ArticleInternational journal of general medicine2026
MRI-Based Intratumoral and Multi-Range Peritumoral Radiomics for Predicting Axillary Lymph Node Metastasis in Breast Cancer.
Article in International journal of general medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: To determine the best-performing peritumoral boundary among tested distances and evaluate the predictive value of preoperative multiparametric MRI radiomics for axillary lymph node metastasis (ALNM) in breast cancer. Methods: Clinical and imaging data of 273 patients from two centers were retrospectively analyzed. ROIs were manually delineated on Fs-T2WI and DCE-MRI images, and peritumoral regions were generated by expanding the tumor ROI by 3 mm, 5 mm, and 7 mm. Patients from Center 1 (n = 201) were randomly divided into training and internal validation set (7:3), while Center 2 (n = 72) served as the external validation set. LASSO regression and an SVM classifier were used to construct predictive models. A nomogram integrating the best-performing radiomic model with clinical parameters was developed. Model performance was assessed using AUC and DCA. Results: Maximum tumor diameter was identified as an independent risk factor for ALNM (OR = 4.042, 95% CI: 2.488-6.532; Conclusion: Among the tested distances, a 5 mm peritumoral margin provided the best predictive performance for ALNM. The multiparametric MRI radiomic model effectively predicts ALNM and offers a valuable non-invasive tool for preoperative assessment.
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