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Table 4 Logistic regression analyses of ancillary features in LI-RADS v2018 for LR3/LR4 observations

From: Optimizing LI-RADS: ancillary features screened from LR-3/4 categories can improve the diagnosis of HCC on MRI

Variables

Univariable analysis

Multivariable analysis

Beta

OR (95%CI)

P

aBeta

aOR (95%CI)

aP

Nodule-in-nodule architecture

-16.78

0.00 (0.00 - Inf)

0.980

-16.81

0.00 (0.00 - Inf)

0.994

Nonenhancing “capsule”

-14.69

0.00 (0.00 - Inf)

0.987

   

Mosaic architecture

-1.53

0.22 (0.07–0.67)

0.038

-2.34

0.10 (0.01–0.69)

0.02

Blood products in mass

-17.87

0.00 (0.00 - Inf)

0.983

   

Fat in mass

-1.53

0.22 (0.07–0.67)

0.008

-2.42

0.09 (0.01–0.86)

0.036

Subthreshold growth

14.46

1903499.57 (0.00 - Inf)

0.987

   

Restricted diffusion

1.51

4.52 (2.52–8.10)

< 0.001

1.89

6.64 (2.70–16.30)

< 0.001

Mild–moderate T2 hyperintensity

1.44

4.23 (2.50–7.17)

< 0.001

0.18

1.19 (0.49–2.88)

0.695

Coronal enhancement

-0.61

0.54 (0.24–1.21)

0.135

   

Fat sparing

0.19

1.21 (0.55–2.67)

0.631

   

Iron sparing

-2.11

0.12 (0.01–1.00)

0.050

-2.04

0.13 (0.01–1.36)

0.089

Transitional-phase hypointensity

-1.04

0.35 (0.19–0.65)

< 0.001

-0.88

0.42 (0.06–3.10)

0.393

Hepatobiliary-phase hypointensity

-0.94

0.39 (0.22–0.70)

0.001

0.00

1.00 (0.14–7.13)

1.000

Parallels blood pool enhancement

1.58

4.85 (1.37–17.15)

0.014

0.57

1.76 (0.31–9.97)

0.521

Undistorted vessels

-1.75

0.17 (0.02–1.50)

0.111

   

Marked T2 hyperintensity

2.96

19.37 (4.55–82.38)

< 0.001

3.42

30.44 (4.52–205.11)

< 0.001

HBP isointensity

2.26

9.59 (2.84–32.42)

< 0.001

1.73

5.62 (1.39–22.73)

0.016