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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. ACRIN 6667 was conducted 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.

METHODS

A total of 969 women with a recent diagnosis of unilateral breast cancer and no abnormalities on mammographic and clinical examination of the contralateral breast underwent breast MRI. The diagnosis of MRI-detected cancer was confirmed by means of biopsy within 12 months after study entry. The absence of breast cancer was determined by means of biopsy, the absence of positive findings on repeat imaging and clinical examination, or both at 1 year of follow-up.

RESULTS

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 negative predictive value of MRI was 99%. A biopsy was performed on the basis of a positive MRI finding in 121 of the 969 women (12.5%), 30 of whom had specimens that were positive for cancer (24.8%); 18 of the 30 specimens were positive for invasive cancer. The mean diameter of the invasive tumors detected was 10.9 mm. The additional number of cancers detected was not influenced by breast density, menopausal status, or the histologic features of the primary tumor.

CONCLUSIONS

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. (ClinicalTrials.gov number, NCT00058058. opens in new tab.)

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.

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, 186 GB)
Clinical Data (csv)

Data available upon request. See Citations and Data Usage Policy tab.

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).

Please note that Case Number 120 image data has been removed due to data corruption; clinical information is still present in clinical data spreadsheets.

Click the Versions tab for more info about data releases.

Detailed Description

Image Statistics


Modalities

MR, CR

Number of Patients

985

Number of Studies

1104

Number of Series

10188

Number of Images

627125

Images Size (GB)186

Note: There are data for 985 patients but only 969 were included in the primary data analysis due to study criteria.

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:

Data Citation

Kinahan, P.; Muzi, M., Bialecki, B., Herman, B., Coombs, L. (2021). ACRIN 6667 Trial Contralateral Breast MRI [Data set]. The Cancer Imaging Archive.  http://doi.org/10.7937/q1ee-j082 (draft, not findable)

Publication Citation

Lehman, C. D., Gatsonis, C., Kuhl, C. K., Hendrick, R. E., Pisano, E. D., Hanna, L., Peacock, S., Smazal, S. F., Maki, D. D., Julian, T. B., DePeri, E. R., Bluemke, D. A., & Schnall, M. D. (2007). MRI Evaluation of the Contralateral Breast in Women with Recently Diagnosed Breast Cancer. New England Journal of Medicine, 356(13), 1295–1303. https://doi.org/10.1056/nejmoa065447

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. (2013). The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository. Journal of Digital Imaging, 26(6), 1045–1057. 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 1 (Current): Updated yyyy/mm/dd

Data TypeDownload all or Query/Filter
Images (DICOM, 186 GB)
Clinical Data (CSV)Data available upon request. See Citations and Data Usage Policy tab.

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).

Please note that Case Number 120 image data has been removed due to data corruption; clinical information is still present in clinical data spreadsheets.

Click the Versions tab for more info about data releases.






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