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Table 2 The features involved in prognostic models of OS, RFS and LR-RFS

From: CT imaging features associated with recurrence in non-small cell lung cancer patients after stereotactic body radiotherapy

 

Features

Level

p-value

Hazard Ratio

validation

Point

95% CI

Logistic regression

5-fold cross validation

Lower

Upper

AUC (95% CI)

AUC (95% CI)

OS

ECOG (ref = 0 or 1)

2 or 3

0.02

3.13

1.17

8.41

0.88 (0.78–0.97)

0.81 (0.80–0.82)

Vascular involvement (ref = 0)

1

0.01

3.21

1.29

8.03

Lymphadenopathy (ref = 0)

1

0.00

3.59

1.58

8.16

PC1a

 

0.04

1.24

1.02

1.51

RFS

Vascular involvement (ref = 0)

1

0.01

3.06

1.40

6.70

0.86 (0.76–0.96)

0.80 (0.792–0.81)

Vascular attachment (ref = 0)

1

0.00

3.46

1.65

7.25

Pleural retraction (ref = 0)

1

0.01

3.24

1.41

7.42

Lymphadenopathy (ref = 0)

1

<.00

6.41

2.58

15.90

Relative enhancementa

 

0.05

1.40

1.00

1.96

LR-RFS

F13 (9b_3D_Circularity)a

 

0.02

1.60

1.10

2.32

0.85 (0.74–0.95)

0.80 (0.78–0.81)

F92 (3D Laws features L5 L5 S5 Layer 1)a

 

0.00

1.96

1.35

2.83

Vascular involvement (ref = 0)

1

<.00

4.96

2.23

11.03

Lymphadenopathy (ref = 0)

1

0.02

2.64

1.19

5.82

  1. a: per 1standard deviation (SD) increase
  2. ECOG, Eastern cooperative oncology group; PC1: the 1st principle component