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.

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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

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article

Clinical–radiomics model for predicting internal mammary lymph node metastasis in operable breast cancer patients

Jianbin Li, Wenyu Zhang, Wei Wang, Qian Wu et al.
1 links
Frontiers in Oncology
Radiomics and Machine Learning in Medical Imaging
article

Clinical–radiomics model for predicting internal mammary lymph node metastasis in operable breast cancer patients

Jianbin Li, Wenyu Zhang, Wei Wang, Qian Wu, Chenglin Yang, Ting Yu
article en

Abstract

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.

Frontiers in OncologyVol. 15
Yuhuangding Hospital (CN), Shandong Tumor Hospital (CN), Shandong Provincial Hospital (CN), Shandong First Medical University (CN)
Natural Science Foundation of Shandong Province
Reduced inequalities
Openalex Percentile: Top 90%
Radiomics and Machine Learning in Medical Imaging
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Clinical–radiomics model for predicting internal mammary lymph node metastasis in operable breast cancer patients — Jianbin Li, Wenyu Zhang, et al. · Frontiers in Oncology (2025) | TGRS Research Map | TGRS