Stroke Lesion Outcome Prediction Based on MRI Imaging Combined With Clinical Information
نویسندگان
چکیده
منابع مشابه
Combined clinical and imaging information as an early stroke outcome measure.
BACKGROUND AND PURPOSE Imaging information has been proposed as a potential surrogate outcome in stroke clinical trials. The purpose of this study was to determine whether an early outcome measure combining clinical and imaging information is better than either alone in predicting 3-month outcome in acute ischemic stroke patients. METHODS Clinical information (National Institutes of Health St...
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Introduction Diffusion weighted magnetic resonance imaging (DWI) and perfusion weighted magnetic resonance imaging (PWI) detect ischemic changes in brain within minutes from the onset of ischemia (1). If the hypopermsed tissue on PWI is larger than the infarct on DWI (perfusion-difmsion mismatch) this may represent potentially salvageable tissue, the ischemic penumbra. Combined DWI and PWI may ...
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BACKGROUND AND PURPOSE Ischemic lesion recurrence on diffusion-weighted imaging (DWI-LR) is a frequently observed phenomenon after acute ischemic stroke. However, no study has elucidated the impact of DWI-LR on functional outcome. METHODS Among a consecutive series of patients who presented with focal symptoms or signs compatible with stroke within 48 hours from the onset over a 50-month peri...
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BACKGROUND AND PURPOSE Multiparametric MRI generates different zones within the lesion that may reflect heterogeneity of tissue damage in cerebral ischemia. This study presents the application of a novel model of tissue characterization based on an angular separation between tissues obtained with the use of an objective (unsupervised) computer segmentation algorithm implementing a modified vers...
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Introduction: Brain tumors such as glioma are among the most aggressive lesions, which result in a very short life expectancy in patients. Image segmentation is highly essential in medical image analysis with applications, particularly in clinical practices to treat brain tumors. Accurate segmentation of magnetic resonance data is crucial for diagnostic purposes, planning surgical treatments, a...
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ژورنال
عنوان ژورنال: Frontiers in Neurology
سال: 2018
ISSN: 1664-2295
DOI: 10.3389/fneur.2018.01060