Versions Compared

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.

Summary

Excerpt

...

<Insert Excerpt Here>

<Insert additional Summary information here> 

<Insert information about relevant initiatives outside TCIA>

Imaging Data

 

 

...

Collection Statistics

...

(updated 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 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.


Localtab Group


Localtab
activetrue
titleData Access

Data Access

Click the  Download button to save a ".tcia" manifest file to your computer, which you must open with the NBIA Data Retriever . Click the Search button to open our Data Portal, where you can browse the data collection and/or download a subset of its contents.

Data TypeDownload all or Query/Filter
Images (DICOM, 8.6GB)

Click the Versions tab for more info about data releases.


Localtab
titleDetailed Description

Detailed Description

Collection Statistics


Modalities

MR

Number of

...

Participants

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

...

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


Localtab

 

 

Acknowledgements

We would like to acknowledge the individuals and institutions that have provided data for this collection:

  • Institution, City, State - Special thanks to Name, degree(s)  from the Department of XXXXX.
titleCitations & Data Usage Policy

Citations & Data Usage Policy 

Public collection license
Info
titleData 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


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. (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

TCIA maintains a list of publications which leverage TCIA data. If you have a manuscript 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)