PGR and neoplasm: Machine-learning-based modelsbased on the imaging features were trained using a portion of the data (461patients) to predict the following molecular, genomic, and proliferationcharacteristics: tumour surrogate molecular subtype, oestrogen receptor,progesterone receptor and human epidermal growth factor status, as well as atumour proliferation marker (Ki-67).