Advancements and Opportunities in Characterizing Patient-Specific Wall Shear Stress Imposed by Coronary Artery Stenting

The success of drug-eluting stents (DES) is limited by restenosis and, to a lesser extent, late stent thrombosis. Mechanical stimuli have been implicated in these outcomes, with indices of wall shear stress (WSS) determined from computational simulations being reported most frequently. The current w...

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Main Authors: John F. LaDisa, Arash Ghorbannia, David S. Marks, Peter Mason, Hiromasa Otake
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Fluids
Subjects:
Online Access:https://www.mdpi.com/2311-5521/7/10/325
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author John F. LaDisa
Arash Ghorbannia
David S. Marks
Peter Mason
Hiromasa Otake
author_facet John F. LaDisa
Arash Ghorbannia
David S. Marks
Peter Mason
Hiromasa Otake
author_sort John F. LaDisa
collection DOAJ
description The success of drug-eluting stents (DES) is limited by restenosis and, to a lesser extent, late stent thrombosis. Mechanical stimuli have been implicated in these outcomes, with indices of wall shear stress (WSS) determined from computational simulations being reported most frequently. The current work summarizes state-of-the-art computational approaches applicable to patient-specific models aimed at further understanding changes in WSS indexes imposed by stent implantation. We begin with a review of best practices involved in the process and then summarize the literature related to stent-induced WSS alterations. Image-based reconstruction methods are also discussed, along with the latest generation boundary conditions that replicate cardiac physiology and downstream vasculature in the setting of coronary artery disease. The influence of existing material property data on WSS results obtained with geometries reconstructed from finite element modeling and fluid structure interaction (FSI) simulations is reviewed, along with the novel approaches being used to provide coronary artery plaque data that are currently missing from the literature. We also consider the use of machine learning tools that have the potential for impact when assessing the role of adverse stent-induced WSS in suboptimal clinical outcomes. We conclude by focusing on challenging cases that involve DES implantation, which may benefit from recent advancements in patient-specific computational modeling.
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spelling doaj.art-0133a8dc38254da094e37edd3dd790af2023-11-24T00:07:15ZengMDPI AGFluids2311-55212022-10-0171032510.3390/fluids7100325Advancements and Opportunities in Characterizing Patient-Specific Wall Shear Stress Imposed by Coronary Artery StentingJohn F. LaDisa0Arash Ghorbannia1David S. Marks2Peter Mason3Hiromasa Otake4Department of Pediatrics, Division of Cardiology, Herma Heart Institute, Children’s Wisconsin and the Medical College of Wisconsin, Milwaukee, WI 53226, USADepartment of Biomedical Engineering, The Medical College of Wisconsin and Marquette University, Milwaukee, WI 53226, USADepartment of Medicine, Division of Cardiovascular Medicine, Medical College of Wisconsin, Milwaukee, WI 53226, USADepartment of Medicine, Division of Cardiovascular Medicine, Medical College of Wisconsin, Milwaukee, WI 53226, USAGraduate School of Medicine, Kobe University, Kobe 657-8501, JapanThe success of drug-eluting stents (DES) is limited by restenosis and, to a lesser extent, late stent thrombosis. Mechanical stimuli have been implicated in these outcomes, with indices of wall shear stress (WSS) determined from computational simulations being reported most frequently. The current work summarizes state-of-the-art computational approaches applicable to patient-specific models aimed at further understanding changes in WSS indexes imposed by stent implantation. We begin with a review of best practices involved in the process and then summarize the literature related to stent-induced WSS alterations. Image-based reconstruction methods are also discussed, along with the latest generation boundary conditions that replicate cardiac physiology and downstream vasculature in the setting of coronary artery disease. The influence of existing material property data on WSS results obtained with geometries reconstructed from finite element modeling and fluid structure interaction (FSI) simulations is reviewed, along with the novel approaches being used to provide coronary artery plaque data that are currently missing from the literature. We also consider the use of machine learning tools that have the potential for impact when assessing the role of adverse stent-induced WSS in suboptimal clinical outcomes. We conclude by focusing on challenging cases that involve DES implantation, which may benefit from recent advancements in patient-specific computational modeling.https://www.mdpi.com/2311-5521/7/10/325drug-eluting stentscomputational fluid dynamicssimulationfluid structure interaction
spellingShingle John F. LaDisa
Arash Ghorbannia
David S. Marks
Peter Mason
Hiromasa Otake
Advancements and Opportunities in Characterizing Patient-Specific Wall Shear Stress Imposed by Coronary Artery Stenting
Fluids
drug-eluting stents
computational fluid dynamics
simulation
fluid structure interaction
title Advancements and Opportunities in Characterizing Patient-Specific Wall Shear Stress Imposed by Coronary Artery Stenting
title_full Advancements and Opportunities in Characterizing Patient-Specific Wall Shear Stress Imposed by Coronary Artery Stenting
title_fullStr Advancements and Opportunities in Characterizing Patient-Specific Wall Shear Stress Imposed by Coronary Artery Stenting
title_full_unstemmed Advancements and Opportunities in Characterizing Patient-Specific Wall Shear Stress Imposed by Coronary Artery Stenting
title_short Advancements and Opportunities in Characterizing Patient-Specific Wall Shear Stress Imposed by Coronary Artery Stenting
title_sort advancements and opportunities in characterizing patient specific wall shear stress imposed by coronary artery stenting
topic drug-eluting stents
computational fluid dynamics
simulation
fluid structure interaction
url https://www.mdpi.com/2311-5521/7/10/325
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AT davidsmarks advancementsandopportunitiesincharacterizingpatientspecificwallshearstressimposedbycoronaryarterystenting
AT petermason advancementsandopportunitiesincharacterizingpatientspecificwallshearstressimposedbycoronaryarterystenting
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