Table 4 Multivariable logistic regression analysis for diagnosis of LNM + group

Intercept

-1.878

0.441

18.177

0.153(0.063,0.355)

< 0.001

LVI (Present vs. Absent)

0.992

0.291

11.658

2.697(1.533,4.804)

0.001

Posterior features (No features is the reference group)

 Enhancement

-2.010

0.757

7.045

0.134(0.021,0.478)

0.008

 Shadowing

1.230

0.763

2.597

3.422(0.789,17.615)

0.107

 Combined pattern

0.102

0.500

0.041

1.107(0.407,2.96)

0.839

Emax

0.009

0.003

9.334

1.009(1.003,1.015)

0.002