MRI Dataset of Metastatic Breast Cancer to the Brain with Expert-reviewed Segmentations and Tumor-derived Radiomic Features (BCBM-RadioGenomics)

This dataset consists of 268 T1-post contrast Magnetic Resonance Images (MRIs) in NIfTI format from 165 patients with histologically confirmed metastatic breast cancer to the brain. A brain extraction tool was applied to remove the skull and face. We also performed intensity inhomogeneity correction using N4 bias correction. The dataset includes segmented masks for tumor, postoperative tumor bed/resection cavity, and neighboring structures of interest as well as a comprehensive catalog of tumor-derived radiomic features. In addition, we provide patient age, gender, genetic status for progesterone Receptor (PR), estrogen receptor (ER), and Human Epidermal Growth Factor Receptor 2 (HER2). This collection provides a platform for diverse applications ranging from the development of machine learning models in computer vision and radiogenomics to educational uses for neurosurgery, radiation oncology, and neuroradiology trainees.