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Research ArticleBRAIN

Perfusion-Weighted MR Imaging Studies in Brain Hypervascular Diseases: Comparison of Arterial Input Function Extractions for Perfusion Measurement

D. Ducreux, I. Buvat, J.F. Meder, D. Mikulis, A. Crawley, D. Fredy, K. TerBrugge, P. Lasjaunias and J. Bittoun
American Journal of Neuroradiology May 2006, 27 (5) 1059-1069;
D. Ducreux
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I. Buvat
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J.F. Meder
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D. Mikulis
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A. Crawley
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D. Fredy
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K. TerBrugge
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P. Lasjaunias
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J. Bittoun
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  • Fig 1.
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    Fig 1.

    A, Arterial region of interest set on the right (red) or left (blue) MCA or right (green) or left (yellow) PCA in the regional and regional scaled estimations.

    B, Tissular region of interest set on the right Th (upper) and right CO (lower).

  • Fig 2.
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    Fig 2.

    Automated AIF extraction used in regional scaled and global methods. Arterial voxels (red, upper image) are superimposed over MR PWI series to check their anatomic matching with brain arteries. Single AIF curve (red, lower image, in arbitrary unit [AU]) derived from local selected AIF curve (blue) is fitted with a gamma function to eliminate recirculation (yellow).

  • Fig 3.
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    Fig 3.

    Radar plots of the no gold standard σ/α results for the 4 PWI parameters (CBV Th, CBV CO, CBF Th, CBF CO) in volunteers (A) and patients (B). The plot with the smallest area corresponds to the most accurate AIF estimate.

  • Fig 4.
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    Fig 4.

    Comparison of the CBF distribution measurements in Th locations of patients with brain hypervascular disease among the 4 AIF estimations methods, compared with a beta distribution. All the AIF estimation methods have a beta pattern for the CBV and CBF measurements in all locations (only CBF in Th is shown here).

  • Fig 5.
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    Fig 5.

    Differences between CBV and CBF parameter color-scaled maps with local (A), regional (B), regional scaled (C), and global (D) AIF estimations in a patient with brain AVM. Note that AIF curves are sharper with the regional and regional scaled methods, mainly because of AIF positioning and increased CBF values in gray matter cortices (green). Unlike the observations in volunteers, CBV and CBF images obtained with the 4 AIF estimation approaches were not that similar.

  • Fig 6.
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    Fig 6.

    AIF of a left occipital brain AVM (A, -B) with visualization of the arteriovenous shunt (red voxels inside the left occipital lobe). T2* section (C) shows T2-weighted left parietal abnormal areas related to gadolinium-chelate magnetic susceptibility effect in abnormal vessels; and color scale parametric CBV (D), CBF (E), and MTT (F) maps computed with the regional scaled method show high-flow disturbances in this area. Note that hemodynamic disturbances are seen remote from the nidus over the left CO (arrow), regardless of the AIF estimation method used.

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    Fig 7.

    Graph shows patients’ PWI abnormalities (hypoperfusion [Hypo], hyperperfusion [Hyper], venous congestion [lswb]Cong], or Normal) found in the different AIF estimation methods. Note that PWI abnormalities may be bilateral. All PWI results varied among the different methods except for 14 patients who had the same PWI abnormalities regardless of the AIF estimation method.

Tables

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    Table 1:

    Cerebral blood flow and cerebral blood volume values measured in regions of interest drawn over the thalami and centrum ovale in volunteers and patients using each of the 4 arterial input function estimates

    LocalRegionalRegional ScaledGlobal
    Volunteers
        CBV Th
            mMean (SD)6.2 (1.5)6.0 (1.6)5.0 (1.2)5.9 (1.2)
            Min–max4.2–9.63.8–8.73.4–6.94.1–8.5
        CBV CO
            Mean (SD)2.0 (0.2)2.0 (0.3)1.9 (0.3)2.0 (0.3)
            Min–max1.6–2.51.6–2.71.4–2.41.6–2.4
        CBF Th
            Mean (SD)66.0 (13.5)67.5 (18.2)60.2 (15.3)63.5 (9.2)
            Min–max46.1–95.336.3–94.734.2–88.447.6–80.4
        CBF CO
            Mean (SD)20.3 (4.6)19.9 (3.2)20.2 (3.6)21.0 (3.3)
            Min–max12.8–30.412.8–25.514.8–26.915.7–25.9
    Patients
        CBV Th
            Mean (SD)6.9 (3.4)7.0 (3.1)6.0 (2.6)6.6 (3.0)
            Min–max2.4–24.93.5–21.62.6–16.83.7–18.8
        CBV CO
            Mean (SD)2.5 (1.8)2.5 (1.7)2.3 (1.8)2.4 (2.6)
            Min–max0.9–14.00.8–14.00.9–14.90.6–21.9
        CBF Th
            Mean (SD)72.3 (39.977.0 (43.9)67.3 (36.3)77.1 (46.6)
            Min–max16.3–268.427.4–254.014.2–192.031.9–328.2
        CBF CO
            Mean (SD)20.2 (11.1)19.7 (10.4)19.7 (10.4)20.0 (10.5)
            Min–max4.9–58.65.9–58.67.2–60.77.0–63.0
    • Note:—CBF indicates cerebral blood flow (mL/min/100 g); CBV, cerebral blood volume (mL/100 g); Th, thalami; CO, centrum ovale.

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    Table 2:

    Patients’ perfusion-weighted imaging findings observed with the different arterial input function estimation methods

    LocalRegionalRegional ScaledGlobal
    Th
        Hypo727 (1)8 (2)
        Hyper12 (2)109 (1)15 (2)
        Cong8 (2)10 (2)11 (2)9 (2)
        Norm12 (36%)14 (42%)7 (21%)7 (21%)
    CO
        Hypo12 (6)15 (9)16 (5)16 (8)
        Hyper5 (3)10 (4)8 (3)4 (3)
        Cong12 (5)9 (1)6 (2)9 (3)
        Norm7 (21%)5 (15%)6 (18%)7 (21%)
    Th & Co
        Hypo313 (1)6
        Hyper3 (1)32 (1)3
        Cong2220
        Norm3 (9%)2 (6%)3 (9%)2 (6%)
    • Note:—Hypo indicates hypoperfusion; Hyper, hyperperfusion; Cong, venous congestion; Norm, normal; Th, thalami; CO, centrum ovale. Within the Hypo, Hyper, and Cong entries, numbers in parentheses indicate perfusion-weighted imaging abnormalities that are bilateral.

    • View popup
    Table 3:

    Results of the no gold standard method comparing the accuracy of cerebral blood volume and cerebral blood flow perfusion-weighted imaging measurements in volunteers and patients for different arterial input function estimation methods

    LocalRegionalRegional ScaledGlobal
    Volunteers
        CBV Th.199.008.169.476
        CBV CO.295.008.197.412
        CBF Th.432.166.121.323
        CBF CO.262.185.141.356
    Patients
        CBV Th.090.069.040.076
        CBV CO.025.017.020.040
        CBF Th.066.070.067.053
        CBF CO.050.031.071.115
    • Note:—CBV indicates cerebral blood volume; CBF, cerebral blood flow; Th, thalami; CO, centrum ovale. Bold values indicate the best performance (ie, parameter most correlated to the unknown true values).

    • View popup
    Table 4:

    Paired t test of the pefusion-weighted imaging results from the arterial input function estimation methods in volunteers and patients

    Loc vs RgLoc Vs RgSLoc vs GlbRg vs RgSRg vs GlbRgS vs Glb
    Volunteers
        CBV Th.454.001.534.000.892.032
        CBV CO.232.505.898.038.309.712
        CBF Th.762.200.498.027.411.421
        CBF CO.587.894.493.560.210.382
    Patients
        CBV Th.600.001.328.000.127.001
        CBV CO.099.001.544.004.915.275
        CBF Th.097.083.099.001.979.001
        CBF CO.176.448.771.920.690.697
    • Note:—Significant statistical differences are in bold. Loc indicates local; Rg, regional; RgS, regional scaled; Glb, Global; CBV, cerebral blood volume; CBF, cerebral blood flow; Th, thalami; CO, centrum ovale.

    • View popup
    Table 5:

    Abnormal perfusion-weighted imaging findings in patients among the different arterial input function estimation methods

    Patient No.LocalRegionalRegional ScaledGlobal
    HypoHyperCongNormHypoHyperCongNormHypoHyperCongNormHypoHyperCongNorm
    10010010000010001
    20010001000101010
    30010101001101110
    40010010001000100
    51010100001101010
    61000100011001000
    70001101001100010
    80010001000100010
    90010011001100110
    100100010001000100
    111110111001000110
    121110011001000110
    131100110011001100
    141110111001101110
    151000110011001000
    161110101001101010
    171000100001001110
    181100010001000100
    191000000100010001
    201010101001101010
    210010001000100110
    220110111001101110
    230010001011001000
    240110011000100010
    250001100011001000
    261000100001000100
    271100111011001010
    280100010001000100
    291100010001001100
    301000100010001000
    310110010001100100
    320001000110001010
    330010011000011000
    • Note:—O indicates absent; 1, present. Only 5 of 33 patients (15%) had identical perfusion-weighted imaging abnormalities among the different arterial input function methods (shaded areas). Hypo indicates hypoperfusion; Hyper, hyperperfusion; Cong, venous congestion; Norm, normal.

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American Journal of Neuroradiology: 27 (5)
American Journal of Neuroradiology
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D. Ducreux, I. Buvat, J.F. Meder, D. Mikulis, A. Crawley, D. Fredy, K. TerBrugge, P. Lasjaunias, J. Bittoun
Perfusion-Weighted MR Imaging Studies in Brain Hypervascular Diseases: Comparison of Arterial Input Function Extractions for Perfusion Measurement
American Journal of Neuroradiology May 2006, 27 (5) 1059-1069;

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Perfusion-Weighted MR Imaging Studies in Brain Hypervascular Diseases: Comparison of Arterial Input Function Extractions for Perfusion Measurement
D. Ducreux, I. Buvat, J.F. Meder, D. Mikulis, A. Crawley, D. Fredy, K. TerBrugge, P. Lasjaunias, J. Bittoun
American Journal of Neuroradiology May 2006, 27 (5) 1059-1069;
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