Clinical–radiomics model for predicting internal mammary lymph node metastasis in operable breast cancer patients
Although the clinical model was effective in predicting IMN status, the addition of DCE<b>-</b>MRI radiomics significantly improved the predictive value of the clinical-radiomics model, which showed excellent discrimination, calibration, and stability. This suggests that the clinic-radiomics model has potential for preoperative assessment of IMN metastasis risk in breast cancer patients, but external validation is needed to confirm its clinical utility. IMN irradiation is recommended for early patients with high IMN metastasis risk, and overtreatment should be avoided for patients with low metastasis risk.
Authors
- Jianbin Li (ORCID: https://orcid.org/0000-0001-9928-5197)
- Wenyu Zhang (ORCID: https://orcid.org/0000-0003-0010-3862)
- Wei Wang (ORCID: https://orcid.org/0000-0001-5793-2130)
- Qian Wu (ORCID: https://orcid.org/0000-0002-3986-6042)
- Chenglin Yang (ORCID: https://orcid.org/0000-0002-0834-5164)
- Ting Yu
Institutions
- Yuhuangding Hospital (CN)
- Shandong Tumor Hospital (CN)
- Shandong Provincial Hospital (CN)
- Shandong First Medical University (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-04-03
- DOI
- https://doi.org/10.3389/fonc.2025.1477866
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Natural Science Foundation of Shandong Province