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Summary

Redirect
delay5
locationhttps://www.cancerimagingarchive.net/collection/gbm-dsc-mri-dro/
The standardization of dynamic susceptibility contrast (DSC)-magnetic resonance imaging (MRI) has been confounded by a lack of consensus on DSC-MRI methodology for preventing potential relative cerebral blood volume (CBV) inaccuracies, including the choice of acquisition protocols and postprocessing algorithms. Therefore, a digital reference object (DRO) was developed using physiological and kinetic parameters derived from a patient database, unique voxel-wise 3-dimensional tissue structures, and a validated MRI signal computational approach. The primary, intended use of the DRO is to validate image acquisition and analysis methods for accurately measuring relative cerebral blood volume in glioblastomas [1,2]. The DRO datasets have also been used as part of the QIN-challenge titled “DSC-DRO Challenge” to evaluate multisite rCBV consistency [3], and for systematic assessment of multi-echo DSC-MRI [4].

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Localtab Group


Localtab
activetrue
titleData Access

Data Access


Data TypeDownload all or Query/FilterLicense
Images (DICOM, 4.5 GB)


Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/59310755/GBM-DSC-MRI-DRO_full.tcia?api=v2



Tcia button generator
labelSearch
urlhttps://nbia.cancerimagingarchive.net/nbia-search/?MinNumberOfStudiesCriteria=1&CollectionCriteria=GBM-DSC-MRI-DRO


Download requires the NBIA Data Retriever.

CC BY 4.0

Data description (PDF, 2.03 MB)


Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/59310755/GBM_DRO_info_guide.pdf?api=v2



CC BY 4.0


Click the Versions tab for more info about data releases.

Nci_crdc additional resources


Localtab
titleDetailed Description

Detailed Description


Radiology Image Statistics

Modalities

MR

Number of Participants

3

Number of Studies

31

Number of Series

364

Number of Images

47,164

Images Size (GB)4.5 (GB)


The field of view contains four regions of interest (ROI) per image. The settings for

  • Static field strength,
  • TR,
  • TE,
  • Flip angle,
  • and contrast dose

are included in the series description of each synthetic timecourse, as in Table 1 of the publication .

Note, do not sort by filename (chart at left), sort by Acquisition Number (chart at right). It should trace like the image on the right. Osirix, IBNeuro, ImageJ do this natively. If you are using Matlab or python please use DICOM header AcquisitionNumber (0020,0012) to reorder the files; using the file names could lead to a wrong signal profile.



Localtab
titleCitations & Data Usage Policy

Citations & Data Usage Policy

Tcia limited license policy


Info
titleData Citation

Semmineh, N. B., Stokes, A. M., Bell, L. C., Boxerman, J. L., & Quarles, C. C. (2020). GBM-DSC-MRI-DRO [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/TCIA.2020.RMWVZWIX


Info
titlePublication Citation

Semmineh, N. B., Stokes, A. M., Bell, L. C., Boxerman, J. L., & Quarles, C. C. (2017). A Population-Based Digital Reference Object (DRO) for Optimizing Dynamic Susceptibility Contrast (DSC)-MRI Methods for Clinical Trials. In Tomography (Vol. 3, Issue 1, pp. 41–49). MDPI AG. https://doi.org/10.18383/j.tom.2016.00286


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. In Journal of Digital Imaging (Vol. 26, Issue 6, pp. 1045–1057).  https://doi.org/10.1007/s10278-013-9622-7

Other Publications Using This Data

The following publications are recommended by the data submitters that may be useful to researchers utilizing this collection:

  • Semmineh, N. B., Bell, L. C., Stokes, A. M., Hu, L. S., Boxerman, J. L., & Quarles, C. C. (2018). Optimization of Acquisition and Analysis Methods for Clinical Dynamic Susceptibility Contrast MRI Using a Population-Based Digital Reference Object. In American Journal of Neuroradiology (Vol. 39, Issue 11, pp. 1981–1988). American Society of Neuroradiology (ASNR). https://doi.org/10.3174/ajnr.a5827
  • Bell, L. C., Semmineh, N., An, H., Eldeniz, C., Wahl, R., Schmainda, K. M., Prah, M. A., Erickson, B. J., Korfiatis, P., Wu, C., Sorace, A. G., Yankeelov, T. E., Rutledge, N., Chenevert, T. L., Malyarenko, D., Liu, Y., Brenner, A., Hu, L. S., Zhou, Y., … Quarles, C. C. (2019). Evaluating Multisite rCBV Consistency from DSC-MRI Imaging Protocols and Postprocessing Software Across the NCI Quantitative Imaging Network Sites Using a Digital Reference Object (DRO). In Tomography (Vol. 5, Issue 1, pp. 110–117). MDPI AG. https://doi.org/10.18383/j.tom.2018.00041
  • Stokes, A. M., Semmineh, N. B., Nespodzany, A., Bell, L. C., & Quarles, C. C. (2019). Systematic assessment of multi‐echo dynamic susceptibility contrast MRI using a digital reference object. In Magnetic Resonance in Medicine (Vol. 83, Issue 1, pp. 109–123). Wiley. https://doi.org/10.1002/mrm.27914

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



Localtab
titleVersions

Version 1 (Current): Updated 2022/07/21


Data TypeDownload all or Query/FilterLicense
Images (DICOM, 4.5 GB)


Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/displayattachments/Public59310755/GBM-DSC-MRI-DRO?preview=%2F59310755%2F64685340%2FGBM-DSC-MRI-DRO_full.tcia?api=v2



Tcia button generator
labelSearch
urlhttps://nbia.cancerimagingarchive.net/nbia-search/?MinNumberOfStudiesCriteria=1&CollectionCriteria=GBM-DSC-MRI-DRO


Download requires the NBIA Data Retriever.

CC BY 4.0

Data description (PDF)


Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/displayattachments/Public59310755/GBM-DSC-MRI-DRO?preview=%2F59310755%2F68551112%2FGBM_DRO_info_guide.pdf?api=v2



CC BY 4.0

Added new subjects.




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