Keywords: IVIM, Breast
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.
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