Table 3 Logistic regression analysis for grade ≥ 2 RP

SUV_max

0.16

0.095

1.2 (0.97, 1.4)

0.10

SUV_mean

0.34

0.15

1.4 (1.1, 1.9)

<0.02 ^a,b

SUV_SD¹

1.5

0.54

4.4 (1.5, 12.8)

<0.0057 ^a,b

SUV₈₀¹

0.31

0.13

1.4 (1.1, 1.7)

<0.013 ^a,b

SUV₉₀¹

0.33

0.12

1.4 (1.1, 1.7)

<0.0061 ^a,b

SUV₉₅¹

0.33

0.12

1.4 (1.1, 1.7)

<0.0049 ^a,b

HU_max²

0.013

0.02

1 (0.97, 1.1)

0.51

HU_mean²

-0.09

0.34

0.91 (0.47, 1.8)

0.79

HU_sd²

-0.18

0.93

0.83 (0.14, 5.1)

0.85

HU₈₀²

-0.07

0.37

0.93 (0.46, 1.9)

0.85

HU₉₀²

-0.10

0.32

0.91 (0.48, 1.7)

0.76

HU₉₅²

-0.10

0.32

0.91 (0.48, 1.7)

0.76

MLD³

0.88

0.58

2.4 (0.78, 7.5)

0.13

V₅³

0.15

0.53

1.2 (0.41, 3.3)

0.77

V₁₀³

0.58

0.55

1.8 (0.6, 5.3)

0.30

V₂₀³

1.1

0.63

3 (0.87, 10.5)

0.081

V₃₀³

1.2

0.57

3.3 (1.1, 10.3)

0.035

FEV1(%)²

-0.13

1

0.88 (0.12, 6.6)

0.897

DLCO(%)²

-1.2

1.1

0.31 (0.034, 2.9)

0.31