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Abstract
Carotid artery webs (CaW) are non-atherosclerotic projections into the vascular lumen and have been linked to up to one-third of cryptogenic strokes in younger patients. Determining how CaW affects local hemodynamics is essential for understanding clot formation and stroke risk. Computational fluid dynamics simulations were used to investigate patient-specific hemodynamics in carotid artery bifurcations with CaW, bifurcations with atherosclerotic lesions having a similar degree of lumen narrowing, and with healthy carotid bifurcations. Simulations were conducted using segmented computed tomography angiography geometries with inlet boundary conditions extracted from 2D phase contrast MRI scans. The study included carotid bifurcations with CaW (n = 13), mild atherosclerosis (n = 7), and healthy bifurcation geometries (n = 6). Hemodynamic parameters associated with vascular dysfunction and clot formation, including shear rate, oscillatory shear index (OSI), low velocity, and flow stasis were calculated and compared between the subject groups. Patients with CaW had significantly larger regions containing low shear rate, high OSI, low velocity, and flow stasis in comparison to subjects with mild atherosclerosis or normal bifurcations. These abnormal hemodynamic metrics in patients with CaW are associated with clot formation and vascular dysfunction and suggest that hemodynamic assessment may be a tool to assess stroke risk in these patients.
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Details
1 Emory University, Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, USA (GRID:grid.189967.8) (ISNI:0000 0001 0941 6502); Emory University, Department of Radiology and Imaging Sciences, Atlanta, USA (GRID:grid.189967.8) (ISNI:0000 0004 1936 7398)
2 Emory University, Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, USA (GRID:grid.189967.8) (ISNI:0000 0001 0941 6502)
3 Emory University, Department of Radiology and Imaging Sciences, Atlanta, USA (GRID:grid.189967.8) (ISNI:0000 0004 1936 7398)
4 Emory University, Department of Neurology, Atlanta, USA (GRID:grid.189967.8) (ISNI:0000 0004 1936 7398)
5 Indiana University, Department of Radiology and Imaging Sciences, Indianapolis, USA (GRID:grid.257413.6) (ISNI:0000 0001 2287 3919)