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Table 4 Baseline data between the training and validation group

From: Clinical-radiological predictive model in differential diagnosis of small (≤ 20 mm) solitary pulmonary nodules

 

Training (n = 250)

Validation (n = 101)

P value

Gender (male/female)

141/109

49/52

0.180

Age (y)

60.9

61.4

0.723

Smoking history

110

43

0.807

Malignant history

6

2

1.000

CT features

Diameter (mm)

15.6

15.9

0.534

Lobulation

163

62

0.500

Spiculation

157

67

0.532

Pleural retraction sign

92

36

0.839

CT bronchus sign

138

58

0.704

Calcification

12

2

0.264

Mediastinal/hilar lymph nodule ≥ 10 mm

52

24

0.542

Lobes

  

0.705

Upper

107

41

 

Non-upper

143

60

 

Sides

  

0.390

Left

121

54

 

Right

129

47

 

Tumor markers

CEA (ug/L)

3.3

3.2

0.886

Cyfra21-1 (ng/ml)

2.5

2.4

0.604

SCC (ug/L)

1.3

1.4

0.614

NSE (ng/ml)

13.2

13.1

0.890

Final diagnoses

  

0.865

Malignant

156

64

 

Benign

94

37

 
  1. CEA: Carcinoembryonic antigen; CT: Computed tomography; NSE: Neuron-specific enolase; SCC: Squamous cell carcinoma antigen