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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 8.58GB Public, Complete 2015/03/18


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 Studies Series Images License
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.

  • 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, S., Ileva, L., Lu, L., & Van Dyke, T. (2015). TCIA Mouse-Mammary Collection (Mouse-Mammary) [Data set]. The Cancer Imaging Archive.

    Detailed Description

    A presentation about a related Mouse GBM data set can be found at: Sunny_jansen_NBIA_mouseGBM_update_ICR_508.ppt.


     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 TCIA 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.