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Research ArticleBRAIN

Reproducibility of Quantitative CT Brain Perfusion Measurements in Patients with Symptomatic Unilateral Carotid Artery Stenosis

A. Waaijer, I.C. van der Schaaf, B.K. Velthuis, M. Quist, M.J.P. van Osch, E.P.A. Vonken, M.S. van Leeuwen and M. Prokop
American Journal of Neuroradiology May 2007, 28 (5) 927-932;
A. Waaijer
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I.C. van der Schaaf
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B.K. Velthuis
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M. Quist
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M.J.P. van Osch
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E.P.A. Vonken
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M.S. van Leeuwen
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M. Prokop
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    Fig 1.

    Analysis of manual outlined ROIs according to territorial division of Damasio.26 1, ACA territory; 2, MCA territory; 3, basal ganglia; 4, PCA territory.

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    Fig 2.

    Bland-Altman plots of the relative differences (interobserver variability, pooled data) against the mean absolute value for CBF (milliliters per 100 g per minute) (A), CBV (milliliters per 100 g) (B), and MTT (seconds) (C). The relative ΔCBV, ΔCBF, and ΔMTT indicate the difference between 2 observations divided by the mean of those 2 observations, given as a percentage. The thick line represents the mean bias, and the dotted lines indicate the upper and lower limits of agreement. These upper and lower limits of agreement for the relative differences were 37% and −37% for CBV, 38% and −43% for CBF, and 21% and −16% for MTT, respectively.

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    Table 1:

    Patient characteristics (n = 20)

    Patient demographics
    Mean age ± SD68 ± 11.1 years (range, 48–84 years)
    Male:female14:6
    Presenting event
        Amaurosis fugax2
        Transient ischemic attack9
        Stroke9
    Carotid arteries
    Symptomatic side, left: right10: 10
        Mean stenosis ± SD, symptomatic side88 ± 13 (range, 60% to 99%)
        Mean stenosis ± SD, asymptomatic side11 ± 17% (range, 0% to 50%)
    Cerebral damage (noncontrast CT)
        No infarct11
        Small infarct (small branch area)*5
        Medium size infarct (major branch area)*4
    • * Infarct size was classified according to Lodder et al.36

    • View popup
    Table 2:

    Perfusion characteristics

    TerritoryCBV (ml/100 g)CBF (ml/100 g/min)MTT (seconds)
    CT perfusion values—symptomatic hemisphere
        ACA4.1 ± 1.450.4 ± 18.85.0 ± 0.7
        MCA5.3 ± 1.456.1 ± 17.85.9 ± 1.3
        Basal ganglia4.3 ± 1.349.3 ± 17.65.5 ± 1.2
        PCA4.9 ± 1.450.9 ± 15.45.8 ± 0.7
    CT perfusion values—asymptomatic hemisphere
        ACA3.9 ± 1.350.9 ± 18.14.7 ± 0.7
        MCA5.3 ± 1.670.7 ± 22.34.5 ± 0.6
        Basal ganglia4.3 ± 1.357.2 ± 20.54.6 ± 0.9
        PCA5.0 ± 1.653.7 ± 16.95.6 ± 0.9
    CT perfusion ratios (symptomatic/asymptomatic side)
        ACA1.05 ± 0.141.01 ± 0.131.06 ± 0.10
        MCA1.01 ± 0.120.81 ± 0.141.28 ± 0.17
        Basal ganglia1.03 ± 0.090.88 ± 0.081.18 ± 0.12
        PCA1.05 ± 0.221.00 ± 0.171.06 ± 0.13
    • Note:—CBV indicates cerebral blood volume; CBF, cerebral blood flow; MTT, mean transit time; ACA, anterior cerebral artery; MCA, middle cerebral artery; PCA, posterior cerebral artery. Perfusion characteristics in our study group of 20 patients with symptomatic carotid artery stenosis. CT perfusion values and ratios (mean ± SD) are given for the various vascular flow territories. Note that numbers were calculated from mean values of 3 observations. For CT perfusion values, 80 data points (20 patients × 2 slabs × 2 hemispheres) were used for each territory. For CT perfusion ratios, 40 data points (20 patients × 2 slabs) were used for each territory.

    • View popup
    Table 3:

    Comparison of intraobserver and interobserver variability for CT perfusion values and CT perfusion ratios

    VariabilitySDDrel (Range of Relative Differences)
    CBVCBFMTT
    Intraobserver
        CT perfusion values16% (−62%, 54%)18% (−59%, 63%)5% (−35%, 21%)
        CT perfusion ratios11% (−51%, 37%)10% (−42%, 33%)6% (−30%, 23%)
        P*.000.000.048
    Interobserver
        CT perfusion values17% (−78%, 63%)18% (−67%, 55%)9% (−30%, 34%)
        CT perfusion ratios16% (−44%, 71%)13% (−49%, 51%)9% (−36%, 30%)
        P*.135.000.295
    • Note:—SDDrel indicates SDs of relative differences; CBV, cerebral blood volume; CBF, cerebral blood flow; MTT, mean transit time. Pooled data from all flow territories. Variability is expressed as the SD of the relative differences for each pair of observations (SDDrel) and is thus expressed as a percentage. The range of relative differences is given in parentheses. Note that both intraobserver and interobserver variability are significantly lower for CBF ratios than for absolute CBF values, whereas for CBV, this effect was seen only in intraobserver variability. For MTT, the difference was small and significant for intraobserver variability only.

    • * F test.

    • View popup
    Table 4:

    Comparison of intraobserver and interobserver variability for CT perfusion values separately for the symptomatic and asymptomatic hemisphere

    VariabilitySDDrel (%)
    Symptomatic SideAsymptomatic Side
    CBVCBFMTTCBVCBFMTT
    Intraobserver
        ACA2222520215
        MCA1820419225
        Basal ganglia1820419207*
        PCA2022820204
    Interobserver
        ACA1519920*228
        MCA1217614198
        Basal ganglia1515821189
        PCA22161114136
    • Note:—SDDrel indicates SDs of relative differences; CBV, cerebral blood volume; CBF, cerebral blood flow; MTT, mean transit time; ACA, anterior cerebral artery; MCA, middle cerebral artery; PCA, posterior cerebral artery.

    • * Difference between asymptomatic and symptomatic hemisphere significantly different (P < .05).

    • View popup
    Table 5.

    Comparison of intraobserver and interobserver variability (SDDrel) in the four flow territories

    VariabilitySDDrel (%)
    CBVCBFMTTCBV ratioCBF ratioMTT ratio
    Intraobserver
        ACA1718512124
        MCA15175565
        Basal ganglia16176887
        PCA1818616128
        P*.730.884.210.249.029.090
    Interobserver
        ACA1619815168
        MCA111561196
        Basal ganglia171581388
        PCA18159231710
        P*.005.005.179.000.001.001
    • Note:—SDDrel indicates SDs of relative differences; CBV, cerebral blood volume; CBF, cerebral blood flow; MTT, mean transit time; ACA, anterior cerebral artery; MCA, middle cerebral artery; PCA, posterior cerebral artery. The test of Levine for homogeneity of variance was used to check whether variability differed between flow territories. The least variability was commonly seen for the MCA territory. For CTP ratios, the largest variability was usually found for the PCA territory.

    • * Test of Levine for homogeneity of variance

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American Journal of Neuroradiology: 28 (5)
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A. Waaijer, I.C. van der Schaaf, B.K. Velthuis, M. Quist, M.J.P. van Osch, E.P.A. Vonken, M.S. van Leeuwen, M. Prokop
Reproducibility of Quantitative CT Brain Perfusion Measurements in Patients with Symptomatic Unilateral Carotid Artery Stenosis
American Journal of Neuroradiology May 2007, 28 (5) 927-932;

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Reproducibility of Quantitative CT Brain Perfusion Measurements in Patients with Symptomatic Unilateral Carotid Artery Stenosis
A. Waaijer, I.C. van der Schaaf, B.K. Velthuis, M. Quist, M.J.P. van Osch, E.P.A. Vonken, M.S. van Leeuwen, M. Prokop
American Journal of Neuroradiology May 2007, 28 (5) 927-932;
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