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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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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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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

Tcia head license access

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

(Download requires NBIA Data Retriever)

Tcia restricted license

Clinical, Genomic, and Radiologist Assessments (XLS)

Tcia cc by 3


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

Collections Used in this Third Party Analysis
Below is a list of the Collections used in these analyses:




Localtab
titleDetailed Description

Detailed Description

For more information about the authors' perfusion analysis and the full TCGA-GBM data sets please see the following links:

  • DSC T2* MR Perfusion Analysis
  • TCGA-GBM




    Localtab
    titleCitations & Data Usage Policy

    Citations & Data Usage Policy 

    publictcia-collectionhead-license-access

    Info
    titleDataset 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. https://doi.org/10.7937/K9/TCIA.2014.FAB7YRPZ


    Info
    TCIA Citation
    title

    Clark, K., Vendt, B., Smith, K., Freymann, J., Kirby, J., Koppel, P., Moore, S., Phillips, S., Maffitt, D., Pringle, M., Tarbox, L., & Prior, F. (2013). The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository. Journal of Digital Imaging, 26(6), 1045–1057. https://doi.org/10.1007/s10278-013-9622-7

    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
    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. (2013). The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository. Journal of Digital Imaging, 26(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 you have a manuscript you'd like to add please contact the TCIA 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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