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Multimodal magnetic resonance imaging to identify stroke onset within 6 h in patients with large vessel occlusions.
Wouters, Anke; Dupont, Patrick; Christensen, Soren; Norrving, Bo; Laage, Rico; Thomalla, Götz; Kemp, Stephanie; Lansberg, Maarten; Thijs, Vincent; Albers, Gregory W; Lemmens, Robin.
Afiliação
  • Wouters A; Department of Neurosciences, Experimental Neurology and Leuven Research Institute for Neuroscience and Disease (LIND), KU Leuven - University of Leuven, Leuven, Belgium.
  • Dupont P; Center for Brain & Disease Research, Laboratory of Neurobiology, VIB, Leuven, Belgium.
  • Christensen S; Department of Neurology, University Hospitals Leuven, Leuven, Belgium.
  • Norrving B; Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, Leuven, Belgium.
  • Laage R; Stanford Stroke Center, Stanford University Medical Center, Palo Alto, USA.
  • Thomalla G; Department of Clinical Sciences, Section of Neurology, Lund University, Lund, Sweden.
  • Kemp S; Guided Development GmbH, Heidelberg, Germany.
  • Lansberg M; Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
  • Thijs V; Stanford Stroke Center, Stanford University Medical Center, Palo Alto, USA.
  • Albers GW; Stanford Stroke Center, Stanford University Medical Center, Palo Alto, USA.
  • Lemmens R; 9Florey Institute of Neuroscience and Mental Health, Heidelberg, Australia.
Eur Stroke J ; 3(2): 185-192, 2018 Jun.
Article em En | MEDLINE | ID: mdl-31008349
INTRODUCTION: Mechanical thrombectomy within 6 h after stroke onset improves the outcome in patients with large vessel occlusions. The aim of our study was to establish a model based on diffusion weighted and perfusion weighted imaging to provide an accurate prediction for the 6 h time-window in patients with unknown time of stroke onset. PATIENTS AND METHODS: A predictive model was designed based on data from the DEFUSE 2 study and validated in a subgroup of patients with large vessel occlusions from the AXIS 2 trial. RESULTS: We constructed the model in 91 patients from DEFUSE 2. The following parameters were independently associated with <6 h time-window and included in the model: interquartile range and median relative diffusion weighted imaging, hypoperfusion intensity ratio, core volume and the interaction between median relative diffusion weighted imaging and hypoperfusion intensity ratio as predictors of the 6 h time-window. The area under the curve was 0.80 with a positive predictive value of 0.90 (95%CI 0.79-0.96). In the validation cohort (N = 90), the area under the curve was 0.73 (P for difference = 0.4) with a positive predictive value of 0.85 (95%CI 0.69-0.95). DISCUSSION: After validation in a larger independent dataset the model can be considered to select patients for endovascular treatment in whom stroke onset is unknown. CONCLUSION: In patients with large vessel occlusion and unknown time of stroke onset an automated multivariate imaging model is able to select patients who are likely within the 6 h time-window.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2018 Tipo de documento: Article