title: MRI Background Parenchymal Enhancement Is Not Associated with Breast Cancer.
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.
  
  
  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.
  
  
  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).
  
  
  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.
authors.affiliation: Department of Pharmaceutical Chemistry, University of Vienna, Vienna, Austria.|Department of Biomedical Imaging and Image-guided Therapy, Vienna General Hospital (AKH), Medical University of Vienna, Vienna, Austria.
authors.forename: Barbara
authors.initials: B
authors.lastname: Bennani-Baiti
authors.affiliation: Department of Radiology, University of Erlangen-Nürnberg, Nürnberg, Germany.
authors.forename: Matthias
authors.initials: M
authors.lastname: Dietzel
authors.affiliation: Department of Pharmaceutical Chemistry, University of Vienna, Vienna, Austria.
authors.forename: Pascal Andreas
authors.initials: PA
authors.lastname: Baltzer
mesh_terms: D000328:Adult; D000367:Age Factors; D000368:Aged; D001940:Breast / Q000000981:diagnostic imaging*; D001943:Breast Neoplasms / Q000175:diagnosis / Q000000981:diagnostic imaging*; D003430:Cross-Sectional Studies; D055088:Early Detection of Cancer / Q000379:methods*; D005260:Female; D006801:Humans; D016015:Logistic Models; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008875:Middle Aged; D015999:Multivariate Analysis; D012189:Retrospective Studies; D012307:Risk Factors