Personalized Risk Prediction of Stroke and Silent Brain Infarction Using Computational Fluid Dynamics
Our objective is to establish the feasibility of a computational fluid dynamics (CFD)-based, left atrial (LA) regional blood flow analysis technology to predict stroke and abnormal brain MRI findings in patients with and without a history of atrial fibrillation (Afib). The proposed research will 1) identify novel biomarkers to predict stroke and silent brain infarction (SBI) in patients with and without a history of Afib, whereas the current guidelines allow risk stratification only in individuals with Afib; and 2) provide evidence for studies to evaluate prophylactic oral anticoagulation or LAA closure to reduce the risk of stroke, SBI, and cognitive decline.
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