Radiomics in breast cancer: Current advances and future directions

Breast cancer is a common disease that causes great health concerns to women worldwide. During the diagnosis and treatment of breast cancer, medical imaging plays an essential role, but its interpretation relies on radiologists or clinical doctors. Radiomics can extract high-throughput quantitative imaging features from images of various modalities via traditional machine learning or deep learning methods following a series of standard processes. Hopefully, radiomic models may aid various processes in clinical practice. In this review, we summarize the current utilization of radiomics for predicting clinicopathological indices and clinical outcomes. We also focus on radio-multi-omics studies that bridge the…

• SA
  Shanghai Anti-Cancer Association
• NN
  National Natural Science Foundation of China

  Awards: 92159301, 82373167, 12DZ2260100, 82271957
• FU
  Fudan University
• SM
  Shanghai Medical College, Fudan University