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Research ArticleBrain
Open Access

Susceptibility-Diffusion Mismatch Predicts Thrombolytic Outcomes: A Retrospective Cohort Study

M. Lou, Z. Chen, J. Wan, H. Hu, X. Cai, Z. Shi and J. Sun
American Journal of Neuroradiology November 2014, 35 (11) 2061-2067; DOI: https://doi.org/10.3174/ajnr.A4017
M. Lou
aFrom the Departments of Neurology (M.L., Z.C., J.W., H.H., X.C., Z.S.)
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Z. Chen
aFrom the Departments of Neurology (M.L., Z.C., J.W., H.H., X.C., Z.S.)
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J. Wan
aFrom the Departments of Neurology (M.L., Z.C., J.W., H.H., X.C., Z.S.)
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H. Hu
aFrom the Departments of Neurology (M.L., Z.C., J.W., H.H., X.C., Z.S.)
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X. Cai
aFrom the Departments of Neurology (M.L., Z.C., J.W., H.H., X.C., Z.S.)
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Z. Shi
aFrom the Departments of Neurology (M.L., Z.C., J.W., H.H., X.C., Z.S.)
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J. Sun
bRadiology (J.S.), the Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China.
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  • Fig 1.
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    Fig 1.

    Image postprocessing and segmentation of cerebral venous structures based on SWI phase images. The SWI phase image (A) was used to calculate the number of voxels of superficial cerebral veins (B) and deep cerebral veins (C) for quantification after segmentation. The asymmetry index of cerebral veins was set as a ratio of voxel numbers of cerebral veins between the ipsilateral and contralateral side.

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    Fig 2.

    The AI score was positively correlated with the frequency of favorable outcome in patients with early reperfusion. The optimal AI score was set as 1.75 based on maximizing the Youden index (sensitivity, 83%; specificity, 67%; Youden index, 53%) for predicting favorable outcome in patients with early reperfusion. R (+) indicates the number of patients with early reperfusion; R (−), the number of patients without early reperfusion.

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    Fig 3.

    Representative pretreatment MR imaging in patients receiving thrombolysis. The first column on the left depicts time-of-flight MR angiography; the second and third columns depict phase images of susceptibility-weighted imaging and an enlarged view focusing on the deep cerebral veins. The right column depicts Tmax maps of perfusion-weighted MR imaging. Patients with a high AI score (A, TIMI = 1, AI score = 1.92, PWI lesion volume = 51 mL) had a lower TIMI score and larger PWI lesion volume than those with low AI scores (B, TIMI = 3, AI score = 1.19, PWI lesion volume = 0 mL).

Tables

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    Table 1:

    Univariate analysis of the baseline variables according to the asymmetry index of cerebral veinsa

    VariableHigh AI (n = 27)Low AI (n = 27)P Value
    Mean age (yr)69 ± 1369 ± 14.926
    Sex, female (%)8 (30%)13 (48%).264
    Serum glucose (mmol/L)141 ± 41159 ± 72.268
    Systolic BP (mm Hg)156 ± 19153 ± 24.653
    Time to imaging (min)175 ± 58186 ± 68.514
    Time to treatment (min)222 ± 68235 ± 60.448
    Baseline NIHSS score15 (6–18)9 (5–14).096
    Stroke risk factors
        Atrial fibrillation (%)13 (48%)11 (41%).785
        Hypertension (%)20 (74%)18 (67%).766
        Diabetes mellitus (%)7 (26%)9 (33%).766
        Hyperlipidemia (%)11 (41%)9 (33%).779
        Current smoking (%)11 (41%)4 (15%).066
        Coronary heart disease (%)7 (26%)8 (30%)1.000
        Hyperhomocysteinemia (%)9 (33%)7 (26%).766
    White blood cell/mm37.1 ± 2.28.3 ± 2.4.052
    PT (sec)12.7 ± 0.912.4 ± 1.4.368
    APTT (sec)27.6 ± 5.625.3 ± 3.4.066
    INR1.06 ± 0.081.03 ± 0.12.325
    Fibrinogen level (g/L)7.7 ± 24.92.8 ± 0.9.313
    Serum creatinine level (mg/dL)0.82 ± 0.140.99 ± 0.93.366
    Serum urea nitrogen level (mg/dL)16.2 ± 5.116.1 ± 4.3.909
    TIMI grading1 (0–1)2 (0–3).002b
    Sites of occlusion.042b
        Proximal2214
        Distal513
    DWI lesion volume (mL)37 ± 5715 ± 33.091
    PWI lesion volume (mL)120 ± 8358 ± 67.004b
    24-Hour DWI lesion volume (mL)66 ± 8235 ± 69.131
    Hemorrhagic transformation (%)11 (41%)7 (26%).387
    HI7 (26%)5 (19%).745
    PH4 (15%)2 (33%).669
    sICH1 (4%)2 (7%)1.000
    Favorable outcome17 (63%)13 (48%).412
    • Note:—BP indicates blood pressure; PT, prothrombin time; APTT, activated partial thromboplastin time; INR, international normalized ratio; HI, hemorrhagic infarction; PH, parenchymal hematoma; sICH, symptomatic intracerebral hemorrhage.

    • ↵a Table cells express results in mean ± SD for normally distributed continuous variables, n (%) for dichotomous variables, and median (interquartile range) for ordinal variables and non-normally distributed continuous variables, respectively.

    • ↵b P < .05.

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    Table 2:

    Different outcomes in patients with or without SWI-DWI mismatch based on reperfusion

    ReperfusionNo Reperfusion
    TotalFavorable OutcomeTotalFavorable Outcome
    SWI-DWI Mismatch (n = 18)1110 (91%)74 (57%)
    Non-SWI-DWI mismatch (n = 36)146 (43%)2210 (45%)
    P value.033.682
    • View popup
    Table 3:

    The sensitivity, specificity, and accuracy between SWI-DWI and PWI-DWI mismatchesa

    SensitivitySpecificityAccuracyAUC
    SWI-DWI mismatch46.755.663.0%0.511
    Standard PWI-DWI mismatch63.38.337.0%0.338
    Optimal PWI-DWI mismatch60.025.044.4%0.425
    Target PWI-DWI mismatch63.338.948.1%0.463
    • Note:—AUC indicates area under the curve.

    • ↵a Accuracy is the proportion of true results (both true-positives and true-negatives) in the population. Standard PWI-DWI mismatch was defined as PWI/DWI ≥ 1.2, PWI-DWI ≥ 10 mL. Optimal PWI-DWI mismatch was defined as PWI/DWI ≥ 2.6 and PWI-DWI ≥ 10 mL. Target PWI-DWI mismatch was defined as PWI/DWI ≥ 1.2, PWI-DWI ≥10 mL, PWI (Tmax ≥ 8 seconds) ≤ 100 mL, and DWI ≤ 100 mL.

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American Journal of Neuroradiology: 35 (11)
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1 Nov 2014
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Cite this article
M. Lou, Z. Chen, J. Wan, H. Hu, X. Cai, Z. Shi, J. Sun
Susceptibility-Diffusion Mismatch Predicts Thrombolytic Outcomes: A Retrospective Cohort Study
American Journal of Neuroradiology Nov 2014, 35 (11) 2061-2067; DOI: 10.3174/ajnr.A4017

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Susceptibility-Diffusion Mismatch Predicts Thrombolytic Outcomes: A Retrospective Cohort Study
M. Lou, Z. Chen, J. Wan, H. Hu, X. Cai, Z. Shi, J. Sun
American Journal of Neuroradiology Nov 2014, 35 (11) 2061-2067; DOI: 10.3174/ajnr.A4017
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