Summary
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.
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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.
Data Access
| Data Type | Download all or Query/Filter | License |
|---|---|---|
| Images (DICOM, 2.0 GB) | (Download requires the NBIA Data Retriever) |
Click the Versions tab for more info about data releases.
Additional Resources for this Dataset
The NCI Cancer Research Data Commons (CRDC) provides access to additional data and a cloud-based data science infrastructure that connects data sets with analytics tools to allow users to share, integrate, analyze, and visualize cancer research data.
- Imaging Data Commons (IDC) (Imaging Data)
Detailed Description
Collection Statistics | |
|---|---|
Modalities | MR |
Number of Participants | 48 |
Number of Studies | 48 |
Number of Series | 286 |
Number of Images | 37,110 |
| Images Size (GB) | 2.0 GB |
A presentation about this data set can be found at: Sunny_jansen_NBIA_mouseGBM_update_ICR_508.ppt .
Citations & Data Usage Policy
Users must abide by the TCIA Data Usage Policy and Restrictions. Attribution should include references to the following citations:
Data Citation
Jansen, Sunny, & Van Dyke, Terry. (2015). TCIA Mouse-Astrocytoma Collection (Mouse-Astrocytoma) [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/K9TCIA.2017.SGW7CAQW
TCIA 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). Springer Science and Business Media LLC. https://doi.org/10.1007/s10278-013-9622-7 PMCID: PMC3824915
Other Publications Using This Data
TCIA maintains a list of publications which leverage our data. If you have a manuscript you'd like to add, please contact TCIA's Helpdesk.
Version 1 (Current): Updated 2017/03/21
| Data Type | Download all or Query/Filter |
|---|---|
| Images ( 2.0 GB) |