Prediction of Pathological Response to Neoadjuvant Chemotherapy in Breast Cancer Using Intravoxel Incoherent Motion Histogram Parameters

Motivation: The motivation behind this study lies in the need for accurate prediction of pathological response to neoadjuvant chemotherapy (NAC) in breast cancer. Goal(s): Our goal was to assess the potential of IVIM-derived histogram parameters as predictive markers before NAC in breast cancer patients. Approach: We conducted a comprehensive analysis of 287 breast cancer cases, utilizing IVIM model-based parameters and multivariate logistic regression. The study included voxel-wise analysis. Results: The prediction model, combining the selected IVIM parameters and PR status, exhibited strong discriminative power. Additionally, we identified the minimum of D, Skewness of D* and D as significant volumetric predictors associated with pCR. Impact: The impact of this study is significant, as it enhances breast cancer treatment by providing a reliable predictive model for neoadjuvant chemotherapy response, potentially improving patient outcomes and treatment strategies.