Table 3.
Binomial univariate and multivariate logistic regressions (ER/PR positive vs negative)
| ER/PR positive vs negative |
Univariate
|
Multivariate (AUC = 0.792)
|
|||||
|
|
|
P
|
OR
|
CI
|
P
|
OR
|
CI
|
| Posterior acoustic features1 | Enhancement | d | 0.46 | (0.193 1.050) | d | 0.45 | (0.174 1.143) |
| Shadowing | b | 4.26 | (1.617 11.633) | Not significant | |||
| Margins2 | Spiculated | a | 4.16 | (2.268 7.975) | a | 0.41 | (1.085 4.606) |
| Circumscribed | a | 0.15 | (0.023 0.594) | Not significant | |||
| Size | Small < 20 mm | c | 4.51 | (2.499 7.443) | a | 2.74 | (1.475 5.204) |
1
Mixed posterior acoustic features were set as the baseline with OR = 1.
2
Microlobulated ultrasound margins were set as the baseline with OR = 1.
a
Significant at the 0.001 level.
b
Significant at the 0.01 level.
c
Significant at the 0.05 level.
d
Significant at the 0.10 level.
Area under the receiver operating characteristic curve for multivariate regression on posterior acoustic features, ultrasound margins, MM high-risk microcalcifications, and size (large or small).