DiCenzo D, Quiaoit K, Fatima K, et al. - Researchers used pretreatment quantitative ultrasound (QUS) radiomics to construct a model for predicting response to neoadjuvant chemotherapy (NAC) among patients suffering from locally advanced breast cancer (LABC), via this multicenter study involving four sites across North America. This study included 82 patients with LABC. Prior to the initiation of NAC, scanning of primary tumors was done using a clinical ultrasound system. From the normalized power spectrum, experts derived QUS spectral parameters, and texture analysis was carried out on the basis of six QUS features using a gray level co‐occurrence matrix. Responders and nonresponders were 48 and 34, respectively, based on the clinical results of NAC treatment. The best classifier performance resulted from a K‐nearest neighbors (K‐ NN) approach, affording a sensitivity, specificity, and accuracy of 91%, 83%, and 87%, respectively. Overall, findings revealed acceptable accuracy of QUS‐based radiomics in predicting response to NAC based on pretreatment features.