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Table 3 Correlation between radiographic features and pathology

From: Solid component proportion is an important predictor of tumor invasiveness in clinical stage T1N0M0 (cT1N0M0) lung adenocarcinoma

Radiographic features

Invasive adenocarcinoma

Non-invasive adenocarcinoma

χ2/t

P

HRCT

283 (n)

92 (n)

  

 Sizea

2.04±0.55

1.55 ± 0.51

−7.601

< 0.001

 Location

  

0.295

0.587

  Centre

50

14

  Periphery

233

78

 Contour

  

48.04

< 0.001

  Smooth

36

40

  Lobular

143

42

  Spiculated

104

10

 Necrosis

  

9.415

0.002

  Yes

33

1

  No

250

91

 Vacuole sign or cyst/cavity

  

16.346

< 0.001

  No

172

77

  Vacuole sign

89

12

  Cyst/cavity

22

3

Computer-quantified CT number analysis

283 (n)

92 (n)

  

 GGOc proportiona

(14 ± 17) %

(44 ± 29) %

9.461

< 0.001

 Sc proportiona

(56 ± 30) %

(14 ± 21) %

−14.822

< 0.001

PET/CT

137 (n)

10 (n)

  

 SUVmaxa

3.75 ± 2.85

1.54 ± 2.41

−2.21

0.018

  1. Note. Unless otherwise indicated, the data are the number of patients. a The data are presented as the means ± standard deviation. HRCT, high-resolution computer tomography; GGOc, glass-ground-opacity component; Sc, solid component; PET, positron emission tomography; SUV, standard uptake value