IVIM-DWI prediction of pCR before neoadjuvant chemotherapy in breast cancer

Motivation: A nomogram incorporated radiomics and morphology was developed to predict pCR. Goal(s): This study developed a predictive model using baseline imaging of morphology and radiomics for the purpose of predicting the pCR to NACT. Approach: Radiomics and conventional magnetic resonance imaging signs analysis were performed. To build a nomogram model that integrates the radiomics signature and conventional imaging, a logistic regression method was employed. Results: The nomogram showed good performance and was a valuable tool in clinic. Impact: Through the validation process, the nomogram developed in this study showed good performance, effectively predicting pCR in breast cancer. Hence, it serves as a valuable tool for informing individualized treatment decision-making for breast cancer patients.