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Imaging selection for reperfusion therapy in acute ischemic stroke beyond the conventional time window.
Scheldeman, Lauranne; Wouters, Anke; Lemmens, Robin.
Afiliação
  • Scheldeman L; Department of Neurology, University Hospitals Leuven, Leuven, Belgium. Lauranne.scheldeman@uzleuven.be.
  • Wouters A; Department of Neurosciences, Experimental Neurology, KU Leuven, University of Leuven, Leuven, Belgium. Lauranne.scheldeman@uzleuven.be.
  • Lemmens R; Center for Brain and Disease Research, Laboratory of Neurobiology, VIB, Leuven, Belgium. Lauranne.scheldeman@uzleuven.be.
J Neurol ; 269(3): 1715-1723, 2022 Mar.
Article em En | MEDLINE | ID: mdl-34718883
ABSTRACT
Originally, the efficacy of acute ischemic stroke treatment with thrombolysis or thrombectomy was only proven in narrow time windows of, respectively, 4.5 and 6 h after onset. Introducing imaging-based selection beyond non-contrast enhanced computed tomography has expanded the treatment window, focusing on presumed tissue status rather than solely on time after stroke onset. Different mismatch concepts have been adopted in clinical practice to select patients in the extended and unknown time window based on findings from randomized controlled trials. Since various concepts exist that can identify patients likely to benefit from reperfusion strategies, clinicians may wonder which imaging modality may be preferred in the emergency setting. In this review, we will discuss the different mismatch concepts and their practical implementation for patient selection for thrombolysis or thrombectomy, beyond the conventional time window.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Isquemia Encefálica / Acidente Vascular Cerebral / AVC Isquêmico Tipo de estudo: Clinical_trials / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Isquemia Encefálica / Acidente Vascular Cerebral / AVC Isquêmico Tipo de estudo: Clinical_trials / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article