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Table 3 Correlation between CAC counts and PNAIDS with other Categorical variables

From: Diagnostic value of circulating genetically abnormal cells to support computed tomography for benign and malignant pulmonary nodules

Variables

CAC counts < 3 (n = 36)

CAC counts ≥ 3 (n = 57)

x2 a

P

PNAIDS < 70% (n = 34)

PNAIDS ≥ 70% (n = 59)

x2 a

P

Gender, n (%)

0.152

0.697

 

1.431

0.232

  Male

16 (44.4%)

23 (40.4%)

  

17 (50.0%)

22 (37.3%)

  

  Female

20 (55.6%)

34 (59.6%)

  

17 (50.0%)

37 (62.7%)

  

Family history of cancer, n (%)

0.207

0.649

 

0.431

0.512

  Yes

7 (19.4%)

9 (15.8%)

  

7 (20.6%)

9 (15.3%)

  

  No

29 (80.6%)

48 (84.2%)

  

27 (79.4%)

50 (84.7%)

  

Type of nodule, n (%)

0.224

0.894

 

6.692

0.035

  Solid nodule

15 (41.7%)

21 (36.8%)

  

19 (55.9%)

17 (28.8%)

  

  pure GGN

12 (33.3%)

21 (36.8%)

  

9 (26.5%)

24 (40.7%)

  

  mixed GGN

9 (25.0%)

15 (26.3%)

  

6 (17.6%)

18 (30.5%)

  

Solitary nodule, n (%)

0.075

0.784

 

0.348

0.555

  Yes

13 (36.1%)

19 (33.3%)

  

13 (38.2%)

19 (32.2%)

  

  No

23 (63.9%)

38 (66.7%)

  

21 (61.8%)

40 (67.8%)

  

Spiculation, n (%)

0.317

0.573

 

2.494

0.114

  Yes

26 (72.2%)

38 (66.7%)

  

20 (58.8%)

44 (74.6%)

  

  No

10 (27.8%)

19 (33.3%)

  

14 (41.2%)

15 (25.4%)

  

Location of nodule, n (%)

1.953

0.162

 

2.547

0.110

  Upper lobe

26 (72.2%)

33 (57.9%)

  

18 (52.9%)

41 (69.5%)

  

  Non-upper lobe

10 (27.8%)

24 (42.1%)

  

16 (47.1%)

18 (30.5%)

  
  1. a The statistic of the Chi-square test