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

Table 2 Univariate analysis of clinical variables

Variable	OR	[0.025	0.975]	S.E.	Z	P
Age	1.005	0.982	1.028	0.012	0.425	0.671
T stage	0.767	0.536	1.096	0.182	− 1.453	0.146
N stage	3.246	1.868	5.641	0.282	4.179	0.000
Long axis (mm)	1.801	1.158	2.798	0.225	2.616	0.009
Short axis (mm)	16.263	4.559	58.032	0.649	4.298	0.000
Cortical thickness (mm)	2926.025	191.330	44712.125	1.391	5.736	0.000
Cortical thickening	6.109	1.837	20.328	0.613	2.951	0.003
Medulla absence	7.492	2.266	24.779	0.610	3.300	0.001
ER	1.702	1.036	2.798	0.254	2.096	0.036
HER2	0.497	0.302	0.818	0.254	− 2.753	0.006
Ki-67	0.502	0.299	0.845	0.265	− 2.599	0.009
NAC Regimens	0.957	0.875	1.048	0.046	− 0.945	0.345

ISSN: 1479-5876