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Open Access

PB.29. Retrospective correlation between MRI and histopathology in preoperative assessment of invasive breast carcinoma

  • G Gracey1,
  • J McKillen1,
  • C Majury1 and
  • J McAllister1
Breast Cancer Research201416(Suppl 1):P34

https://doi.org/10.1186/bcr3726

Published: 3 November 2014

Keywords

Breast CancerInvasive Ductal CarcinomaInvasive Lobular CarcinomaInvasive Breast CarcinomaPathological Subtype

Introduction

Accurate preoperative assessment of a breast tumor has an important role in the planning of breast cancer treatment. The purpose of this study was to assess the accuracy of preoperative MRI in sizing breast tumors of varying pathological subtypes.

Methods

A patient list was populated from the local PACS database. The sample included all patients with a new diagnosis of breast cancer who underwent preoperative contrast-enhanced MRI breast imaging over an 18-month period. The MRI breast images were reviewed and the largest dimension (mm) was recorded. Correlation with the postoperative pathology report was made.

Results

The sample size included 42 patients with 43 breast cancers. Average tumor size was 42 mm. There was direct MRI/pathological size correlation in 41% of cases. MRI overestimated 19% of tumor sizes, and underestimated 40%. DCIS was under estimated in 40%. MRI accurately sized 62% of intermediate DCIS compared with 25% high-grade DCIS. LCIS was underestimated in 31%. MRI accurately sized 45% of invasive ductal carcinoma and 40% of invasive lobular carcinoma.

Conclusion

This study shows that MRI accurately sizes breast cancer tumors in 41% of cases, overestimates 19% and underestimates 40%. MRI is more accurate at measuring intermediate DCIS compared with high-grade DCIS. A similar accuracy is found between IDC and ILC. Better preoperative tumor sizing is fundamental for initial surgical planning, decreasing the need for re-excision or mastectomy and therefore appropriate treatment.

Authors’ Affiliations

(1)
Ulster Hospital, Dundonald, UK

Copyright

© Gracey et al.; licensee BioMed Central Ltd. 2014

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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