Research Article

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

Table 5

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−0.62 (0.02)***0.03 (0.03)0.79 (0.02)***0.71 (0.02)***
Age −0.03 (0.2)−0.01 (0.02)−0.02 (0.02) −0.02 (0.02)
Age at menarche0.03 (0.2)0.03 (0.02)0.01 (0.02) 0.02 (0.02)
Pregnancy, completed
 Zero Reference
 One−0.08 (0.08)−0.002 (0.1)0.18 (0.07)*0.16 (0.07)*
 Two−0.24 (0.07)**−0.37 (0.08)***0.005 (0.06)−0.14 (0.06)*
 Three and more−0.41 (0.07)***−0.69 (0.08)***−0.12 (0.06)*−0.35 (0.06)***
Measurement methoda,b
 HSMReference
 GE−0.003 (0.06)−0.01 (0.07)0.002 (0.05)0 (0.05)
 MATH0.01 (0.06)0.01 (0.07)0.001 (0.05)0 (0.05)
 3DGRE0.002 (0.06)−0.003 (0.07)0.003 (0.05)0 (0.06)
 STIR0.03 (0.06)0.01 (0.08)−0.02 (0.05)−0.02 (0.06)
Race and ethnicity
 Non-Hispanic White raceReference
 Hispanic race 0.16 (0.05)**0.33 (0.06)***−0.12 (0.04)**0.01 (0.04)
 African-American race0.47 (0.06)***0.39 (0.08)***−0.22 (0.05)***−0.05 (0.06)
Model 0.380.090.580.51

HSM, histogram segmentation method; FFDM, full field digital mammography unit; MATH, mathematical algorithm; 3DGRE, 3D gradient echo; STIR, short tau inversion recovery.
bInteraction terms between predictors and measurement methods were all not significant (results not shown).
, , and .