Background: More insights in the etiopathogenesis of thrombi could be helpful in the treatment of patients with acute ischemic stroke (AIS). One of the most confident and early imaging findings of stroke includes arterial hyperdensity. The purpose of this study was to determine whether thrombi's density and length would be useful for predicting their origin.
Methods: We evaluated 68 consecutive patients with AIS to correlate the presence of thrombi and their imaging features with the stroke subtype.
Results: After excluding patients with small-artery occlusion mechanism and undetermined and other causes, the stroke etiologic subtypes were large-artery atherosclerosis (LAA) in 59.0% of the patients, cardioembolism in 31.0%, and cervical artery dissection (CAD) in 10.0%. CAD more often caused thrombi with the longest length and highest attenuation, while thrombi that originated from the LAA had the smallest length and lowest attenuation. The mean Hounsfield unit (HU) values of all thrombi (with and without hyperdensity) on noncontrast computed tomography were 62.4 (50.0-70.0) in CAD, 53.8 (42.0-65.0) in cardioembolism, and 48.6 (27.0-65.0) in LAA. The length measurements were 28.5 mm (12.0-52.0) in CAD, 13.7 mm (5.0-31.0) in cardioembolism, and 10.8 mm (3.0-25.0) in the LAA subtype. The minimum cutoff value of 60 HU and a length greater than 20 mm were able to discriminate the CAD thrombi with an accuracy of 86.8% and 92.6%, respectively.
Conclusion: Our study findings show how important thrombus analysis is in patients with AIS. Thrombus analysis can allow early suspicion of CAD before dedicated imaging of the cervical arteries is performed.
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http://dx.doi.org/10.1016/j.jstrokecerebrovasdis.2015.09.007 | DOI Listing |
Front Biosci (Schol Ed)
December 2024
Laboratory of Genomic Research, Research Institute for Genetic and Molecular Epidemiology, Kursk State Medical University, 305041 Kursk, Russia.
Background: Disruptions in proteostasis are recognized as key drivers in cerebro- and cardiovascular disease progression. Heat shock proteins (HSPs), essential for maintaining protein stability and cellular homeostasis, are pivotal in neuroperotection. Consequently, deepening the understanding the role of HSPs in ischemic stroke (IS) risk is crucial for identifying novel therapeutic targets and advancing neuroprotective strategies.
View Article and Find Full Text PDFJ Integr Neurosci
December 2024
Laboratory of Genomic Research, Research Institute for Genetic and Molecular Epidemiology, Kursk State Medical University, 305041 Kursk, Russia.
Background: Heat shock proteins (HSPs) play a critical role in the molecular mechanisms of ischemic stroke (IS). A possible role for HSP40 family proteins in atherosclerosis progression has already been revealed; however, to date, molecular genetic studies on the involvement of genes encoding proteins of the HSP40 family in IS have not yet been carried out.
Aim: We sought to determine whether nine single nucleotide polymorphisms (SNPs) in genes encoding HSP40 family proteins (, , , , and ) are associated with the risk and clinical features of IS.
J Integr Neurosci
December 2024
Department of Neurology, Hainan West Central Hospital, 571799 Danzhou, Hainan, China.
Background: Ischemic stroke (IS) is the leading cause of mortality worldwide. Herein, we aimed to identify novel biomarkers and explore the role of C-type lectin domain family 7 member A () in IS.
Methods: Differentially expressed genes (DEGs) were screened using the GSE106680, GSE97537, and GSE61616 datasets, and hub genes were identified through construction of protein-protein interaction networks.
CJC Open
December 2024
Division of Cardiology, Toronto General Hospital, University of Toronto, Toronto, Ontario, Canada.
Background: Mitral annular calcification (MAC) is a common chronic degenerative process of the mitral valve. Thrombus formation on MAC is a rare complication that likely contributes to the increased risk of thromboembolic events. Outcomes and management strategies for this condition are unknown.
View Article and Find Full Text PDFCureus
November 2024
Neurology, NeuroCareAI, Dallas, USA.
Stroke remains a critical global health challenge, with ischemic stroke comprising most cases and necessitating rapid, effective treatment to improve patient outcomes. This review explores the integration of artificial intelligence (AI) and machine learning into medical devices for stroke triaging, highlighting their impact on reducing notification times, latency in care, and health disparities. By analyzing Food and Drug Administration-approved AI-enabled devices under the "Radiological computer-assisted triage and notification software" regulation category, we assess their sensitivity, specificity, and time-to-notification as the measure of their overall effectiveness in clinical settings.
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