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Table 1 Characteristics of patients in the training and test datasets

From: Can computed tomography-based radiomics potentially discriminate between anterior mediastinal cysts and type B1 and B2 thymomas?

Characteristics

Training dataset (N = 130)

Test dataset (N = 58)

AMC (N = 74)

Thymoma (N = 56)

P

AMC (N = 32)

Thymoma (N = 26)

P

Age (years)

54.19 ± 8.05

50.71 ± 9.17

0.110

55.81 ± 9.52

44.62 ± 13.04

0.013

Gender

  

0.213

  

0.577

 Male

34(45.9%)

18(32.1%)

 

20 (62.5%)

12 (46.2%)

 

 Female

40 (54.1%)

38 (67.9%)

 

12(37.5%)

14 (53.8%)

 

Primary site

  

0.301

  

0.041

 Left

44 (59.5%)

30 (53.6%)

 

22 (68.7%)

18 (69.2%)

 

 Right

30 (40.5%)

26 (46.4%)

 

10 (31.3%)

8 (30.8%)

 

Lesion size (cm)

2.72 ± 1.40

3.41 ± 1.26

0.043

2.60 ± 1.34

3.52 ± 1.24

0.069

Unenhanced CT value

33.14 ± 17.59

43.34 ± 9.76

0.004

27.90 ± 17.14

38.06 ± 9.21

0.053

Enhanced CT value

35.26 ± 18.19

67.74 ± 16.34

0.000

34.40 ± 20.04

57.07 ± 16.61

0.003

Change of CT value

2.13 ± 12.45

24.40 ± 12.67

0.000

6.50 ± 14.68

19.01 ± 13.25

0.025

Radscore

− 2.52 ± 2.22

2.30 ± 2.72

0.000

− 2.41 ± 1.77

1.96 ± 2.66

0.000

  1. Bold indicates p values below 0.05 were considered significant in both training and test datasets
  2. Continuous variables: represented as mean ± standard deviation (SD); Chi-square test or Fisher’s exact test [number and percentage (%)]
  3. CT computed tomography, HU Hounsfield unit, change of CT value enhanced CT value − unenhanced CT value, AMC anterior mediastinal cysts
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