- Created by Erica Bilello, last modified by Geri Blake on Oct 27, 2020
You are viewing an old version of this page. View the current version.
Compare with Current View Page History
« Previous Version 6 Next »
Summary
Even after careful clinical and mammographic evaluation, cancer is found in the contralateral breast in up to 10% of women who have received treatment for unilateral breast cancer. We conducted a study to determine whether magnetic resonance imaging (MRI) could improve on clinical breast examination and mammography in detecting contralateral breast cancer soon after the initial diagnosis of unilateral breast cancer.
Acknowledgements
We would like to acknowledge the individuals and institutions that have provided data for this collection:
Hospital/Institution Name city, state, country - Special thanks to First Last Names, degree PhD, MD, etc from the Department of xxxxxx, Additional Names from same location.
- Continue with any names from additional submitting sites if collection consists of more that one.
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 Type | Download all or Query/Filter |
---|---|
Images (DICOM, XX.X GB) | |
Supplemental Data (format) |
Note: Due to a missing value in the type 1 Sequence Variant DICOM tag (0018,0021), it was decided to populate the tag with missing values with "NONE". Actually, the value is unknown.
Click the Versions tab for more info about data releases.
Detailed Description
Image Statistics | |
---|---|
Modalities | |
Number of Patients | 1,007 |
Number of Studies | |
Number of Series | |
Number of Images | |
Images Size (GB) |
Add any additional information as needed below. Likely would be something from site.
Citations & Data Usage Policy
Add any special restrictions in here.
Users of this data must abide by the TCIA Data Usage Policy and the Creative Commons Attribution 3.0 Unported License under which it has been published. Attribution should include references to the following citations:
Data Citation
DOI goes here. Create using pubhub with information from Collection Approval form
Acknowledgement
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. 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. 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.
Version X (Current): Updated yyyy/mm/dd
Data Type | Download all or Query/Filter |
---|---|
Images (DICOM, xx.x GB) |
(Requires NBIA Data Retriever .) |
Clinical Data (CSV) | Link |
Other (format) |
Added new subjects.
Version 1: Updated 2018/10/24
Added new subjects.
- No labels