Optimized prediction of breast cancer tumor microenvironment using MRI-based intratumoral and peritumoral radiomics: a prospective study
MRI-based radiomic features from both intratumoral and peritumoral regions are significantly associated with TME components in invasive breast cancer. Contrast-enhanced T1-weighted sequences provided the most robust performance. These findings highlight the potential of MRI-based radiomics as a powerful noninvasive biomarker for characterizing the TME and informing personalized therapeutic strategies, including immunotherapy and ECM-targeted treatments.
Authors
- Sungwon Ham (ORCID: https://orcid.org/0000-0002-2886-6952)
- Shuncong Wang (ORCID: https://orcid.org/0000-0003-0656-2760)
- Myung Jae Jeon (ORCID: https://orcid.org/0000-0001-5582-1488)
- Sung Eun Song (ORCID: https://orcid.org/0000-0002-9259-8294)
- Min Sun Bae (ORCID: https://orcid.org/0000-0002-1971-3428)
- Seonghoon Park (ORCID: https://orcid.org/0000-0002-7336-6295)
- Hye Yoon Lee (ORCID: https://orcid.org/0000-0001-9077-1412)
- Kyu Ran Cho (ORCID: https://orcid.org/0000-0002-8936-6468)
- Bo Kyoung Seo (ORCID: https://orcid.org/0000-0002-9512-5361)
- Woong Sun (ORCID: https://orcid.org/0000-0003-1792-4894)
- Moon Kyung Joo (ORCID: https://orcid.org/0000-0001-6050-3695)
- Ok Hee Woo (ORCID: https://orcid.org/0000-0003-3953-933X)
- Ji Young Lee (ORCID: https://orcid.org/0000-0002-6102-0510)
- Min Jung Kim (ORCID: https://orcid.org/0000-0003-4949-1237)
- Boram Lee (ORCID: https://orcid.org/0000-0003-4631-7372)
- Eun Sil Kim (ORCID: https://orcid.org/0000-0002-0632-9902)
Institutions
- Korea University (KR)
- Korea University Medical Center (KR)
- Ansan University (KR)
- Institute for Medical Research (MY)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-11-06
- DOI
- https://doi.org/10.3389/fonc.2025.1654508
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00