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Research ArticleAdult Brain
Open Access

White Matter Lesion Penumbra Shows Abnormalities on Structural and Physiologic MRIs in the Coronary Artery Risk Development in Young Adults Cohort

I.M. Nasrallah, M.-K. Hsieh, G. Erus, H. Battapady, S. Dolui, J.A. Detre, L.J. Launer, D.R. Jacobs, C. Davatzikos and R.N. Bryan
American Journal of Neuroradiology August 2019, 40 (8) 1291-1298; DOI: https://doi.org/10.3174/ajnr.A6119
I.M. Nasrallah
aFrom the Department of Radiology (I.M.N., R.N.B.)
bCenter for Biomedical Image Computing and Analytics (I.M.N., M.-K.H., G.E., H.B., C.D.)
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M.-K. Hsieh
bCenter for Biomedical Image Computing and Analytics (I.M.N., M.-K.H., G.E., H.B., C.D.)
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G. Erus
bCenter for Biomedical Image Computing and Analytics (I.M.N., M.-K.H., G.E., H.B., C.D.)
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H. Battapady
bCenter for Biomedical Image Computing and Analytics (I.M.N., M.-K.H., G.E., H.B., C.D.)
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S. Dolui
cDepartment of Neurology (S.D., J.A.D.), University of Pennsylvania, Philadelphia, Pennsylvania
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J.A. Detre
cDepartment of Neurology (S.D., J.A.D.), University of Pennsylvania, Philadelphia, Pennsylvania
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L.J. Launer
dNational Institute on Aging (L.J.L.), National Institutes of Health, Bethesda, Maryland
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D.R. Jacobs
eDivision of Epidemiology (D.R.J.), School of Public Health, University of Minnesota, Minneapolis, Minnesota.
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C. Davatzikos
bCenter for Biomedical Image Computing and Analytics (I.M.N., M.-K.H., G.E., H.B., C.D.)
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R.N. Bryan
aFrom the Department of Radiology (I.M.N., R.N.B.)
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  • Fig 1.
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    Fig 1.

    Sample FLAIR image showing WML (A); WML segmentation in red (B); and WML (red), 0–2 mm (orange) and 2–4 mm (light orange) penumbra, and dNAWM (yellow) (C). dNAWM is eroded from GM to eliminate partial volume effects among these tissue types.

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    Fig 2.

    Boxplots of mean intensity values for each region. CBF is measured in cubic millimeters/100 g/min, and VR shows the mean percentage signal change. For vascular reactivity, outliers are excluded (comprising ∼10% of the sample) to better demonstrate differences among means. A graph with outliers is available (On-line Fig 2). For each parameter, mean values are significantly different among all pair-wise comparisons between ROIs with corrected P < .001, except for VR in which comparison of WML and dNAWM shows corrected P = .001, and there is no significant difference among WMLs and the 2 penumbra regions (P > .4).

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    Fig 3.

    Correlations among the 7 MR imaging variables (Pearson r). Correlation is shown for all voxels in all regions combined and separately for each region. Positive correlations are shaded red, and negative correlations are shaded blue. The asterisk indicates Bonferroni-Holm corrected P < .05.

Tables

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    Table 1:

    Demographic and risk factor data of the subjects from CARDIA with MRI included in this study

    TotalKPDRUMNP Value
    No.463213250NA
    Mean age (yr)50.5 ± 3.450.5 ± 3.450.5 ± 3.3.98
    Race
        Black36%38%34%.48
        White64%62%66%
    Sex
        Male47%47%46%.98
        Female53%53%54%
    Mean BMI28.3 ± 5.327.6 ± 5.428.9 ± 5.2.009
    Mean systolic/diastolic blood pressure (mm Hg)118 ± 15/74 ± 12118 ± 14/74 ± 11119 ± 16/73 ± 12.58/.66
    Diabetic (%)7.6%6.9%8.2%.61
    Smoking history.005
        Never60%67%53%
        Former25%22%28%
        Current15%11%19%
    Sedentary behavior (>75th percentile)19%18%20%.55
    Hypercholesterolemia69%71%68%.38
    Mean risk factor score (range, 0–6)2.1 ± 1.31.9 ± 1.22.2 ± 1.3.06
    • Note:—KPDR indicates Kaiser-Permanente Division of Research; UMN, University of Minnesota; NA, not applicable.

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    Table 2:

    Regional volumes and mean intensity values for MRI parametersa

    WMLPenumbra (0–2 mm)Penumbra (2–4 mm)dNAWMRegression Coefficient
    Mean volume (cm3)0.738 (0.842)2.78 (2.26)5.81 (4.21)219 (3.68)NA
    [0.661–0.815][2.57–2.99][5.43–6.19][186–253]
    FLAIR intensity136 (10.1)98.9 (3.50)79.4 (3.71)70.8 (2.58)−0.854
    [135–137][98.6–99.2][79.1–79.7][70.6–71.0]
    T1 intensity116 (6.43)132 (5.80)142 (4.50)156 (1.31)0.824
    [115–117][132–133][142–142][156–156]
    T2 intensity115 (8.62)88.3 (6.82)74.1 (4.75)60.6 (1.02)−0.734
    [114–115][87.7–88.9][73.7–74.5][60.5–60.7]
    FA0.279 (0.0554)0.328 (0.0411)0.374 (0.0380)0.384 (0.0254)0.630
    [0.273–0.284][0.324–0.331][0.371–0.377][0.382–0.386]
    MD (10−3)3.68 (0.662)3.23 (0.445)2.97 (0.344)2.33 (0.112)−0.578
    [3.62–3.73][3.19–3.27][2.93–3.00][2.32–2.34]
    CBF (mL/100 g/min)25.2 (10.3)26.9 (9.37)28.8 (9.06)34.4 (8.56)0.306
    [24.3–26.1][26.1–27.7][28.0–29.6][33.6–35.2]
    VR0.776 (0.493)0.779 (0.379)0.790 (0.328)0.681 (0.377)0.192
    (Mean % change)[0.731–0.821][0.745–0.813][0.760–0.820][0.647–0.715]
    • Note:—NA indicates not applicable.

    • ↵a SD is in parentheses, and 95% confidence intervals for intensity parameters are in brackets. Kruskal-Wallis tests were significant for all parameters, and pair-wise comparisons had P < .001 except that the WML and penumbral ROIs did not show significant differences in VR. The slope of linear regression across the 4 regions for intensity variables using a median value is shown in the last column; regression analyses were all statistically significant with P < .001.

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American Journal of Neuroradiology: 40 (8)
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I.M. Nasrallah, M.-K. Hsieh, G. Erus, H. Battapady, S. Dolui, J.A. Detre, L.J. Launer, D.R. Jacobs, C. Davatzikos, R.N. Bryan
White Matter Lesion Penumbra Shows Abnormalities on Structural and Physiologic MRIs in the Coronary Artery Risk Development in Young Adults Cohort
American Journal of Neuroradiology Aug 2019, 40 (8) 1291-1298; DOI: 10.3174/ajnr.A6119

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White Matter Lesion Penumbra Shows Abnormalities on Structural and Physiologic MRIs in the Coronary Artery Risk Development in Young Adults Cohort
I.M. Nasrallah, M.-K. Hsieh, G. Erus, H. Battapady, S. Dolui, J.A. Detre, L.J. Launer, D.R. Jacobs, C. Davatzikos, R.N. Bryan
American Journal of Neuroradiology Aug 2019, 40 (8) 1291-1298; DOI: 10.3174/ajnr.A6119
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