SummaryThis image collection was created as a companion data set to augment the larger REMBRANDT project. It consists of 130 cases of magnectic resonance (MR) multi-sequence images of pre-surgical brain tumor patients; including cases of glioblastoma, astrocytomas, and oligodendrogliomas from the REMBRANDT patient population.
For scientific inquiries about the VASARI feature set or corresponding analysis, please contact Adam Flanders at firstname.lastname@example.org.
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|Data Type||Download all or Query/Filter|
|Images (DICOM, 9.9GB)|
|Clinical Data (XLS)|
|VASARI_MRI_features (gmdi-wiki) (XLS)|
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Number of Patients
Number of Studies
Number of Series
Number of Images
|Image Size (GB)||9.9|
The patients in TCIA can be matched by subject identifier with the extensive clinical, gene, and expression data of the same case available from the REMBRANDT Data Portalto research the link between radiological phenotype and tissue genotype. In addition, there are imaging feature characterizations provided by neuroradiologists from Thomas Jefferson University (TJU) Hospital. This feature set has become known as "VASARI" and became the starting point for the The Cancer Genome Archive (TCGA) Glioma Phenotype Research Group efforts, which is utilizing data from the TCGA-GBM and TCGA-LGG collections.
- Clinical data set- Exported from the publicly accessible section of the REMBRANDT Data Portal on 1/16/2014 for convenience to TCIA users.
- VASARI_MR_featurekey4.pdf- This document is a "key" for understanding and interpreting the annotation spreadsheet.
- VASARI_MRI_features (gmdi-wiki).xls- This document is the actual annotations spreadsheet generated at TJU.
Citations & Data Usage Policy
This collection is freely available to browse, download, and use for commercial, scientific and educational purposes as outlined in the Creative Commons Attribution 3.0 Unported License. See TCIA's Data Usage Policies and Restrictions for additional details. Questions may be directed to email@example.com.
Please be sure to include the following citations in your work if you use this data set:
The Cancer Imaging Archive Team. Data From QIN-Breast. DOI is MISSING
Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. (paper)
Other Publications Using This Data
TCIA maintains a list of publications which leverage our data. At this time we are not aware of any publications based on this data. If you have a publication you'd like to add please contact the TCIA Helpdesk.