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Evaluation of Multifocality and Multicentricity With Breast Magnetic Resonance Imaging in Each Breast Cancer Subtype.

Authors :
Prochowski Iamurri A
Ponziani M
Macchini M
Fogante M
Pistelli M
De Lisa M
Berardi R
Giuseppetti GM
Source :
Clinical breast cancer [Clin Breast Cancer] 2018 Apr; Vol. 18 (2), pp. e231-e235. Date of Electronic Publication: 2017 Oct 28.
Publication Year :
2018

Abstract

Introduction: The purpose of this study was to evaluate whether diagnostic performance of breast magnetic resonance imaging (MRI) for detection of multifocality and multicentricity (MFMC) of breast cancer (BC) can be influenced by different histotypes or immunophenotypes in newly diagnosed patients with breast cancer.<br />Materials and Methods: In this institutional review board-approved retrospective study, 289 patients who underwent both preoperative breast MRI and radical or modified mastectomy in our institution because of primary BCs were selected. Patients were stratified based on the pathologic report in 2 main histotypes and 5 immunophenotypes. By matching the radiologic report with the corresponding pathologic report for each patient, breast MRI performance for detection of MFMC were obtained in each histotype and immunophenotype and subsequently compared.<br />Results: Overall breast MRI sensitivity for MFMC detection was 88.1%, specificity was 80.0%, positive predictive value 82.1%, negative predictive value 85.8%, diagnostic accuracy 83.7%, and area under the curve 0.835. Breast MRI sensitivity for MFMC detection in triple-negative BC was 84.6% (P = .88), specificity 70.8% (P = .63), positive predictive value 61.1% (P = .02), negative predictive value 89.5% (P = .20), diagnostic accuracy 75.7% (P = .65), and area under the curve 0.777 (P = .87).<br />Conclusion: Performance of breast MRI for the detection of MFMC are not influenced by the BC histotypes, in accordance with published literature. Conversely, the triple-negative immunophenotypes demonstrated lower performance, statistically significant only for positive predictive value (P = .02), for the detection of MFMC.<br /> (Copyright © 2017 Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1938-0666
Volume :
18
Issue :
2
Database :
MEDLINE
Journal :
Clinical breast cancer
Publication Type :
Academic Journal
Accession number :
29196020
Full Text :
https://doi.org/10.1016/j.clbc.2017.10.012