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

Table 4 Binomial univariate and multivariate logistic regressions (Triple-negative breast cancer vs Non-triple-negative breast cancer)

TNBC vs Non-TNBC		Univariate			Multivariate (AUC = 0.853)
		P	OR	CI	P	OR	CI
Posterior acoustic features1	Enhancement	b	5.08	(1.808 18.201)	a	4.77	(1.556 18.291)
Margins2	Spiculated	a	0.43	(0.179 0.951)	Not significant
	Circumscribed	c	11.00	(3.712 37.166)	b	8.24	(2.151 38.923)
Size	Large > 20 mm	c	13.2	(5.152 44.845)	c	10.5	(3.792 38.436)
Axillary node metastasis	Yes	b	2.52	(1.247 4.988)	Not significant
Adler’s Index	High	a	2.12	(1.104 4.020)	Not significant
aScreening	Yes	d	0.003	(0.000 0.222)	d	0.004	(0.000 0.452)
aInteraction term	Screen × unit size	d	1.17	(1.003 1.505)	d	1.16	(1.001 1.430)

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, and size (large or small). AUC: Area under the receiver operating characteristic curve; TNBC: Triple-negative breast cancer.