View clinical trials related to Carotid Artery Diseases.
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Carotid artery disease is a main cause of ischemic stroke and vascular dementia, and a highly prevalent disease. There is uncertainty about the optimal management of patients with serendipitously or systematically detected asymptomatic carotid artery disease, due to the paucity of information on the predictive features of serious vascular events. While percent diameter stenosis is currently the accepted standard to decide about local interventions (carotid artery stenting or endarterectomy), international guidelines also recommend the evaluation of qualitative features of carotid artery disease as a guide to treatment. There is, however, no agreement on which qualitative features are best predictors of events. Furthermore, a role for metabolic plaque profile, local mechanical and hemorheologic factors in triggering microembolization and silent ischemic events has been proposed from experimental studies. This inadequate knowledge leads to a poor ability to identify patients at higher risk and to an unwarranted dispersion of medical resources, lack of standardization in diagnostic methods, and the use of expensive and resource-consuming techniques. Against this background, the investigators aim at: 1. Prospectively identifying the best predictors of (silent and overt) ischemic stroke and vascular dementia in patients with asymptomatic subcritical carotid artery disease, by identifying the non-invasive diagnostic features of the "vulnerable carotid plaque" as a possible guide for optimal - local and systemic - treatment. 2. Transferring new ultrasound techniques possibly improving risk prediction to the clinical field 3. Assess whether "smart", low-cost diagnostic methods, such as ultrasound-based evaluations integrating established and advanced techniques, may yield at least the same level of prospective information as more expensive and less cost-effective techniques.
This is an open-label, non-randomized study conducted at Thomas Jefferson University comparing pressure-gradient estimates (obtained between a carotid plaque and the carotid artery) to imaging and histology markers of plaque vulnerability. There is an inverse relationship between the subharmonic signal magnitude from contrast-enhanced ultrasound microbubbles and ambient pressure. This pressure estimation technique (referred as SHAPE) will be used to estimate the pressure gradient across the carotid plaque cap noninvasively in vivo.
The purpose of this research is assess imaging and identification of soft plaque that undergoes large deformations or strain will identify plaque vulnerable to rupture which could lead to 'silent strokes'. Validation of current study results with MRI will foster use of real-time ultrasound (US) strain imaging and strain indices as a screening tool for identifying normal human participants susceptible to increased vascular aging and developing plaque prone to rupture or micro-embolization. Current research will evaluate Lagrangian carotid strain imaging (LCSI) for prediction of vascular health on volunteers. In this study, investigators will evaluate age-related strain variations (due to plaque deposition) in the carotid artery, establishing groundwork that will help identify typical and atypical values for these indices. Investigator's hypothesis is that plaques with higher strain indices (softer plaques) are more prone to rupture than plaques with lower strain indices (stiffer) plaques, thus requiring intervention. Clinical criteria for treatment has focused primarily on the degree of stenosis. Long-term objectives are to provide non-invasive methods for screening participants at risk for vascular aging or plaque rupture in asymptomatic participants, expanding upon current criteria for risk assessments based on focal transient ischemic attack (TIA) or strokes. Variations in vessel strain have been associated with, or are precursors to, plaque deposition, vascular aging, or cerebrovascular diseases. Increased arterial strain and pressure changes have been linked to brain aging using magnetic resonance imaging (MRI) based vascular indices, and memory deficits commonly linked to Alzheimer dementia. Stiffening and thickening of the arterial walls have also been associated with cerebrovascular disease. Investigators hypothesize that strain indices as vascular biomarkers can be utilized for screening possible 'vulnerable participants' validated with MRI, with the potential ability to improve endothelial function and reverse vascular aging. Strain indices may enable differentiating study participants with vascular cognitive impairment (VCI) from other dementias. Cognitive testing is unable to make this differentiation.
Left ventricular diastolic dysfunction is caused by impaired relaxation and increased left ventricular stiffness with a consequent increase in filling pressures. Currently, it is possible to classify it in 3 grades: grade 1 with normal filling pressures, grade 2 and grade 3 with high pressures. Diastolic dysfunction is closely associated with several risk factors such as hypertension, diabetes, and obesity, as well as the risk of heart failure, cardiovascular events, and death. In the field of cerebrovascular diseases, however, diastolic dysfunction is still being researched. Thus, this study aims to: 1) evaluate the white matter hyperintensities volume in association with the increase of diastolic dysfunction and filling pressures 2) evaluate the possible association with carotid atherosclerosis in case of brain damage caused by dysfunction diastolic 3) understand the mechanism of damage caused by left ventricular diastolic dysfunction on the cerebrovascular system. In order to do this, this study proposes to evaluate in a cohort of patients, between 35 and 65 years, the possible association of diastolic dysfunction with lesions on the cerebrovascular system in a future view of new marker of brain damage and new modifiable risk factor.
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.
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.
: Use of novel radio-pharmaceutical 64CUDOTA-ECL1i to evaluate arterial atherosclrosis
This study will evaluate real-world performance of the CorPath GRX System in peripheral vascular interventions.
Stroke is the second leading cause of death in the Western world and the leading cause of major lifelong disability. About 15% of strokes are secondary to thrombosis or embolization of an unstable atheromatous carotid plaque. In these symptomatic patients, the degree of carotid stenosis is correlated with the risk of early recurrence. Patients with stenosis over 70% are therefore offered an endarterectomy, an operation to remove carotid plaque, to prevent future strokes[1]. In asymptomatic patients, the degree of stenosis is a limited predictor, and better risk stratification is required to assess the degree of plaque vulnerability and stroke risk of the patient. The therapeutic decision towards endarterectomy in addition to drug therapy is debated because of a variable and dependent benefit/risk balance for each patient. A number of imaging parameters have been studied: ulceration, heterogeneity, vascularization of the plaque for example, but their place is not well defined [2]. The usual evaluation of carotid stenosis is by conventional Doppler ultrasound with calculation of the degree of stenosis according to the NASCET criteria. For symptomatic stenoses the intervention is recommended when above 70% and is discussed from 50% to 70% of NASCET stenosis degree. For asymptomatic stenoses, the procedure is discussed when above 60% taking into account the patient's life expectancy, the risk of the surgery and the unstable nature of the plaque [2]. Destabilization of the carotid plaque is partially induced by inflammation associated with neo-vascularization. The detection of these new vessels by conventional contrast ultrasound has already shown a distinction between stable and unstable plaques, by the presence or absence of microbubbles in the plaque. However, this assessment is not very precise and only the most vascularized plaques can be detected. Ultrafast ultrasound Imaging is a new ultrasonic Imaging modality that allows detecting low speed flows, a tiny vascular structure within the vessel wall. RESEARCH HYPOTHESIS Plaques neo-vascularization would be more precisely detected and characterized by ultrafast imaging coupled with microbubble injection than conventional ultrasound imaging. A better assessment of plaque instability could improve the selection of patients for carotid endarterectomy and increase the benefit/risk ratio of this preventive surgery.