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  • Outcome Prediction in Patients with Glioblastoma by Using Imaging, Clinical, and Genomic Biomarkers: Focus on the Nonenhancing Component of the Tumor (GBM-MR-NER-Outcomes)

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Description

This manuscript correlates patient survival with morphologic imaging features and hemodynamic parameters obtained from the nonenhancing region (NER) of glioblastoma (GBM), along with clinical and genomic markers. Forty-five patients with GBM underwent baseline imaging with contrast material-enhanced magnetic resonance (MR) imaging and dynamic susceptibility contrast-enhanced T2*-weighted perfusion MR imaging.  See DSC T2* MR Perfusion Analysis for more information about the authors' perfusion analysis.  Molecular and clinical predictors of survival were obtained. Single and multivariable models of overall survival (OS) and progression-free survival (PFS) were explored with Kaplan-Meier estimates, Cox regression, and random survival forests.

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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

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 XLS)Image Removed
Data TypeDownload all or Query/FilterLicense
Combined Images & Maps (DICOM, 45 subjects, 68864 files, 6.85 GB)
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urlhttps://wiki.cancerimagingarchive.net/download/attachments/18514300/doiJNLP-9oAHvxwQ-fixed.tcia?api=v2


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Feature maps (DICOM, 45 subjects, 42.30 MB)
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Image Data (DICOM)

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Clinical, Genomic, and Radiologist Assessments (XLSX, 33 kb)
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urlhttps://wiki.cancerimagingarchive.net/download/attachments/18514300/JainPoisson_2014_Radiology_Dataset.xlsx?api=v2



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Collections Used in this Third Party Analysis

Below is a list of the Collections used in these analyses:

Source Data TypeDownload all or Query/FilterLicense
Original Data from TCGA-GBM (DICOM, 45 subjects, 46 studies, 488 series, 67730 images, 6.81 GB )
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urlhttps://wiki.cancerimagingarchive.net/download/attachments/18514300/manifest-tcga-gbm-gbm-ner-outcomes.tcia?api=v2



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Localtab
titleDetailed Description

Detailed Description


Radiology Imaging Statistics
ModalitiesMR
Number of Participants45

Number of Studies

45

Number of Series

135

Number of Images

1134

Images Size

42.30 MB

Please see DSC T2* MR Perfusion Analysis for For more information about the authors' perfusion analysis and the full TCGA-GBM data sets please see the following links:

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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:

Tcia head license access

Info
titleDataset Data Citation

Jain R, Poisson LM, Gutman D, Scarpace L, Hwang SN, Holder CA, Wintermark M, Rao A, Colen RR, Kirby J, Freymann J, Jaffe CC, Mikkelsen T, and Flanders A. (2014). Outcome Prediction in Patients with Glioblastoma by Using Imaging, Clinical, and Genomic Biomarkers: Focus on the Nonenhancing Component of the Tumor. The Cancer Imaging Archive. http https://doi.org/10.7937/K9/TCIA.2014.FAB7YRPZ


Info
titlePublication Citation
Jain, R., Poisson, L. M., Gutman, D., Scarpace, L., Hwang, S. N., Holder, C. A., Wintermark, M., Rao, A., Colen, R. R., Kirby, J., Freymann, J., Jaffe, C. C., Mikkelsen, T., & Flanders, A. (2014). Outcome Prediction in Patients with Glioblastoma by Using Imaging, Clinical, and Genomic Biomarkers: Focus on the Nonenhancing Component of the Tumor. Radiology, 272(2), 484–493. https://doi.org/10.1148/radiol.14131691


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 . (2013). 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
Radiology. 2014 Mar 19:131691. [Epub ahead of print] Outcome Prediction in Patients with Glioblastoma by Using Imaging, Clinical, and Genomic Biomarkers: Focus on the Nonenhancing Component of the Tumor. PMID:24646147

(6), 1045–1057. https://doi.org/10.1007/s10278-013-9622-7

Other Publications Using This Data

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


Localtab
titleVersions

Version 1 (Current): 2014/07/24


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

Supplemental Data (XLS)





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