- Created by Ken Clark, last modified by Brittney Camp on Nov 03, 2022
Summary
This collection consists of magnetic resonance images (MRI) of genetically engineered mouse models (GEMMs) of breast cancer. These images were acquired as part of a Department of Defense (DOD) Breast Cancer Research Program (BCRP) Postdoctoral Award W81XWH-12-1-0307 entitled “Investigating Ductal Carcinoma in Situ Using Noninvasive Imaging of Genetically Engineered Mouse ModelsA particular emphasis of this project was to study the earliest stages of breast cancer—preinvasive ductal carcinoma in situ (DCIS)—and to interrogate the underlying genetic events that influence progression into invasive disease. In particular, we focused on the role of perturbed Rb, p53 and BRCA1 functionality and how these pathways, acting alone and in combination, can influence the development and progression of DCIS. GEMMs serve as an excellent model system wherein genetic changes can be controlled and manipulated over time. In vivo MRI is a superb technique for noninvasively tracking and characterizing these microscopic early stage cancers as they develop, change and transition into lethal invasive disease.
For more information, please contact Dr. Sunny Jansen (jansensa0@gmail.com).
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 |
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Images (DICOM, 8.6GB) | (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 | |
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Modalities | MR |
Number of Patients | 32 |
Number of Studies | 149 |
Number of Series | 205 |
Number of Images | 23,487 |
Images Size (GB) | 8.6 |
A presentation about a related Mouse GBM 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, Ileva, Lilia, Lu, Lucy, & Van Dyke, Terry. (2015). TCIA Mouse-Mammary Collection. The Cancer Imaging Archive. https://doi.org/10.7937/K9/TCIA.2015.9P42KSE6
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, Journal of Digital Imaging, Volume 26, Number 6, pp 1045-1057. DOI: https://doi.org/10.1007/s10278-013-9622-7
Other Publications Using This Data
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Version 1 (Current): Updated 2015/03/18
Data Type | Download all or Query/Filter |
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Images (8.6GB) |
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