Assessment of Breast Cancer Molecular Subtypes with a mMRI-based Feature Fusion Radiomics Model: Mimicking Radiologists’ Diagnostic Approach

Since breast cancer is a highly heterogeneous tumor, prognosis and treatment response differ significantly according to different molecular subtypes. Based on multiparametric magnetic resonance imaging (MRI), we developed a feature fusion radiomics (RFF) model and investigated its performance in identifying the molecular receptor status of breast cancer. Mimicking the diagnostic approach of the radiologists by integrating image information from different MR sequences, the RFF model outperformed any single MRI-based radiomics model, demonstrating its potential for molecular subtypes classification of breast tumors.