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MRI Background Parenchymal Enhancement Is Not Associated with Breast Cancer.
- Source :
-
PloS one [PLoS One] 2016 Jul 05; Vol. 11 (7), pp. e0158573. Date of Electronic Publication: 2016 Jul 05 (Print Publication: 2016). - Publication Year :
- 2016
-
Abstract
- Background: Previously, a strong positive association between background parenchymal enhancement (BPE) at magnetic resonance imaging (MRI) and breast cancer was reported in high-risk populations. We sought to determine, whether this was also true for non-high-risk patients.<br />Methods: 540 consecutive patients underwent breast MRI for assessment of breast findings (BI-RADS 0-5, non-high-risk screening (no familial history of breast cancer, no known genetic mutation, no prior chest irradiation, or previous breast cancer diagnosis)) and subsequent histological work-up. For this IRB-approved study, BPE and fibroglandular tissue FGT were retrospectively assessed by two experienced radiologists according to the BI-RADS lexicon. Pearson correlation coefficients were calculated to explore associations between BPE, FGT, age and final diagnosis of breast cancer. Subsequently, multivariate logistic regression analysis, considering covariate colinearities, was performed, using final diagnosis as the target variable and BPE, FGT and age as covariates.<br />Results: Age showed a moderate negative correlation with FGT (r = -0.43, p<0.001) and a weak negative correlation with BPE (r = -0.28, p<0.001). FGT and BPE correlated moderately (r = 0.35, p<0.001). Final diagnosis of breast cancer displayed very weak negative correlations with FGT (r = -0.09, p = 0.046) and BPE (r = -0.156, p<0.001) and weak positive correlation with age (r = 0.353, p<0.001). On multivariate logistic regression analysis, the only independent covariate for prediction of breast cancer was age (OR 1.032, p<0.001).<br />Conclusions: Based on our data, neither BPE nor FGT independently correlate with breast cancer risk in non-high-risk patients at MRI. Our model retained only age as an independent risk factor for breast cancer in this setting.
- Subjects :
- Adult
Age Factors
Aged
Breast Neoplasms diagnosis
Cross-Sectional Studies
Female
Humans
Logistic Models
Middle Aged
Multivariate Analysis
Retrospective Studies
Risk Factors
Breast diagnostic imaging
Breast Neoplasms diagnostic imaging
Early Detection of Cancer methods
Magnetic Resonance Imaging methods
Subjects
Details
- Language :
- English
- ISSN :
- 1932-6203
- Volume :
- 11
- Issue :
- 7
- Database :
- MEDLINE
- Journal :
- PloS one
- Publication Type :
- Academic Journal
- Accession number :
- 27379395
- Full Text :
- https://doi.org/10.1371/journal.pone.0158573