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All women will undergo MR evaluation of the contralateral breast. Truth regarding breast cancer status will be determined through the results of a breast biopsy, if that occurs, or as a result of a 24-month follow-up without clinical evidence of disease. 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.
This shared data set was provided in collaboration with the American College of Radiology Core Lab. Many thanks are due to the ACRIN 6667 trial team, and all the patients participating in the study. This study was supported by ACRIN, which received funding from the National Cancer Institute through UO1 CA080098, under the American Recovery and Reinvestment ACT of 2009 (ARRA) and UO1 CA079778. (are the numbers in red correct for this collection?)
Please see QIN ECOG-ACRIN Data Sharing page for an overview and list of other ECOG-ACRIN data collections available on TCIA
Continue with any names from additional submitting sites if collection consists of more that one.
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active | true |
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title | Data Access |
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| Data AccessClick 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 |
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Images (DICOM, XX.X GB) | | Supplemental Clinical Data (formatcsv) | |
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. |
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title | Detailed Description |
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Modalities |
| Number of Patients | 1,007 |
| Number of Studies |
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| Images Size (GB) | Add any additional information as needed below. Likely would be something from site.
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title | Citations & Data Usage Policy |
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| Citations & Data Usage PolicyAdd any special restrictions in here. This is a limited access data set and is only available to members of NCI's Quantitative Imaging Network (QIN) until XX/XX/XXXX. If you are a member of the QIN and would like to request access, please submit a CCP proposal to the QIN Coordinating Committee. Upon receiving access you may only use it for the purposes outlined in your proposal. You are not allowed to redistribute the data or use it for other purposes. 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:public-collection-license Info |
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| DOI goes here. Create using pubhub with information from Collection Approval formKinahan, Paul; Muzi, Mark; Bialecki, Brian; Herman Ben; Coombs, Laura. (20XX). Data from the ACRIN 6667 Trial Contralateral Breast MRI. Data from The Cancer Imaging Archive. (2020). http://doi.org (Coming soon). |
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| 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 DataTCIA maintains a list of publications which leverage TCIA data. If you have a manuscript you'd like to add please contact the TCIA Helpdesk. |
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Data Type | Download all or Query/Filter |
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Images (DICOM, xx.x GB) | | Clinical Data (CSV) | Link | Other (format) | Image Removed
| Added new subjects. Version 1: Updated 2018/10/24Added new subjects.
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