Integrative Radiogenomics Using MRI Radiomics and Microarray Gene Expression Analysis to Predict Pathological Complete Response in Patients with Breast Cancer Undergoing Neoadjuvant Chemotherapy

Machine learning-based radiogenomics, which combines MRI features and DNA microarray data, improved the accuracy of pCR prediction after NAC, although the improvement was not statistically significant. These findings suggest the potential utility of radiogenomics as a non-invasive tool to support treatment decision-making in patients undergoing NAC.