Non-invasive diagnostics of blockage growth in the descending aorta-computational approach.
Atherosclerosis
CFD
Carreau-Yasuda model
Oscillatory shear index
Relative residence time
Journal
Medical & biological engineering & computing
ISSN: 1741-0444
Titre abrégé: Med Biol Eng Comput
Pays: United States
ID NLM: 7704869
Informations de publication
Date de publication:
Nov 2022
Nov 2022
Historique:
received:
05
04
2021
accepted:
12
09
2022
pubmed:
28
9
2022
medline:
12
10
2022
entrez:
27
9
2022
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 36166139
doi: 10.1007/s11517-022-02665-2
pii: 10.1007/s11517-022-02665-2
pmc: PMC9537206
doi:
Substances chimiques
Oxygen
S88TT14065
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
3265-3279Informations de copyright
© 2022. The Author(s).
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