Versions Compared

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.

...

The following supporting documentation is available for download. This information was updated on 2012-02-27 and includes information relevant to the 55 processed cases in the archive. More data is expected in the future. 

  • Spreadsheet– contains scaling factors, rCBV values, and scanner info.
  • Text files– contain text dumps of DICOM elements for nordicICE perfusion image studies.

Shared Lists

The following 2 shared lists links provide an easy way to download only the raw and post-processed image subsets of the TCGA-GBM collection described in the project summary.

...

Acknowledgements

TCIA would like to thank Dr. Rajan Jain and Dr. Jayant Narang for processing and uploading the studies generated with nordicICE, as well as providing the associated spreadsheet and text files.

...

  1. Boxerman JL, Schmainda KM, Weisskoff RM. Relative cerebral blood volume maps corrected for contrast agent extravasation significantly correlate with glioma tumor grade, whereas uncorrected maps do not. AJNR Am J Neuroradiol 2006;27(4):859–867.
  2. Aronen HJ, Gazit IE, Louis DN, et al. Cerebral blood volume maps of gliomas: comparison with tumor grade and histologic findings. Radiology 1994;191(1):41–51.
  3. Lev MH, Ozsunar Y, Henson JW, et al. Glial tumor grading and outcome prediction using dynamic spin-echo MR susceptibility mapping compared with conventional contrast-enhanced MR: confounding effect of elevated rCBV of oligodendrogliomas corrected. AJNR Am J Neuroradiol 2004;25(2):214–221.
  4. Law M, Oh S, Babb JS, et al. Low-grade gliomas: dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging--prediction of patient clinical response. Radiology 2006;238(2):658–667.
  5. Law M, Young RJ, Babb JS, et al. Gliomas: predicting time to progression or survival with cerebral blood volume measurements at dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging. Radiology 2008;247(2):490–498.
  6. Bisdas S, Kirkpatrick M, Giglio P, Welsh C, Spampinato MV, Rumboldt Z. Cerebral blood volume measurements by perfusion-weighted MR imaging in gliomas: ready for prime time in predicting short-term outcome and recurrent disease? AJNR Am J Neuroradiol 2009;30(4):681–688.
  7. Mills SJ, Patankar TA, Haroon HA, Baleriaux D, Swindell R, Jackson A. Do cerebral blood volume and contrast transfer coefficient predict prognosis in human glioma? AJNR Am J Neuroradiol 2006;27(4):853–858.

...