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Table 3 Logistic regression analyses of ancillary features in LI-RADS v2018 for all lesions

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

-1.40

0.25 (0.10–0.59)

0.002

-1.34

0.26 (0.06–1.13)

0.073

Nonenhancing “capsule”

-13.92

0.00 (0.00 - Inf)

0.978

   

Mosaic architecture

-17.04

0.00 (0.00 - Inf)

0.979

   

Blood products in mass

-17.11

0.00 (0.00 - Inf)

0.974

   

Fat in mass

0.83

2.29 (1.35–3.86)

0.002

   

Subthreshold growth

14.22

1505228.15 (0.00 - Inf)

0.979

   

Restricted diffusion

1.59

4.92 (3.11–7.78)

< 0.001

1.81

6.11 (2.56–14.61)

< 0.001

Mild–moderate T2 hyperintensity

-0.05

0.96 (0.51–1.80)

0.888

1.57

4.79 (1.62–14.14)

0.005

Coronal enhancement

1.45

4.27 (2.81–6.49)

< 0.001

   

Fat sparing

0.10

1.11 (0.58–2.11)

0.756

   

Iron sparing

-2.10

0.12 (0.02–0.94)

0.043

-2.03

0.13 (0.01–1.18)

0.070

Transitional-phase hypointensity

-1.26

0.28 (0.16–0.49)

< 0.001

-0.95

0.39 (0.16–0.92)

0.032

Hepatobiliary-phase hypointensity

0.69

1.99 (1.20–3.29)

0.007

   

Parallels blood pool enhancement

2.35

10.48 (2.99–36.75)

< 0.001

   

Undistorted vessels

-1.78

0.17 (0.02–1.32)

0.090

-1.74

0.18 (0.02–1.70)

0.133

Marked T2 hyperintensity

3.34

28.29 (8.55–93.66)

< 0.001

2.96

19.22 (3.38–109.24)

< 0.001

HBP isointensity

2.50

12.24 (4.61–32.47)

< 0.001

1.72

5.57 (1.44–21.56)

0.013