Noninvasive prediction of node-positive breast cancer response to presurgical neoadjuvant chemotherapy therapy based on machine learning of axillary lymph node ultrasound

Table 3 Backward-stepwise regression of clinical variables (clinical model)

Variable	OR	[0.025	0.975]	S.E.	Z	P
N stage	2.320	1.235	4.358	0.322	2.614	0.009
Long axis (mm)	0.453	0.201	1.020	0.414	− 1.911	0.056
Short axis (mm)	9.142	0.990	84.437	1.134	1.951	0.051
Cortical thickness	1308.975	82.023	20889.460	1.413	5.078	0.000
ER	1.883	1.013	3.501	0.317	2.000	0.046
Ki67	0.489	0.263	0.910	0.317	− 2.255	0.024

ISSN: 1479-5876