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Research ArticleBrain

Toward Patient-Tailored Perfusion Thresholds for Prediction of Stroke Outcome

A. Eilaghi, C.D. d'Esterre, T.Y. Lee, R. Jakubovic, J. Brooks, R.T.-K. Liu, L. Zhang, R.H. Swartz and R.I. Aviv
American Journal of Neuroradiology March 2014, 35 (3) 472-477; DOI: https://doi.org/10.3174/ajnr.A3740
A. Eilaghi
aFrom the Robarts Research Institute (A.E., C.D.d., T.Y.L.), University of Western Ontario, London, Ontario, Canada
bDepartment of Medical Imaging (A.E., R.J., J.B., R.T.-K.L., R.I.A.)
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C.D. d'Esterre
aFrom the Robarts Research Institute (A.E., C.D.d., T.Y.L.), University of Western Ontario, London, Ontario, Canada
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T.Y. Lee
aFrom the Robarts Research Institute (A.E., C.D.d., T.Y.L.), University of Western Ontario, London, Ontario, Canada
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R. Jakubovic
bDepartment of Medical Imaging (A.E., R.J., J.B., R.T.-K.L., R.I.A.)
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J. Brooks
bDepartment of Medical Imaging (A.E., R.J., J.B., R.T.-K.L., R.I.A.)
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R.T.-K. Liu
bDepartment of Medical Imaging (A.E., R.J., J.B., R.T.-K.L., R.I.A.)
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L. Zhang
cOdette Cancer Centre (L.Z.)
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R.H. Swartz
dDepartment of Neurology (R.H.S.), Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada.
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R.I. Aviv
bDepartment of Medical Imaging (A.E., R.J., J.B., R.T.-K.L., R.I.A.)
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    Fig 1.

    Admission CBF (A) and 7-day follow-up FLAIR (B) of a 74-year-old man with an ICA and M1 branch occlusion scanned 168 minutes after symptom onset and administered intravenous rtPA. The region of abnormality on follow-up FLAIR is coregistered to CBF and thresholded on the basis of without (C) and with covariate (D) thresholds from Table 1. Red voxels present predicted infarct, and cyan voxels present predicted noninfarct tissues on C and D. E, A subtraction of C and D representing voxels that were designated as infarcted tissue (green) and noninfarcted (pink, very few mainly located adjacent to blood vessels on E) only on the model with covariates.

Tables

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    Table 1:

    Model performance without and with baseline clinical covariates for distinguishing infarct from noninfarct regions for the best performing perfusion parametersa

    In All PatientsCutoff ValueAccuracyAICP Value
    CBF-GM-Rel
        A) Without any covariate0.640.882465.9
        B) With covariates0.780.912401.4<.0001b
    CBF-WM-Rel
        A) Without any covariate0.800.852693.6
        B) With covariates0.870.862593.6<.0001b
    Tmax-GM-Abs
        A) Without any covariate6.00.841377.8
        B) With covariates4.40.881358.5.0113b
    Tmax-WM-Abs
        A) Without any covariate5.90.791251.5
        B) With covariates3.70.801232.1.0108b
    • Note:—Rel indicates relative to the contralateral side; Abs, absolute value; AIC, Akaike Information Criterion.

    • ↵a Remaining parameters are presented in On-line Table 2.

    • ↵b Significant.

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    Table 2:

    Performance of selected nontransformed (model A) and covariate transformed (model B) perfusion thresholds for tissue fate prediction in derivation and validation data bases

    Perfusion ParameterDerivation Data BaseValidation Data Base
    Sens.Spec.Acc.Sens.Spec.Acc.
    CBF-GM-Rel
        A) Without any covariate0.880.890.880.7210.82
        B) With covariates0.890.930.910.7810.86
    CBF-WM-Rel
        A) Without any covariate0.860.840.850.760.950.82
        B) With covariates0.900.800.860.790.910.83
    Tmax-GM-Abs
        A) Without any covariate0.800.920.840.700.930.78
        B) With covariates0.840.960.880.690.970.79
    Tmax-WM-Abs
        A) Without any covariate0.760.850.790.700.880.76
        B) With covariates0.800.800.800.640.940.76
    • Note:—Rel indicates relative to the contralateral side; Abs, absolute value; Sens, sensitivity; Spec, specificity; Acc, accuracy.

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    Table 3:

    Selected model performance without and with clinical covariates for good clinical outcome predictiona

    In All PatientsAICG2P Value
    CBF-GM-Rel
        Null model291.5–
            A) Without any covariate291.71.796.1803
            B) With covariates291.32.247.1338
    CBF-WM-Rel
        Null model282.5–
            A) Without any covariate280.44.080.0434
            B) With covariates268.915.613<.0001b
    Tmax-GM-Abs
        Null model291.5–
            A) Without any covariate291.32.255.1332
            B) With covariates285.48.116.0044b
    Tmax-WM-Abs
        Null model282.5–
            A) Without any covariate280.93.643.0563
            B) With covariates266.218.328<.0001b
    • Note:—Rel indicates relative to the contralateral side; Abs, absolute value; AIC, Akaike Information Criterion; G2, the difference between −2 L of the fitted model (transformed threshold) and the reference model (nontransformed threshold).

    • ↵a Remaining parameters are presented in On-line Table 3.

    • ↵b Significant.

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American Journal of Neuroradiology: 35 (3)
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Cite this article
A. Eilaghi, C.D. d'Esterre, T.Y. Lee, R. Jakubovic, J. Brooks, R.T.-K. Liu, L. Zhang, R.H. Swartz, R.I. Aviv
Toward Patient-Tailored Perfusion Thresholds for Prediction of Stroke Outcome
American Journal of Neuroradiology Mar 2014, 35 (3) 472-477; DOI: 10.3174/ajnr.A3740

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Toward Patient-Tailored Perfusion Thresholds for Prediction of Stroke Outcome
A. Eilaghi, C.D. d'Esterre, T.Y. Lee, R. Jakubovic, J. Brooks, R.T.-K. Liu, L. Zhang, R.H. Swartz, R.I. Aviv
American Journal of Neuroradiology Mar 2014, 35 (3) 472-477; DOI: 10.3174/ajnr.A3740
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