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 (n = 320).
| Explanatory variable | Standardized β-estimates (SE) | |||
|---|---|---|---|---|
| %-G | GV | FV | TV | |
| 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 menarche | 0.03 (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 | ||||
| HSM | Reference | |||
| GE | −0.003 (0.06) | −0.01 (0.07) | 0.002 (0.05) | 0 (0.05) |
| MATH | 0.01 (0.06) | 0.01 (0.07) | 0.001 (0.05) | 0 (0.05) |
| 3DGRE | 0.002 (0.06) | −0.003 (0.07) | 0.003 (0.05) | 0 (0.06) |
| STIR | 0.03 (0.06) | 0.01 (0.08) | −0.02 (0.05) | −0.02 (0.06) |
| Race and ethnicity | ||||
| Non-Hispanic White race | Reference | |||
| Hispanic race | 0.16 (0.05)∗∗ | 0.33 (0.06)∗∗∗ | −0.12 (0.04)∗∗ | 0.01 (0.04) |
| African-American race | 0.47 (0.06)∗∗∗ | 0.39 (0.08)∗∗∗ | −0.22 (0.05)∗∗∗ | −0.05 (0.06) |
| Model R 2 | 0.38 | 0.09 | 0.58 | 0.51 |
aHSM, 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).
***P < 0.001, **P < 0.01, and *P < 0.05.