New Dataset: MRI Dataset of Metastatic Breast Cancer to the Brain with Expert-reviewed Segmentations and Tumor-derived Radiomic Features
MRI Dataset of Metastatic Breast Cancer to the Brain with Expert-reviewed Segmentations and Tumor-derived Radiomic Features (BCBM-RadioGenomics) 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. The comprehensiveness of this data makes it a prime resource for investigations on any individual component (raw images, genetics, radiomics, etc.), whether serving as a validation dataset or as an exploratory one.
The 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. Some patients underwent repeat Gamma Knife treatments (usually for recurrence), resulting in 268 total studies. The dataset includes segmented masks for tumor, postoperative tumor bed/resection cavity, neighboring structures of interest, and a comprehensive catalog of 107 tumor-derived radiomic features (for each segmentation) generated using Pyradiomics. The segmentations were created and reviewed by at least one neurosurgeon and one radiation oncologist during their initial treatment. There are also clinical demographics (patient age and sex) and genetic status for progesterone receptor (PR), estrogen receptor (ER), and Human Epidermal Growth Factor Receptor 2 (HER2).