Results 31 to 40 of about 324,233 (319)
Albanian Journal of Trauma and Emergency Surgery, 2021 : Objectives: The activation of inflammatory processes in ischemic stroke might be important for the pathophysiological processes of ischemic stroke. The correlation between the Neutrophil to Lymphocyte Ratio (NLR), Platelet to Lymphocyte Ratio (PLR)
Avni Uygar Seyhan +2 more
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Ischemic Stroke in Patients With Intracranial Dural Arteriovenous Fistulas
Journal of the Formosan Medical Association, 2011 Intracranial dural arteriovenous fistulas (DAVFs) can be complicated by ischemic stroke. This study investigated the frequency and determinants of ischemic stroke in patients with intracranial DAVF.
Shin-Joe Yeh +4 more
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Biochemistry risk factors for ischemic stroke [PDF]
Romanian Journal of Neurology, 2023 Stroke is the second leading cause of death and the third primary cause of disability in adults all over the world. The increasing incidence of stroke seriously affects the lives of patients, especially those who are disabled after stroke.
Yang Xu +5 more
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Multi-input segmentation of damaged brain in acute ischemic stroke patients using slow fusion with skip connection [PDF]
, 2022 Time is a fundamental factor during stroke treatments. A fast, automatic approach that segments the ischemic regions helps treatment decisions. In clinical use today, a set of color-coded parametric maps generated from computed tomography perfusion (CTP) images are investigated manually to decide a treatment plan.
arxiv +1 more source
THE CORRELATION OF WAIST HIP RATIO TO ISCHEMIC STROKE PROBABILITY
Malang Neurology Journal, 2018 Background. Stroke is the third cause of death worldwide. Ischemic stroke is the most common type of stroke with high prevalence. Obesity is one of ischemic stroke risk factor, but its correlation with higher ischemic stroke risk remains unclear. Studies
Qisthinadia Hazhiyah Setiadi +2 more
doaj +1 more source
Non-inferiority of Deep Learning Acute Ischemic Stroke Segmentation on Non-Contrast CT Compared to Expert Neuroradiologists [PDF]
Sci Rep 13, 16153 (2023), 2022 To determine if a convolutional neural network (CNN) deep learning model can accurately segment acute ischemic changes on non-contrast CT compared to neuroradiologists. Non-contrast CT (NCCT) examinations from 232 acute ischemic stroke patients who were enrolled in the DEFUSE 3 trial were included in this study.
arxiv +1 more source
, 2022 Ischemic stroke is a growing medical, social and economic problem, the scope of which is becoming epidemic (Graeme J.H., 2016). Despite relatively stable incidence rates and a decrease in mortality over the past two decades, there has been an increase in the number of years of life adjusted for disability and stroke-related deaths (Feigin V.L.
openaire +3 more sources
HDAC4 in ischemic stroke: mechanisms and therapeutic potential
Clinical Epigenetics, 2018 Stroke is one of the leading causes of death and disability worldwide, and the majority of the cases are ischemic stroke. However, it still lacks effective treatment except for thrombolytic therapy in an extremely narrow time window.
Qingsheng Kong +5 more
doaj +1 more source
Image Classification of Stroke Blood Clot Origin using Deep Convolutional Neural Networks and Visual Transformers [PDF]
arXiv, 2023 Stroke is one of two main causes of death worldwide. Many individuals suffer from ischemic stroke every year. Only in US more over 700,000 individuals meet ischemic stroke due to blood clot blocking an artery to the brain every year. The paper describes particular approach how to apply Artificial Intelligence for purposes of separating two major acute ...
arxiv
Ischemic stroke and neuroprotection
Annals of Medical and Health Sciences Research, 2012 Stroke is a major cause of morbidity and mortality in both developed and developing countries of the world. Greater understanding of the pathophysiology of neuronal damage in ischemic stroke has generated interest in neuroprotection as a management strategy.
Ikenna O Onwuekwe, B A Ezeala-Adikaibe
openaire +5 more sources