Introduction: This study aimed to investigate the frequency of asymptomatic intracranial and extracranial artery stenosis in healthy volunteers in Kerman, Iran, in 2019 using Doppler ultrasound imaging.
Method: This cross-sectional study was conducted on healthy volunteers in Kerman in 2019 following a public elicitation. After the general examination, 138 healthy volunteers who had no history of any disease and were not treated with any medication underwent cerebrovascular evaluation with Doppler ultrasound. Demographic information, history of addiction, and sonographic findings were recorded in a checklist and then analyzed using SPSS 22.
Results: Stenosis was found in 14.4% of volunteers. The mean age of participants was 45.8±10.12 years, and 74 (54%) of them were male. In volunteers with stenosis, a significant correlation was found between age (P = 0.03) and addiction (P = 0.04) with the involved artery. There was also a significant correlation between addiction and intracranial and extracranial artery stenosis (P = 0.04). Logistic regression analysis showed a significant relationship between being female, addiction, and age with stenosis, as well as between addiction and intracranial artery stenosis (P <0.05).
Conclusion: The majority of healthy residents of Kerman have asymptomatic cerebrovascular stenosis, and this is more prevalent in the elderly, addicts, and women.
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http://dx.doi.org/10.48305/arya.2023.11800.2455 | DOI Listing |
Sci Rep
January 2025
Department of Neurology, Inner Mongolia Autonomous Region People's Hospital, Hohhot, China.
Acute internal carotid artery occlusion (AICAO) can result in malignant cerebral edema and unfavorable patient outcomes. This study evaluated the utility of transcranial Doppler (TCD) in assessing contralateral flow compensation and predicting outcomes in patients with AICAO. We enrolled 51 patients within 6 h of symptom onset and conducted TCD examinations to evaluate collateral circulation.
View Article and Find Full Text PDFInt J Legal Med
January 2025
Department of Forensic Medicine, University of Helsinki, P.O. Box 21, Helsinki, FI-00014, Finland.
In forensic neuropathology, the β-amyloid precursor protein (β-APP) immunostain is used to diagnose axonal injury (AI). The two most common aetiologies are traumatic (TAI) and ischaemic (vascular; VAI). We aimed to identify background characteristics and neuropathology findings that are suggestive of TAI, VAI, or no AI in neuropathologically examined medico-legal autopsy cases.
View Article and Find Full Text PDFInt J Stroke
January 2025
Department of Health Security System, Center for Health Security, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
background: : Intravenous thrombolysis (IVT) for acute ischemic stroke (AIS) related to underlying intracranial artery dissection (IAD) poses potential risks, including the exacerbation of intramural hematoma and the rupture of the dissected arterial wall. However, the safety of IVT in this specific population remains uncertain.
aims:: This study aimed to assess whether IAD is associated with an increased risk of intracranial hemorrhage (ICH) following IVT and to evaluate its impact on functional outcomes.
Natl J Maxillofac Surg
November 2024
Department of Forensic Medicine and Toxicology, King George's Medical University, Lucknow, Uttar Pradesh, India.
Introduction: In Uttar Pradesh, India, there are many fatal head injuries as a result of road traffic accidents (RTAs). Studying the pattern and distribution of intracranial hemorrhages, a frequent complication of severe head trauma might provide vital information on the efficacy of traffic safety regulations. To improve road safety tactics and lower fatal head injuries in Uttar Pradesh, this study intends to assess the effect of road safety measures on the frequency and distribution of intracranial hemorrhages in fatal head injury patients.
View Article and Find Full Text PDFOral Surg Oral Med Oral Pathol Oral Radiol
December 2024
Department of Biomedical Informatics, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, USA.
Objectives: This study evaluated an automated deep learning method for detecting calcifications in the extracranial and intracranial carotid arteries and vertebral arteries in cone beam computed tomography (CBCT) scans. Additionally, a model utilizing CBCT-derived radiomics imaging biomarkers was evaluated to predict the cardiovascular diseases (CVD) of stroke and heart attack.
Methods: Models were trained using the nn-UNet architecture to identify three locations of arterial calcifications: extracranial carotid calcification (ECC), intracranial carotid calcification (ICC), and vertebral artery calcification (VAC).
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