ArticleFrontiers in physiology2016
Development of a Patient-Specific Multi-Scale Model to Understand Atherosclerosis and Calcification Locations: Comparison with In vivo Data in an Aortic Dissection.
Article in Frontiers in physiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 41 citations in OpenAlex.
- Clinical and Computational Analysis of Left Subclavian Artery Coverage on High-Risk Blunt Thoracic Aortic Injury.Journal of clinical medicine · 2026Article
- Fluid-Structure Interaction Analysis of Hyoid Bone-Induced Compression on Carotid Artery Hemodynamics.Biomedical engineering and computational biology · 2026Article
- Left atrial wall shear stress correlates with fibrosis in patients with atrial fibrillation.Nature cardiovascular research · 2025Observational
- Patient-Specific Numerical Simulations of Coronary Artery Hemodynamics and Biomechanics: A Pathway to Clinical Use.Cardiovascular engineering and technology · 2024Review
- Computationally Enhanced, Haemodynamic Case Study of Neointimal Hyperplasia Development in a Dialysis Access Fistula.Reviews in cardiovascular medicine · 2024Article
- Effect of Beta Blockers on the Hemodynamics and Thrombotic Risk of Coronary Artery Aneurysms in Kawasaki Disease.Journal of cardiovascular translational research · 2023Article
- Numerical modeling of residual type B aortic dissection: longitudinal analysis of favorable and unfavorable evolution.Medical & biological engineering & computing · 2022Article
- A stable and quantitative method for dimensionality reduction of aortic centerline.Frontiers in cardiovascular medicine · 2022Article
- The effect of beta-blockers on hemodynamic parameters in patient-specific blood flow simulations of type-B aortic dissection: a virtual study.Scientific reports · 2021Article
- The effect of coarctation degrees on wall shear stress indices.Scientific reports · 2021Article
- Multiscale, patient-specific computational fluid dynamics models predict formation of neointimal hyperplasia in saphenous vein grafts.Journal of vascular surgery cases and innovative techniques · 2020Article
- A multiscale modelling approach to understand atherosclerosis formation: A patient-specific case study in the aortic bifurcation.Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine · 2017Article
- Multi-component model of intramural hematoma.Journal of biomechanics · 2017Article
- Understanding the Effect of Statins and Patient Adherence in Atherosclerosis via a Quantitative Systems Pharmacology Model Using a Novel, Hybrid, and Multi-Scale Approach.Frontiers in pharmacology · 2017Article
- Patient-Specific, Multi-Scale Modeling of Neointimal Hyperplasia in Vein Grafts.Frontiers in physiology · 2017Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Vascular calcification results in stiffening of the aorta and is associated with hypertension and atherosclerosis. Atherogenesis is a complex, multifactorial, and systemic process; the result of a number of factors, each operating simultaneously at several spatial and temporal scales. The ability to predict sites of atherogenesis would be of great use to clinicians in order to improve diagnostic and treatment planning. In this paper, we present a mathematical model as a tool to understand why atherosclerotic plaque and calcifications occur in specific locations. This model is then used to analyze vascular calcification and atherosclerotic areas in an aortic dissection patient using a mechanistic, multi-scale modeling approach, coupling patient-specific, fluid-structure interaction simulations with a model of endothelial mechanotransduction. A number of hemodynamic factors based on state-of-the-art literature are used as inputs to the endothelial permeability model, in order to investigate plaque and calcification distributions, which are compared with clinical imaging data. A significantly improved correlation between elevated hydraulic conductivity or volume flux and the presence of calcification and plaques was achieved by using a shear index comprising both mean and oscillatory shear components (HOLMES) and a non-Newtonian viscosity model as inputs, as compared to widely used hemodynamic indicators. The proposed approach shows promise as a predictive tool. The improvements obtained using the combined biomechanical/biochemical modeling approach highlight the benefits of mechanistic modeling as a powerful tool to understand complex phenomena and provides insight into the relative importance of key hemodynamic parameters.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.