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Research ArticleBrain

Contribution and Additional Impact of Imaging to the SPAN-100 Score

P. Krishnan, G. Saposnik, B. Ovbiagele, L. Zhang, S. Symons and R. Aviv
American Journal of Neuroradiology April 2015, 36 (4) 646-652; DOI: https://doi.org/10.3174/ajnr.A4195
P. Krishnan
aFrom the Division of Neuroradiology (P.K., S.S., R.A.), Department of Medical Imaging, University of Toronto and Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
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G. Saposnik
bStroke Outcome Reach Center (G.S.), Division of Neurology, Department of Medicine, St. Michael's Hospital, University of Toronto, Ontario, Canada
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B. Ovbiagele
cDepartment of Neurosciences (B.O.), Medical University of South Carolina, Charleston, South Carolina
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L. Zhang
dBiostatistician (L.Z.), Sunnybrook Health Sciences Center, Toronto, Ontario, Canada.
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S. Symons
aFrom the Division of Neuroradiology (P.K., S.S., R.A.), Department of Medical Imaging, University of Toronto and Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
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R. Aviv
aFrom the Division of Neuroradiology (P.K., S.S., R.A.), Department of Medical Imaging, University of Toronto and Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
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    Fig 1.

    Coronal CTA MIP image and CBV map in a patient with SPAN-100-positivity at presentation. Coronal CTA MIP image (A) in this SPAN-100-positive patient with acute right-sided hemiparesis and subsequent unfavorable outcome demonstrates abrupt occlusion of the main stem left MCA with a collateral score of zero. The corresponding CBV map (B) demonstrates a large CBV deficit.

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    Fig 2.

    Axial CTA MIP image and CBV map in a patient with SPAN-100-positivity with favorable outcome. Axial CTA MIP (A) in this SPAN-100-positive patient with left-sided acute stroke and favorable outcome shows abrupt occlusion of the distal main stem right MCA. The extent of clot burden is low and underscores the utility of imaging in prognostication. The CBV map (B) shows a cortical-subcortical insular/subinsular defect in the right MCA distribution, with relative sparing of the basal ganglia. Chronic infarction is incidentally seen in the left parietal lobe.

Tables

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    Table 1:

    Comparing demographics/clinical factors between patients with positive SPAN-100 and patients with negative SPAN-100

    SPAN-100-Negative (n = 218)SPAN-100-Positive (n = 55)P Value
    Age (yr)68.2 ± 12.585.5 ± 5.07<.001
    NIHSS (median, IQR)13 (7–18)21 (17–24)<.001
    Male sex121 (55.5%)22 (40).04
    SBP157.7 (139–172)156.04 (138–177).77
    DBP84.9 (71–95)76.1 (64–87).01
    Glucose (admission)8.1 (5.8–8.1)7.6 (6.0–9.0).18
    Risk factors
        Hypertension127 (58.26)45 (81.8).001
        Diabetes mellitus43 (19.72)10 (18.18).79
        Hypercholesterolemia72 (33.03)25 (45.4).08
        Coronary artery disease53 (24.3)12 (21.8).69
        Atrial fibrillation64 (29.36)19 (34.5).45
        Smoker44 (20.1)6 (10.9).11
        Stroke1 (0.46)1 (1.82).29
        Hyperdense sign114 (52.53)35 (63.64).13
        ASPECTS (median) (IQR)7 (6–9)7 (5–8).39
        Clot burden score6 (4–9)6 (5–9).29
        Collateral score2 (2–3)2 (1–2)<.001
        CBV (median) (IQR)14.7 (4.7–34.7)34.7 (13.8–60.5)<.001
        CBF101.6 (55.3–133.1)98.2 (74.6–129.5).75
        MTT104.5 (58.5–133.4)98.4 (74.7–130.5).69
    Time and thrombolysis
        rtPA dose63.0 (54–73)63.0 (54–72).75
        Onset to CT104.0 (80–148)108.0 (75–127).62
        Onset to rtPA161.7 (147)143.0 (131).03
    Outcome
        Recanalization119 (55.35)33 (61.1).44
        mRS (at follow-up)3 (1–4)5 (4–6)<.001
        mRS ≤ 292 (42.2)6 (10.9)<.001
        NIHSS improves >3 in 24 hours101 (46.3)27 (49).71
        Hemorrhagic transformation78 (38.6)28 (56.0).02
        Hemorrhage infarct64 (29.4)23 (41.8).07
        Parenchymal hemorrhage26 (11.9)9 (16.4).37
    • Note:—IQR indicates interquartile range; SBP, systolic blood pressure; DBP, diastolic blood pressure.

    • View popup
    Table 2:

    Univariate logistic regression analysis of good clinical outcome (mRS ≤ 2) on demographic and clinical factors and imaging parameters

    mRS ≤ 2 (n = 98), Favorable OutcomemRS > 2 (n = 175), Poor OutcomeP ValueOR (95% CI)
    Age (yr)67 (57–78)76 (66–83)<.0010.96 (0.94–0.98)
    NIHSS pre-rtPA (median, IQR)17 (12–21)9.0 (4–15)<.0010.86 (0.82–0.90)
    Female sex42 (42.86)88 (50.29).231.35 (0.82–2.23)
    SBP151 (138.5–173.5)155 (137–171.5).931.00 (0.99–1.01)
    DBP81 (72.5–92)80 (70–90).261.01 (0.99–1.02)
    Glucose (admission)a6.4 (5.4–7.3)6.4 (5.4–7.3).040.42 (0.17–0.92)
    Risk factors
        Hypertension54 (55.10)118 (67.43%).040.59 (0.36–0.99)
        Diabetes mellitus15 (15.31)38 (21.71).200.65 (0.33–1.24)
        Hypercholesterolemia29 (29.59)68 (38.86).120.66 (0.39–1.12)
        Coronary artery disease23 (24.3)42 (24).920.97 (0.54–1.73)
        Atrial fibrillation29 (29.59)54 (30.86).820.94 (0.55–1.61)
        Smoker22 (22.45)28 (16).181.52 (0.81–2.83)
        Stroke1 (1.02)1 (0.57).681.79 (0.07–45.66)
        Hyperdense sign48 (48.98%)101 (58.05).140.69 (0.42–1.14)
        EIC84 (85.91)158 (90.29).250.65 (0.30–1.39)
        ASPECTS (median, IQR)8 (6–9)7 (5–8).0011.24 (1.09–1.42)
        Clot burden score7 (6–9)6 (4–9).0021.14 (1.05–1.25)
        Collateral score2 (2–3)2 (1–3).021.46 (1.06–2.04)
        CBV (median, IQR)a8.77 (2.5–24.09)25.14 (9.1–49.60)<.0010.58 (0.46–0.72)
        CBF88.12 (44.7–122.1)104.17 (74.3–143.6)<.0010.99 (0.99–1.00)
        MTT87.96 (43.2–125.9)105.4 (77.5–138.8)<.0010.99 (0.99–1.00)
    Time and thrombolysis
        rtPA given (No. of the patients)80 (81.63%)139 (79.43%).661.15 (0.62–2.20)
        rtPA dose (mg)64.0 (50–73)62.0 (54–72).941.00 (0.98–1.02)
        Onset to CT (min) (median, IQR)a102.0 (74–151)105.0 (80.5–141.5).731.08 (0.68–1.72)
        Onset to rtPA (min) (median IQR)145 (120–179)146 (126–175).701.00 (1.00–1.01)
    Outcome
        Recanalization119 (55.35%)33 (61.1%)<.0013.58 (2.09–6.30)
        Hemorrhagic transformation28 (30.43%)78 (48.75%).0040.46 (0.26–0.78)
        NIHSS improves >3 in 24 hours101 (46.3%)27 (49%).201.38 (0.84–2.27)
        SPAN-100-positive6 (6.12%)49 (28%)<.0010.17 (0.06–0.38)
    • Note:—EIC indicates early ischemic changes.

    • ↵a Natural log-transformation was applied for normalizing the distribution.

    • View popup
    Table 3:

    Prediction of favorable clinical outcome and hemorrhagic transformation

    AIC−2 (Log-Likelihood)R2aAUCOR95% CIP Value
    Favorable clinical outcome
        Model of SPAN-100 only316.64312.640.0540.5990.56–0.64
            SPAN-1000.20.1–0.4
        Model of SPAN-100, CBS307.42301.420.0880.6760.61–0.74.004
            SPAN-1000.20.1–0.3
            CBS1.21.1–1.3
        Model of SPAN-100, CBS, CBV294.09286.090.1350.7420.68–0.80<.001
            SPAN-1000.20.1–0.5
            CBS1.11.0–1.2
            CBV0.60.5–0.8
    Hemorrhagic transformation
        Model of SPAN-100 only342.06338.060.0190.550.49–0.60
            SPAN-1002.01.1–3.8
        Model of SPAN-100, CBS339.39333.3920.0370.620.54.5–0.69.02
            SPAN-1002.21.2–4.1
            CBS0.90.8–0.9
    • Note:—AIC indicates Akaike information criterion.

    • ↵a R2 is the proportion of variability in a dataset that is accounted for by the statistical model.

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P. Krishnan, G. Saposnik, B. Ovbiagele, L. Zhang, S. Symons, R. Aviv
Contribution and Additional Impact of Imaging to the SPAN-100 Score
American Journal of Neuroradiology Apr 2015, 36 (4) 646-652; DOI: 10.3174/ajnr.A4195

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Contribution and Additional Impact of Imaging to the SPAN-100 Score
P. Krishnan, G. Saposnik, B. Ovbiagele, L. Zhang, S. Symons, R. Aviv
American Journal of Neuroradiology Apr 2015, 36 (4) 646-652; DOI: 10.3174/ajnr.A4195
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