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14 p, 236.7 KB Clinical Variables and Genetic Risk Factors Associated with the Acute Outcome of Ischemic Stroke : A Systematic Review / Torres-Aguila, Nuria P (Institut d'Investigació Biomèdica Sant Pau) ; Carrera, Caty (Institut d'Investigació Biomèdica Sant Pau) ; Muiño, Elena (Institut d'Investigació Biomèdica Sant Pau) ; Cullell, Natalia (Stroke Pharmacogenomics and Genetics Laboratory, Mutua Terrasa Foundation of Teaching and Research, Mutua Terrassa Hospital, Terrassa) ; Cárcel-Márquez, Jara (Institut d'Investigació Biomèdica Sant Pau) ; Gallego-Fabrega, Cristina (Institut d'Investigació Biomèdica Sant Pau) ; González-Sánchez, Jonathan (Institut d'Investigació Biomèdica Sant Pau) ; Bustamante, Alejandro (Hospital Universitari Vall d'Hebron. Institut de Recerca) ; Delgado, Pilar (Hospital Universitari Vall d'Hebron. Institut de Recerca) ; Ibañez, Laura (Department of Psychiatry, Washington University School of Medicine, St. Louis, MO) ; Heitsch, Laura (Department of Neurology, Washington University School of Medicine, St. Louis, MO) ; Krupinski, Jerzy (Health Care Science Department, The Manchester Metropolitan University of All Saints, Manchester) ; Montaner, Joan (Department of Neurology, Virgin Rocío and Macarena Hospitals, Institute of Biomedicine of Seville (IBiS), Seville) ; Martí-Fàbregas, Joan (Institut d'Investigació Biomèdica Sant Pau) ; Cruchaga, Carlos (Department of Psychiatry, Washington University School of Medicine, St. Louis, MO) ; Lee, Jin-Moo (Department of Neurology, Washington University School of Medicine, St. Louis, MO) ; Fernandez-Cadenas, Israel (Institut d'Investigació Biomèdica Sant Pau) ; Universitat Autònoma de Barcelona
Stroke is a complex disease and one of the main causes of morbidity and mortality among the adult population. A huge variety of factors is known to influence patient outcome, including demographic variables, comorbidities or genetics. [...]
2019 - 10.5853/jos.2019.01522
Journal of Stroke, Vol. 21 (september 2019) , p. 276-289  
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8 p, 2.3 MB Automated quantification of cerebral edema following hemispheric infarction : Application of a machine-learning algorithm to evaluate CSF shifts on serial head CTs / Chen, Yasheng (Department of Neurology, Washington University, St. Louis, MO 63110, USA) ; Dhar, Rajat (Department of Neurology, Washington University, St. Louis, MO 63110, USA) ; Heitsch, Laura (Emergency Medicine, Washington University, St. Louis, MO 63110, USA) ; Ford, Andria (Department of Neurology, Washington University, St. Louis, MO 63110, USA) ; Fernandez-Cadenas, Israel (Hospital Universitari Vall d'Hebron. Institut de Recerca) ; Carrera, Caty (Hospital Universitari Vall d'Hebron. Institut de Recerca) ; Montaner, Joan (Hospital Universitari Vall d'Hebron. Institut de Recerca) ; Lin, Weili (Dept. of Radiology, University of North Carolina, Chapel Hill, NC 27599, USA) ; Shen, Dinggang (Department of Brain and Cognitive Engineering, Korea University, Seoul 02841, Republic of Korea) ; An, Hongyu (Radiology, Washington University, St. Louis, MO 63110, USA) ; Lee, Jin-Moo (Biomedical Engineering, Washington University, St. Louis, MO 63110, USA) ; Universitat Autònoma de Barcelona
Although cerebral edema is a major cause of death and deterioration following hemispheric stroke, there remains no validated biomarker that captures the full spectrum of this critical complication. We recently demonstrated that reduction in intracranial cerebrospinal fluid (CSF) volume (∆ CSF) on serial computed tomography (CT) scans provides an accurate measure of cerebral edema severity, which may aid in early triaging of stroke patients for craniectomy. [...]
2016 - 10.1016/j.nicl.2016.09.018
NeuroImage, Vol. 12 (september 2016) , p. 673-680  

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