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Research ArticleAdult Brain
Open Access

Spatial Correlation of Pathology and Perfusion Changes within the Cortex and White Matter in Multiple Sclerosis

A.D. Mulholland, R. Vitorino, S.-P. Hojjat, A.Y. Ma, L. Zhang, L. Lee, T.J. Carroll, C.G. Cantrell, C.R. Figley and R.I. Aviv
American Journal of Neuroradiology January 2018, 39 (1) 91-96; DOI: https://doi.org/10.3174/ajnr.A5410
A.D. Mulholland
aFrom the Department of Physical Sciences (A.D.M., R.V., S.-P.H., A.Y.M., L.Z.), Sunnybrook Research Institute, Toronto, Ontario, Canada
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R. Vitorino
aFrom the Department of Physical Sciences (A.D.M., R.V., S.-P.H., A.Y.M., L.Z.), Sunnybrook Research Institute, Toronto, Ontario, Canada
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S.-P. Hojjat
aFrom the Department of Physical Sciences (A.D.M., R.V., S.-P.H., A.Y.M., L.Z.), Sunnybrook Research Institute, Toronto, Ontario, Canada
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A.Y. Ma
aFrom the Department of Physical Sciences (A.D.M., R.V., S.-P.H., A.Y.M., L.Z.), Sunnybrook Research Institute, Toronto, Ontario, Canada
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L. Zhang
aFrom the Department of Physical Sciences (A.D.M., R.V., S.-P.H., A.Y.M., L.Z.), Sunnybrook Research Institute, Toronto, Ontario, Canada
bDepartments of Medical Imaging (L.Z., R.I.A.)
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L. Lee
cNeurology (L.L.), Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
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T.J. Carroll
dDepartment of Biomedical Engineering and Radiology (T.J.C.), University of Chicago, Chicago, Illinois
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C.G. Cantrell
eDepartment of Biomedical Engineering (C.G.C.), Northwestern University, Chicago, Illinois
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C.R. Figley
fDepartment of Radiology and Biomedical Engineering (C.R.F.), University of Manitoba, Winnipeg, Manitoba, Canada
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R.I. Aviv
bDepartments of Medical Imaging (L.Z., R.I.A.)
gDepartment of Medical Imaging (R.I.A.), University of Toronto, Toronto, Ontario, Canada.
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    FIGURE.

    Whole-brain depiction of perfusion differences in cortical gray matter among HCs and patients with RRMS and SPMS. Units for CBF are milliliter/100 gram/minute; CBV, milliliter/100 gram; MTT, second.

Tables

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    Table 1:

    Comparison of demographic and clinical data for HCs and subjects with RRMS and SPMSa

    ParameterHC (n = 19)RRMS (n = 19)SPMS (n = 20)RRMS vs HC (P Value)SPMS vs HC (P Value)SPMS vs RRMS (P Value)
    Age (yr)49.0 ± 7.146.4 ± 7.255.2 ± 6.5.27.0168b.0041b
    Sex (F/M)14:515:411:9.70.23.12
    Education (yr)16.9 ± 2.916.1 ± 1.315.1 ± 2.6.22.051.15
    Disease duration (yr)0.0011.8 ± 5.416.7 ± 6.5NANA.0234
    EDSS (median) (IQR)0.001.5 (1–2)6 (6–6.5)NANA.0006b
    • Note:—IQR indicates interquartile range; NA, not applicable.

    • ↵a All values are mean (SD) except where indicated. Bonferroni corrected P < .017 is considered statistically significant.

    • ↵b Significant.

    • View popup
    Table 2:

    Comparison of perfusion and volumetric data for cGM, NAWM, and T2h-l between HCs and subjects with RRMS and SPMS after adjusting for confounding factorsa

    ParameterMedian (Interquartiles)P Value
    HC (n = 19)RRMS (n = 19)SPMS (n = 20)RRMS vs HCSPMS vs HCSPMS vs RRMS
    cGM
        Global volume890 (869–914)864 (827–895)673 (646–697).10.0026b.0020b
        CBF43.20 (33.91–54.49)41.07 (29.85–55.68)34.05 (27.19–43.68)<.0001b<.0001b.0011b
        CBV2.64 (2.02–3.29)2.53 (1.94–3.37)2.40 (1.92–3.07).078.046.0062b
        MTT3.77 (3.20–4.31)3.90 (3.32–4.41)4.30 (3.66–4.99).0001b<.0001b<.0001b
    NAWM
        Global volume878 (812–894)818 (738–850)697 (669–729).0115b.0011b.0049b
        CBF23.49 (18.69–27.78)21.55 (16.05–29.50)19.54 (16.74–24.92).68.58.0080b
        CBV1.59 (1.28–2.00)1.57 (1.17–2.15)1.51 (1.30–1.98).89.16.0103b
        MTT4.51 (4.09–5.10)4.62 (4.08–5.20)4.86 (4.28–5.41).25.0005b.0094b
    T2h-l
        Global volume0.005.4 (1.2–9.3)6.4 (1.0–10.9)NANA.82
        CBF0.0012.77 (8.23–17.24)11.15 (8.95–15.71)NANA.049
        CBV0.000.99 (0–1.32)1.08 (0.83–1.47)NANA.0026b
        MTT0.004.91 (4.00–5.63)5.64 (4.82–6.30)NANA.43
    • Note:—NA, not applicable.

    • ↵a Bonferroni-corrected P < .017 is considered statistically significant. Age was considered a confounding factor for comparing RRMS vs HC and SPMS vs HC; age, EDSS, and disease duration were considered confounding factors for comparing SPMS vs RRMS. All volumes are in cubic centimeters; CBF, milliliter/100 gram/meter; CBV, milliliter/100 gram; MTT, second.

    • ↵b Significant.

    • View popup
    Table 3:

    Lobar GM and WM volume differences among HCs and subjects with RRMS and SPMS after adjusting for confounding factorsa

    ParameterMedian (Interquartiles)P Value
    HC (n = 19)RRMS (n = 19)SPMS (n = 19)RRMS vs HC (n = 19)SPMS vs HC (n = 19)SPMS vs RRMS (n = 19)
    Gray matter
        Frontal lobe200.040 (190.352–167.944)199.248 (192.480–207.896)200.352 (193.500–207.540).69.60.22
        Parietal lobe90.296 (83.992–94.512)89.824 (85.048–95.176)93.368 (88.956–96.352).72.03.095
        Temporal lobe122.740 (110.640–130.560)121.336 (114.672–128.544)106.892 (99.432–112.928).86.0044b.0073b
        Occipital lobe101.088 (98.536–106.272)97.160 (95.728–102.960)72.792 (69.868–75.196).10.0030b.0033b
    White matter
        Frontal lobe190.568 (170.368–201.528)170.316 (159.520–189.112)146.260 (134.908–157.136)<.0001b.0006b<.0001b
        Parietal lobe101.200 (94.536–109.152)93.272 (84.944–97.208)81.952 (77.736–87.532).0001b.0018b<.0001b
        Temporal lobe70.132 (56.648–79.352)68.512 (64.116–74.016)61.208 (51.576–71.720).026.98.0026b
        Occipital lobe32.024 (30.248–35.092)29.092 (24.136–33.768)26.864 (23.552–31.832).65.0098b.0003b
    • ↵a Bonferroni-corrected P < .017 is considered statistically significant. Age was considered a confounding factor for comparing RRMS vs HC and SPMS vs HC; age, EDSS, and disease duration were considered confounding factors for comparing SPMS vs RRMS. All volumes are in cubic centimeters.

    • ↵b Significant.

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A.D. Mulholland, R. Vitorino, S.-P. Hojjat, A.Y. Ma, L. Zhang, L. Lee, T.J. Carroll, C.G. Cantrell, C.R. Figley, R.I. Aviv
Spatial Correlation of Pathology and Perfusion Changes within the Cortex and White Matter in Multiple Sclerosis
American Journal of Neuroradiology Jan 2018, 39 (1) 91-96; DOI: 10.3174/ajnr.A5410

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Spatial Correlation of Pathology and Perfusion Changes within the Cortex and White Matter in Multiple Sclerosis
A.D. Mulholland, R. Vitorino, S.-P. Hojjat, A.Y. Ma, L. Zhang, L. Lee, T.J. Carroll, C.G. Cantrell, C.R. Figley, R.I. Aviv
American Journal of Neuroradiology Jan 2018, 39 (1) 91-96; DOI: 10.3174/ajnr.A5410
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