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Table 1 Results of univariate analysis of factors affecting general information about cerebral metastasis

From: The application of different machine learning models based on PET/CT images and EGFR in predicting brain metastasis of adenocarcinoma of the lung

Factors

brain metastases

χ2

P value

Not n(%)

Yes n(%)

gender

Male

Female

71(55.5)

57(44.5)

46(60.5)

30(39.5)

0.499

0.480

Age

≤ 60 years

>60 years

65(50.8)

63(49.2)

49(64.5)

27(35.5)

3.626

0.057

Location of the primary lesion

Left lung

Right lung

51(39.8)

77(60.2)

34(44.7)

42(55.3)

0.470

0.493

T stage

T1-2

T3-4

84(65.6)

44(34.4)

44(57.9)

32(42.1)

1.219

0.270

N stage

N0-1

N2-3

35(27.3)

93(72.7)

10(13.2)

66(86.8)

5.582

0.018

Other metastases(beside brain)

Yes

No

39(30.5)

89(69.5)

15(19.7)

61(80.3)

2.822

0.093

EGFR mutation

Yes

No

54(42.2)

74(57.8)

53(69.7)

23(30.3)

14.512

<0.001

WBC

≤ 10 × 109/L

>10 × 109/L

11(86.7)

17(13.3)

67(88.2)

9(11.8)

0.089

0.766

LYM

≤ 1.1 × 1012/L

>1.1 × 1012/L

21(16.4)

10(83.6)

19(25.0)

57(75.0)

2.234

0.135

LYM%

≤ 20%

>20%

42(32.8)

86(67.2)

36(47.4)

40(52.6)

4.278

0.039

NEU

≤ 6.3 × 109/L

>6.3 × 109/L

10(82.8)

22(17.2)

61(80.3)

15(19.7)

0.209

0.648

NRL

≤ 2.13

>2.13

36(28.1)

92(71.9)

27(35.5)

49(64.5)

1.224

0.269

  1. Note: Note: Categorical variables were expressed as n (%), and intergroup comparisons were made using the χ2 test. The differences in N stage, EGFR mutation status and LYM% between the two groups were significant, with a statistically significant P < 0.05