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Table 3 Results of ROC curves assessing the accuracy of clinical and imaging factors in predicting IA versus AIS / MIA

From: Identification of preoperative prediction factors of tumor subtypes for patients with solitary ground-glass opacity pulmonary nodules

variable

Area

95% CI

Sensitivity

Specificity

Cut-off vale

p value

Tumor size

0.87

(0.83,0.91)

0.86

0.72

1.35

<0.0001

Age

0.59

(0.53,0.65)

0.57

0.59

58.50

0.005816

History of family cancer

0.55

(0.49,0.61)

0.74

0.36

0.66

0.1148

CEA

0.62

(0.56,0.68)

0.54

0.65

1.97

0.00020

GGO type

0.72

(0.66,0.77)

0.71

0.73

0.66

<0.0001

Bubble-like sign

0.58

(0.53,0.64)

0.35

0.83

0.63

0.00100

Five-factor combination

0.91

(0.88,0.94)

0.82

0.87

0.69

<0.0001

  1. Five factors including tumor size, age, serum CEA level, GGO type and Bubble-like sign