• Filter By:
• Specialty
• Source
• Condition
• Cancer
• Infectious Disease
• Drug
• Training
• Management
• Procedure
• Therapy
• Vaccine
• Nutrition
• Country

CA-UNet Segmentation Makes a Good Ischemic Stroke Risk Prediction
AbstractStroke is still the World ’s second major factor of death, as well as the third major factor of death and disability. Ischemic stroke is a type of stroke, in which early detection and treatment are the keys to preventing ischemic strokes. However, due to the limitation of privacy protection and labeling difficulties, there are only a few studies on the intelligent automatic diagnosis of stroke or ischemic stroke, and the results are unsatisfactory. Therefore, we collect some data and propose a 3D carotid Computed Tomography Angiography (CTA) image segmentation model called CA-UNet for fully automated extraction o...
Source: Interdisciplinary Sciences, Computational Life Sciences - August 26, 2023 Category: Bioinformatics Source Type: research

Integration of Real-Time Electronic Health Records and Wireless Technology in a Mobile Stroke Unit
Background: UCHealth's Mobile Stroke Unit (MSU) at University of Colorado Hospital is an ambulance equipped with a computed tomography (CT) scanner and tele-stroke capabilities that began clinical operation in Aurora, Colorado January 2016. As one of the first MSU's in the United States, it was necessary to design unique and dynamic information technology infrastructure. This includes high-speed cellular connectivity, Health Insurance Portability and Accountability Act compliance, cloud-based and remote access to electronic medical records (EMR), and reliable and rapid image transfer.
Source: Journal of Stroke and Cerebrovascular Diseases - July 11, 2019 Category: Neurology Authors: Brandi Schimpf, Kathy Deanda, David A. Severenuk, Tara M. Montgomery, Gregory D. Cooley, Robert G. Kowalski, Daniel Vela-Duarte, William J. Jones Source Type: research

Clinical outcomes of stroke in hemodialysis patients: a retrospective single-center study
ConclusionsStroke outcome in these patients is dismal with prolonged hospital stay, poor functional status at discharge, very limited response to rehabilitation, and increased mortality.
Source: International Urology and Nephrology - June 30, 2019 Category: Urology & Nephrology Source Type: research

Combination of Dexmedetomidine and Ketamine for Magnetic Resonance Imaging Sedation
Conclusions: The efficacy of DEX–KET sedation was comparable to that of midazolam for MRI examination. DEX–KET was related to shorter scan time and lower occurrence of complications compared to midazolam. Introduction Neurocritically ill patients often require brain magnetic resonance imaging (MRI) in addition to conventional neurological evaluations. Brain MRI can reveal structural lesions with a high sensitivity due to its excellent spatial resolution and enhanced soft tissue contrast (1–3). To acquire MRI images, patients' cooperation is imperative. However, keeping patients with ...
Source: Frontiers in Neurology - April 23, 2019 Category: Neurology Source Type: research

Comorbidities Related to Clinical Outcomes in Patients With Acute Ischemic Stroke Undergoing Mechanical Thrombectomy: Review of Literature and Experience at a Single Comprehensive Stroke Center.
Conclusion: Hypertension, peripheral artery disease, and younger age at presentation are correlated with poor functional outcome in patients with acute ischemic stroke undergoing MT. PMID: 30983896 [PubMed]
Source: Ochsner Journal - April 17, 2019 Category: General Medicine Tags: Ochsner J Source Type: research

Prediction of intracerebral haemorrhage expansion with clinical, laboratory, pharmacologic, and noncontrast radiographic variables
ConclusionClinical and noncontrast radiographic variables only weakly predict hematoma expansion. Examination of other indicators, such as computed tomographic angiography contrast extravasation (the ‘spot sign’), may prove more valuable in acute intracerebral haemorrhage care.
Source: International Journal of Stroke - April 1, 2015 Category: Neurology Authors: Sheila Chan, Carol Conell, Kaivalya T. Veerina, Vivek A. Rao, Alexander C. Flint Tags: Research Source Type: research