Peritumoral Edema Enhances Mri-based Deep Learning Radiomic Model For Axillary Lymph Node Metastasis Burden Prediction In Breast Cancer

This article discusses the use of deep learning radiomic models in predicting axillary lymph node metastasis (ALNM) burden in breast cancer patients. The study found that incorporating peritumoral edema (PE) with selected radiomic features significantly improved the prediction performance of the deep learning model. This has potential implications for personalized axillary management in breast cancer patients.