Radiomics-based Machine Learning Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer Using Physiologically Decomposed Diffusion-weighted MRI

A machine learning model including radiomics features extracted from physiologically decomposed diffusion-weighted MRI data achieved higher performance in predicting pathologic complete response following neoadjuvant chemotherapy for breast cancer compared with baseline and benchmark models.