View clinical trials related to Stroke, Ischemic.
Filter by:This multicenter prospective cohort study aims to compare the difference in the effects of medical treatment within 1 year between the two groups of ICAS patients divided hemodynamically by Magnetic Resonance Fractional Flow Reserve. PC MRA will be applied for FFR measurement. The primary outcome is the composite of ischemic stroke or death related to the qualifying artery territory for 1 year.
Endovascular therapy (EVT) added on best medical management is currently recommended in acute large vascular occlusion (LVO) stroke patients with National Institutes of Health Stroke Scale (NIHSS) score >5. Thus, a sizeable fraction of patients with a minor stroke that do not undergo cerebrovascular screening may experience an early neurological deterioration (END) due to LVO, possibly leading to poor long-term functional outcome. However, whether these patients may still benefit from a rescue EVT is unknown, especially in a late window (>24 hours). In this study, the investigators assume that best medical management plus EVT might be superior than best medical management alone in a late window for minor stroke patients who have experienced an LVO and END. The primary objective of the study was to establish the safety and efficacy of EVT in a late window for minor stroke patients in the anterior circulation who experienced an LVO and END.
The aim of this study is to compare the effectiveness of 6-weeks of reactive balance training (REACT) with and without neuromuscular electrical stimulation (NMES) to paretic lower limb muscles on biomechanical, clinical, neuromuscular and neuroplastic outcomes of reactive balance control. This project is a Phase-I study and incorporates a double-blinded, randomized controlled trial design. Methods: Forty-six individuals with chronic stroke will be recruited and screened for determining their eligibility for the study. Once enrolled, they will be randomized into either of the two groups: intervention group (23 participants) and control group (23 participants). Both groups will undergo series of pre-training assessments which includes a postural disturbance in the form of a slip- or trip-like perturbations and walking tests in laboratory environment. After the pre-training assessment, individuals will undergo 6-weeks of training (2 hour per session, 2 sessions per week). The intervention group will receive NMES with the REACT training and the control group will receive ShamNMES. NMES will be applied to the different muscle groups of the paretic lower limb using an advanced software which is able to synchronize muscle activation with the time of perturbation onset and according to the phases of gait. After training, both groups will again be tested on all the assessments performed pre training. This study will help us understand the immediate therapeutic and mechanistic effects of REACT+NMES and inform stroke rehabilitation research and clinical practice. Our study will provide foundational evidence for future use of NMES to implement clinically applicable neuromodulation adjuvants to reactive balance training, which could be leveraged for designing more effective future interventions for fall-risk reduction.
The investigators recently identified Brain-derived tau (BD-tau) as a sensitive blood-based biomarker for brain injury in acute ischemic stroke: in patients with acute ischemic stroke, plasma BD-tau was associated with imaging-based metrics of brain injury upon admission, increased within the first 24 hours in correlation with infarct progression, and at 24 hours was superior to final infarct volume in predicting 90-day functional outcome. While informing on the relation of BD-tau with imaging-based metrics of brain injury, this cross-sectional study was restricted to BD-tau assessments upon admission and at day 2 and could not inform on key characteristics of the evolution of plasma BD-tau, including when exactly it starts to rise, how long it continues to rise, and how it is determined by infarct characteristics as well as comorbidities. Here, the investigators aim to assess plasma BD-tau every hour from admission to 48 hours after onset to evaluate the hypothesis that BD-tau rises immediately after onset and plateaus between three and 48 hours after onset.
The present clinical investigation - EarlyExo, is an interventional, international, multicentric, prospective, single-blinded randomized controlled trial. This clinical investigation is designed to test the hypothesis that early and intense introduction of walking sessions assisted by the Atalante exoskeleton, in a sample of hemiparetic patients with still non or poor ambulatory capacities (FAC 0 or 1) between one- and four-months post stroke, would result in a better recovery of functional walking compared to a control group only receiving conventional therapy. Improved recovery will be measured through the proportion of patients reaching a FAC score of 4 or higher at the end of the intervention period. The tested hypothesis is that this proportion will be higher in the Exo group. The duration of the intervention period in both groups is 6 weeks. - For the Exo group: 3 sessions per week (i.e., 18 one-hour sessions) with the Atalante device and 2 sessions per week (i.e., 12 one-hour sessions) of conventional therapy. - For the Control group: 5 sessions per week of conventional therapy (i.e., 30 one-hour sessions). The study will include 66 patients (33 in each arm) and takes place in two French centers, two German centers and one Spanish center.
Background: Large vessel carotid stenosis represent significant cause of ischaemic stroke. Indication for surgical revascularisation treatment relies on severity stenosis and clinical symptoms. Mild clinical symptoms such as transient ischemic attack, amaurosis fugax or minor stroke preceded large strokes in only 15% of cases. Aim: The aim of this prospective study is to evaluate whether retinal perfusion is impacted in significant carotid stenosis. Automated retinal oximetry could be used to better evaluate perfusion in post-stenotic basin. The investigators presume the more stenotic blood vessel, the more reduced retinal perfusion is resulting in adaptive changes such as higher arteriovenous saturation difference due to greater oxygen extraction. This could help broaden the indication spectrum for revascularisation treatment for carotid stenosis. Methods: The investigators plan to enroll 50 patients a year with significant carotid stenosis and cross-examine them with retinal oximetry. Study group will provide both stenotic vessels and non-stenotic vessels forming the control group. Patients with significant carotid stenosis will undergo an MRI examination to determine the presence of asymptomatic recent ischaemic lesions in the stenotic basin, and the correlation to oximetry parameters. Statistics: Correlation between the severity of stenosis and retinal oximetry parameters will be compared to the control group of non-stenotic sides with threshold of 70%, respectively 80% and 90% stenosis. Data will be statistically evaluated at the 5% level of statistical significance. Results will be then reevaluated with emphasis on MRI findings in the carotid basin. Conclusion: This prospective case control study protocol wil be used to launch a trial assessing the relationship between significant carotid stenosis and retinal perfusion measured via automated retinal oximetry.
Chronic intracranial arterial occlusion is associated with a "bidirectional stroke risk," with a significantly increased risk of both ischemic stroke and cerebral hemorrhage. Currently, Western CTAP products, in combination with clinical expertise, offer some predictive value for assessing the risk of ischemic events by evaluating compensatory pathways and overall perfusion in chronic intracranial arterial occlusion. However, there is limited support for assessing the risk of hemorrhagic events. Our proposed project aims to address a significant scientific challenge: the precise assessment of long-term stroke risk in asymptomatic patients with chronic intracranial arterial occlusion using a machine learning-based approach. The rapidly advancing field of machine learning provides a rich set of solutions for tackling this problem. In this project, we intend to develop a deep learning-based segmentation model for key brain regions using multimodal CT scans. Subsequently, we will automate the extraction of radiomic features and CT perfusion parameters, followed by the application of machine learning techniques to construct a stroke risk prediction model tailored for patients with chronic intracranial arterial occlusion.
The purpose of this research is to better understand the impact of cortically-induced blindness (CB) and the compensatory strategies subjects with this condition may develop on naturalistic behaviors, specifically, driving. Using a novel Virtual Reality (VR) program, the researchers will gather data on steering behavior in a variety of simulated naturalistic environments. Through the combined use of computer vision, deep learning, and gaze-contingent manipulations of the visual field, this work will test the central hypothesis that changes to visually guided steering behaviors in CB are a consequence of changes to the visual sampling and processing of task-related motion information (i.e., optic flow).
The objective of this study is to evaluate the efficacy of the COOLSTAT® Transnasal Thermal Regulating Device in reducing temperature in a population of febrile subjects who meet the inclusion/exclusion criteria.
Non-Contrast Computed Tomography (NCCT) of the head is the most common imaging method used to assess patients attending the Emergency Department (ED) with a wide range of significant neurological presentations including trauma, stroke, seizure and reduced consciousness. Rapid review of the images supports clinical decision-making including treatment and onward referral. Radiologists, those reporting scans, often have significant backlogs and are unable to prioritise abnormal images of patients with time critical abnormalities. Similarly, identification of normal scans would support patient turnover in ED with significant waits and pressure on resources. To address this problem, Qure.AI has worked to develop the market approved qER algorithm, which is a software program that can analyse CT head to identify presence of abnormalities supporting workflow prioritisation. This study will trial the software in 4 NHS hospitals across the UK to evaluate the ability of the software to reduce the turnaround time of reporting scans with abnormalities that need to be prioritised.