Variable | Threshold | Sensitivity | Specificity | Accuracy | AUC |
---|---|---|---|---|---|

TTP | 28.82 seconds | 65.3% | 77.9% | 76.5% | 0.76 |

rCBF | 22.10 | 60.0% | 72.9% | 71.5% | 0.73 |

ATD_{diff} | 0.87 seconds | 68.1% | 80.2% | 78.9% | 0.80 |

MTT_{diff} | 1.38 seconds | 56.2% | 74.5% | 72.5% | 0.69 |

Final model^{a} | 0.109^{b} | 74.2% | 80.0% | 79.4% | 0.84 |

↵a The final model consisted of TTP, rCBF, ATD

_{diff}, and MTT_{diff}as the independent variables and the presence of infarct as the outcome.↵b Equation of the final model: logit(P) = −3.9170 + 0.0601 × TTP − 0.0095 × rCBF + 0.4629 × ATD

_{diff}+ 0.0989 × MTT_{diff}where logit(*P*) = estimated log odds of infarction for a given voxel. If logit(*P*) is greater than the optimal threshold of 0.109, the voxel is classified as infarct.