Biparametric magnetic resonance imaging-based radiomic and deep learning models for predicting Ki-67 risk stratification in hepatocellular carcinoma

Table 3 Univariable and multivariable analyses for high Ki-67 risk stratification

	Univariate analysis			Multivariate analysis
	OR	95%CI	P value	OR	95%CI	P value
Age	0.99	0.99-1.00	0.170
Sex	0.83	0.61-1.12	0.310
ALT	0.99	0.99-1.00	0.609
AST	0.99	0.99-1.00	0.649
TB	0.99	0.97-1.00	0.139
Cirrhosis	0.77	0.45-1.31	0.425
AFP	1.44	0.94-2.21	0.161
HBV/HCV	0.80	0.57-1.12	0.270
BCLC stage	2.50	0.95-6.61	0.121
Child-Pugh	0.86	0.34-2.14	0.782
HCC number	0.79	0.61-1.03	0.141
Irregular shape	1.09	0.73-1.62	0.718
Nonsmooth margin	3.58	2.09-6.13	< 0.001	11.06	5.60-21.82	< 0.001
Enhancing capsule	0.69	0.51-0.94	0.046	0.27	0.17-0.42	< 0.001
Mosaic architecture	1.16	0.74-1.82	0.587
Intratumoral fat content	0.63	0.36-1.08	0.153
Intratumoral blood products	0.82	0.51-1.31	0.476
Peritumoral enhancement	1.32	0.85-2.04	0.295

OR: Odds ratio; ALT: Alanine aminotransferase; AST: Aspartate aminotransferase; TB: Total bilirubin; AFP: Alpha-fetoprotein; HBV: Hepatitis B virus; HCV: Hepatitis C virus; BCLC: Barcelona Clinical Liver Cancer; HCC: Hepatocellular carcinoma.