Nomogram prediction of vessels encapsulating tumor clusters in small hepatocellular carcinoma ≤ 3 cm based on enhanced magnetic resonance imaging

Table 2 Univariate and multivariate logistic regression analyses in training set for predicting vessels encapsulating tumor clusters

Variable	Univariable logistic regression			Multivariable logistic regression
	OR	95%CI	P value	OR	95%CI	P valuea
HBV/C-DNA (IU/mL)			0.083
50-103	2.527	1.043, 6.125	0.040
103-105	0.464	0.583, 3.269	0.464
> 105	2.354	1.022, 5.421	0.044
AFP_Lg10	1.607	1.126, 2.293	0.009	1.857	1.212, 2.845	0.004
CA199	1.033	1.011, 1.055	0.003	1.035	1.010, 1.061	0.006
Shape (Irregular)	2.463	1.345, 4.511	0.004	3.881	1.750, 8.609	0.001
Margin (non-smooth)	2.489	1.356, 4.569	0.003	3.409	1.526, 7.616	0.003
Arterial peritumoral enhancement (present)	6.784	2.915, 15.786	< 0.001	4.679	1.847, 11.853	0.001

^aP < 0.05 indicates a significant difference between vessels encapsulating tumor clusters (VETC)-positive and -negative hepatocellular carcinoma (HCC) in multivariable logistic regression.

OR: Odds ratio; CI: Confidence interval; VETC: Vessels encapsulating tumor clusters; HBV/C-DNA: Quantitation of hepatitis B virus genomic DNA; AFP: Alpha-fetoprotein; CA199: Carbohydrate antigen 199.