RADIANT: Multi-Modal Pediatric Brain Tumor Data from CBTN

The RADIANT Public Data is a multi-modal dataset provisioned by the Real-time Analysis and Discovery in Integrated And Networked Technologies initiative. It contains an initial bolus of clinical, omics, and imaging data from the Children’s Brain Tumor Network, collected as part of IRB-approved studies. The data is made available globally for research by The Center for Data-Driven Discovery in Biomedicine at the Children's Hospital of Philadelphia.

Use Cases

• Correlate genomic markers with clinical outcomes based on the described omics and clinical data.
• Develop multi-modal diagnostic or prognostic models based on the integration of imaging, genomic, and clinical data.
• Train image analysis algorithms for radiology and pathology slides mentioned in the description.
• Conduct observational studies on pediatric brain tumors based on the consent-based, IRB-approved data collection.

Strengths

• Data originates from a network of more than 35 partnered healthcare systems.
• Includes multiple data modalities: clinical records, genomics, transcriptomics, proteomics, and imaging.
• Data collection follows consent-based, IRB-approved protocols for observational and interventional studies.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and dataset size are unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

The Center for Data-Driven Discovery in Biomedicine (D3b) at the Children's Hospital of Philadelphia

Collection Method

Extracted/abstracted from electronic medical records and generated from omics and imaging studies within the Children’s Brain Tumor Network (CBTN) and Pediatric Neuro-Oncology Consortium (PNOC).

Time Range

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Freshness

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Geography

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