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Table 3: ROC curve analysis of visual and automated collateral measured for discriminating good tissue outcome (FIV < 90 mL and PPS > 50%)
Collateral Measure Final Infarct <90 mL Penumbra Saved >50%
AUC (± SE) P Optimal Criterion Youden Index Sens. (%) Spec. (%) AUC (± SE)^{^a} P Optimal Criterion Youden Index Sens. (%) Spec. (%)
Visual scoring (CS) 
    CE-MRA .81 (.07) <.01^{^b} ≥1 .53 86.2 66.7 .67 (.10) .04^{^b} >1 .27 36.4 90.9
    TOF .53 (.02) .15 ≥1 – – – .53 (.05) .52 – – – –
    TOF + CE-MRA .81 (.07) <.01^{^b} ≥1 .53 86.2 66.7 .65 (.10) .16 – – – –
Atlas-based collateral index (CI) 
    CE-MRA .94 (.04) <.01^{^b} >.68 .76 89.7 86.7 .83 (.10) <.01^{^b} >.64 .70 87.9 81.8
    TOF .74 (.08) .01^{^b} >.37 .43 75.9 66.7 .86 (.06) <.01^{^b} >.38 .58 75.8 81.8
    TOF + CE-MRA .95 (.03) <.01^{^b} >1.13 .80 86.2 93.3 .89 (.08) <.01^{^b} >1.05 .76 84.9 9.9
Note:—Sens. indicates sensitivity; Spec., specificity.
↵a AUC indicates area under the ROC curve with associated significance level P. Optimal criterion defines collateral parameter cutoff for maximized sensitivity and specificity by the Youden index.
↵b Significant.