A comprehensive dataset of annotated brain metastasis MR images with clinical and radiomic data

Brain metastasis (BM) is one of the main complications of many cancers, and the most frequent malignancy of the central nervous system. Imaging studies of BMs are routinely used for diagnosis of disease, treatment planning and follow-up. Artificial Intelligence (AI) has great potential to provide automated tools to assist in the management of disease. However, AI methods require large datasets for training and validation, and to date there have been just one publicly available imaging dataset of 156 BMs. This paper publishes 637 high-resolution imaging studies of 75 patients harboring 260 BM lesions, and their respective clinical data. It also includes semi-automatic segmentations of 593 BMs, including pre- and post-treatment T1-weighted cases, and a set of morphological and radiomic features for the cases segmented. This data-sharing initiative is expected to enable research into and performance evaluation of automatic BM detection, lesion segmentation, disease status evaluation and treatment planning methods for BMs, as well as the development and validation of predictive and prognostic tools with clinical applicability.

Automated summary

Brain metastasis is a common complication of many cancers, and artificial intelligence has the potential to assist in disease management. However, there is a lack of available datasets for AI methods. This paper provides a large dataset of high-resolution imaging studies, including segmentations and clinical data, which can facilitate research and evaluation of automatic detection and treatment planning methods for brain metastasis.