Literature DB >> 26774741

Assessment of Background Parenchymal Enhancement and Lesion Kinetics in Breast MRI of BRCA 1/2 Mutation Carriers Compared to Matched Controls Using Quantitative Kinetic Analysis.

Alana A Lewin1, Sungheon Gene Kim2, James S Babb2, Amy N Melsaether2, Jason McKellop2, Melanie Moccaldi3, Ana Paula Klautau Leite4, Linda Moy2.   

Abstract

RATIONALE AND
OBJECTIVES: To investigate whether quantitative kinetic analysis of lesions and background parenchyma in breast magnetic resonance imaging can elucidate differences between BRCA carriers and sporadic controls with high risk for breast cancer.
MATERIALS AND METHODS: Fifty-nine BRCA and 59 control cases (49 benign, 10 malignant) were examined in this study. Principal component analysis was applied for quantitative analysis of dynamic signal in background parenchyma (B) and lesion (L) in terms of initial enhancement ratio (IER) and delayed enhancement ratio (DER).
RESULTS: Control B-IER, B-DER, L-IER, and L-DER were higher than BRCA cases in all women and in women with benign lesions; statistically significant differences in B-IER and B-DER (all women: P = 0.02 and P = 0.02, respectively; benign only: P = 0.005 and P = 0.005, respectively). In the control cohort, B-IER and B-DER were higher in the premenopausal women than in the postmenopausal women (P = 0.013 and 0.003, respectively), but not in the BRCA cohort; this led to significant differences in B-IER and B-DER between the control and the BRCA groups in the premenopausal women (P = 0.01 and 0.01, respectively) but not in the postmenopausal women.
CONCLUSION: Results suggest possible differences in the vascular properties of background parenchyma between BRCA carriers and noncarriers and its association with menopausal status.
Copyright © 2015 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  BRCA 1/2 mutation carrier; background parenchymal enhancement (BPE); dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI); principal component analysis (PCA)

Mesh:

Substances:

Year:  2016        PMID: 26774741      PMCID: PMC5893133          DOI: 10.1016/j.acra.2015.11.011

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


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