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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 | 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 | 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.
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.
Related Publications
Publications by the Dataset Authors
The authors recommended this paper as the best source of additional information about this dataset:
No publications by dataset authors were found.
Research Community Publications
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.