View clinical trials related to Carotid Stenosis.
Filter by:Patients undergoing carotid endarterectomy in the Department of Vascular Surgery at Oslo University Hospital are consecutively included in this evaluation og pre- and postoperative brain MRI.
The objective of this pilot study is to analyze the differences in time to first postoperative neurological examination (cranial nerve XII - tongue movement, movement of extremities) and intraoperative hemodynamic stability with three different general anesthetic techniques that are used for carotid endarterectomy. Carotid endarterectomy surgery removes the plaque and stenosis but has a 1-3% risk of periprocedural stroke or death. The ability to detect neurological abnormalities early after surgery is vital in this patient population to facilitate timely additional diagnostics or interventions if a potential stroke is detected. Anesthetic techniques that facilitate an earlier reliable neurological exam will thus greatly benefit this surgical patient population. The primary objective of this pilot study is to determine the time difference from end of surgery to first neurologic exam between three commonly used anesthetic methods for carotid endareterectomy.
The goal of this study is to evaluate the incidence of post procedure DW-MRI lesions (relative to baseline) and debris captured in the ENROUTE Transcarotid NPS inline filter during a transcarotid stenting procedure.
The goal of this evaluation is to document the incidence of post procedure DW-MRI lesions (relative to baseline) in patients treated with the transcarotid artery revascularization (TCAR) procedure.
Observational study.
This is a phase IV, randomised, placebo-controlled, double-blind, parallel group study to determine the effect of Evolocumab treatment on carotid plaque morphology and composition in asymptomatic patients with >50% carotid artery stenosis.
This study randomises patients with patients with asymptomatic carotid artery stenosis, to be managed either by providing an intensive 12-week lifestyle modification programme, or standard healthcare.
In patients undergoing planned surgery for carotid tromendarterendectomy, a non-invasive device that registers heart rate variability is attached. Furthermore a non-invasive device that monitors cerebral oxygenation- near infrared spectroscopy as well as electroencephalography is also attached. At times when surgeons clamps the carotid artery, there will be a moment with controlled cerebral ischemia. This will be registered by the devices. The information obtained will be used to teach artificial intelligence what patterns are related to cerebral ischemia. The same procedure will be performed in patients undergoing ocklusive cerebral trombectomy, so the artificial intelligence will learn to recognize cerebral reperfusion.Blood samples will be drawn before and after cerebral ischemia may occur and will be analyzed for neurobiomarkers and cardiac biomarkers. To teach the algorithm patterns from anaesthesia and surgery in patients without pre existing neuronal injury, the same method will be applied to patients undergoing mixed abdominal surgery. This group will provide a better knowledge of neuro biomarker patterns during anesthesia and surgery.
As of today, no suitable multiparametric predictive method is available to properly estimate stroke risk in patients with carotid artery stenosis. Carotid artery stenosis is one of the proven risk factors of stroke incidence, but the indication of its intervention is merely the grade of stenosis itself. The current international guidelines suggest intervention for asymptomatic patients only with potentially high risk plaques but pharmacological treatment is advised to low risk patients. Unfortunately there is no proven and widely accepted system to distinguish these two categories of patients with carotid artery stenosis. In this project the following parameters will be assessed both in asymptomatic and symptomatic patients: 1, preoperative stroke risk prediction based on comparative analysis of CT angiography (CTA) results of plaque morphology and ultrasound (US) based plaque elastography analysis, 2) intracranial bloodflow will be measured by transcranial Doppler sonography(TCD), 3) presence recent of silent brain ischemia on diffusion weighted imaging (DWI) MR (magnetic resonance), 4) retinal perfusion measurement by optical coherence tomography angiography (OCT). The investigators aim to establish a clinically meaningful and more accurate (than stenosis grade) stroke risk prediction algorithm for asymptomatic carotid stenosis patients based on these parameters.
The study is aimed to investigate the possible role of lectin pathway - an alternative pathway of complement activation - in affecting stability of carotid atherosclerotic plaques and the possible correlations with clinical neurologic features.