ArticleTechnology and health care : official journal of the European Society for Engineering and Medicine2022
Computational analysis of aortic haemodynamics in the presence of ascending aortic aneurysm.
Article in Technology and health care : official journal of the European Society for Engineering and Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- Systematic Review of the Application of Computational Fluid Dynamics for Adult Aortic Diseases.Reviews in cardiovascular medicine · 2023Pooled it
- Clinical and Computational Analysis of Left Subclavian Artery Coverage on High-Risk Blunt Thoracic Aortic Injury.Journal of clinical medicine · 2026Article
- Utility of Computational Modeling in Reassessing the Threshold for Intervention and Progression into Type A Aortic Dissection.Biomedicines · 2026Article
- Changes in local hemodynamic forces associated with arch branched endografts.JVS-vascular science · 2026Article
- A combined 4D flow MR imaging and fluid-structure interaction analysis of ascending thoracic aortic aneurysms.Biomechanics and modeling in mechanobiology · 2025Article
- Hemodynamic Analysis in Aortic Dilatation after Arterial Switch Operation for Patients with Transposition of Great Arteries Using Computational Fluid Dynamics.Journal of cardiovascular translational research · 2025Article
- Computational Modeling Approach to Profile Hemodynamical Behavior in a Healthy Aorta.Bioengineering (Basel, Switzerland) · 2024Article
- Stress Load and Ascending Aortic Aneurysms: An Observational, Longitudinal, Single-Center Study Using Computational Fluid Dynamics.Bioengineering (Basel, Switzerland) · 2024Article
- First insights into the role of wall shear stress in the development of a distal stent graft induced new entry through computational fluid dynamics simulations.Journal of thoracic disease · 2023Article
- Modelling blood flow in patients with heart valve disease using deep learning: A computationally efficient method to expand diagnostic capabilities in clinical routine.Frontiers in cardiovascular medicine · 2023Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe usefulness of numerical modelling of a patient's cardiovascular system is growing in clinical treatment. Understanding blood flow mechanics can be crucial in identifying connections between haemodynamic factors and aortic wall pathologies.
objectiveThis work investigates the haemodynamic parameters of an ascending aorta and ascending aortic aneurysm in humans.
methodsTwo aortic models were constructed from medical images using the SimVascular software. FEM blood flow modelling of cardiac cycle was performed using CFD and CMM-FSI at different vascular wall parameters.
resultsThe results showed that highest blood velocity was 1.18 m/s in aorta with the aneurysm and 1.9 m/s in healthy aorta model. The largest displacements ware in the aorta with the aneurysm (0.73 mm). In the aorta with the aneurysm, time averaged WSS values throughout the artery range from 0 Pa to 1 Pa. In the healthy aorta, distribution of WSS values changes from 0.3 Pa to 0.6 Pa.
conclusionsIn the case of an ascending aortic aneurysm, the maximum blood velocity was found to be 1.6 times lower than in the healthy aorta. The aneurysm-based model demonstrates a 45% greater wall displacement, while the oscillatory shear index decreased by 30% compared to healthy aortic results.
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