Literature DB >> 29853301

The value of breast MRI for BI-RADS category 4B mammographic microcalcification: based on the 5th edition of BI-RADS.

N L Eun1, E J Son1, H M Gweon2, J H Youk1, J-A Kim1.   

Abstract

AIM: To investigate whether magnetic resonance imaging (MRI) can improve the positive predictive value (PPV) for Breast Imaging-Reporting and Data System (BI-RADS) category 4B mammographic microcalcification.
MATERIALS AND METHODS: One hundred and eight consecutive patients with BI-RADS category 4B microcalcification without mass on mammography underwent breast MRI and subsequent histopathological confirmation between January 2009 and December 2015. Mammography and MRI findings were reviewed retrospectively, and imaging features were analysed according to the 5th edition of BI-RADS. The PPV of each descriptor was analysed to identify subgroups in which PPV could be improved by the addition of MRI.
RESULTS: When the criteria of presence of enhancement on MRI was applied to category 4B microcalcification, PPV increased from 0.38 (41 of 108) to 0.82 (37 of 45) and reduced benign biopsy results by 88% (59 of 67). Four ductal carcinoma in situ lesions were missed. For amorphous microcalcification with regional or grouped distribution, MRI images increased PPV without missing malignancy.
CONCLUSION: Breast MRI has the potential to improve PPV for category 4B mammographic microcalcification by reducing false-positive findings. If amorphous microcalcification with regional or grouped distribution on mammography shows no enhancement on MRI, follow-up could be considered rather than immediate biopsy. In addition, breast MRI might have the potential to guide the best site to biopsy in category 4B microcalcification.
Copyright © 2018 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.

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Year:  2018        PMID: 29853301     DOI: 10.1016/j.crad.2018.04.014

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  3 in total

1.  In-cell determination of Lactate Dehydrogenase Activity in a Luminal Breast Cancer Model ⁻ ex vivo Investigation of Excised Xenograft Tumor Slices Using dDNP Hyperpolarized [1-13C]pyruvate.

Authors:  Yael Adler-Levy; Atara Nardi-Schreiber; Talia Harris; David Shaul; Sivaranjan Uppala; Gal Sapir; Naama Lev-Cohain; Jacob Sosna; Shraga Nahum Goldberg; J Moshe Gomori; Rachel Katz-Brull
Journal:  Sensors (Basel)       Date:  2019-05-05       Impact factor: 3.576

2.  Diagnosis of Breast Cancer Using Radiomics Models Built Based on Dynamic Contrast Enhanced MRI Combined With Mammography.

Authors:  You-Fan Zhao; Zhongwei Chen; Yang Zhang; Jiejie Zhou; Jeon-Hor Chen; Kyoung Eun Lee; Freddie J Combs; Ritesh Parajuli; Rita S Mehta; Meihao Wang; Min-Ying Su
Journal:  Front Oncol       Date:  2021-11-17       Impact factor: 6.244

Review 3.  Understanding indications and defining guidelines for breast magnetic resonance imaging.

Authors:  Peter K Schoub
Journal:  SA J Radiol       Date:  2018-10-30
  3 in total

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