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Table 1 Clinical and demographic characteristics of lung cancer patients

From: Clinico-biological-radiomics (CBR) based machine learning for improving the diagnostic accuracy of FDG-PET false-positive lymph nodes in lung cancer

Characteristics

Total (n = 260)

LN− (n = 109)

LN + (n = 151)

Gender

   

 Male

205 (78.85)

85 (77.98)

120 (79.47)

 Female

55 (21.15)

24 (22.02)

31 (20.53)

Age (mean ± SD, y)

62.15 ± 8.62

64.94 ± 6.98

60.10 ± 9.12

Tumor histological type

   

 ADC

145 (55.77)

56 (51.37)

89 (58.94)

 SCC

96 (36.92)

48 (44.04)

48 (31.79)

 Others

19 (7.31)

5 (4.59)

14 (9.27)

T stage

   

 T1

126 (48.46)

66 (60.55)

60 (39.73)

 T2

83 (31.92)

26 (23.85)

57 (37.75)

 T3

34 (13.08)

13 (11.93)

21 (13.91)

 T4

17 (6.54)

4 (3.67)

13 (8.61)

N stage

   

 N0

109 (41.92)

109 (100)

0

 N1

53 (20.38)

0

53 (35.10)

 N2

98 (37.69)

0

98 (64.90)

  1. Data in parentheses are percentages unless otherwise noted. LN−  lymph node negative, LN+  lymph node positive, ADC adenocarcinoma, SCC  squamous cell carcinoma, SD  standard deviation, T  tumor, N  node