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Research ArticleEXTRACRANIAL VASCULAR
Open Access

Validation of a Hemodynamic Model for the Study of the Cerebral Venous Outflow System Using MR Imaging and Echo-Color Doppler Data

G. Gadda, A. Taibi, F. Sisini, M. Gambaccini, S.K. Sethi, D.T. Utriainen, E.M. Haacke, P. Zamboni and M. Ursino
American Journal of Neuroradiology November 2016, 37 (11) 2100-2109; DOI: https://doi.org/10.3174/ajnr.A4860
G. Gadda
aFrom the Department of Physics and Earth Sciences (G.G., A.T., F.S., M.G.)
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A. Taibi
aFrom the Department of Physics and Earth Sciences (G.G., A.T., F.S., M.G.)
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F. Sisini
aFrom the Department of Physics and Earth Sciences (G.G., A.T., F.S., M.G.)
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M. Gambaccini
aFrom the Department of Physics and Earth Sciences (G.G., A.T., F.S., M.G.)
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S.K. Sethi
cMRI Institute for Biomedical Research (S.K.S., D.T.U., E.M.H.), Detroit, Michigan
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D.T. Utriainen
cMRI Institute for Biomedical Research (S.K.S., D.T.U., E.M.H.), Detroit, Michigan
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E.M. Haacke
cMRI Institute for Biomedical Research (S.K.S., D.T.U., E.M.H.), Detroit, Michigan
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P. Zamboni
bVascular Diseases Center (P.Z.), University of Ferrara, Ferrara, Italy
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M. Ursino
dDepartment of Electrical, Electronic and Information Engineering (M.U.), University of Bologna, Bologna, Italy.
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Figures

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  • Fig 1.
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    Fig 1.

    Scheme of the hemodynamic parameter model for the study of cerebral venous outflow.8

  • Fig 2.
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    Fig 2.

    Comparison between supine MR imaging data (dark columns) and model simulation (light columns) of the NST group.

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    Fig 3.

    Comparison between supine MR imaging data (dark columns) and model simulation (light columns) of the LL-R ST group.

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    Fig 4.

    Comparison between supine MR imaging data (dark columns) and model simulation (light columns) of the UL-L ST group.

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    Fig 5.

    Comparison between supine and upright simulated total jugular (sum of left and right) and vertebral average flows of the NST group. The percentage changes are −32.6%, −40.5%, −8.1%, and +120%, which fit those in Table 3 very well.

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    Fig 6.

    Model simulation of the cerebral, external, jugular (left and right), and vertebral average flows in supine and upright conditions for the NST group.

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    Fig 7.

    Model simulation of the cerebral, external, jugular (left and right), and vertebral average flows in the supine and upright condition for the LL-R ST group.

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    Fig 8.

    Model simulation of the cerebral, external, jugular (left and right), and vertebral average flows in the supine and upright condition for the UL-L ST group.

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    Fig 9.

    Venous sinuses pressure behavior with time in the supine and upright simulations for different stenotic patterns.

Tables

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    Table 1:

    List of the conductance values to reproduce the average flow data reported in Table 2 and the flow percentage variation reported in Table 3

    G (mL/s × mm Hg)NSTLL-R STUL-L ST
    A)
        Gvv10.603.97.7
        kjl36.006.000.86
        kjr216.002.3016.00
    B)
        Gc211.00
        Gc321.43
        Gcjl26.67
        Gcjl316.00
        Gazy11.33
        Gazy21.78
        Gc11.18
        Gcjr26.67
        Gcjr321.00
        Gex0.03
        Glv0.89
        Grv0.41
        Gsvc178.50
        Gsvc281.17
        Gvv20.83
        kjl17.27
        Kjl28.00
        kjr17.27
        Kjr313.00
    • Note:—G indicates conductance; Gvvl, conductance of the vertebral system (upper part); kjl3, parameter for the basal conductance of the upper segment of the left jugular vein; Gazy1, conductance of the distal azygos vein; Gazy2, conductance of the proximal azygos vein; Gc1, conductance of the lower segment of the collateral network; Gc2, conductance of the middle segment of the collateral network; Gc3, conductance of the upper segment of the collateral network; Gcjl2, conductance of the lower anastomotic connection (left side); Gcjl3, conductance of the upper anastomotic connection (left side); Gcjr2, conductance of the lower anastomotic connection (right side); Gcjr3, conductance of the upper anastomotic connection (right side); Gex, conductance of the external carotid arteries; Glv, conductance of the lumbar vein; Grv, conductance of the renal vein; Gsvc1, conductance of the upper segment of the superior vena cava (jugular confluence); Gsvc2, conductance of the lower segment of the superior vena cava; Gvv2, conductance of the vertebral system (lower part); kjl1, parameter for the basal conductance of the lower segment of the left jugular vein; kjl2, parameter for the basal conductance of the middle segment of the left jugular vein; kjr1, parameter for the basal conductance of the lower segment of the right jugular vein; kjr3, parameter for the basal conductance of the upper segment of the right jugular vein; kjr2, middle segment of the right jugular vein.

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    Table 2:

    MRI average data of flows related to cerebral, external, jugular, and vertebral circuits in the supine conditiona

    MRInQQexQjr3Qjl3Qjr2Qjl2Qvv
    NST3810.6 ± 1.62.8 ± 1.25.6 ± 2.13.1 ± 1.87.1 ± 2.44.4 ± 1.90.5 ± 0.6
    LL-R ST2010.7 ± 1.83.0 ± 1.13.5 ± 2.54.0 ± 2.13.6 ± 2.74.7 ± 2.61.8 ± 1.6
    UL-L ST4910.6 ± 1.83.2 ± 1.26.1 ± 2.50.8 ± 0.97.5 ± 2.12.1 ± 1.72.0 ± 1.6
    • ↵a Flow values are reported in milliliters/second with SDs.

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    Table 3:

    ECD average data of flow related to cerebral, jugular, and vertebral circuits in the supine NST conditiona

    ECDQQj3Qj2Qj1Qvv
    Supine10.6 ± 1.96.0 ± 2.68.9 ± 3.422.0 ± 10.31.1 ± 0.7
    Upright10.6 ± 1.94.1 ± 2.05.2 ± 3.320.4 ± 12.52.3 ± 1.2
    Variation (%)0−32−42−7+109
    • ↵a Flow values are reported in milliliters/second with SDs.

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American Journal of Neuroradiology: 37 (11)
American Journal of Neuroradiology
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G. Gadda, A. Taibi, F. Sisini, M. Gambaccini, S.K. Sethi, D.T. Utriainen, E.M. Haacke, P. Zamboni, M. Ursino
Validation of a Hemodynamic Model for the Study of the Cerebral Venous Outflow System Using MR Imaging and Echo-Color Doppler Data
American Journal of Neuroradiology Nov 2016, 37 (11) 2100-2109; DOI: 10.3174/ajnr.A4860

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Validation of a Hemodynamic Model for the Study of the Cerebral Venous Outflow System Using MR Imaging and Echo-Color Doppler Data
G. Gadda, A. Taibi, F. Sisini, M. Gambaccini, S.K. Sethi, D.T. Utriainen, E.M. Haacke, P. Zamboni, M. Ursino
American Journal of Neuroradiology Nov 2016, 37 (11) 2100-2109; DOI: 10.3174/ajnr.A4860
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