A multi-institutional pediatric dataset of clinical radiology MRIs by the Children's Brain Tumor Network
Abstrak
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 slides, as well as tissue genotype and omics data. To facilitate downstream analysis, treatment-naïve images for 370 subjects were processed and released through the NCI Childhood Cancer Data Initiative via the Cancer Data Service. Through ongoing efforts to continuously build these imaging repositories, our aim is to accelerate discovery and translational AI models with real-world data, to ultimately empower precision medicine for children.
Penulis (40)
Ariana M. Familiar
Anahita Fathi Kazerooni
Hannah Anderson
Aliaksandr Lubneuski
Karthik Viswanathan
Rocky Breslow
Nastaran Khalili
Sina Bagheri
Debanjan Haldar
Meen Chul Kim
Sherjeel Arif
Rachel Madhogarhia
Thinh Q. Nguyen
Elizabeth A. Frenkel
Zeinab Helili
Jessica Harrison
Keyvan Farahani
Marius George Linguraru
Ulas Bagci
Yury Velichko
Jeffrey Stevens
Sarah Leary
Robert M. Lober
Stephani Campion
Amy A. Smith
Denise Morinigo
Brian Rood
Kimberly Diamond
Ian F. Pollack
Melissa Williams
Arastoo Vossough
Jeffrey B. Ware
Sabine Mueller
Phillip B. Storm
Allison P. Heath
Angela J. Waanders
Jena V. Lilly
Jennifer L. Mason
Adam C. Resnick
Ali Nabavizadeh
Akses Cepat
- Tahun Terbit
- 2023
- Bahasa
- en
- Sumber Database
- arXiv
- Akses
- Open Access ✓