Research Article

Similarity of Fibroglandular Breast Tissue Content Measured from Magnetic Resonance and Mammographic Images and by a Mathematical Algorithm

Table 4

Multivariate analysis model estimates for percent breast density (%-G), fibroglandular tissue volume (GV), fat tissue volume (FV), and total breast volume (TV) measured by five different methods ( ).

Explanatory variableStandardized -estimates (SE)
%-GGVFVTV

BMI−0.59 (0.09)***−0.10 (0.11)0.65 (0.07)***0.52 (0.08)***
Age −0.09 (0.07)−0.13 (0.08)−0.09 (0.05)−0.12 (0.06)*
Age at menarche0.13 (0.07)0.13 (0.08)−0.05 (0.05)0.01 (0.06)
Pregnancy, completed
 Zero Reference
 One0.22 (0.26)−0.29 (0.32)−0.28 (0.21)−0.34 (0.23)
 Two−0.52 (0.21)*−0.81 (0.27)**−0.08 (0.17)−0.34 (0.19)
 Three and more−0.52 (0.22)*−0.99 (0.28)***−0.18 (0.18)−0.49 (0.20)**
Alkaline phosphatase (ALP)−0.06 (0.08)0.06 (0.10)0.12 (0.06)*0.12 (0.07)
Alanine aminotransferase (ALT)−0.22 (0.10)*−0.16 (0.12)0.07 (0.08)0.01 (0.09)
Aspartate aminotransferase (AST)0.32 (0.10)***0.24 (0.12)*−0.15 (0.08)−0.04 (0.09)
Insulin-like growth factor I (IGF-I)−0.03 (0.07)−0.10 (0.09)−0.04 (0.06)−0.07 (0.06)
Insulin-like growth factor II (IGF-II)−0.10 (0.07)0.03 (0.09)0.16 (0.06)**0.15 (0.06)*
Sex hormone binding globulin (SHBG)0.07 (0.07)−0.09 (0.09)−0.05 (0.06)−0.07 (0.06)
C-reactive protein (CRP)0.13 (0.09)0.23 (0.11)*0.05 (0.07)0.13 (0.08)
17β-Estradiol−0.09 (0.07)0.01 (0.09)0.02 (0.06)0.02 (0.06)
Progesterone0.13 (0.07)*0.20 (0.08)*−0.02 (0.05)0.05 (0.06)
Measurement methods#
 Histogram segmentation method (HSM)Reference
 Full field digital mammography (FFDM)−0.02 (0.27)−0.12 (0.33)−0.10 (0.21) 0 (0.23)
 Mathematical algorithm (MATH) 0.10 (0.27) 0.01 (0.33)−0.01 (0.21) 0 (0.23)
 3D gradient-echo MRI (3DGRE)−0.04 (0.27)−0.13 (0.34)−0.01 (0.21)−0.10 (0.24)
 Short tau inversion recovery MRI (STIR)−0.10 (0.27)−0.14 (0.33)−0.003 (0.21)−0.09 (0.23)
Race and ethnicity
 Non-Hispanic White Reference
 Hispanic 0.30 (0.16)0.32 (0.20)−0.11 (0.13)0.02 (0.14)
 African-American 0.40 (0.20)*0.34 (0.25)−0.07 (0.16)0.06 (0.18)
Model 0.540.290.710.65

, , and for predictor strength within a regression model.
#All values >0.05 for interaction terms between predictor variables and measurement methods (results not shown).