View clinical trials related to Carotid Stenosis.
Filter by:The aim of the work is to; elucidate how the presence of carotid stenosis influence the pattern of stroke and also how it interact with other risk factors for stroke. Also identify predictors of intracranial stenosis and outcome in patients with carotid stenosis with or without intracranial stenosis.
While 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET) imaging has been used as an early marker of drug efficacy in numerous clinical cardiovascular drug trials, as a glucose analog, its signal in the vasculature lacks inflammatory cell-specificity. Moreover, high background 18F-FDG signals from the myocardium often preclude coronary artery imaging, despite attempts to suppress myocardial tracer uptake by dietary manipulation. These limitations of 18F-FDG for measuring changes in vascular inflammation arising from drug intervention highlight important unmet needs, which might be overcome by using a somatostatin receptor subtype-2 (SST2) PET tracer.
Stroke is a leading cause of death and disability in the United States and around the world. The goal of this work is to develop and test a noninvasive ultrasound-based imaging technology to better identify patients at high risk of stroke so that appropriate and timely intervention may be administered to prevent it.
The purpose of this study is to determine the accuracy of a new non-invasive device, the Carotid Stenotic Scan (CSS), to check for stenosis of the internal carotid artery (ICA) as compared to a carotid duplex ultrasound study.
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.
Endarterectomy vs Stenting Asymptomatic Carotid stenosis patients to verify the efficacy and safety.
The results in carotid surgery are an indicator of the functioning of an academic surgical team, making it possible to evaluate and improve practices, as much among surgeons in training as among senior surgeons. The indications have evolved with the development of symptomatic stenosis surgery, and results analysis has allowed us to improve our practices. It would be of great use to have the statistics obtained in previous years to continue improving our practices.
Introduction: Taxinomisis trial is part of the Taxinomisis project. The concept of the Taxinomisis project is to stratify carotid artery disease relying on new modern data corresponding to contemporary patients based on information from longitudinal studies. Taxinomisis trial will validate this tool and adjust such stratification. Initial step of the project is characterization of symptomatic and asymptomatic carotid atherosclerotic plaque lesions, identification of risk and susceptibility factors through the exploitation of longitudinal cohort data and multiomics and disintegration of carotid artery disease phenotypes into endotypes through joint modeling of multipleomics data sets and systems medicine approaches. Finally such stratification model will be validated and adjusted in the Taxinomisis clinical trial.