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High resolution MRI of the breast at 3 T: which BI-RADS® descriptors are most strongly associated with the diagnosis of breast cancer?

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Abstract

Objective

To identify which breast lesion descriptors in the ACR BI-RADS® MRI lexicon are most strongly associated with the diagnosis of breast cancer when performing breast MR imaging at 3 T.

Methods

150 patients underwent breast MR imaging at 3 T. Lesion size, morphology and enhancement kinetics were assessed according to the BI-RADS® classification. Sensitivity, specificity and diagnostic accuracy were assessed. The effects of the BI-RADS® descriptors on sensitivity and specificity were evaluated. Data were analysed using logistic regression. Histopathological diagnoses were used as the standard of reference.

Results

The sensitivity, specificity and diagnostic accuracy of breast MRI at 3 T was 99%, 81% and 93%, respectively. In univariate analysis, the final diagnosis of malignancy was positively associated with irregular shape (p < 0.001), irregular margin (p < 0.001), heterogeneous enhancement (p < 0.001), Type 3 enhancement kinetics (p = 0.02), increasing patient age (p = 0.02) and larger lesion size (p < 0.001). In multivariate analysis, significant associations with malignancy remained for mass shape (p = 0.06), mass margin (p < 0.001), internal enhancement pattern (p = 0.03) and Type 3 enhancement kinetics (p = 0.06).

Conclusion

The ACR BI-RADS® breast lesion descriptors that are mostly strongly associated with breast cancer in breast MR imaging at 3 T are lesion shape, lesion margin, internal enhancement pattern and Type 3 enhancement kinetics.

Key Points

• 3 Tesla breast MRI allows an accurate diagnosis of breast cancer

• The BI-RADS® descriptors help provide a confident diagnosis

• The shape, margin, enhancement pattern and kinetics are the most important features

• An irregular shape and margin, heterogeneous enhancement and type-3 kinetics indicate malignancy

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Author information

Authors and Affiliations

  1. Dept. of Radiology, Division of Molecular and Gender Imaging, Medical University Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria

    K. Pinker-Domenig, H. Bickel & T. H. Helbich

  2. Dept. of Radiology, MR Centre of Excellence, Medical University Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria

    W. Bogner, S. Gruber & S. Trattnig

  3. Dept. of Radiology, Medical University Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria

    W. Bogner, S. Gruber, H. Bickel & M. Schernthaner

  4. Cancer Research UK Centre for Epidemiology, Mathematics and Statistics, Wolfson Institute of Preventive Medicine, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, EC1M 6BQ, London, UK

    S. Duffy

  5. Dept. of Surgery, Medical University Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria

    P. Dubsky

  6. Dept. of Internal Medicine, Division of Oncology, Medical University Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria

    U. Pluschnig

  7. Clinical Institute of Pathology, Medical University Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria

    M. Rudas

Authors
  1. K. Pinker-Domenig
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  2. W. Bogner
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  6. M. Schernthaner
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  7. P. Dubsky
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  8. U. Pluschnig
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  9. M. Rudas
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  10. S. Trattnig
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  11. T. H. Helbich
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Corresponding author

Correspondence to T. H. Helbich.

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Pinker-Domenig, K., Bogner, W., Gruber, S. et al. High resolution MRI of the breast at 3 T: which BI-RADS® descriptors are most strongly associated with the diagnosis of breast cancer?. Eur Radiol 22, 322–330 (2012). https://doi.org/10.1007/s00330-011-2256-6

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  • DOI: https://doi.org/10.1007/s00330-011-2256-6

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