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Research ArticleADULT BRAIN
Open Access

On the Use of DSC-MRI for Measuring Vascular Permeability

J.T. Skinner, P.L. Moots, G.D. Ayers and C.C. Quarles
American Journal of Neuroradiology January 2016, 37 (1) 80-87; DOI: https://doi.org/10.3174/ajnr.A4478
J.T. Skinner
aFrom the Vanderbilt University Institute of Imaging Science (J.T.S., C.C.Q.)
dDepartments of Radiology and Radiological Sciences (J.T.S., C.C.Q.)
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P.L. Moots
eNeurology (P.L.M.)
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G.D. Ayers
fBiostatistics (G.D.A.), Vanderbilt University School of Medicine, Nashville, Tennessee.
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C.C. Quarles
aFrom the Vanderbilt University Institute of Imaging Science (J.T.S., C.C.Q.)
bDepartments of Cancer Biology (C.C.Q.)
cBiomedical Engineering (C.C.Q.), Vanderbilt University, Nashville, Tennessee
dDepartments of Radiology and Radiological Sciences (J.T.S., C.C.Q.)
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  • Fig 1.
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    Fig 1.

    A, Representative uncorrected tumor ΔR2* time course and the associated Weisskoff model fit (solid) used to compute K2 at TE1 (square), TE2 (dot), and dual-echo (diamond). B, Corresponding tissue residue functions used to compute Ka at TE1, TE2, and dual-echo.

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    Fig 2.

    A, T1-weighted post-Gd anatomic image showing a high-grade brain tumor. Sample computed permeability maps (units in minute−1), Ktrans (B), K2 (C), and Ka (D).

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    Fig 3.

    A, Sample voxelwise comparison between K2 at TE2 and Ktrans. B, Sample voxelwise comparison between Ka at TE2 and Ktrans. C, Voxelwise comparison between K2 (y-axis) and Ka (x-axis). Linear regression line shown in black.

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    Fig 4.

    Boxplots of median parameter estimates (from all patients) calculated at various TEs for K2 (A) and Ka (B). Boxplots display the median, 25th, and 75th percentiles (edges of box) and extreme data points (whiskers). Outliers are plotted individually (plus sign). Significance was determined by the Mann-Whitney U test. * indicates P < .01; **, P < .001. Note: Positive outlier for K2 at TE1 not pictured.

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    Fig 5.

    Sample mean ΔR2* time course (TE = 31 ms) for a tumor ROI (A) and the resulting ΔR1 time course (B). Mean ΔR2* (C) and ΔR1 (D) time courses from the same tumor with voxels separated by whether they predominately exhibit T2* leakage effects (T2* voxels) or T1 leakage effects (T1 voxels).

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    Table 1:

    Patient demographics

    PatientAge (yr)SexPrior ResectionPathologyOS (mo)
    161FemaleYesGrade IV glioblastoma17.9
    266MaleYesGrade IV glioblastoma18.2
    365MaleYesGrade III anaplastic astrocytomaNA
    451MaleYesGrade IV glioblastoma4.3
    555MaleNoGrade III oligodendroglioma13.1
    640MaleYesGrade IV glioblastoma11.0
    742FemaleYesGrade IV glioblastomaNA
    • Note:—OS indicates overall survival after radiologically confirmed tumor recurrence/progression; NA, not applicable.

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    Table 2:

    Patient-specific estimates of DSC-MRI and DCE-MRI parameters separated by the predominant leakage effect

    Patient No.No. of Voxels (%)K2 (min−1)Ka (min−1)Ktrans (min−1)ve
    T1T2*T1T2*T1T2*T1T2*T1T2*
    144 (79%)12 (21%)1.8071.205−0.373−0.2500.2230.0660.2210.072
    2214 (45%)265 (55%)1.229−0.815−0.3420.0260.1690.1630.3590.258
    3126 (61%)79 (39%)2.3740.822−0.372−0.1170.0890.0380.3280.150
    4368 (47%)417 (53%)1.7670.700−0.536−0.4690.1040.0780.2280.140
    5187 (56%)147 (44%)1.9750.787−0.149−0.0250.0690.0440.2840.107
    6734 (93%)52 (7%)3.7260.240−0.2560.0040.0990.0500.2900.138
    716 (64%)9 (36%)2.5910.025−0.4180.0240.2000.1790.2030.107
    Meanw2.6270.289−0.329−0.2080.1090.0920.2850.167
    • Note:—Meanw indicates weighted mean.

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American Journal of Neuroradiology: 37 (1)
American Journal of Neuroradiology
Vol. 37, Issue 1
1 Jan 2016
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J.T. Skinner, P.L. Moots, G.D. Ayers, C.C. Quarles
On the Use of DSC-MRI for Measuring Vascular Permeability
American Journal of Neuroradiology Jan 2016, 37 (1) 80-87; DOI: 10.3174/ajnr.A4478

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On the Use of DSC-MRI for Measuring Vascular Permeability
J.T. Skinner, P.L. Moots, G.D. Ayers, C.C. Quarles
American Journal of Neuroradiology Jan 2016, 37 (1) 80-87; DOI: 10.3174/ajnr.A4478
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