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Mouse-Mammary | Mouse-Mammary
DOI: 10.7937/K9/TCIA.2015.9P42KSE6 | Data Citation Required | Image Collection
Location | Species | Subjects | Data Types | Cancer Types | Size | Status | Updated |
---|---|---|---|---|---|---|---|
Abdomen | Mouse | 32 | MR | Breast Cancer | Public, Complete | 2015/03/18 |
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 Models
A 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 scientific or other inquiries about this dataset, please contact TCIA's Helpdesk.
Data Access
Version 1: Updated 2015/03/18
Title | Data Type | Format | Access Points | Subjects | License | |||
---|---|---|---|---|---|---|---|---|
Images | MR | DICOM | Download requires NBIA Data Retriever |
32 | 149 | 205 | 23,487 | 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, S., Ileva, L., Lu, L., & Van Dyke, T. (2015). TCIA Mouse-Mammary Collection (Mouse-Mammary) [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/K9/TCIA.2015.9P42KSE6 |
Detailed Description
A presentation about a related Mouse GBM 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 TCIA data. If you have a manuscript you’d like to add please contact TCIA’s Helpdesk.