Quantifying stent-induced damage in coronary arteries by investigating mechanical and structural alterations.

Coronary artery Damage mechanism Indentation test Mechanical properties Micro-structure Percutaneous coronary intervention Second-harmonic generation imaging Softening Stent Vascular injury

Journal

Acta biomaterialia
ISSN: 1878-7568
Titre abrégé: Acta Biomater
Pays: England
ID NLM: 101233144

Informations de publication

Date de publication:
15 10 2020
Historique:
received: 10 06 2020
revised: 28 07 2020
accepted: 12 08 2020
pubmed: 29 8 2020
medline: 15 5 2021
entrez: 29 8 2020
Statut: ppublish

Résumé

Vascular damage develops with diverging severity during and after percutaneous coronary intervention with stent placement and is the prevailing stimulus for in-stent restenosis. Previous work has failed to link mechanical data obtained in a realistic in vivo or in vitro environment with data collected during imaging processes. We investigated whether specimens of porcine right coronary arteries soften when indented with a stent strut shaped structure, and if the softening results from damage mechanisms inside the fibrillar collagen structure. To simulate the multiaxial loading scenario of a stented coronary artery, we developed the testing device 'LAESIO' that can measure differences in the stress-stretch behavior of the arterial wall before and after the indentation of a strut-like stamp. The testing protocol was optimized according to preliminary experiments, more specifically equilibrium and relaxation tests. After chemical fixation of the specimens and subsequent tissue clearing, we performed three-dimensional surface and second-harmonic generation scans on the deformed specimens. We analyzed and correlated the mechanical response with structural parameters of high-affected tissue located next to the stamp indentation and low-affected tissue beyond the injured area. The results reveal that damage mechanisms, like tissue compression as well as softening, fiber dispersion, and the lesion extent, are direction-dependent, and the severity of them is linked to the strut orientation, indentation pressure, and position. The findings highlight the need for further investigations by applying the proposed methods to human coronary arteries. Additional data and insights might help to incorporate the observed damage mechanisms into material models for finite element analyses to perform more accurate simulations of stent-implantations.

Identifiants

pubmed: 32858190
pii: S1742-7061(20)30476-1
doi: 10.1016/j.actbio.2020.08.016
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

285-301

Informations de copyright

Copyright © 2020 Acta Materialia Inc. Published by Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Markus A Geith (MA)

Institute of Biomechanics, Graz University of Technology, Graz, Austria; Biomedical Engineering Department, King's College London, London, United Kingdom.

Laurenz Nothdurfter (L)

Institute of Biomechanics, Graz University of Technology, Graz, Austria.

Manuel Heiml (M)

Institute of Biomechanics, Graz University of Technology, Graz, Austria.

Emmanouil Agrafiotis (E)

Institute of Biomechanics, Graz University of Technology, Graz, Austria.

Markus Gruber (M)

SELMO GmbH, Dobl, Austria.

Gerhard Sommer (G)

Institute of Biomechanics, Graz University of Technology, Graz, Austria.

Thomas G Schratzenstaller (TG)

Medical Device Laboratory, Regensburg Center of Biomedical Engineering, Technical University of Applied Sciences Regensburg, Regensburg, Germany.

Gerhard A Holzapfel (GA)

Institute of Biomechanics, Graz University of Technology, Graz, Austria; Department of Structural Engineering, Norwegian University of Science and Technology, Trondheim, Norway. Electronic address: holzapfel@TUGraz.at.

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Classifications MeSH