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AJNR Awards, New Junior Editors, and more. Read the latest AJNR updates

Research ArticleAdult Brain
Open Access

Quantifying Intracranial Internal Carotid Artery Stenosis on MR Angiography

H. Baradaran, P. Patel, G. Gialdini, K. Al-Dasuqi, A. Giambrone, H. Kamel and A. Gupta
American Journal of Neuroradiology May 2017, 38 (5) 986-990; DOI: https://doi.org/10.3174/ajnr.A5113
H. Baradaran
aFrom the Department of Radiology (H.B., P.P., K.A.-D., A. Gupta)
bClinical and Translational Neuroscience Unit (H.B., G.G., H.K., A. Gupta)
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P. Patel
aFrom the Department of Radiology (H.B., P.P., K.A.-D., A. Gupta)
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G. Gialdini
bClinical and Translational Neuroscience Unit (H.B., G.G., H.K., A. Gupta)
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K. Al-Dasuqi
aFrom the Department of Radiology (H.B., P.P., K.A.-D., A. Gupta)
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A. Giambrone
cFeil Family Brain and Mind Research Institute, Department of Healthcare Policy and Research (A. Giambrone)
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H. Kamel
bClinical and Translational Neuroscience Unit (H.B., G.G., H.K., A. Gupta)
dDepartment of Neurology (H.K.), Weill Cornell Medicine, New York, New York.
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A. Gupta
aFrom the Department of Radiology (H.B., P.P., K.A.-D., A. Gupta)
bClinical and Translational Neuroscience Unit (H.B., G.G., H.K., A. Gupta)
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  • Fig 1.
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    Fig 1.

    MRA MIP (A) and axial source (B) images demonstrating high-grade stenosis of the right intracranial ICA. For an accurate measurement of the degree of Warfarin-Aspirin Symptomatic Intracranial Disease stenosis, we made a linear measurement of the most stenotic portion of the ICA on either the MIP or axial source image, in this case 0.9 mm (C). A second “normal” measurement was made at the widest, nontortuous, normal portion of the petrous ICA that had margins parallel with the site of stenosis, in this case 5.3 mm (D). If the petrous ICA was also diseased, the most distal, parallel part of the extracranial ICA was measured. The ratio of these 2 measurements was then used to calculate the WASID stenosis, in this case [1 − (0.9/5.30)] × 100 = 83% stenosis. Alternatively, we could use the single linear measurement at the site of greatest stenosis, 0.9 mm (C), which correlates with a stenosis of >70%.

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    Fig 2.

    Correlation scatterplot demonstrating a linear relationship between millimeter stenosis measurements and percentage WASID stenosis for all included patients with R = −0.84 (P < .0001).

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    Fig 3.

    A, Receiver operating characteristic curve for predicting >70% stenosis demonstrates an optimal cutoff of 1.3 mm. B, Receiver operating characteristic curve for predicting >50% stenosis demonstrates that a measurement of 2.1 mm is an ideal cutoff.

Tables

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    Table 1:

    Patient demographics

    VariableNo. (%)
    Age (yr) (mean)71.9 ± 14.0
    Female91 (47.2)
    Race
        White173 (89.6)
        Black11 (5.7)
        Other9 (4.7)
    Atrial fibrillation27 (14.0)
    Coronary artery disease37 (19.2)
    Carotid artery disease7 (3.6)
    Diabetes55 (28.5)
    Hypertension132 (68.4)
    Dyslipidemia103 (53.4)
    NIHSS quartile
        154 (28.0)
        248 (24.9)
        322 (11.4)
        469 (35.8)
    Prior stroke63 (32.6)
    Peripheral vascular disease13 (6.7)
    Active tobacco use18 (9.3)
    Stroke subtype
        Cardioembolic62 (32.1)
        Cryptogenic77 (39.9)
        Large-artery atherosclerosis25 (13.0)
        Small-vessel occlusion20 (10.4)
        Other9 (4.7)
    IV tPA administered16 (8.3)
    Valvular disease4 (2.1)
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    Table 2:

    WASID percentage stenosis estimates from millimeter measurements of the most stenotic portion of the intracranial ICA

    Stenosis (mm)% WASID Stenosis (95% CI)
    3.0–3.814–30
    2.2–2.931–48
    1.3–2.250–65
    <1.3>65
    • View popup
    Table 3:

    Breakdown of the millimeter measurements of the 139 arteries with detectable WASID stenosis

    Stenosis Measurement<50%50%–69%70%+Total
    >2.1 mm756081
    1.4–2.1 mm1432046
    ≤1.3 mm06612
    Total89446139
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American Journal of Neuroradiology: 38 (5)
American Journal of Neuroradiology
Vol. 38, Issue 5
1 May 2017
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Cite this article
H. Baradaran, P. Patel, G. Gialdini, K. Al-Dasuqi, A. Giambrone, H. Kamel, A. Gupta
Quantifying Intracranial Internal Carotid Artery Stenosis on MR Angiography
American Journal of Neuroradiology May 2017, 38 (5) 986-990; DOI: 10.3174/ajnr.A5113

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Quantifying Intracranial Internal Carotid Artery Stenosis on MR Angiography
H. Baradaran, P. Patel, G. Gialdini, K. Al-Dasuqi, A. Giambrone, H. Kamel, A. Gupta
American Journal of Neuroradiology May 2017, 38 (5) 986-990; DOI: 10.3174/ajnr.A5113
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