Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features
University of Pennsylvania · Leidos (United States) · +2 more institutions
Abstract
Gliomas belong to a group of central nervous system tumors, and consist of various sub-regions. Gold standard labeling of these sub-regions in radiographic imaging is essential for both clinical and computational studies, including radiomic and radiogenomic analyses. Towards this end, we release segmentation labels and radiomic features for all pre-operative multimodal magnetic resonance imaging (MRI) (n=243) of the multi-institutional glioma collections of The Cancer Genome Atlas (TCGA), publicly available in The Cancer Imaging Archive (TCIA). Pre-operative scans were identified in both glioblastoma (TCGA-GBM, n=135) and low-grade-glioma (TCGA-LGG, n=108) collections via radiological assessment. The glioma…
Citation impact
- FWCI
- 142.96
- Percentile
- 100%
- References
- 99
Authors
9Topics & keywords
- Glioma
- Segmentation
- Neuroradiologist
- Glioblastoma
- Magnetic resonance imaging
- Computer science
- Cancer imaging
- Medical physics