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Table 1 Characteristics of advanced NSCLC patients in the training and validation cohorts

From: Enhancing brain metastasis prediction in non-small cell lung cancer: a deep learning-based segmentation and CT radiomics-based ensemble learning model

Characteristic

Training Cohort

P Value

Validation Cohort1

P Value

Validation Cohort2

P Value

BM = 208

NonBM = 168

BM = 82

NonBM = 79

BM = 19

NonBM = 46

Sex

  

0.41

  

0.19

  

0.52

Male

111 (29.52)

96 (25.53)

49 (30.43)

39 (24.22)

12 (18.46)

25 (38.46)

Female

97 (25.80)

72 (19.15)

33 (20.50)

40 (24.85)

7 (10.77)

21 (32.31)

Age

57 ± 9.92

58 ± 9.86

0.97

57 ± 9.41

58 ± 11.06

0.61

64.±12.00

63 ± 9.16

0.23

Smoking

  

0.19

  

0.36

  

0.54

Current or Former

79 (21.01)

75 (19.95)

37 (22.98)

30 (18.63)

4 (6.15)

13 (20.00)

Never

129 (34.31)

93 (24.73)

45 (27.95)

49 (30.44)

15 (23.08)

33 (50.77)

Pathology

 

0.5

  

0.81

  

0.96

Adenocarcinoma

176 (46.81)

126 (33.51)

63 (39.13)

57 (35.40)

16 (24.62)

40 (61.54)

Squamous Cell Carcinoma

17 (4.52)

40 (10.64)

9 (5.59)

18 (11.18)

3 (4.62)

5 (7.69)

Others

15 (3.99)

2 (0.53)

10 (6.21)

4 (2.49)

0 (0.00)

1 (1.54)

CEA

30.65 ± 83.80

19.15 ± 60.17

0.12

14.32 ± 27.02

10.15 ± 18.41

0.26

53.34 ± 93.58

8.19 ± 14.98

0.003

CYFRA21-1

5.19 ± 8.18

5.98 ± 9.24

0.39

5.09 ± 6.88

4.93 ± 4.00

0.86

6.78 ± 7.15

6.20 ± 15.56

0.84

NSE

11.87 ± 9.03

12.34 ± 5.77

0.56

12.20 ± 8.69

12.03 ± 3.79

0.87

17.60 ± 7.56

13.31 ± 8.94

0.06

AFP

1.58 ± 2.00

1.88 ± 2.43

0.19

1.58 ± 1.60

2.36 ± 4.18

0.13

1.85 ± 1.58

1.54 ± 1.71

0.50

Thickness

1.77 ± 1.46

1.23 ± 0.80

< 0.001

1.36 ± 1.04

1.10 ± 0.47

0.045

1.53 ± 0.94

1.18 ± 0.38

0.04

Spacing

0.75 ± 0.06

0.77 ± 0.06

0.006

0.76 ± 0.06

0.76 ± 0.06

0.57

0.71 ± 0.03

0.69 ± 0.06

0.05