Volume 15 Supplement 1

Proceedings of the International Cancer Imaging Society (ICIS) 15th Annual Teaching Course

Open Access

Accuracy of MRI for prediction of response to neo-adjuvant chemotherapy in triple negative breast cancer

Cancer Imaging201515(Suppl 1):P18

https://doi.org/10.1186/1470-7330-15-S1-P18

Published: 2 October 2015

Aim

The aim of this study was to compare the accuracy of MRI for prediction of response to neo-adjuvant chemotherapy in triple negative breast cancer, with respect to other molecular types.

Methods

The study comprised of 82 patients who underwent MRI before and after neo-adjuvant chemotherapy but just before surgery. Triple negative cancers were analysed with respect to others subtypes in terms of presentation on MRI (mass or non –mass like enhancement), grade, axillary involvement, shrinkage pattern on MR following chemotherapy and imaging and pathological complete response rate. Accuracy of MRI for prediction of pathological complete response was also compared between different subtypes, by obtaining ROC curves. SPSS (version 21) was used for all data analysis with p value of 0.05 as statistically significant.

Results

Out of a total of 82 patients, 29 were luminal (HR+/HER -), 23 were triple negative (HR-,HER-), 11 HER positive (HR-,HER+), 19 (HR+/HER+ hybrid). Triple negative cancers are more likely to present as masses on MRI on the pre-chemotherapy MRI scan, were grade 3 and show concentric shrinkage following chemotherapy. Triple negative cancers are more likely to have both imaging and pathological complete response following chemotherapy (p=0.055). For the triple negative group, MR had a sensitivity of 0.745 and specificity of 0.700 (p=0.035), with an area under curve (AUC) of 0.745(95% CI 0.526-0.965).

Conclusion

Triple negative breast cancers present as masses and show concentric shrinkage following chemotherapy. MRI is most sensitive and specific in predicting response to chemotherapy in this group, compared to others subtypes.

Authors’ Affiliations

(1)
Breast Centre Llandough, University Hospital of Llandough

Copyright

© Bansal and Santosh 2015

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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