Skip to main content

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