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

Table 6 Multivariable logistic regression analysis of clinical variables and radiomic signatures (RNWCF)

Variable	OR	[0.025	0.975]	S.E.	Z	P
N stage	2.336	1.256	4.345	1.372	14.585	0.003
Long axis (mm)	0.533	0.228	1.245	1.542	0.233	0.063
Short axis (mm)	5.070	0.508	50.602	3.235	3.987	0.073
Cortical thickness	181.781	10.475	3152.654	4.289	35.659	0.000
ER	1.722	0.897	3.310	1.395	5.114	0.045
Ki67	0.483	0.251	0.928	1.395	0.113	0.013
Radiomics	28.974	5.474	153.393	2.340	52.405	0.000

ISSN: 1479-5876