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Table 1 General clinical characteristics

From: The CT-based intratumoral and peritumoral machine learning radiomics analysis in predicting lymph node metastasis in rectal carcinoma

 

Training cohort (n = 551)

Validation cohort (n = 237)

P-value

 

LNM

non-LNM

LNM

non-LNM

 

Gender

    

0.662

 Male (%)

135(24.50%)

226(41.02%)

54(22.78%)

84(35.44%)

 

 female (%)

77(13.97%)

113(20.51%)

37(15.61%)

62(26.16%)

 

Age

63.18 ± 10.61

63.13 ± 11.45

62.42 ± 14.03

64.55 ± 12.02

0.481

Diameter (mean ± SD, cm)

3.95 ± 1.44

3.77 ± 1.58

3.85 ± 1.10

3.58 ± 1.45

0.048

Location

    

0.262

 low (%)

46(8.35%)

80(14.52%)

17(7.11%)

38(16.03%)

 

 medium (%)

80(14.52%)

143(25.95%)

34(14.35%)

49(20.68%)

 

 high (%)

86(15.61%)

116(21.05%)

40(16.88%)

59(24.89%)

 

PNI (%)

93(16.88%)

71(12.89%)

36(15.19%)

34(14.35%)

0.000

EMVI (%)

152(27.59%)

69(12.52%)

67(28.27%)

41(17.30%)

0.000

MSI (%)

27(4.90%)

47(8.53%)

10(4.22%)

13(5.49%)

0.947

CEA (mean ± SD,µg/L)

60.17 ± 416.98

6.62 ± 12.92

22.87 ± 49.47

5.35 ± 9.98

0.034

CA19−9 (mean ± SD,U/mL)

61.86 ± 205.40

20.20 ± 90.44

36.30 ± 79.22

22.40 ± 74.61

0.002

Diabetes (%)

22(3.99%)

41(7.44%)

14(5.91%)

15(6.33%)

0.887

Hypertension (%)

67(12.16%)

135(24.50%)

36(15.19%)

44(18.57%)

0.406

Smoking (%)

40(7.26%)

73(13.25%)

17(7.17%)

25(10.55%)

0.632

Drinking (%)

27(4.90%)

58(10.53%)

11(4.64%)

24(10.13%)

0.097