Thursday evening the 17th at 7 pm there will be a 5 minute disruption in TCIA as the primary firewalls are updated to the latest in-version software. On Thursday the 24th, there be another 5-10 minute disruption as the primary firewalls are moved to new hardware.

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The TCGA-GBM data collection is part of a larger effort to enhance the The Cancer Genome Atlas (TCGA) data set with characterized radiological images.  The Cancer Imaging Program (CIP) with the cooperation of several of the TCGA tissue-contributing institutions has archived a large portion of the radiological images of the genetically-analyzed GBM cases.

Clinical, genetic, and pathological data resides in the TCGA data portal while the radiological data is stored on the Cancer Imaging Archive.   The data utilizes the same TCGA patient identifiers in both repositories, allowing researchers to explore the correlations between tissue genotype and radiological phenotype. This Collection within the Cancer Imaging Archive is related to the GBM disease type within TCGA.

Data Access

Collection Statistics




Number of Patients


Number of Studies

Number of Series


Number of Images



Informatics software for use with this data has also been developed as part of the caBIG TCGA Enterprise Use-Case project. This caBIG enterprise use-case enabled TCGA images stored in NBIA (the same software powering the Cancer Imaging Archive) to be displayed on three different free and/or open source DICOM viewer workstations that possess annotation and markup capabilities based on Annotation Imaging Markup (AIM).  These workstations were customized to allow retrieval of images from NBIA over the caGrid (from the NCI CBIIT deployed NBIA server only), markup by AIM standards, and storage back to an AIM-E Grid data service. Some of these tools have been leveraged as part of the CIP TCGA Radiology Initiative|display/Public/CIP+TCGA+Radiology+Initiative|\ where possible.