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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 more information, please contact Dr. Sunny Jansen (jansensa0@gmail.com).

References

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

Related Data

Mouse GBM:  A Pilot Collection: Sunny_jansen_NBIA_mouseGBM_update_ICR_508.ppt .

Data Access

 

Image Data Links
Note
Complete CollectionThis is the complete collection. Click the data link if this is the first time you are accessing this collection.

Mouse-Mammary_Q3_2015

Click the data link to access all data added to the collection up until Q3 2015
Mouse-Mammary_Q4_2015 (TBD)Click the data link to access all data added to the collection in Q4 2015 
You can always view and download these images on TCIA by clicking  and selecting the Mouse-Mammary collection. You can also access the data directly using the links below

Citation Guidelines

This dataset can be cited using the DOI: http://dx.doi.org/10.7937/K9/TCIA.2015.9P42KSE6

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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