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  • Glioblastoma multiforme: exploratory radiogenomic analysis by using quantitative image features (TCGA-GBM-QI-Radiogenomics)

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titleData Citation

Gevaert O, Mitchell LA, Achrol AS, Xu J, Echegaray S, Steinberg GK, Cheshier SH, Napel S, Zaharchuk G, Plevritis SK. (2014). Glioblastoma multiforme: exploratory radiogenomic analysis by using quantitative image features. The Cancer Imaging Archive. http://doi.org/10.7937/K9/TCIA.2014.RJEFTJBU

Description

PURPOSE:

To derive quantitative image features from magnetic resonance (MR) images that characterize the radiographic phenotype of glioblastoma multiforme (GBM) lesions and to create radiogenomic maps associating these features with various molecular data.

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Radiogenomic approaches in GBM have the potential to predict clinical and molecular characteristics of tumors noninvasively.


Localtab Group


Localtab
activetrue
titleData Access

Data Access

Click the Download button to save a ".tcia" manifest file to your computer, which you must open with the NBIA Data Retriever

Data TypeDownload all or Query/Filter
Image Data (DICOM)
Segmentations (ZIP)

Please contact help@cancerimagingarchive.net  with any questions regarding usage.


Localtab
titleDetailed Description

Detailed Description

Image Segmentation summary spreadsheet: tcga-gbm segmentation summary.xls


Localtab
titleCitations & Data Usage Policy

Citations & Data Usage Policy 

These collections are freely available to browse, download, and use for commercial, scientific and educational purposes as outlined in the Creative Commons Attribution 3.0 Unported License. Questions may be directed to help@cancerimagingarchive.net. Please be sure to acknowledge both this data set and TCIA in publications by including the following citations in your work:

Info
titleData Citation

Gevaert O, Mitchell LA, Achrol AS, Xu J, Echegaray S, Steinberg GK, Cheshier SH, Napel S, Zaharchuk G, Plevritis SK. (2014). Glioblastoma multiforme: exploratory radiogenomic analysis by using quantitative image features. The Cancer Imaging Archive. http://doi.org/10.7937/K9/TCIA.2014.RJEFTJBU


Info
titleTCIA Citation

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)

In addition to the dataset citation above, please be sure to cite the following if you utilize these data in your research:

Info
titlePublication Citation

Gevaert, O., Mitchell, L. A., Achrol, A. S., Xu, J., Echegaray, S., Steinberg, G. K., … Plevritis, S. K. (2014, October). Glioblastoma Multiforme: Exploratory Radiogenomic Analysis by Using Quantitative Image Features. Radiology. Radiological Society of North America (RSNA). http://doi.org/10.1148/radiol.14131731

Other Publications Using This Data

TCIA maintains a list of publications that leverage TCIA data. If you have a manuscript you'd like to add please contact the TCIA Helpdesk.


Localtab
titleVersions

Version 1 (Current): 2016/08/05

Data TypeDownload all or Query/Filter
Image Data

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(DICOM)

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Segmentations (ZIP)

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