ArticleMedical & biological engineering & computing2022
Non-invasive diagnostics of blockage growth in the descending aorta-computational approach.
Article in Medical & biological engineering & computing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed, 16 citations in OpenAlex.
- Utility of Computational Modeling in Reassessing the Threshold for Intervention and Progression into Type A Aortic Dissection.Biomedicines · 2026Article
- Influence of framing coil orientation and its shape on the hemodynamics of a basilar aneurysm model.Medical & biological engineering & computing · 2024Article
- Time-dependent simulation of blood flow through an abdominal aorta with iliac arteries.European biophysics journal : EBJ · 2024Article
- Computational Modeling Approach to Profile Hemodynamical Behavior in a Healthy Aorta.Bioengineering (Basel, Switzerland) · 2024Article
- Investigation of Type A Aortic Dissection Using Computational Modelling.Biomedicines · 2024Article
- Hemodynamics in the treatment of pseudoaneurysm caused by extreme constriction of aortic arch with coated stent.Frontiers in cardiovascular medicine · 2024Article
- Prediction of Hemodynamic-Related Hemolysis in Carotid Stenosis and Aiding in Treatment Planning and Risk Stratification Using Computational Fluid Dynamics.Biomedicines · 2023Article
- Aneurysm Rupture Prediction Based on Strain Energy-CFD Modelling.Bioengineering (Basel, Switzerland) · 2023Article
- Intraluminal Thrombus Characteristics in AAA Patients: Non-Invasive Diagnosis Using CFD.Bioengineering (Basel, Switzerland) · 2023Article
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Authors and funding
3 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Atherosclerosis causes blockages to the main arteries such as the aorta preventing blood flow from delivering oxygen to the organs. Non-invasive diagnosis of these blockages is difficult, particularly in primary healthcare. In this paper, the effect of arterial blockage development and growth is investigated at the descending aorta on some possible non-invasive assessment parameters including the blood pressure waveform, wall shear stress (WSS), time-average WSS (TAWSS) and the oscillation shear index (OSI). Blockage severity growth is introduced in a simulation model as 25%, 35%, 50% and 65% stenosis at the descending aorta based on specific healthy control aorta data clinically obtained. A 3D aorta model with invasive pulsatile waveforms (blood flow and pressure) is used in the CFD simulation. Blockage severity is assessed by using blood pressure measurements at the left subclavian artery. An arterial blockage growth more than 35% of the lumen diameter significantly affects the pressure. A strong correlation is also observed between the ascending aorta pressure values, pressure at the left subclavian artery and the relative residence time (RRT). An increase of RRT downstream from the stenosis indicates a 35% stenosis at the descending aorta which results in high systolic and diastolic pressure readings. The findings of this study could be further extended by transferring the waveform reading from the left subclavian artery to the brachial artery.
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