Conference paper Open Access

In Silico analysis of stent deployment - effect of stent design

Georgia S. Karanasiou; Nikolaos S. Tachos; Antonios Sakellarios; Claire Conway; Giancarlo Pennati; Lorenza Petrini; Lampros K. Michalis; Elazer R. Edelman; Dimitrios I. Fotiadis

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  <identifier identifierType="DOI">10.5281/zenodo.2018352</identifier>
      <creatorName>Georgia S. Karanasiou</creatorName>
      <creatorName>Nikolaos S. Tachos</creatorName>
      <creatorName>Antonios Sakellarios</creatorName>
      <creatorName>Claire Conway</creatorName>
      <affiliation>Institute for Medical Engineering and Science, Massachusetts Institute of Technology</affiliation>
      <creatorName>Giancarlo Pennati</creatorName>
      <affiliation>Department of Civil and Environmental Engineering, Politecnico di Milano,</affiliation>
      <creatorName>Lorenza Petrini</creatorName>
      <affiliation>Department of Civil and Environmental Engineering, Politecnico di Milano,</affiliation>
      <creatorName>Lampros K. Michalis</creatorName>
      <affiliation>Department of Cardiology, Medical School, University of Ioannina,</affiliation>
      <creatorName>Elazer R. Edelman</creatorName>
      <affiliation>Institute for Medical Engineering and Science, Massachusetts Institute of Technology</affiliation>
      <creatorName>Dimitrios I. Fotiadis</creatorName>
      <affiliation>Department of Biomedical Research, Institute of Molecular Biology and Biotechnology, FORTH, Ioannina, Greece and the Dept. of Materials Science and Engineering, Unit of Medical Technology and Intelligent Information Systems, University of Ioannina</affiliation>
    <title>In Silico analysis of stent deployment - effect of stent design</title>
    <subject>stent, design, strut thickness, modeling, FEA, in silico</subject>
    <date dateType="Issued">2018-07-22</date>
  <resourceType resourceTypeGeneral="ConferencePaper"/>
    <alternateIdentifier alternateIdentifierType="url"></alternateIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.2018351</relatedIdentifier>
    <rights rightsURI="">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
    <description descriptionType="Abstract">&lt;p&gt;Coronary artery disease (CAD) remains the leading cause of death in Europe and worldwide. One of the most common pathologic processes involved in CAD is atherosclerosis. Coronary stents are expandable scaffolds that are used to widen the occluded arteries and enable the blood flow restoration. To achieve an adequate delivery and placement of coronary stents different parameters play a significant role. Due to the strain that the stents are exposed to and the forces they should withstand, the stent design is dominant. This study focuses on investigating the effect of the stent design in two finite element models using two stents with difference in the strut thickness. The in silico deployment is performed in a reconstructed patient specific arterial segment. The results are analyzed in terms of stress in the stent and the arterial wall and demonstrate how stent expansion is extensively affected by the scaffold&amp;rsquo;s design&lt;/p&gt;</description>
    <description descriptionType="Other">"© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works."</description>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/777119/">777119</awardNumber>
      <awardTitle>InSilc: In-silico trials for drug-eluting BVS design, development and evaluation</awardTitle>
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