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Research ArticlePediatric Neuroimaging

Computer-Assisted Volumetric Measurement of Core Infarct Volume in Pediatric Patients: Feasibility for Clinical Use and Development of Quantitative Metrics for Outcome Prediction

C.G. Filippi, A.M. El-Ali, V.Z. Miloushev, D.S. Chow, X. Guo and B. Zhao
American Journal of Neuroradiology April 2015, 36 (4) 789-794; DOI: https://doi.org/10.3174/ajnr.A4183
C.G. Filippi
aFrom the Department of Radiology, Columbia University Medical Center, New York, New York.
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A.M. El-Ali
aFrom the Department of Radiology, Columbia University Medical Center, New York, New York.
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V.Z. Miloushev
aFrom the Department of Radiology, Columbia University Medical Center, New York, New York.
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D.S. Chow
aFrom the Department of Radiology, Columbia University Medical Center, New York, New York.
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X. Guo
aFrom the Department of Radiology, Columbia University Medical Center, New York, New York.
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B. Zhao
aFrom the Department of Radiology, Columbia University Medical Center, New York, New York.
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  • Fig 1.
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    Fig 1.

    A, Reduced diffusivity within the right putamen consistent with an area of acute infarction. B, The contour derived from the semiautomated computer segmentation software that is used to derive infarct volume.

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    Fig 2.

    Graphic representation of the correlation of core infarct volume and percentage brain infarction with the Pediatric Stroke Outcome Measure. TBV indicates total brain volume.

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    Fig 3.

    A and B, CAV segmentation results from patients in good and poor outcome groups, respectively. C and D, Manual segmentation results from the same respective patients.

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    Table 1:

    Demographics of patients

    VariableNo. (%)
    Sex
        Male12 (52.2)
        Female11 (47.8)
    Ethnicity (No., %)
        White4 (17.4)
        Black2 (8.7)
        Asian0 (0.0)
        Hispanic2 (8.7)
        Other15 (65.2)
    Stroke risk factors (No., %)
        No risk factors5 (21.7)
        Single risk factors11 (47.8)
        Multiple risk factors7 (30.4)
    Risk factor distributiona (No., %)
        Hematologic9 (39.1)
        Vascular7 (30.4)
        Cardiac4 (17.4)
        Infection3 (11.1)
        Ingestion1 (4.3)
        Metabolic1 (4.3)
    Therapy (No., %)
        Anticoagulation4 (17.4)
        Antiplatelet9 (39.1)
        Anticonvulsant14 (60.9)
        Surgery3 (13.0)
    • ↵a Patients may have >1 risk factor.

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    Table 2:

    Patient outcomes and stroke characteristics

    Outcome Measures(No.) (%)
    Gooda5 (21.7)
    Poorb18 (78.3)
    Mortality5 (21.7)
    Infarct circulation
        Anterior circulation only20 (87.0)
        Posterior circulation only0 (0)
        Both circulations3 (13.0)
    Infarct involvement
        Bilateral11 (47.8)
        ACA8 (34.8)
        MCA23 (100.0)
        PCA12 (52.2)
        Basal ganglia9 (39.1)
    • Note:—ACA indicates anterior cerebral artery; PCA, posterior cerebral artery.

    • ↵a “Good outcome” defined as healthy or mild disability using the Pediatric Stroke Outcome Measure.

    • ↵b “Poor outcome” defined as moderate or severe disability using the Pediatric Stroke Outcome Measure or death.

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    Table 3:

    Stroke characteristics and patient outcomes

    CategoryMeanRange95% Confidence IntervalStandard Error
    Lower LimitUpper Limit
    Total brain volume (mL)936.6392.0–1387.0815.71057.561.67
    Stroke volume (mL)60.90.1–229.031.790.014.88
    Stroke volume (%)8.20.1–48.43.612.92.35
    Good outcomea
        Stroke volume (mL)7.40.08–31.630.9726.125.48
        Stroke volume (%)0.60.01–2.640.052.120.45
    Poor outcomeb
        Stroke volume (mL)75.70.40–229.0047.28115.4316.80
        Stroke volume (%)10.40.05–48.426.3517.572.71
    • ↵a “Good outcome” defined as healthy or mild disability using the Pediatric Stroke Outcome Measure.

    • ↵b “Poor outcome” defined as moderate or severe disability using the Pediatric Stroke Outcome Measure or death.

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    Table 4:

    Infarct volume versus Pediatric Stroke Outcome Measure

    Regression CoefficientaStandard ErrorP Value
    Infarct by percentage0.1500.067.039
    Infarct by absolute volume0.0280.010.011
    • ↵a Coefficient calculated with linear regression.

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American Journal of Neuroradiology: 36 (4)
American Journal of Neuroradiology
Vol. 36, Issue 4
1 Apr 2015
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Cite this article
C.G. Filippi, A.M. El-Ali, V.Z. Miloushev, D.S. Chow, X. Guo, B. Zhao
Computer-Assisted Volumetric Measurement of Core Infarct Volume in Pediatric Patients: Feasibility for Clinical Use and Development of Quantitative Metrics for Outcome Prediction
American Journal of Neuroradiology Apr 2015, 36 (4) 789-794; DOI: 10.3174/ajnr.A4183

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Computer-Assisted Volumetric Measurement of Core Infarct Volume in Pediatric Patients: Feasibility for Clinical Use and Development of Quantitative Metrics for Outcome Prediction
C.G. Filippi, A.M. El-Ali, V.Z. Miloushev, D.S. Chow, X. Guo, B. Zhao
American Journal of Neuroradiology Apr 2015, 36 (4) 789-794; DOI: 10.3174/ajnr.A4183
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