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Summary

Excerpt

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 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.

 

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Localtab Group
Localtab
activetrue
titleData Access

Data Access

Choosing the Download option will provide you with a file to launch the TCIA Download Manager to download the entire collection. If you want to browse or filter the data to select only specific scans/studies please use the Search By Collection option.

Data TypeDownload all or Query/Filter
Images (8.6GB)Image Added Image Added
Mouse GBM Update (PPT)Image Added

Click the Versions tab for more info about data releases.

Localtab
titleDetailed Description

Detailed Description

Collection Statistics

Updated 03/18/2015

Modalities

MR

Number of Patients

32

Number of Studies

149

Number of Series

205

Number of Images

23,487

Images Size (GB)8.6

 

Related Data

Mouse GBM:  A Pilot Collection: Sunny_jansen_NBIA_mouseGBM_update_ICR_508.ppt .

Localtab
title

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Citations & Data Usage Policy

Citations & Data Usage Policy 

This collection is freely available to browse, download, and use for commercial, scientific and educational purposes as outlined in the Creative Commons Attribution 3.0 Unported License.  See TCIA's Data Usage Policies and Restrictions for additional details. Questions may be directed to help@cancerimagingarchive.net.

Please be sure to include the following citations in your work if you use this data set:

Info
titleMouse-Mammary Citation

The Cancer Imaging Archive Team. Data From Mouse-Mammary. doi:10.7937/K9/TCIA.2015.QWZMGFZJ

Info
titleTCIA 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. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. (paper)

Other Publications Using This Data

If you have a publication you'd like to add please contact the TCIA Helpdesk.

Localtab
titleVersions

Version 1 (Current): Updated 2015/03/18

Data TypeDownload all or Query/Filter
Images (8.6GB)Image Added Image Added
Mouse GBM Update (PPT)Image Added

 

 


Data Access


Imaging Data

Info

You can view and download these images on TCIA by clicking Image Modified and selecting the Mouse-Mammary collection.

Collection Statistics

(updated 2015/03/18)

Modalities

MR

Number of Patients

32

Number of Studies

149

Number of Series

205

Number of Images

23,487

Images Size (GB)8.6

 

If you are unsure how to download this collection, please view Searching by Collection or refer to TCIA's User's Guide for more detailed instructions on using the site.

Related Data

...

 

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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.

...