Publications by authors named "Z Itsekson-Hayosh"
Article Synopsis
- The study focused on improving the diagnosis of clot sources in acute ischemic stroke, particularly distinguishing between atrial fibrillation (AF) and atherosclerosis (AS).
- A new column-based assay for thrombin secretion was developed, which proved to be faster and more informative than previous methods.
- The assay demonstrated high sensitivity and specificity, correctly identifying a significant percentage of patients with AF, thereby enhancing the understanding of cryptogenic strokes and their potential causes.
Background And Purpose: Dural arteriovenous fistulas (DAVFs) exhibit varied clinical manifestations, and high-grade cases are associated with both a risk of hemorrhage and (in certain cases) dementia. Less known, however, is the association between DAVF and more subtle cognitive changes, which might not be clinically apparent without formal neurocognitive testing. This study prospectively assesses baseline cognitive changes in patients with unruptured DAVFs and looks at the effects of treatment on any such changes.
View Article and Find Full Text PDFBackground: Limited research exists regarding the impact of neuroimaging on endovascular thrombectomy (EVT) decisions for late-window cases of large vessel occlusion (LVO) stroke.
Objective: T0 assess whether perfusion CT imaging: (1) alters the proportion of recommendations for EVT, and (2) enhances the reliability of EVT decision-making compared with non-contrast CT and CT angiography.
Methods: We conducted a survey using 30 patients drawn from an institutional database of 3144 acute stroke cases.
Article Synopsis
- * Researchers measured thrombin activity in blood clots washed during stroke treatment, finding that changes in thrombin levels could indicate where the clot originated.
- * The study suggests that the difference in thrombin levels is linked to the clot's location, with higher blood flow areas washing out thrombin, while lower flow areas retain it.
Background: To assess the effect of a commercial artificial intelligence (AI) solution implementation in the emergency department on clinical outcomes in a single level 1 trauma center.
Methods: A retrospective cohort study for two time periods-pre-AI (1.1.