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PMID: 36166139 Published · ppublish English Journal Article

Non-invasive diagnostics of blockage growth in the descending aorta-computational approach.

Medical & biological engineering & computing ·Vol. 60 ·No. 11 ·2022-11-00 ·页码 3265-3279

Al-Rawi M, Al-Jumaily AM, Belkacemi D

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.

Keywords
Atherosclerosis CFD Carreau-Yasuda model Oscillatory shear index Relative residence time
MeSH 主题词
Aorta, Thoracic/diagnostic imaging Blood Flow Velocity/physiology Computer Simulation Constriction, Pathologic Hemodynamics/physiology Humans Models, Cardiovascular Oxygen Stress, Mechanical
化学物质
Oxygen
作者与单位
共 3 位作者,点击展开单位 / ORCID
Al-Rawi Mohammad
Center for Engineering and Industrial Design (CEID), Waikato Institute of Technology (Wintec), Hamilton, New Zealand.
Al-Jumaily Ahmed M
Institute of Biomedical Technologies (IBTec), Auckland University of Technology (AUT), Auckland, New Zealand. [email protected].
Belkacemi Djelloul
Mechanics and Energetics Laboratory, Hassiba Ben Bouali University Chlef, Ouled Fares, Algeria.
Article Info
Journal
Medical & biological engineering & computing
Abbr.
Med Biol Eng Comput
ISSN
1741-0444
Corresponding email
Published
2022-11-00
电子出版
2022-00-27
页码
3265-3279
Language
English
Country/Region
United States
NLM ID
7704869
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