Role of mammogram and ultrasound imaging in predicting breast cancer subtypes in screening and symptomatic patients

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)

¹Mixed posterior acoustic features were set as the baseline with OR = 1.

²Microlobulated ultrasound margins were set as the baseline with OR = 1.

^aSignificant at the 0.001 level.

^bSignificant at the 0.01 level.

^cSignificant at the 0.05 level.

^dSignificant 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).