity, resulting in diverse treatment responses and long-term outcomes. This project aims to integrate MRI and multiomics data to achieve non-invasive molecular typing and precise response prediction. By linking imaging phenotypes with underlying molecular and pathological characteristics, the investigators will develop predictive models for treatment resistance, recurrence, and metastasis, ultimately supporting personalized treatment strategies and precision oncology.
Conditions
- HR Positive/HER-2 Negative Breast Cancer
Sponsors & Collaborators
-
Fudan University
lead OTHER
Eligibility
- Sex
- FEMALE
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2026-01-06
- Primary Completion
- 2027-12-31
- Completion
- 2029-12-31
Countries
- China
Study Locations
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