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MOUSE-ASTROCYTOMA

Mouse-Astrocytoma | Mouse-Astrocytoma

DOI: 10.7937/K9TCIA.2017.SGW7CAQW | Data Citation Required | Image Collection

Location Species Subjects Data Types Cancer Types Size Status Updated
Head Mouse 48 MR Glioblastoma Multiforme 2.2GB Public, Complete 2017/03/21

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 scientific or other inquiries about this dataset, please contact TCIA's Helpdesk.

Data Access

Version 1: Updated 2017/03/21

Title Data Type Format Access Points Subjects Studies Series Images License
Images MR DICOM
Download requires NBIA Data Retriever
 48 48 286 37,110 CC BY 3.0

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)

    • Citations & Data Usage Policy

    Data Citation Required: Users must abide by the TCIA Data Usage Policy and Restrictions. Attribution must include the following citation, including the Digital Object Identifier:

    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

    Detailed Description

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

    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.

    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.

    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