Experimental determination of the suture behavior of aortic tissue in comparison to 3D printed silicone modelling material.


Journal

Journal of the mechanical behavior of biomedical materials
ISSN: 1878-0180
Titre abrégé: J Mech Behav Biomed Mater
Pays: Netherlands
ID NLM: 101322406

Informations de publication

Date de publication:
12 2020
Historique:
received: 27 10 2019
revised: 25 02 2020
accepted: 08 08 2020
pubmed: 4 9 2020
medline: 15 5 2021
entrez: 4 9 2020
Statut: ppublish

Résumé

The imitation of biological tissue in a synthetic physical model can benefit many medical applications, e.g. pre surgical planning or education. For a quantitative validation of the model's mechanical behavior, standardized testing on both, the biological original and the artificial material, is necessary. In four parts, this study focuses on the biomechanical analysis of the impact of sutures for aortic modelling using 3D printed silicone. Testing methods are developed and executed on biological and synthetic samples. The first part is the determination of the pullout strength of a single stitch. The second part is the investigation of the reduction of the tensile strength and elongation of tensile bars due to stitching. Third, the tensile testing of biological and artificial vessels repaired with an anastomosis gives information about the transferability to real surgical applications. A qualitative feedback study with surgical experts concludes the evaluation. The study reveals that the pullout strength is independent from the fiber or notch direction, but that repaired aortic tensile bars show a dependency on the fiber direction of the tissue. Additionally, the circular seam of the anastomosis provides a more stable connection than multiple single stitches. For the artificial models, the mechanical behavior mainly depends on the mechanical properties of the base silicone, here represented by the Shore A hardness, rather than the manufacturing process. When compared to the biological original the most similar material varies depending on the mechanical property in focus.

Identifiants

pubmed: 32882678
pii: S1751-6161(20)30584-1
doi: 10.1016/j.jmbbm.2020.104033
pii:
doi:

Substances chimiques

Silicones 0

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

104033

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

Auteurs

Hannah Riedle (H)

Institute for Factory Automation and Production Systems, Friedrich-Alexander-University of Erlangen-Nuremberg, Egerlandstr. 7-9, 91058, Erlangen, Germany. Electronic address: Hannah.riedle@fau.de.

Ryan Chaban (R)

Cardiothoracic & Vascular Surgery and Research Platform BiomaTiCS, University Medical Center, Langenbeckstraße 1, 55131, Mainz, Germany.

Ahmed Ghazy (A)

Cardiothoracic & Vascular Surgery and Research Platform BiomaTiCS, University Medical Center, Langenbeckstraße 1, 55131, Mainz, Germany.

Charlotte Piplat (C)

Institute for Factory Automation and Production Systems, Friedrich-Alexander-University of Erlangen-Nuremberg, Egerlandstr. 7-9, 91058, Erlangen, Germany.

Bernhard Dorweiler (B)

Department of Vascular Surgery, University Medical Center Cologne, Kerpener Straße 62, 50937, Cologne, Germany.

Jörg Franke (J)

Institute for Factory Automation and Production Systems, Friedrich-Alexander-University of Erlangen-Nuremberg, Egerlandstr. 7-9, 91058, Erlangen, Germany.

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Classifications MeSH