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In-silico Analysis of In-stent Restenosis Prediction of Stented Renal Artery

In-stent restenosis (ISR) is a common complication after renal artery stenting, and stent design may influence the formation of ISR. This study aims to predict the effect of stent design on the risk of ISR formation after renal artery stenting. Using computer-aided design, a simplified renal artery...

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Main Authors: Nurin Tihani, Nazemi, Muhammad Faiz, Md Shakhih, Mohamad Ikhwan, Kori, Rudiyanto, Philman Jong, Kahar, Osman, Ishkrizat, Taib
Format: Article
Language:English
Published: Universiti Teknologi MARA (UiTM), Malaysia 2024
Subjects:
RZ Other systems of medicine
TJ Mechanical engineering and machinery
Online Access:http://ir.unimas.my/id/eprint/46724/1/2.JMECHE-2023-0210.pdf
http://ir.unimas.my/id/eprint/46724/
https://jmeche.uitm.edu.my/browse-journals/special-issues/special-issue-2024-vol-13/
https://doi.org/10.24191/jmeche.v13i1.3754
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spelling my.unimas.ir-467242024-11-27T01:46:11Z http://ir.unimas.my/id/eprint/46724/ In-silico Analysis of In-stent Restenosis Prediction of Stented Renal Artery Nurin Tihani, Nazemi Muhammad Faiz, Md Shakhih Mohamad Ikhwan, Kori Rudiyanto, Philman Jong Kahar, Osman Ishkrizat, Taib RZ Other systems of medicine TJ Mechanical engineering and machinery In-stent restenosis (ISR) is a common complication after renal artery stenting, and stent design may influence the formation of ISR. This study aims to predict the effect of stent design on the risk of ISR formation after renal artery stenting. Using computer-aided design, a simplified renal artery model was modelled and later assembled with stents similar to commercial stents. Computational Fluid Mechanics (CFD) analysis was employed to simulate the blood flow in these stented models. Stent 1 exhibited superior hemodynamic performance with minimal low Wall Shear Stress (WSS) exposure in the stented region. Additionally, the study found that the thinnest Stent 1 was the most effective in reducing the risk of ISR formation. Thus, stent strut configuration with large spacing may reduce ISR risk, with the thinnest Stent 1 design showed promising performance in mitigating ISR. Hence, it is worth further investigation. Universiti Teknologi MARA (UiTM), Malaysia 2024-11-15 Article PeerReviewed text en http://ir.unimas.my/id/eprint/46724/1/2.JMECHE-2023-0210.pdf Nurin Tihani, Nazemi and Muhammad Faiz, Md Shakhih and Mohamad Ikhwan, Kori and Rudiyanto, Philman Jong and Kahar, Osman and Ishkrizat, Taib (2024) In-silico Analysis of In-stent Restenosis Prediction of Stented Renal Artery. Journal of Mechanical Engineering, SI (13). pp. 17-30. ISSN 2550-164X https://jmeche.uitm.edu.my/browse-journals/special-issues/special-issue-2024-vol-13/ https://doi.org/10.24191/jmeche.v13i1.3754
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic RZ Other systems of medicine
TJ Mechanical engineering and machinery
spellingShingle RZ Other systems of medicine
TJ Mechanical engineering and machinery
Nurin Tihani, Nazemi
Muhammad Faiz, Md Shakhih
Mohamad Ikhwan, Kori
Rudiyanto, Philman Jong
Kahar, Osman
Ishkrizat, Taib
In-silico Analysis of In-stent Restenosis Prediction of Stented Renal Artery
description In-stent restenosis (ISR) is a common complication after renal artery stenting, and stent design may influence the formation of ISR. This study aims to predict the effect of stent design on the risk of ISR formation after renal artery stenting. Using computer-aided design, a simplified renal artery model was modelled and later assembled with stents similar to commercial stents. Computational Fluid Mechanics (CFD) analysis was employed to simulate the blood flow in these stented models. Stent 1 exhibited superior hemodynamic performance with minimal low Wall Shear Stress (WSS) exposure in the stented region. Additionally, the study found that the thinnest Stent 1 was the most effective in reducing the risk of ISR formation. Thus, stent strut configuration with large spacing may reduce ISR risk, with the thinnest Stent 1 design showed promising performance in mitigating ISR. Hence, it is worth further investigation.
format Article
author Nurin Tihani, Nazemi
Muhammad Faiz, Md Shakhih
Mohamad Ikhwan, Kori
Rudiyanto, Philman Jong
Kahar, Osman
Ishkrizat, Taib
author_facet Nurin Tihani, Nazemi
Muhammad Faiz, Md Shakhih
Mohamad Ikhwan, Kori
Rudiyanto, Philman Jong
Kahar, Osman
Ishkrizat, Taib
author_sort Nurin Tihani, Nazemi
title In-silico Analysis of In-stent Restenosis Prediction of Stented Renal Artery
title_short In-silico Analysis of In-stent Restenosis Prediction of Stented Renal Artery
title_full In-silico Analysis of In-stent Restenosis Prediction of Stented Renal Artery
title_fullStr In-silico Analysis of In-stent Restenosis Prediction of Stented Renal Artery
title_full_unstemmed In-silico Analysis of In-stent Restenosis Prediction of Stented Renal Artery
title_sort in-silico analysis of in-stent restenosis prediction of stented renal artery
publisher Universiti Teknologi MARA (UiTM), Malaysia
publishDate 2024
url http://ir.unimas.my/id/eprint/46724/1/2.JMECHE-2023-0210.pdf
http://ir.unimas.my/id/eprint/46724/
https://jmeche.uitm.edu.my/browse-journals/special-issues/special-issue-2024-vol-13/
https://doi.org/10.24191/jmeche.v13i1.3754
_version_ 1817848759511416832
score 13.223943

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