Validation of 3D Simulations in Embolic Stroke
NCT05055960 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 100
Last updated 2023-05-10
Summary
Stroke is a common condition which results in significant disability for patients. There are different causes of stroke, but around one quarter are as a result of clots or other material from the heart lodging in blood vessels in the brain, stopping the blood supply to that area. Atrial fibrillation is a common cause of blood clots which go to the brain and can be easily treated with blood thinning medications, which significantly reduce the risk of further strokes. However, at the moment, atrial fibrillation is difficult to identify, and heart monitoring can be needed for up to one year. This significantly delays starting blood thinning medications and leaves patients at risk of stroke during this time. Therefore, better ways of picking up strokes caused by atrial fibrillation are needed. One such method may be to use brain scans which are routinely taken at the time a patient presents with an acute stroke. By using mathematical models to work out the source of stroke, we may be able to determine which strokes are caused by atrial fibrillation at the time the patient presents with their stroke. This would reduce the number of investigations patients under-go, saving money for the NHS, and reducing the number of tests patients have. Therefore, the aim of this project is to create an anonymised database of brain scans from patients who have presented to hospital with a stroke to develop and test these recently developed models to see if they can accurately identify which strokes are caused by atrial fibrillation, and which ones are not. This project has the potential to improve patient outcomes by reducing treatment delays and improving the accuracy of the diagnosis of the stroke source.
Conditions
Interventions
- DIAGNOSTIC_TEST
-
Stroke simulation and machine learning
Using simulation and machine learning approaches to classify the source of embolic stroke.
Sponsors & Collaborators
-
Open University
collaborator OTHER -
University of Leicester
lead OTHER
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2021-11-12
- Primary Completion
- 2024-09-01
- Completion
- 2024-09-01
Countries
- United Kingdom
Study Locations
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