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Research ArticlePediatric Neuroimaging

Brain Volume in Pediatric Patients with Sickle Cell Disease: Evidence of Volumetric Growth Delay?

R. Grant Steen, Temitope Emudianughe, Michael Hunte, John Glass, Shengjie Wu, Xiaoping Xiong and Wilburn E. Reddick
American Journal of Neuroradiology March 2005, 26 (3) 455-462;
R. Grant Steen
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Temitope Emudianughe
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Michael Hunte
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John Glass
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Shengjie Wu
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Xiaoping Xiong
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Wilburn E. Reddick
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  • Fig 1.
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    Fig 1.

    Images obtained in a 7.8-year-old girl with SCD show how image segmentation was performed.

    A and B, T1-weighted (A) and T2-weighted (B) MR images obtained at the same section level.

    C, Segmented image made by combining T1-weighted, T2- or proton density-weighted, and FLAIR images shows 16 types of tissue as nine different gray scale levels.

    D, Segmented and classified image shows gray matter (yellow), white matter (green), blood vessels and membranes (dark blue), and CSF (light blue). To calculate central gray matter (basal ganglia) volume separate from cortical volume, all tissues external to the basal ganglia were erased. The cortical gray matter volume was then calculated as a function of total gray matter volume minus central gray matter volume.

  • Fig 2.
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    Fig 2.

    Scatterplot shows volume of all tissues in patients with SCD and in healthy control children.

  • Fig 3.
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    Fig 3.

    Scatterpolots show cortical gray matter volume (top) and white matter volume (bottom) in patients with SCD and in healthy control children.

Tables

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    TABLE 1:

    Validation of the methods for measuring brain volume performed in five volunteers

    StructureVolume (mL) Measured by 5-mm Thick SectionsVolume (mL) Measured by 3-mm Thin Sections
    White matter33.86 ± 3.3334.00 ± 3.02
    Gray matter58.28 ± 3.7758.44 ± 3.60
    CSF9.68 ± 3.269.54 ± 3.18
    • Note.—Data are mean ± SD. The mean difference between the two methods was 0.053 mL. A paired t test comparing 15 measurements made on thick sections to the same measurements made on thin sections was not significant (t statistic = 0.5524 with 14 degrees of freedom; P = .589).

    • View popup
    TABLE 2:

    Comparison of descriptive data in patients with SCD and control subjects without controlling for age

    ComparisonPatients (n = 83)*Controls (n = 43)*% DifferenceP value†
    Subject age (y)9.36 ± 3.8310.02 ± 3.61−6.40NS
    Proportion male (%)56.658.1−2.60NS
    Volume (mL)
        Total brain94.72 ± 8.1197.24 ± 6.10−2.60.04
        White matter27.16 ± 4.5527.52 ± 4.59−1.30NS
        Gray matter61.30 ± 6.1063.99 ± 5.18−4.20.01
        Central gray matter10.60 ± 1.4611.32 ± 1.51−6.40.01
        Cortical gray matter50.96 ± 4.3752.58 ± 4.59−3.10.03
        CSF6.26 ± 2.555.73 ± 1.909.20NS
    • Note.—NS indicates not significant. Age did not differ significantly between patients and controls, so this approach may be valid.

    • * Data are mean ± SD.

    • † Statistical testing was performed with a two-sample t test.

    • View popup
    TABLE 3:

    Least-squares means of brain volumes between the 83 patients with SCD and 43 control subjects as a function of age

    Volume and Group5.0 Years OldP Value9.5 Years OldP Value11.50 YearsP Value
    Total brain
        Control98.29 ± 1.94.012797.35 ± 1.13NS96.93 ± 1.21NS
        SCD92.49 ± 1.2294.79 ± 0.8095.82 ± 0.92
    White matter
        Control26.63 ± 1.16NS27.43 ± 0.68NS27.79 ± 0.72NS
        SCD25.25 ± 0.7227.22 ± 0.4828.10 ± 0.55
    Gray matter
        Control67.47 ± 1.50.000464.35 ± 0.87.005262.96 ± 0.94NS
        SCD61.07 ± 0.9461.30 ± 0.6261.41 ± 0.71
    Central gray matter
        Control11.98 ± 0.38.001411.39 ± 0.22.004511.13 ± 0.24NS
        SCD10.51 ± 0.2410.60 ± 0.1610.64 ± 0.18
    Cortical gray matter
        Control55.54 ± 1.14.002152.89 ± 0.67.019551.71 ± 0.72NS
        SCD51.29 ± 0.7250.95 ± 0.4850.80 ± 0.54
    CSF
        Control4.18 ± 0.61.00675.56 ± 0.36NS6.18 ± 0.38NS
        SCD6.17 ± 0.386.27 ± 0.266.31 ± 0.29
    • Note.—NS indicates not significant. Data are mean ± standard error.

    • View popup
    TABLE 4:

    Age-related change in brain volume in 83 patients with SCD and 43 control subjects

    EffectEstimate*Standard ErrorP Value†
    Total brain volume
        Intercept for controls99.343.36<.0001
        Intercept for SCD89.932.12<.0001
        Age × controls−0.210.32NS
        Age × SCD patients0.510.21.0162
    White matter
        Intercept for controls25.742.00<.0001
        Intercept for SCD23.061.27<.0001
        Age × controls0.180.19NS
        Age × SCD patients0.440.13.0007
    Gray matter
        Intercept for controls70.952.59<.0001
        Intercept for SCD60.811.63<.0001
        Age × controls−0.690.24.0050
        Age × SCD patients0.050.16NS
    Central gray matter
        Intercept for controls12.640.66<.0001
        Intercept for SCD10.410.42<.0001
        Age × controls−0.130.06.0360
        Age × SCD patients0.020.04NS
    Cortical gray matter
        Intercept for controls58.491.98<.0001
        Intercept for SCD51.661.25<.0001
        Age × controls−0.590.19.0019
        Age × SCD patients−0.070.12NS
    CSF
        Intercept for controls2.651.05.0130
        Intercept for SCD6.050.66<.0001
        Age × controls0.310.10.0024
        Age × SCD patients0.020.07NS
    • * Estimates of fitted model between groups.

    • † The P value for the “Intercept for controls” and the “Intercept for SCD” tests whether the respective intercept is significantly different from zero. The P value for “Age × controls” and “Age × SCD patients” tests whether there is a significant effect of age in controls and patients, respectively, by testing whether the slope is significantly different from zero slope.

    • View popup
    TABLE 5:

    Least-squares means of brain volumes as a function of genotype in 70 patients with hemoglobin SS, 20 control subjects with hemoglobin AS, and 23 control subjects with hemoglobin AA

    Volume and Genotype5.0 Years Old9.5 Years Old11.5 Years Old
    Total brainMeans ± SE
        AA98.79 ± 2.5097.51 ± 1.5796.95 ± 1.66
        AS97.37 ± 3.2897.12 ± 1.7097.01 ± 1.87
        SS92.18 ± 1.3494.59 ± 0.8995.66 ± 1.00
    P Value
        AA vs SS0.0217NSNS
        AS vs SSNSNSNS
        AA vs ASNSNSNS
    White matterMeans ± SE
        AA25.61 ± 1.4726.53 ± 0.9226.94 ± 0.98
        AS27.90 ± 1.9328.48 ± 0.9928.73 ± 1.10
        SS25.00 ± 0.7926.96 ± 0.5327.83 ± 0.59
    P Value
        AA vs SSNSNSNS
        AS vs SSNSNSNS
        AA vs ASNSNSNS
    Gray matterMeans ± SE
        AA68.95 ± 1.9565.55 ± 1.1964.03 ± 1.26
        AS65.52 ± 2.4962.95 ± 1.2961.82 ± 1.40
        SS60.70 ± 1.0261.17 ± 0.6861.37 ± 0.77
    P Value
        AA vs SS0.00020.0018NS
        AS vs SSNSNSNS
        AA vs ASNSNSNS
    Central gray matterMeans ± SE
        AA11.99 ± 0.4911.37 ± 0.3111.09 ± 0.32
        AS11.94 ± 0.6411.41 ± 0.3311.17 ± 0.37
        SS10.48 ± 0.2610.61 ± 0.1810.66 ± 0.20
    P Value
        AA vs SS0.00780.0340NS
        AS vs SS0.03740.0343NS
        AA vs ASNSNSNS
    Cortical gray matterMeans ± SE
        AA56.96 ± 1.4554.18 ± 0.9152.94 ± 0.96
        AS53.80 ± 1.9051.40 ± 0.9850.33 ± 1.08
        SS51.07 ± 0.7850.86 ± 0.5250.77 ± 0.58
    P Value
        AA vs SS0.00050.0019NS
        AS vs SSNSNSNS
        AA vs ASNS0.0397NS
    CSFMeans ± SE
        AA4.22 ± 0.775.44 ± 0.485.98 ± 0.51
        AS3.95 ± 1.005.70 ± 0.526.47 ± 0.58
        SS6.48 ± 0.416.46 ± 0.286.45 ± 0.31
    P Value
        AA vs SS0.0111NSNS
        AS vs SS0.0221NSNS
        AA vs ASNSNSNS
    • Note.—NS indicates not significant; SE, standard error.

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American Journal of Neuroradiology: 26 (3)
American Journal of Neuroradiology
Vol. 26, Issue 3
1 Mar 2005
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R. Grant Steen, Temitope Emudianughe, Michael Hunte, John Glass, Shengjie Wu, Xiaoping Xiong, Wilburn E. Reddick
Brain Volume in Pediatric Patients with Sickle Cell Disease: Evidence of Volumetric Growth Delay?
American Journal of Neuroradiology Mar 2005, 26 (3) 455-462;

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Brain Volume in Pediatric Patients with Sickle Cell Disease: Evidence of Volumetric Growth Delay?
R. Grant Steen, Temitope Emudianughe, Michael Hunte, John Glass, Shengjie Wu, Xiaoping Xiong, Wilburn E. Reddick
American Journal of Neuroradiology Mar 2005, 26 (3) 455-462;
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