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Table 2 Performance measures for the various multivariate models to identify COPD

From: Diagnosis of chronic obstructive pulmonary disease in lung cancer screening Computed Tomography scans: independent contribution of emphysema, air trapping and bronchial wall thickening

 

Model

TP

FN

TN

FP

ACC

SENS

SPEC

PPV

NPV

  

(n)

(n)

(n)

(n)

(%)

(%)

(%)

(%)

(%)

1

Baseline model *

125

312

630

73

66.2

28.6

89.6

63.1

66.9

2

+ CT-BWT

185

252

637

66

72.1

42.3

90.6

73.7

71.7

3

+ CT air trapping

317

120

495

208

71.2

72.5

70.4

60.4

80.5

4

+ CT emphysema

229

208

619

84

74.4

52.4

88.1

73.2

74.8

5

+ CT-BWT

237

200

624

79

75.5

54.2

88.8

75.0

75.7

+ CT air trapping

6

+ CT emphysema

274

163

618

85

78.2

62.7

87.9

76.3

79.1

+ CT air trapping

7

+ CT emphysema

309

128

610

93

80.6

70.7

86.8

76.9

82.7

+ CT-BWT

8

+ CT emphysema

320

117

624

79

82.8

73.2

88.8

80.2

84.2

 

+ CT-BWT

         
 

+ CT air trapping

         
  1. * Model including age, body mass index, smoking status and packyears of smoking history; TP = true positive; FN = false negative; TN = true negative; FP = false positive; ACC = Accuracy; SENS = Sensitivity; SPEC = Specificity; PPV = Positive predicted value; NPV = Negative predictive value; CT-BWT = Quantitatively assessed bronchial wall thickness.