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

Autor:	Familiar AM; Center for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.; Department of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA, USA., Kazerooni AF; Center for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.; Department of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA, USA.; Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Anderson H; Center for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Lubneuski A; Center for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.; Department of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA, USA., Viswanathan K; Center for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.; Department of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA, USA., Breslow R; Center for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.; Department of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA, USA., Khalili N; Center for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.; Department of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA, USA., Bagheri S; Center for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Haldar D; Center for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.; Department of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA, USA., Kim MC; Center for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.; Department of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA, USA., Arif S; Center for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.; Department of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA, USA., Madhogarhia R; Center for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.; Department of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA, USA., Nguyen TQ; Center for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.; Department of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA, USA., Frenkel EA; Center for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.; Department of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA, USA., Helili Z; Center for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.; Department of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA, USA., Harrison J; Center for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.; Department of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA, USA., Farahani K; National Cancer Institute, Bethesda, MD, USA., Linguraru MG; Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington, DC, USA.; Departments of Radiology and Pediatrics, George Washington University School of Medicine and Health Sciences, Washington, DC, USA., Bagci U; Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA., Velichko Y; Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA., Stevens J; Department of Hematology and Oncology, Seattle Children's, Seattle, WA, USA., Leary S; Department of Hematology and Oncology, Seattle Children's, Seattle, WA, USA., Lober RM; Division of Neurosurgery, Dayton Children's Hospital, Dayton, OH, USA., Campion S; Department of Pediatric Hematology & Oncology, Orlando Health Arnold Palmer Hospital for Children, Orlando, FL, USA., Smith AA; Department of Pediatric Hematology & Oncology, Orlando Health Arnold Palmer Hospital for Children, Orlando, FL, USA., Morinigo D; Department of Hematology-Oncology, Children's National Hospital, Washington, DC, USA., Rood B; Department of Hematology-Oncology, Children's National Hospital, Washington, DC, USA., Diamond K; Department of Pediatric Neurosurgery, UPMC Children's Hospital of Pittsburgh, Pittsburgh, PA, USA., Pollack IF; Department of Pediatric Neurosurgery, UPMC Children's Hospital of Pittsburgh, Pittsburgh, PA, USA., Williams M; Division of Hematology, Oncology, NeuroOncology, and Transplant, Ann & Robert H Lurie Children's Hospital of Chicago, Chicago, IL, USA., Vossough A; Center for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.; Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, USA., Ware JB; Center for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Mueller S; Department of Neurology, Division of Child Neurology, University of San Francisco, San Francisco, CA, USA., Storm PB; Center for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.; Department of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA, USA., Heath AP; Center for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.; Department of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA, USA., Waanders AJ; Division of Hematology, Oncology, NeuroOncology, and Transplant, Ann & Robert H Lurie Children's Hospital of Chicago, Chicago, IL, USA.; Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA., Lilly J; Center for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.; Department of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA, USA., Mason JL; Center for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.; Department of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA, USA., Resnick AC; Center for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.; Department of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA, USA., Nabavizadeh A; Center for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Jazyk:	angličtina
Zdroj:	ArXiv [ArXiv] 2023 Oct 02. Date of Electronic Publication: 2023 Oct 02.
Abstrakt:	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. Competing Interests: Competing interests The authors have no conflicts of interest to declare.
Databáze:	MEDLINE
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