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Clinical and radiologic features and their relationships with neurofunctional scores in patients with acute cerebellar infarct

BACKGROUND: Cerebellar infarct is a rare condition with very nonspecific clinical features. The aim of this study was to assess the full spectrum of the clinical characteristics, neuroimaging findings and neurofunctional analyses of cerebellar infarction, and the relationship between them. MATERIALS...

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Detalles Bibliográficos
Autores principales: Kozak, Hasan Hüseyin, Uca, Ali Ulvi, Poyraz, Necdet, Anliaçık, Süleyman Ömer, Tokgöz, Osman Serhat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4888684/
https://www.ncbi.nlm.nih.gov/pubmed/27293332
http://dx.doi.org/10.4103/0972-2327.177351
Descripción
Sumario:BACKGROUND: Cerebellar infarct is a rare condition with very nonspecific clinical features. The aim of this study was to assess the full spectrum of the clinical characteristics, neuroimaging findings and neurofunctional analyses of cerebellar infarction, and the relationship between them. MATERIALS AND METHODS: Data were collected from 59 patients admitted to our department during an 8-year period. We retrospectively analyzed the relationship between demographic characteristics, clinical symptomatology, etiological factors, functional condition, vascular distribution, frequency of subcortical white matter lesions (WMLs), and concomitant lesion outside the cerebellum in patients with acute cerebellar infarct (ACI) at time of admission. RESULTS: The mean age in our series was 65.2 years, with most being male (57.6%). The posterior inferior cerebellar (PICA) artery was the most commonly affected territory at 62.7%. There was concomitant lesion outside the cerebellum in 45.7%. The main etiology in PICA was cardioembolism. While mean National Institutes of Health Stroke Scale on admission was 2.08 ± 1.67 in study group, modified Rankin Scale (mRS) on admission was detected to be mRS1 (n: 44, 74.5%) and mRS2 (n: 12, 20.3%) most frequently. Fourteen (35%) patients were detected to be in Fazekas stage 0; 11 (27.5%) patients in Fazekas stage 1; 6 (15%) patients in Fazekas stage 2; and 9 (22.5%) patients in Fazekas stage 3. CONCLUSION: Cerebellar infarct is very heterogeneous. The other cerebral area infarcts which accompany ACI negatively affect neurologic functional scores. Although it is difficult to detect the relationship between WMLs and neurologic functional severity, timely detection of risk factors and their modulation may be associated with prevention and treatability of WMLs, and this may be one of the important points for prevention of stroke-related disability.