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Research ArticleAdult Brain
Open Access

Morphology-Specific Discrimination between MS White Matter Lesions and Benign White Matter Hyperintensities Using Ultra-High-Field MRI

Z. Hosseini, J. Matusinec, D.A. Rudko, J. Liu, B.Y.M. Kwan, F. Salehi, M. Sharma, M. Kremenchutzky, R.S. Menon and M. Drangova
American Journal of Neuroradiology August 2018, 39 (8) 1473-1479; DOI: https://doi.org/10.3174/ajnr.A5705
Z. Hosseini
aFrom the Biomedical Engineering Graduate Program (Z.H., R.S.M., M.D.)
bImaging Research Laboratories (Z.H., J.L., R.S.M., M.D.), Robarts Research Institute
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J. Matusinec
cDepartments of Medicine (J.M.)
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D.A. Rudko
fDepartment of Neurology and Neurosurgery (D.A.R.), McConnell Brain Imaging Centre, Montreal Neurological Institute
gDepartment of Biomedical Engineering (D.A.R.), McGill University, Montreal, Quebec, Canada
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J. Liu
bImaging Research Laboratories (Z.H., J.L., R.S.M., M.D.), Robarts Research Institute
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B.Y.M. Kwan
dMedical Imaging (B.Y.M.K., F.S., M.S.)
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F. Salehi
dMedical Imaging (B.Y.M.K., F.S., M.S.)
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M. Sharma
dMedical Imaging (B.Y.M.K., F.S., M.S.)
hDepartment of Clinical Neurological Sciences (M.S., M.K.), Western University and London Health Sciences Centre, London, Ontario, Canada.
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M. Kremenchutzky
hDepartment of Clinical Neurological Sciences (M.S., M.K.), Western University and London Health Sciences Centre, London, Ontario, Canada.
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R.S. Menon
aFrom the Biomedical Engineering Graduate Program (Z.H., R.S.M., M.D.)
bImaging Research Laboratories (Z.H., J.L., R.S.M., M.D.), Robarts Research Institute
eMedical Biophysics (R.S.M., M.D.), Schulich School of Medicine and Dentistry; Western University, London, Ontario, Canada
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M. Drangova
aFrom the Biomedical Engineering Graduate Program (Z.H., R.S.M., M.D.)
bImaging Research Laboratories (Z.H., J.L., R.S.M., M.D.), Robarts Research Institute
eMedical Biophysics (R.S.M., M.D.), Schulich School of Medicine and Dentistry; Western University, London, Ontario, Canada
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Article Figures & Data

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  • Fig 1.
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    Fig 1.

    Magnified lesion views taken from axial slices of patients with RRMS enrolled in our study. CVS lesions are shown for each brain region: infratentorial (A), juxtacortical (B), periventricular (C), and subcortical lesions (D). For the lesions in the periventricular and subcortical regions, a hypointense rim is observed around the lesion on the IEV-SWI. Arrows point to select lesions and the central vessels running through them. Magnified panels range from 3.0 to 4.0 cm.

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    Fig 2.

    Examples of juxtacortical, periventricular, and subcortical lesions for HC participants. Arrows identify central veins running though the body of WML. IEV-SWI allows the visualization of CVS submillimeter vessels enabling accurate definition of %PVWML. Magnified panels range from 2.0 to 3.0 cm.

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    Fig 3.

    Average %PVWMLPk presented for the RRMS and HC groups in the LL lesion pool (A), NC lesion pool (B), and SV lesion pool (C). A large number of WML with central veins are observed to have multiple central veins. The removal of lesions with multiple central veins results in a wider spread in the data. This yields a reduced diagnostic value of %PVWML for the NC lesion pool (C). The average %PVWML is found to be significantly different between the RRMS and HC groups for all lesion pools as per the Mann-Whitney U test (P < .001).

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    Fig 4.

    The diagnostic accuracy of the Average %PVWMLPk, as analyzed by the receiver operating characteristic test, presented for the pool of all the lesions of >3 mm (LL pool), the pool of nonconfluent lesions of >3 mm (NC pool), and the pool of nonconfluent lesions of >3 mm with a single central vessel (SV pool).

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    Table 1:

    Demographic and clinical dataa

    Control SubjectsPatients with RRMS
    No. of subjects1817
    No. of women1511
    No. of men37
    Age (yr)b37.4 ± 5.8 (26–46)39.4 ± 5.4 (26–46)
    EDSSNA2.2 ± 1.6 (0–6)
    EDSS to scan time gap (days)NA297 ± 49
    • Note:—NA indicates not applicable.

    • ↵a Data are mean ± SD. Data in parentheses represent range.

    • ↵b P = .23, not significant, t test following the D'Agostino-Pearson Omnibus normality test.

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    Table 2:

    Results of Bland-Altman test for reader agreement

    LL Lesion PoolNC Lesion PoolSV Lesion Pool
    Bias ± SD95% LoABias ± SD95% LoABias ± SD95% LoA
    R1, R24.4 ± 8.5−12.3:21.14.0 ± 10.1−23.7:15.7−12.7 ± 20.6−53:27.7
    R1, R3 (1)16.4 ± 9.8−2.9:35.6−12.5 ± 3.3−19.0:−6.0−22.3 ± 12.6−47:2.4
    R1, R3 (2)1.9 ± 6.7−11.3:15.1−12.7 ± 3.1−18.7:−6.6−22.9 ± 11.6−45.6:−0.2
    R2, R3 (1)12 ± 11.5−10.5:34.5−8.5 ± 7.6−23.4:6.3−9.6 ± 8.6−26.4:7.2
    R2, R3 (2)2.4 ± 11.1−24.2:19.3−8.7 ± 7.8−23.8:6.5−10.3 ± 9.4−28.6:8.1
    R3 (1), R3 (2)−14.5 ± 3.8−21.9:−7.1−0.1 ± 0.2−0.6:0.3−0.6 ± 1.1−2.8:1.5
    • Note:—R1 indicates reader 1; R2, reader 2; R3 (1), reader 3, first assessment; R3 (2) reader 3, second assessment; LoA, limits of agreement.

    • View popup
    Table 3:

    Location-specific and averaged %PVWML (averaged over the 3 readers) are presented for each of the lesion poolsa

    RRMSHC
    At Each LocationbAveragecAt Each LocationbAveragec
    LL lesion pool
        Average %PVWMLinfra10 ± 1855 ± 140 ± 05 ± 6
        Average %PVWMLjuxta59 ± 313 ± 8
        Average %PVWMLperi68 ± 354 ± 10
        Average %PVWMLsubcort82 ± 1612 ± 17
    NC lesion pool
        Average %PVWMLinfra3 ± 891 ± 150 ± 018 ± 23
        Average %PVWMLjuxta50 ± 343 ± 8
        Average %PVWMLperi47 ± 311 ± 6
        Average %PVWMLsubcort84 ± 1716 ± 21
    SV lesion pool
        Average %PVWMLinfra2 ± 676 ± 240 ± 017 ± 23
        Average %PVWMLjuxta52 ± 393 ± 8
        Average %PVWMLperi20 ± 230 ± 0
        Average %PVWMLsubcort78 ± 2216 ± 21
    • Note:—infra indicates infratentorial; juxta, juxtacortical; peri, perventricular; subcort, subcortical.

    • ↵a All differences between RRMS and HC statistics were significant (P < .001). Data are mean ± SD.

    • ↵b Average %PVWMLlocjSk.

    • ↵c Average %PVWMLSk.

    • View popup
    Table 4:

    Summary of ROC analysis for 3 lesion pools

    LL Lesion PoolNC Lesion PoolSV Lesion Pool
    Infratentorial region
        Threshold; sensitivity, 95% CI>13%; 29%, 10%–56%>13%; 12%, 2%–36%>13%; 6%, 0%–29%
        Specificity, 95% CI100%, 82%–100%100%, 82%–100%100%, 82%–100%
        AUC0.650.560.53
    Juxtacortical region
        Threshold; sensitivity, 95% CI>19%; 82%, 57%–96%>7%; 82%, 57%–96%,>29%; 65%, 38%–86%
        Specificity, 95% CI89%, 65%–99%89%, 65%–99%100%, 82%–100%
        AUC0.930.890.86
    Periventricular region
        Threshold; sensitivity, 95% CI>13%; 88%, 64%–99%>13%; 82%, 57%–96%>13%; 53%, 28%–77%
        Specificity, 95% CI83%, 59%–96%94%, 73%–100%100%, 82%–100%
        AUC0.930.900.77
    Subcortical region
        Threshold; sensitivity, 95% CI>51%; 94%, 71%–100%>61%; 94%, 71%–100%>61%; 82%, 57%–96%
        Specificity, 95% CI100%, 82%–100%100%, 82%–100%100%, 82%–100%
        AUC0.990.990.96
    Averaged results (over brain volume)
        Threshold; sensitivity, 95% CI>30%; 94%, 71%–100%>67%; 94%, 71%–100%>66%; 77%, 50%–93%
        Specificity, 95% CI100%, 82%–100%100%, 82%–100%100%, 82%–100%
        AUC0.990.990.95
    • Note:—AUC indicates area under the receiver operating characteristic curve.

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Z. Hosseini, J. Matusinec, D.A. Rudko, J. Liu, B.Y.M. Kwan, F. Salehi, M. Sharma, M. Kremenchutzky, R.S. Menon, M. Drangova
Morphology-Specific Discrimination between MS White Matter Lesions and Benign White Matter Hyperintensities Using Ultra-High-Field MRI
American Journal of Neuroradiology Aug 2018, 39 (8) 1473-1479; DOI: 10.3174/ajnr.A5705

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Morphology-Specific Discrimination between MS White Matter Lesions and Benign White Matter Hyperintensities Using Ultra-High-Field MRI
Z. Hosseini, J. Matusinec, D.A. Rudko, J. Liu, B.Y.M. Kwan, F. Salehi, M. Sharma, M. Kremenchutzky, R.S. Menon, M. Drangova
American Journal of Neuroradiology Aug 2018, 39 (8) 1473-1479; DOI: 10.3174/ajnr.A5705
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