Active clinical trials for "Carotid Artery Diseases"

The ROADSTER 2 Study is intended to evaluate real world usage of the ENROUTE Transcarotid Stent when used with the ENROUTE Transcarotid Neuroprotection System by physicians of varying experience with the transcarotid technique.

To determine the rate of progression of sub-clinical cardiovascular disease as measured in carotid intimal medial thickness over a period of 8 to 10 years.

To determine whether the degree of carotid artery atherosclerosis, as measured by B-mode ultrasound, predicts the development of myocardial infarction, stroke, and all-cause mortality in patients with angiographically defined coronary status. Also, to quantify the rate of progression of carotid artery disease and to evaluate the risk factors associated with progression of carotid atherosclerosis.

Aim of the present study is to investigate molecular and clinical markers in patients with atherosclerotic carotid stenosis (ACAS) in the ischemic stroke acute phase.

Prospective, multicentric, multispecialty, international, open-label, single arm study using per-protocol intravascular ultrasound [IVUS, 20MHz electronic phase-array transducer] to document the procedure result of an effective plaque exclusion from the vessel lumen.

Prospective, single center clinical study in consecutive patients with symptoms or signs of carotid stenosis related ischemic cerebral injury undergoing carotid revascularization in primary and secondary stroke prevention. MicroNET-covered stent is implanted using direct carotid artery access and temporary flow reversal to combine optimal intraprocedural cerebral protection and optimal plaque exclusion.

Cerebrovascular disease is a leading cause of death and the leading cause of serious long-term disability. Carotid artery stenting (CAS) and carotid endarterectomy (CEA) are alternative strategies for stroke prevention in patients with atherosclerotic carotid disease.The safety and efficacy of CAS compared to CEA still remains questioned, and CEA has been considered to the first-line treatment of carotid stenosis in worldwide. The purpose of this study is to compare the practice and outcomes of CAS and CEA in a real world setting at Public University Hospitals in Brazil.

The Canadian Atherosclerosis Imaging Network (CAIN) is a pan-canadian imaging network funded through grants from the Canadian Foundation for Innovation (CFI) and the Canadian Institutes of Health Research (CIHR). This unique research network is focused on the pathobiology of atherosclerotic disease as it pertains to the coronary and carotid circulations. The CAIN research program involves the creation of a unique national network focused on in vivo imaging of vessel wall disease, combined with imaging of occult end-organ disease as well as the acquisition of clinical and pathological end points. CAIN enables unprecedented cross-sectional and longitudinal clinical studies of patients with atherosclerotic disease in coronary or carotid vascular beds, and has established an international resource for studying the natural history, progression, regression and novel therapeutic interventions aimed at atherosclerosis. The primary outcome of this study is to accurately characterise carotid plaque morphology in non-surgical patients with mild to severe (30-95%) carotid disease. The investigators will also assess evidence of ischaemic brain disease. Patients will undergo MRI scanning of the brain and carotid and US scanning of the carotid at baseline and thereafter at 1 and 2 years or sooner if presenting clinically in order to monitor the natural history of carotid atherosclerosis and its effect on end-organ brain disease. Patients will consent to baseline scanning and follow up at 1 and 2 years, and databasing of clinical and imaging data. After each imaging session images will be processed, stored locally and also sent to a central repository. 500 patients will be recruited over a 2 year period in anticipation of study completion within 4 years.

The aim of this study is to investigate the association of sonographic and histological features of the plaque among each other and with biomarkers of cardiovascular risk. The predictive value of these factors concerning the long-term clinical outcome after carotid endarterectomy will also be assessed. This may help to improve the identification of patients with carotid artery stenosis who will benefit most from carotid endarterectomy. The investigators major hypothesis is that the morphology of carotid plaques is associated with objectifiable sonographic parameters, in particular with the greyscale median. Second, the investigators hypothesize that sonographic and histological plaque morphology are associated with certain biomarkers of cardiovascular risk. Identification of 'vulnerable plaques' on the basis of a peripheral blood draw and a sonographic investigation may enable the treating physician to focus resources on patients who will benefit most form therapeutic interventions for primary prevention of ischemic stroke.

Stroke is a common clinical disease with high disability and mortality, which seriously threatens human life and health.Carotid atherosclerotic plaque rupture is an important pathogenic basis of ischemic stroke, so judging the stability of plaque has important clinical significance in preventing ischemic stroke.Ultrasound, as a convenient, rapid, noninvasive, radiation-free auxiliary examination technology, is widely used in carotid plaque stability examination.At present, there are many methods to judge the stability of carotid plaque based on ultrasound, including two-dimensional ultrasound, contrast-enhanced ultrasound, ultrasound elastography and so on. However, the results of plaque stability judgment by various technologies deviate greatly, which is not conducive to the development of standardized diagnosis and treatment strategies by clinicians.Studies have shown that because the neovascular epidermal cells in atherosclerotic plaques are imperfect, they are easy to rupture after stress, and the ruptured neovasculature will lead to intraplaque hemorrhage, thus causing plaque shedding, and eventually obstructing the cerebrovascular cause stroke.Contrast-enhanced ultrasound can sensitively detect the distribution and course of blood vessels.The plaque's softness and hardness determine its stability, while the difference of lipids, fibers and calcium in the plaque determines its softness and hardness.Real-time ultrasound elastography can provide tissue mechanical parameters, express the soft and hard of tissue with strain value, and provide important reference information for judging plaque stability.At present, elastography technology is used to reflect the hardness of plaque, so as to further judge its stability.However, the elastography parameters are prone to deviations due to the influence of the selected section and the selected region of interest.Deep learning is the hottest research method in AI at present. [Deep learning is essentially to construct machine learning models with multiple hidden layers, and use large-scale data to train to obtain a large number of more representative feature information, so as to use these features to classify and predict samples. At present, it is widely used in the field of image analysis and plays an important role in medicine.Such as pathological image detection, regulatory genomics research, diagnosis of retinopathy and quantitative analysis of liver fibrosis, etc.Computational Fluid Dynamics (CFD) is a new discipline developed by the combination of numerical calculation and classical fluid mechanics theory. It can make it convenient for researchers to build a geometric model of cardiovascular system, simulate the real structure of vascular wall and blood, and display the results of "numerical experiments" using visualization technology.More intuitive Comprehensive response to changes in hemodynamic parameters In recent years, its application in cardiovascular hemodynamic research has become increasingly widespread, with a large number of relevant literature reports However, no report has been reported on the study of carotid plaque stability and fluid dynamics using this technology Based on the above reasons,This study attempts to use AI technology to automatically identify and quantitatively evaluate the gray scale differences of plaques, elastic image characteristics of plaques, microvessel density division of plaque contrast-enhanced ultrasound, and velocity vector imaging (VVI) to determine plaque surface stress.To study the effect of hemodynamic parameters on carotid plaque using CFD technology, and to establish a systematic comprehensive evaluation system for carotid plaque stability, which integrates two-dimensional plaque information, texture information, microcirculation perfusion information, biomechanical information and blood flow field information, and combines the results of clinical follow-up and collagen fiber content of surgical specimens, MMP9/CD34 and other examinations.