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In-silico analysis of in-stent restenosis prediction of stented renal artery / Nurin Tihani Nazemi ... [et al.]

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: Nazemi, Nurin Tihani, Md Shakhih, Muhammad Faiz, Kori, Mohamad Ikhwan, Jong, Rudiyanto Philman, Osman, Kahar, Taib, Ishkrizat
Format: Article
Language:English
Published: UiTM Press 2024
Subjects:
Surgery by region, system, or organ
Composite materials.
Online Access:https://ir.uitm.edu.my/id/eprint/105976/1/105976.pdf
https://ir.uitm.edu.my/id/eprint/105976/
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spelling my.uitm.ir.1059762024-11-20T08:17:29Z https://ir.uitm.edu.my/id/eprint/105976/ In-silico analysis of in-stent restenosis prediction of stented renal artery / Nurin Tihani Nazemi ... [et al.] jmeche Nazemi, Nurin Tihani Md Shakhih, Muhammad Faiz Kori, Mohamad Ikhwan Jong, Rudiyanto Philman Osman, Kahar Taib, Ishkrizat Surgery by region, system, or organ Composite materials. 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. UiTM Press 2024-11 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/105976/1/105976.pdf In-silico analysis of in-stent restenosis prediction of stented renal artery / Nurin Tihani Nazemi ... [et al.]. (2024) Journal of Mechanical Engineering (JMechE) <https://ir.uitm.edu.my/view/publication/Journal_of_Mechanical_Engineering_=28JMechE=29/>, 13 (1): 2. pp. 17-30. ISSN 1823-5514 ; 2550-164X
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Surgery by region, system, or organ
Composite materials.
spellingShingle Surgery by region, system, or organ
Composite materials.
Nazemi, Nurin Tihani
Md Shakhih, Muhammad Faiz
Kori, Mohamad Ikhwan
Jong, Rudiyanto Philman
Osman, Kahar
Taib, Ishkrizat
In-silico analysis of in-stent restenosis prediction of stented renal artery / Nurin Tihani Nazemi ... [et al.]
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 Nazemi, Nurin Tihani
Md Shakhih, Muhammad Faiz
Kori, Mohamad Ikhwan
Jong, Rudiyanto Philman
Osman, Kahar
Taib, Ishkrizat
author_facet Nazemi, Nurin Tihani
Md Shakhih, Muhammad Faiz
Kori, Mohamad Ikhwan
Jong, Rudiyanto Philman
Osman, Kahar
Taib, Ishkrizat
author_sort Nazemi, Nurin Tihani
title In-silico analysis of in-stent restenosis prediction of stented renal artery / Nurin Tihani Nazemi ... [et al.]
title_short In-silico analysis of in-stent restenosis prediction of stented renal artery / Nurin Tihani Nazemi ... [et al.]
title_full In-silico analysis of in-stent restenosis prediction of stented renal artery / Nurin Tihani Nazemi ... [et al.]
title_fullStr In-silico analysis of in-stent restenosis prediction of stented renal artery / Nurin Tihani Nazemi ... [et al.]
title_full_unstemmed In-silico analysis of in-stent restenosis prediction of stented renal artery / Nurin Tihani Nazemi ... [et al.]
title_sort in-silico analysis of in-stent restenosis prediction of stented renal artery / nurin tihani nazemi ... [et al.]
publisher UiTM Press
publishDate 2024
url https://ir.uitm.edu.my/id/eprint/105976/1/105976.pdf
https://ir.uitm.edu.my/id/eprint/105976/
_version_ 1817847209707700224
score 13.223943

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