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. 2020 Oct 29;11:545450. doi: 10.3389/fneur.2020.545450

Table 2.

Results of ROC curve analyses for discriminating microvessel parameters in SVaD from those in controls.

WMH-SVaD vs. PVWM-control WMH-SVaD vs. DWM-control NAWM-SVaD vs. PVWM-control NAWM-SVaD vs. DWM-control
Parameter AUC 95% CI AUC 95% CI AUC 95% CI AUC 95% CI
BVf 0.563 0.472–0.650 0.683 0.595–0.762 0.66 0.571–0.741 0.509 0.416–0.602
Q 0.562 0.472–0.650 0.556 0.466–0.644 0.628 0.539–0.712 0.549 0.539–0.712
mVD 0.792a 0.711–0.859 0.861c 0.789–0.916 0.737 0.648–0.813 0.815e 0.734–0.880
VSI 0.864b 0.793–0.918 0.877d 0.807–0.928 0.735 0.647–0.811 0.761f 0.674–0.834

WMH, white matter hyperintensity; NAWM, normal appearing white matter; SVaD, subcortical vascular dementia; AUC, area under curve; SE, standard error; CI, confidence interval.

a

Cutoff value, 2.863 μm; Sensitivity, 76.8; Specificity, 72.2.

b

Cutoff value, 6.520 μm; Sensitivity, 82.1; Specificity, 76.4.

c

Cutoff value, 2.377 μm; Sensitivity, 89.3; Specificity, 68.6.

d

Cutoff value, 6.960 μm; Sensitivity, 78.6; Specificity, 83.3.

e

Cutoff value, 2.477 μm; Sensitivity, 81.3; Specificity, 73.6.

f

Cutoff value, 6.575 μm; Sensitivity, 68.8; Specificity, 76.4.