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. 2020 Mar 30;30(1):52–58. doi: 10.4103/ijri.IJRI_265_19

Table 3.

Predictive accuracy of different parameters of cerebral blood flow velocity in the internal carotid artery, middle cerebral artery, and vertebral artery

Parameter Area under the curve (AUC) Cut-off Sensitivity Specificity Positive predictive value Negative predictive value Diagnostic accuracy (%) Likelihood ratio (LR)+ LR_
PSV ICA 0.967 ≥39.5 98.1 68.1 70.7 97.9 81.30 3.07 0.44
EDV ICA 0.988 ≥8.52 100 65.2 69.2 100 88.48 2.873 -0.533
RI ICA 0.945 ≤0.73 94.4 87 85 95.2 90.4 7.261 -0.085
PI ICA 0.998 ≤1.25 100 95.7 94.7 100 97.5 23.25 -0.04
PSV MCA 0.994 ≥31.4 100 91.3 90 100 95.12 11.49 -0.095
EDV MCA 0.982 ≥7.64 98.1 88.4 86.9 98.4 92.6 8.456 -0.109
RI MCA 0.936 ≤0.76 92.6 65.2 67.6 91.8 77.23 2.66 -0.420
PI MCA 0.995 ≤1.15 98.1 98.6 98.1 98.6 98.37 70.071 0.005
PSV VA 0.999 ≥29 100 98.6 98.2 100 99.18 71.42 0
EDV VA 0.969 ≥4.36 96.3 72.5 73.2 96.2 82.92 3.501 -0.328
RI VA 0.802 ≤0.80 81.5 66.7 65.7 82.1 73.17 2.44 -0.221
PI VA 1.000 ≤1.22 100 100 100 100 100 0