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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 January 2015, DOI: https://doi.org/10.3174/ajnr.A4195
P. Krishnan
From 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; Stroke Outcome Reach Center (G.S.), Division of Neurology, Department of Medicine, St. Michael's Hospital, University of Toronto, Ontario, Canada; Department of Neurosciences (B.O.), Medical University of South Carolina, Charleston, South Carolina; and Biostatistician (L.Z.), Sunnybrook Health Sciences Center, Toronto, Ontario, Canada.
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G. Saposnik
From 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; Stroke Outcome Reach Center (G.S.), Division of Neurology, Department of Medicine, St. Michael's Hospital, University of Toronto, Ontario, Canada; Department of Neurosciences (B.O.), Medical University of South Carolina, Charleston, South Carolina; and Biostatistician (L.Z.), Sunnybrook Health Sciences Center, Toronto, Ontario, Canada.
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B. Ovbiagele
From 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; Stroke Outcome Reach Center (G.S.), Division of Neurology, Department of Medicine, St. Michael's Hospital, University of Toronto, Ontario, Canada; Department of Neurosciences (B.O.), Medical University of South Carolina, Charleston, South Carolina; and Biostatistician (L.Z.), Sunnybrook Health Sciences Center, Toronto, Ontario, Canada.
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L. Zhang
From 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; Stroke Outcome Reach Center (G.S.), Division of Neurology, Department of Medicine, St. Michael's Hospital, University of Toronto, Ontario, Canada; Department of Neurosciences (B.O.), Medical University of South Carolina, Charleston, South Carolina; and Biostatistician (L.Z.), Sunnybrook Health Sciences Center, Toronto, Ontario, Canada.
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S. Symons
From 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; Stroke Outcome Reach Center (G.S.), Division of Neurology, Department of Medicine, St. Michael's Hospital, University of Toronto, Ontario, Canada; Department of Neurosciences (B.O.), Medical University of South Carolina, Charleston, South Carolina; and Biostatistician (L.Z.), Sunnybrook Health Sciences Center, Toronto, Ontario, Canada.
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R. Aviv
From 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; Stroke Outcome Reach Center (G.S.), Division of Neurology, Department of Medicine, St. Michael's Hospital, University of Toronto, Ontario, Canada; Department of Neurosciences (B.O.), Medical University of South Carolina, Charleston, South Carolina; and Biostatistician (L.Z.), Sunnybrook Health Sciences Center, Toronto, Ontario, Canada.
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Abstract

BACKGROUND AND PURPOSE: Stroke Prognostication by Using Age and NIHSS score (SPAN-100 index) facilitates stroke outcomes. We assessed imaging markers associated with the SPAN-100 index and their additional impact on outcome determination.

MATERIALS AND METHODS: Of 273 consecutive patients with acute ischemic stroke (<4.5 hours), 55 were characterized as SPAN-100-positive (age +NIHSS score ≥ 100). A comprehensive imaging review evaluated differences, using the presence of the hyperattenuated vessel sign, ASPECTS, clot burden score, collateral score, CBV, CBF, and MTT. The primary outcome assessed was favorable outcome (mRS ≤ 2). Secondary outcomes included recanalization, lack of neurologic improvement, and hemorrhagic transformation. Uni- and multivariate analyses assessed factors associated with favorable outcome. Area under the curve evaluated predictors of favorable clinical outcome.

RESULTS: Compared with the SPAN-100-negative group, the SPAN-100-positive group (55/273; 20%) demonstrated larger CBVs (<0.001), poorer collaterals (P < .001), and increased hemorrhagic transformation rates (56.0% versus 36%, P = .02) despite earlier time to rtPA (P = .03). Favorable outcome was less common among patients with SPAN-100-positive compared with SPAN-100-negative (10.9% versus 42.2%; P < .001). Multivariate regression revealed poorer outcome for SPAN-100-positive (OR = 0.17; 95% CI, 0.06–0.38; P = .001), clot burden score (OR = 1.14; 95% CI, 1.05–1.25; P < .001), and CBV (OR = 0.58; 95% CI, 0.46–0.72; P = .001). The addition of the clot burden score and CBV improved the predictive value of SPAN-100 alone for favorable outcome from 60% to 68% and 74%, respectively.

CONCLUSIONS: SPAN-100-positivity predicts a lower likelihood of favorable outcome and increased hemorrhagic transformation. CBV and clot burden score contribute to poorer outcomes among high-risk patients and improve stroke-outcome prediction.

Abbreviations

AUC
area under curve
CBS
clot burden score
SPAN-100
Stroke Prognostication Using Age and NIHSS

Footnotes

  • P. Krishnan and G. Saposnik contributed equally to the article.

  • © 2015 American Society of Neuroradiology
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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 Jan 2015, 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 Jan 2015, DOI: 10.3174/ajnr.A4195
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