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Note: This collection has been migrated to The Cancer Imaging Archive (TCIA) with improved quality control standards and an expanded patient population. For more information about this collection please visit the TCIA wiki's TCGA-GBM Collection page.

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Summary

The Cancer Imaging Program (CIP) with the cooperation of several of the TCGA GBM tissue-contributing institutions has archived a large portion of the diagnostic MRIs radiological images of the genetically-analyzed cases. That Clinical, genetic, and pathological data resides in the TCGA data portal. These images, using their TCGA identifier tags allow researchers to explore the genomic, clinical, and pathological data being stored within the TCGA Data Portal. These data sets therefore permit a link between radiological phenotype and tissue genotype. Although the present image archive has, for the moment, only acquired GBM images, over time, images from new TCGA-studied tumor types will be acquired and made available on the public NBIA archive.

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 enables TCGA images stored in NBIA 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).

At present, the caBIG Imaging Workspace completed Phase I of this Enterprise Use-Case. ClearCanvas (Windows OS), Osirix (Mac) and XIP (caBIG open source/cross platform) were customized to allow retrieval of images from NBIA over the caGrid, markup by AIM standards, and storage back to an AIM-E Grid data service. More information can be found on the TCGA Radiology Project Phase I Homepage while the radiological data is stored within TCIA. The data utilizes the same TCGA patient identifiers in both repositories, allowing researchers to explore the correlations between tissue genotype and radiological phenotype.

Data Access

Collection Statistics

 

Modalities

MR

Number of Patients

99 98

Number of Studies

120 121

Number of Series

1161 1,118

Number of Images

215,659

You can view and download these images on NBIA. You do not need to log in unless you want access to advanced features in the site. Simply follow these steps:

  • Navigate to http://imaging.nci.nih.gov
  • Click the "Search Images" link in the center of the page
  • Scroll down through the search criteria until you see the "Collections" section
  • Select the "TCGA" check box
  • Press "Submit"

This will return the full list of cases included in the collection. To download the associated DICOM images:

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129,053