ArticleComputers in biology and medicine2019
Geometric determinants of local hemodynamics in severe carotid artery stenosis.
Article in Computers in biology and medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Atherosclerotic middle cerebral artery stenosis: adjacent arterial geometry, hemodynamics and plaque features.Japanese journal of radiology · 2026Article
- Newly Proposed Method With Noise-Reduction and Smoothing for Computational Fluid Dynamics Using Low-Resolution Medical Images.International journal for numerical methods in biomedical engineering · 2025Article
- The Effect of Lesion Length on Doppler Velocities Used Routinely to Determine Carotid Stenosis Cross-Sectional Severity.Diagnostics (Basel, Switzerland) · 2025Article
- Machine learning-based prediction of hemodynamic parameters in left coronary artery bifurcation: A CFD approach.Heliyon · 2025Article
- Enhancing cardiac assessments: accurate and efficient prediction of quantitative fractional flow reserve.Frontiers in bioengineering and biotechnology · 2025Article
- Article
- Multimodal monitoring of cerebral perfusion in carotid endarterectomy patients: a computational fluid dynamics study.Frontiers in neurology · 2024Article
- Bio-inspired microfluidics: A review.Biomicrofluidics · 2023Review
- Length of Carotid Plaque Impacts Retinal Microvascular Densities of Carotid Artery Stenosis Patients.Translational vision science & technology · 2023Article
- Acute Mechanical Consequences of Vessel-Specific Coronary Bypass Combinations.Cardiovascular engineering and technology · 2023Article
- Non-invasive diagnostics of blockage growth in the descending aorta-computational approach.Medical & biological engineering & computing · 2022Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
In cases of severe carotid artery stenosis (CAS), carotid endarterectomy (CEA) is performed to recover lumen patency and alleviate stroke risk. Under current guidelines, the decision to surgically intervene relies primarily on the percent loss of native arterial lumen diameter within the stenotic region (i.e. the degree of stenosis). An underlying premise is that the degree of stenosis modulates flow-induced wall shear stress elevations at the lesion site, and thus indicates plaque rupture potential and stroke risk. Here, we conduct a retrospective study on pre-CEA computed tomography angiography (CTA) images from 50 patients with severe internal CAS (>60% stenosis) to better understand the influence of plaque and local vessel geometry on local hemodynamics, with geometrical descriptors that extend beyond the degree of stenosis. We first processed CTA images to define a set of multipoint geometric metrics characterizing the stenosed region, and next performed computational fluid dynamics simulations to quantify local wall shear stress and associated hemodynamic metrics. Correlation and regression analyses were used to relate obtained geometric and hemodynamic metrics, with inclusion of patient sub-classification based on the degree of stenosis. Our results suggest that in the context of severe CAS, prediction of shear stress-based metrics can be enhanced by consideration of readily available, multipoint geometric metrics in addition to the degree of stenosis.
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