Integration of Longitudinal and Transverse Radiomics from Ultrasound Images with Clinical Factors for HER-2 Status Prediction in Invasive Breast Cancer Patients

Objective This study developed a nomogram combining longitudinal and transverse ultrasound radiomics with clinical factors to identify human epidermal growth factor receptor 2 (HER2) status in invasive breast cancer (BC).Materials and methods We analyzed 537 invasive BC patients from two hospitals: 436 in the training cohort (Hospital A) and 101 in the test cohort (Hospital B). From longitudinal and transverse ultrasound planes, 788 radiomics features were extracted, with dimensionality reduced using least absolute shrinkage and selection operator regression. A radiomics nomogram integrating clinical predictors and radiomics scores (Rad-scores) was constructed.Results Fifteen and sixteen features from longitudinal and transverse ultrasound planes, respectively, were selected to generate Rad-scores, which differed significantly between HER2-positive and HER2-negative groups in both cohorts (p