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Table 2 Univariate and multivariate regression analyses between early recurrence and non-recurrence groups in the training cohort

From: Hepatocellular carcinoma: radiomics nomogram on gadoxetic acid-enhanced MR imaging for early postoperative recurrence prediction

Intercept and variables Univariate analysis   Multivariate analysis  
β Odd ratios (95%CI) P β Odd ratios (95%CI) P
Intercept 1.599 < 0.001*
AFP level 1.918 6.809 (2.984–16.419) 0.000* 1.621 2.112 (0.488–9.974) < 0.001*
Tumour size 0.905 2.472 (1.149–5.438) 0.021*
Multifocality 1.067 2.908 (1.274–6.912) 0.012*
Gross vascular invasion 1.408 4.090 (1.778–9.923) 0.001* 1.211 3.356 (1.308–9.023) 0.013*
Non-smooth tumour margin 1.159 3.189 (1.446–7.271) 0.004* 1.006 2.735 (1.104–6.989) 0.031*
Peritumoural hypointensity on HBP images 0.865 2.376 (1.097–5.271) 0.036*
Peritumoural enhancement 1.136 3.116 (1.436–6.955) 0.004*
Radiomics score 1.000 2.718 (1.691–4.370) 0.000* 0.889 2.433 (1.436–4.473) 0.002*
  1. Significant variables with P < 0.05 in the univariate analysis were included in the multivariate logistic regression analysis
  2. AFP alpha-fetoprotein, CI confidence internal
  3. β is the regression coefficient. * P value < 0.05