Table 3.

Logistic regression analysis for predicting pCR in breast cancer (BCa) patients.

Variable	Univariate logistic regression		Multivariate logistic regression
	OR (95% CI)	P-value	OR (95% CI)	P-value
Age (per one increase)	0.955 (0.884–1.031)	0.238	NA	NA
Menopausal (No vs. Yes)	0.621 (0.145–2.656)	0.52	NA	NA
Histologic type (NST invasive carcinoma vs. Other)	2.345 (0.508–9.811)	0.118	NA	NA
ER status (Negative vs. Positive)	0.255 (0.068–0.958)	0.043*	0.215 (0.062–0.745)	0.015*
PR status (Negative vs. Positive)	0.174 (0.045–0.675)	0.011*	0.214 (0.064–0.715)	0.012*
HER2 status (Negative vs. Positive)	0.736 (0.195–2.783)	0.651	NA	NA
Clinical stage (I vs. II)	0.758 (0.167–3.446)	0.72	NA	NA
Clinical stage (I vs. III)	0.838 (0.295–2.375)	0.739	NA	NA
Ki-67 (Low vs. High)	0.913 (0.149–5.577)	0.921	NA	NA
Radiomics score (per 0.1 increase)	2.575 (1.591–4.168)	0.001*	2.408 (1.56–3.715)	0.001*

ER, estrogen receptor; PR, progesterone receptor; HER2, human epidermal growth factor receptor 2; Ki-67, antigen Ki67.

^*p < 0.05.