Machine Learning Based on Multi-Parametric MRI to Predict Risk of Breast Cancer

Purpose Machine learning (ML) can extract high-throughput features of images to predict disease. This study aimed to develop nomogram of multi-parametric MRI (mpMRI) ML model to predict the risk of breast cancer. Methods The mpMRI included non-enhanced and enhanced T1-weighted imaging (T1WI), T2-weighted imaging (T2WI), apparent diffusion coefficient (ADC), K trans , K ep , V e , and V p . Regions of interest were annotated in an enhanced T1WI...