Predicting Poor Outcome Before Endovascular Treatment in Patients With Acute Ischemic Stroke

Predicting Poor Outcome Before Endovascular Treatment in Patients With Acute Ischemic Stroke

Background: Although endovascular treatment (EVT) has greatly improved outcomes in acute ischemic stroke, still one third of patients die or remain severely disabled after stroke. If we could select patients with poor clinical outcome despite EVT, we could prevent futile treatment, avoid treatment c...

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Bibliographic Details
Main Authors: Lucas A. Ramos, Manon Kappelhof, Hendrikus J. A. van Os, Vicky Chalos, Katinka Van Kranendonk, Nyika D. Kruyt, Yvo B. W. E. M. Roos, Aad van der Lugt, Wim H. van Zwam, Irene C. van der Schaaf, Aeilko H. Zwinderman, Gustav J. Strijkers, Marianne A. A. van Walderveen, Mariekke J. H. Wermer, Silvia D. Olabarriaga, Charles B. L. M. Majoie, Henk A. Marquering
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-10-01
Series:Frontiers in Neurology
Subjects:
ischemic stroke
prediction modeling
machine learning
functional outcome
poor outcome
MRS
Online Access:https://www.frontiersin.org/article/10.3389/fneur.2020.580957/full

Internet

https://www.frontiersin.org/article/10.3389/fneur.2020.580957/full

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