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Research ArticleBrain
Open Access

Accuracy of Vessel-Encoded Pseudocontinuous Arterial Spin-Labeling in Identification of Feeding Arteries in Patients with Intracranial Arteriovenous Malformations

S.L. Yu, R. Wang, R. Wang, S. Wang, Y.Q. Yao, D. Zhang, Y.L. Zhao, Z.T. Zuo, R. Xue, D.J.J. Wang and J.Z. Zhao
American Journal of Neuroradiology January 2014, 35 (1) 65-71; DOI: https://doi.org/10.3174/ajnr.A3638
S.L. Yu
aFrom the Department of Neurosurgery (S.L.Y., Rong Wang, S.W., D.Z., Y.L.Z., J.Z.Z.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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R. Wang
aFrom the Department of Neurosurgery (S.L.Y., Rong Wang, S.W., D.Z., Y.L.Z., J.Z.Z.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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R. Wang
bState Key Laboratory of Brain and Cognitive Science (Rui Wang, Z.T.Z., R.X.), Beijing MRI Center for Brain Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
eUniversity of California, Los Angeles–Beijing Joint Center for Advanced Brain Imaging (R.X., Rui Wang, D.J.J.W.), Los Angeles, California and Beijing, China.
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S. Wang
aFrom the Department of Neurosurgery (S.L.Y., Rong Wang, S.W., D.Z., Y.L.Z., J.Z.Z.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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Y.Q. Yao
cDepartment of Neurosurgery (Y.Q.Y.), Beijing Jishuitan Hospital, Peking University, Beijing, China
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D. Zhang
aFrom the Department of Neurosurgery (S.L.Y., Rong Wang, S.W., D.Z., Y.L.Z., J.Z.Z.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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Y.L. Zhao
aFrom the Department of Neurosurgery (S.L.Y., Rong Wang, S.W., D.Z., Y.L.Z., J.Z.Z.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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Z.T. Zuo
bState Key Laboratory of Brain and Cognitive Science (Rui Wang, Z.T.Z., R.X.), Beijing MRI Center for Brain Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
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R. Xue
bState Key Laboratory of Brain and Cognitive Science (Rui Wang, Z.T.Z., R.X.), Beijing MRI Center for Brain Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
eUniversity of California, Los Angeles–Beijing Joint Center for Advanced Brain Imaging (R.X., Rui Wang, D.J.J.W.), Los Angeles, California and Beijing, China.
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D.J.J. Wang
dDepartment of Neurology (D.J.J.W.), University of California, Los Angeles, Los Angeles, California
eUniversity of California, Los Angeles–Beijing Joint Center for Advanced Brain Imaging (R.X., Rui Wang, D.J.J.W.), Los Angeles, California and Beijing, China.
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J.Z. Zhao
aFrom the Department of Neurosurgery (S.L.Y., Rong Wang, S.W., D.Z., Y.L.Z., J.Z.Z.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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Article Figures & Data

Figures

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  • Fig 1.
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    Fig 1.

    Labeling plane on the coronary (A) and transverse (B) MRA images. Arrows show RICA (R), LICA (L), and vertebrobasilar arteries (B).

  • Fig 2.
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    Fig 2.

    For the 6 patients (18 vessels) with 3 PLDs, there are no significant differences in the supply fractions with relative labeling efficiencies (P > .05).

  • Fig 3.
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    Fig 3.

    ROC curves of VE-PCASL with standard (blue line) and relative (green line) labeling efficiencies, respectively, for the identification of feeding arteries, and the AUC is larger for relative labeling efficiencies.

  • Fig 4.
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    Fig 4.

    Patient 1, a 23-year-old man. He had headaches and blurred vision in both eyes for half a year. The supply fractions of the left ICA, VA, and right ICA were 52.59%, 46.75%, 0.66% and 49.27%, 50.71%, 0 with standard and relative labeling efficiencies, respectively, showing good agreement between the 2 methods. A, VE-PCASL with standard labeling efficiency (arrows show the AVM lesion). B, DSA shows that the AVM lesion is fed by the left ICA and VA.

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    Fig 5.

    Patient 13, a 27-year-old woman. She had a sudden severe headache accompanying a visual field defect 2 months ago, which was confirmed as spontaneous intraventricular hemorrhage by CT. A, VE-PCASL with standard labeling efficiencies shows relatively poor separation of left-versus-right ICA perfusion territories, and there are abnormally high signals in the left ICA perfusion territory with the supply fraction of 14.31%, mismatching the results of DSA. B, VE-PCASL with relative labeling efficiencies shows an improved separation, and there are fewer abnormally high signals from the left ICA perfusion territory with the supply fraction of 1.14% (arrows show the AVM lesion). C, DSA shows that the AVM lesion is fed by the VA and right ICA.

  • Fig 6.
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    Fig 6.

    Patient 9, a 31-year-old woman. She had dizziness for approximately 2 years. VE-PCASL with standard labeling efficiencies showed abnormally high signals in the left ICA perfusion territory with the supply fraction of 27.53%, mismatching the results of DSA. A, VE-PCASL with relative labeling efficiencies shows reduced abnormal signals with the supply fraction of 25.67% but still fails to match the results of DSA (arrows show the AVM lesion). B, DSA shows that the AVM lesion is fed by the VA and right ICA.

Tables

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    Table 1:

    Modified Hadamard encoding matrix based on estimated relative labeling efficiencies of the 18 patients with AVMs

    A−1.0000−1.0000−1.00001.0000
    1.00001.00001.00001.0000
    −0.9200 ± 0.0830.1600 ± 0.1860.7100 ± 0.3401.0000
    0.9200 ± 0.083−0.1600 ± 0.186−0.7100 ± 0.3401.0000
    0.9700 ± 0.105−0.5300 ± 0.1120.9700 ± 0.1051.0000
    −0.9700 ± 0.1050.5300 ± 0.112−0.9700 ± 0.1051.0000
    A+−0.1087 ± 0.03120.1087 ± 0.0312−0.3067 ± 0.02100.3067 ± 0.0210
    0.1125 ± 0.0387−0.1125 ± 0.0387
    −0.3233 ± 0.0310.3233 ± 0.0310.0000−0.0000
    −0.3333 ± 0.04020.3333 ± 0.0402
    −0.0680 ± 0.04460.0680 ± 0.04460.3067 ± 0.0210−0.3067 ± 0.0210
    0.2209 ± 0.0528−0.2209 ± 0.0528
    0.16670.16670.16670.1667
    0.16670.1667
    • Note:—Data are means.

    • View popup
    Table 2:

    Demographic data on the studied population and characterization information of AVMs

    Patient No.Age (yr)SexSpetzler-Martin ClassificationMajor Feeding Arteries Diagnosed by DSA
    RICALICAVA
    123MS2E1V0011
    221MS2E0V1111
    334MS2E0V0011
    444MS2E1V1111
    527FS3E1V0101
    622FS3E1V1111
    7a40MS2E0V0011
    8a46FS2E0V0111
    9a31FS2E1V0101
    10a47FS2E1V0101
    11a13MS1E0V0011
    12a39MS2E0V0100
    1327FS2E1V0101
    1431MS3E1V0111
    1525MS1E1V0011
    1647MS2E0V0101
    1739FS1E1V1011
    1828FS1E0V0010
    • Note:—S indicates the size of the cerebral AVM nidus (1, <3 cm; 2, 3∼6 cm; 3, >6 cm); E, eloquence of adjacent brain (0, noneloquent; 1, eloquent); V, venous drainage pattern (0, superficial draining vein; 1, deep draining vein).

    • ↵a Patients who had 3 PLD time points. Zero and 1 indicate arteries that have or have not contributed to AVM lesions.

    • View popup
    Table 3:

    Different cutoff values of the supply fraction of feeding arteries of the AVM and the resulting sensitivity and specificity with standard or relative labeling efficiencies respectively

    Cutoff ValueStandardRelative
    SensitivitySpecificitySensitivitySpecificity
    0%100%0100%6.67%
    5%97.44%40%97.44%66.67%
    10%92.31%73.33%89.74%80%
    15%84.62%93.33%82.05%93.33%
    20%76.92%93.33%79.49%93.33%
    25%74.36%93.33%69.23%93.33%
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American Journal of Neuroradiology: 35 (1)
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S.L. Yu, R. Wang, R. Wang, S. Wang, Y.Q. Yao, D. Zhang, Y.L. Zhao, Z.T. Zuo, R. Xue, D.J.J. Wang, J.Z. Zhao
Accuracy of Vessel-Encoded Pseudocontinuous Arterial Spin-Labeling in Identification of Feeding Arteries in Patients with Intracranial Arteriovenous Malformations
American Journal of Neuroradiology Jan 2014, 35 (1) 65-71; DOI: 10.3174/ajnr.A3638

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Accuracy of Vessel-Encoded Pseudocontinuous Arterial Spin-Labeling in Identification of Feeding Arteries in Patients with Intracranial Arteriovenous Malformations
S.L. Yu, R. Wang, R. Wang, S. Wang, Y.Q. Yao, D. Zhang, Y.L. Zhao, Z.T. Zuo, R. Xue, D.J.J. Wang, J.Z. Zhao
American Journal of Neuroradiology Jan 2014, 35 (1) 65-71; DOI: 10.3174/ajnr.A3638
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