A multi-institutional pediatric dataset of clinical radiology MRIs by the Children's Brain Tumor Network.

ABSTRACT: Pediatric brain and spinal cancers remain the leading cause of cancer-related death in children. Advancements in clinical decision-support in pediatric neuro-oncology utilizing the wealth of radiology imaging data collected through standard care, however, has significantly lagged other domains. Such data is ripe for use with predictive analytics such as artificial intelligence (AI) methods, which require large datasets. To address this unmet need, we provide a multi-institutional, large-scale pediatric dataset of 23,101 multi-parametric MRI exams acquired through routine care for 1,526 brain tumor patients, as part of the Children's Brain Tumor Network. This includes longitudinal MRIs across various cancer diagnoses, with associated patient-level clinical information, digital pathology sli

SUBMITTER: Familiar AM 

PROVIDER: S-EPMC10723526 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature