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  • ACRIN 6667 (ACRIN-Contralateral-Breast-MR)

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Summary


Excerpt

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 ACRIN 6667 was 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.​

Some findings for ACRIN 6667 were that MRI detected clinically and mammographically occult breast cancer in the contralateral breast in 30 of 969 women who were enrolled in the study (3.1%). The sensitivity of MRI in the contralateral breast was 91%, and the specificity was 88%. The study concluded that MRI can detect cancer in the contralateral breast that is missed by mammography and clinical examination at the time of the initial breast-cancer diagnosis.

Acknowledgements

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.

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, XX.X GB)

 

Clinical Data (csv)


Note: Due to a missing value in the type 1 Sequence Variant DICOM tag (0018,0021), it was decided to populate the missing tag values with "NONE" (the Sequence Variant is actually unknown but "Unknown" is not a valid value for this tag).

Click the Versions tab for more info about data releases.


Localtab
titleDetailed Description

Detailed Description


Image Statistics


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Number of Patients


Number of Studies


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Images Size (GB)



Localtab
titleCitations & Data Usage Policy

Citations & Data Usage Policy

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:

Info
titleData Citation

Kinahan, Paul; Muzi, Mark; Bialecki, Brian; Herman Ben; Coombs, Laura. (2020). Data from the ACRIN 6667 Trial Contralateral Breast MRI. Data from The Cancer Imaging Archive. (2020).  http://doi.org (Coming soon).


Info
titlePublication Citation

Lehman, C.D., C. Gatsonis, C.K. Kuhl, R.E. Hendrick, E.D. Pisano, L. Hanna, S. Peacock, S.F. Smazal, D.D. Maki, T.B. Julian, E.R. DePeri, D.A. Bluemke and M.D. Schnall, MRI evaluation of the contralateral breast in women with recently diagnosed breast cancer. N Engl J Med, 2007. 356(13): p. 1295-303.


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. 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 yyyy/mm/dd


Data TypeDownload all or Query/Filter
Images (DICOM, xx.x GB)

(Requires NBIA Data Retriever .)

Clinical Data (CSV)Link





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