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Summary

This collection consists of magnetic resonance images (MRI) of genetically engineered mouse models (GEMMs) of high grade astrocytoma, including glioblastoma multiforme (GBM).

In these GEMMs, the most commonly disregulated networks in GBM -- RB, KRAS and/or PI3K signaling -- are perturbed at the genetic level.  These genetic aberrations induce development of high grade astrocytoma in the mouse with properties similar to that of human disease.  MRI was used to perform a qualitative and quantitative phenotypic characterization of the different genotypes and molecular subtypes.  Additionally, mouse MRI images were compared human GBM imaging parameters using the VASARI lexicon.  The MRI data contained herein includes anatomic T2 weighted images and dynamic contrast enhanced MRI.

For more information, please contact Dr. Sunny Jansen (jansensa0@gmail.com) or Dr. Nailing Zhang (nailing9970@gmail.com)the TCIA Helpdesk.

Acknowledgements

  We would like to acknowledge the individuals and institutions that have provided data for this collection:

  •   National Cancer Institute (Frederick, Maryland) - Special thanks to Sunny Jansen, PhD  from the Department of  Mouse Cancer Genetics Program.


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 . Click the Search button to open our Data Portal, where you can browse the data collection and/or download a subset of its contents.


Data TypeDownload all or Query/Filter
Images (DICOM, 2.0 GB)

  Mouse-Astrocytoma


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Localtab
titleDetailed Description

Detailed Description


Collection Statistics 


Modalities

MR

Number of Participants

48

Number of Studies

48

Number of Series

286

Number of Images

37110

Images Size (GB)2.0 GB

 



A presentation about this data set can be found at:  Sunny_jansen_NBIA_mouseGBM_update_ICR_508.ppt .




Localtab
titleCitations & Data Usage Policy

Citations & Data Usage Policy 

Public collection license

Info
titleData Citation

Jansen, Sunny, & Van Dyke, Terry. (2015). TCIA Mouse-Astrocytoma Collection. The Cancer Imaging Archive. https://doi.org/10.7937/K9TCIA.2017.SGW7CAQW




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)


Other Publications Using This Data

See the Publications page for papers about this data set. If you have a publication you'd like to add, please contact the TCIA Helpdesk.




Localtab
titleVersions

Version 1 (Current): Updated 2017/03/21


Data TypeDownload all or Query/Filter
Images ( 2.0 GB)

 

(Requires the NBIA Data Retriever .)