Clinical trial · Observational
Prospective Radiomics Study for Breast Cancer
Prospective Study of MRI-based Radiomics in Breast Cancer
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
The goal of this prospective study is to develop MRI-based models representing tumor microenvironment in participants with invasive breast cancer. The main purpose of this study is to analyze the association of diffusion-, T2-, and dynamic contrast-enhanced T1-weighted images of 3T MRI before treatment with the immunohistochemical reactivity of tumor microenvironment including the extracellular matrix and immune cells of core-needle biopsy specimens For this purpose, investigators extract 16145 radiomic features from the intratumoral and peritumoral regions on MRI of participants with invasive breast cancer before treatment.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Breast Cancer | Malignant Breast Neoplasm | CURATED_EXACT | 0.92 |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| MRI | Diagnostic Test | — | UNRESOLVED |
Design
Arms and outcomes
Arms (0)
[]Primary outcomes (1)
- measure
- The signal intensity of Magnetic Resonance Images for tumor microenvironment
- timeFrame
- Baseline, pre-surgery
- description
- The percentage of diffusion-, T2-, and dynamic contrast-enhanced T1-weighted images correlated with the percentage of immune cells infiltrating tumor microenvironment of breast tumor tissue
Eligibility
Eligibility (as posted)
- Sex
- Female
- Minimum age
- 20 Years
- Maximum age
- 90 Years
Show eligibility criteria text
Inclusion Criteria: * Diagnosed with invaseiv breast cancer Exclusion Criteria: * Diagnosed with other cancers
References
Publications (1)
- DERIVEDKim ES, Ham S, Seo BK, Lee JY, Sun W, Jeon M, Joo M, Park S, Wang S, Lee B, Lee HY, Bae MS, Cho KR, Woo OH, Song SE, Kim SY. Optimized prediction of breast cancer tumor microenvironment using MRI-based intratumoral and peritumoral radiomics: a prospective study. Front Oncol. 2025 Nov 6;15:1654508. doi: 10.3389/fonc.2025.1654508. eCollection 2025. PMID 41278298