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Research ArticleExtracranial Vascular
Open Access

Optimal Prediction of Carotid Intraplaque Hemorrhage Using Clinical and Lumen Imaging Markers

M.S. McLaughlin, P.J. Hinckley, S.M. Treiman, S.-E. Kim, G.J. Stoddard, D.L. Parker, G.S. Treiman and J.S. McNally
American Journal of Neuroradiology December 2015, 36 (12) 2360-2366; DOI: https://doi.org/10.3174/ajnr.A4454
M.S. McLaughlin
aFrom the Department of Radiology (M.S.M., P.J.H., S.M.T., S.-E.K., D.L.P., G.S.T., J.S.M.), Utah Center for Advanced Imaging Research
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  • ORCID record for M.S. McLaughlin
P.J. Hinckley
aFrom the Department of Radiology (M.S.M., P.J.H., S.M.T., S.-E.K., D.L.P., G.S.T., J.S.M.), Utah Center for Advanced Imaging Research
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S.M. Treiman
aFrom the Department of Radiology (M.S.M., P.J.H., S.M.T., S.-E.K., D.L.P., G.S.T., J.S.M.), Utah Center for Advanced Imaging Research
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S.-E. Kim
aFrom the Department of Radiology (M.S.M., P.J.H., S.M.T., S.-E.K., D.L.P., G.S.T., J.S.M.), Utah Center for Advanced Imaging Research
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G.J. Stoddard
bDepartment of Orthopedics (G.J.S.), Study Design and Biostatistics Center
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D.L. Parker
aFrom the Department of Radiology (M.S.M., P.J.H., S.M.T., S.-E.K., D.L.P., G.S.T., J.S.M.), Utah Center for Advanced Imaging Research
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G.S. Treiman
aFrom the Department of Radiology (M.S.M., P.J.H., S.M.T., S.-E.K., D.L.P., G.S.T., J.S.M.), Utah Center for Advanced Imaging Research
cDepartment of Surgery (G.S.T.), University of Utah, Salt Lake City, Utah
dDepartment of Surgery (G.S.T.), VA Salt Lake City Health Care System, Salt Lake City, Utah.
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J.S. McNally
aFrom the Department of Radiology (M.S.M., P.J.H., S.M.T., S.-E.K., D.L.P., G.S.T., J.S.M.), Utah Center for Advanced Imaging Research
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  • Article
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Article Figures & Data

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  • Fig 1.
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    Fig 1.

    Carotid plaque imaging markers. Stenosis is measured by using percentage diameter stenosis [(a − b) / a] and millimeter stenosis (b) (A, cursors). The presence of ulceration is determined on contrast MRA images by using a 2-mm measurement threshold (B, arrow). Intraluminal thrombus is defined as a filling defect on contrast MRA images (C, arrow). IPH is defined by MPRAGE-positive plaque, by using a signal threshold of 2-fold signal intensity over the adjacent sternocleidomastoid muscle (D, right carotid artery is MPRAGE-positive; left side of image). Maximum plaque thickness is measured in the transverse plane on 3D MPRAGE image (D, cursors).

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    Fig 2.

    Receiver operating characteristic comparison analysis. The final model IPH discriminatory value is excellent (blue, AUC = 0.932). The final model discriminatory value (blue) is significantly higher than a model with maximum plaque thickness only (yellow, AUC = 0.881, P < .001), a model with millimeter stenosis only (red, AUC = 0.830, P < .001), and a model with ulceration only (green, AUC = 0.715, P < .001).

Tables

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    Table 1:

    Patient demographics

    Carotid Stroke PredictorDemographics by Vessel
    Male sex (No./total No.) (%)387/726 (53.3)
    Age (yr) (mean) (SD)64.2 (15.6)
    BMI (mean) (SD) (kg/m2)28.4 (6.4)
    Smoking (No./total No.) (%)
        Current smoker138/726 (19.0)
        Prior smoker158/726 (21.8)
        Never smoked430/726 (59.2)
    Hypertension (No./total No.) (%)499/726 (68.7)
    Hyperlipidemia (No./total No.) (%)358/726 (49.3)
    Diabetes (No./total No.) (%)227/726 (31.3)
    Cardiovascular medications
        Antihypertension (No./total No.) (%)412/726 (56.8)
        Statins (No./total No.) (%)316/726 (43.5)
        Antiplatelet (No./total No.) (%)294/726 (40.5)
        Anticoagulation (No./total No.) (%)74/726 (10.2)
    Carotid plaque imaging markers
        Stenosis (mean) (SD) (%)12.2 (23.1)
            Mild stenosis (0%–49%) (No./total No.) (%)647/726 (89.1)
            Moderate stenosis (50%–69%) (No./total No.) (%)45/726 (6.2)
            Severe stenosis (70%–99%) (No./total No.) (%)34/726 (4.7)
        Stenosis (mean) (SD) (mm)4.1 (1.2)
        Maximum plaque thickness (mean) (SD) (mm)3.0 (1.6)
        Ulceration (No./total No.) (%)96/726 (13.2)
        Intraluminal thrombus (No./total No.) (%)19/726 (2.6)
        Intraplaque hemorrhage (No./total No.) (%)65/726 (9.0)
    Magnet strength = 3T (No./total No.) (%)58/726 (8.0)
    • Note:—BMI indicates body mass index.

    • View popup
    Table 2:

    Multivariable logistic regression

    Carotid-IPH PredictorIPH+ (n = 65)IPH− (n = 661)ORP Value95% CI
    Cardiovascular risk factors
        Male sex (No./total No.) (%)55/65 (70.0)332/661 (50.2)3.05.1040.7911.7
        Age (yr) (mean) (SD)76.0 (9.7)63.1 (15.6)1.11.0031.041.19
        BMI (yr) (mean) (kg/m2)26.8 (4.0)28.5 (6.6)0.94.3250.841.06
        Smoking (No./total No.) (%)
            Current smoker12/65 (18.5)126/661 (19.1)1.52.6200.297.88
            Prior smoker24/65 (36.9)134/661 (20.3)1.74.3990.486.36
        Hypertension (No./total No.) (%)46/65 (70.8)453/661 (68.5)0.30.1260.061.41
        Hyperlipidemia (No./total No.) (%)46/65 (70.8)312/661 (47.2)1.08.8950.333.62
        Diabetes (No./total No.) (%)23/65 (35.4)204/661 (30.9)1.04.9480.333.30
    Cardiovascular medications (No./total No.) (%)
        Antihypertension43/65 (66.2)369/661 (55.8)2.70.1700.6511.1
        Statin42/65 (64.6)274/661 (41.5)1.24.7490.334.70
        Antiplatelet38/65 (58.5)256/661 (38.7)1.07.9220.293.88
        Anticoagulation7/65 (10.8)67/661 (10.1)0.63.6280.104.00
    Carotid plaque imaging markers
        Stenosis (mean) (SD) (%)46.5 (30.1)8.9 (19.3).09.4090.000325.7
        Stenosis (mean) (SD) (mm)2.5 (1.5)4.3 (1.0)0.31.0520.091.01
        Maximum plaque thickness (mean) (SD) (mm)5.4 (1.9)2.8 (1.4)2.26<.0010.091.01
        Ulceration (No./total No.) (%)34/65 (52.3)62/661 (9.4)4.36.0171.3014.7
        Intraluminal thrombus (No./total No.) (%)5/65 (7.7)14/661 (2.1)0.49.4960.063.85
        Magnet strength = 3T (No./total No.) (%)16/65 (24.6)42/661 (6.4)1.63.5440.347.82
    • Note:—BMI indicates body mass index.

    • View popup
    Table 3:

    Final model

    Carotid IPH predictorORP Value95% CI
    Ulceration4.25.0201.2514.4
    Male sex3.23.0770.8811.9
    Maximum plaque thickness2.20<.0011.503.22
    Age1.11.0011.051.18
    Stenosis (mm)0.46<.0010.300.71
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M.S. McLaughlin, P.J. Hinckley, S.M. Treiman, S.-E. Kim, G.J. Stoddard, D.L. Parker, G.S. Treiman, J.S. McNally
Optimal Prediction of Carotid Intraplaque Hemorrhage Using Clinical and Lumen Imaging Markers
American Journal of Neuroradiology Dec 2015, 36 (12) 2360-2366; DOI: 10.3174/ajnr.A4454

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Optimal Prediction of Carotid Intraplaque Hemorrhage Using Clinical and Lumen Imaging Markers
M.S. McLaughlin, P.J. Hinckley, S.M. Treiman, S.-E. Kim, G.J. Stoddard, D.L. Parker, G.S. Treiman, J.S. McNally
American Journal of Neuroradiology Dec 2015, 36 (12) 2360-2366; DOI: 10.3174/ajnr.A4454
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