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Table 2 The performance of FA and MD in assessing cerebral white matter integrity

From: Diffusion tensor imaging of white matter integrity in relation to smoking index and exacerbations in severe chronic obstructive pulmonary disease

 

AUC

95% CI

Cut off point

Sensitivity (%)

Specificity (%)

PPV (%)

NPV (%)

Accuracy (%)

FA

 SLF

.853

.74–.96

.3705

76.7%

73.3%

85.2%

73.3%

75.5%

 IOFF

.892

.80–.98

.3995

80%

73.3%

85.7%

73.3%

77.8%

 UF

.896

.80–.98

.3245

80%

73.3%

85.7%

73.3%

77.8%

 CING

.912

.83–.99

.3445

83.3%

73.3%

86.2%

68.7%

80%

 OR

.897

.80–.98

.3990

83.3%

73.3%

86.2%

68.7%

80%

 GCC

.840

.72–.95

.5825

73.3%

73.3%

84.6%

57.9%

73.3%

 SCC

.893

.79–.99

.5900

76.7%

73.3%

85.2%

73.3%

75.5%

MD

 SLF

.991

.97–1.0

.8940

96.7%

86.7%

93.5%

92.8%

93.3%

 IOFF

.987

.96–1.0

.9020

93.3%

86.7%

93.3%

86.7%

91.1%

 UF

.980

.94–1.0

.9580

93.3%

86.7%

93.3%

86.7%

91.1%

 CING

.996

.98–1.0

.9145

100%

86.7%

93.7%

100%

95.5%

 OR

.923

.84–1.0

.9275

83.3%

86.7%

92.6%

72.2%

84.4%

 GCC

.899

.81–.98

.8865

80%

86.7%

92.3%

68.4%

82.2%

 SCC

.931

.85–1.0

.8680

90%

86.7%

93.1%

81.2%

88.9%

  1. Footnotes: AUC area under the curve, CI confidence interval, PPV positive predictive value, NPV negative predictive value