Prediction of HER2 expression in breast cancer by combining PET/CT radiomic analysis and machine learning

Human epidermal growth factor receptor 2 (HER2) expression status determination significantly contributes to HER2-targeted therapy in breast cancer (BC). The purpose of this study was to evaluate the role of radiomics and machine learning based on PET/CT images in HER2 status prediction, and to identify the most effective combination of machine learning model and radiomic features.A total of 217 BC patients who underwent PET/CT examination were...