Mechanical Properties of a 3 Dimensional-Printed Transparent Flexible Resin Used for Vascular Model Simulation Compared with Those of Porcine Arteries.


Journal

Journal of vascular and interventional radiology : JVIR
ISSN: 1535-7732
Titre abrégé: J Vasc Interv Radiol
Pays: United States
ID NLM: 9203369

Informations de publication

Date de publication:
05 2023
Historique:
received: 23 08 2022
revised: 21 12 2022
accepted: 06 01 2023
medline: 1 5 2023
pubmed: 17 1 2023
entrez: 16 1 2023
Statut: ppublish

Résumé

To develop a vascular intervention simulation model that replicates the characteristics of a human patient and to compare the mechanical properties of a 3-dimensional (3D)-printed transparent flexible resin with those of porcine arteries using the elastic modulus (E) and kinetic friction coefficient (μ Resin plates were created from a transparent flexible resin using a 3D printer. Porcine artery plates were prepared by excising the aorta. E values and the adhesive strengths of the resin and arterial surfaces toward a polyethylene plate, were measured with a tensile-compressive mechanical tester. Resin transparency was measured using an ultraviolet-visible light spectrometer. The μ E values differed significantly between the arteries and resin plates at each curing time (0.20 MPa ± 0.04 vs 8.53 MPa ± 2.37 for a curing time of 1 minute; P < .05). The resin was stiffer than the arteries, regardless of the curing times. The visible light transmittance and adhesive strength of the resin decreased as the curing time increased. The adhesive strength of the artery was the lowest. The μ A transparent flexible resin is useful for creating a transparent and slippery vascular model for vascular intervention simulation.

Identifiants

pubmed: 36646207
pii: S1051-0443(23)00012-X
doi: 10.1016/j.jvir.2023.01.008
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

871-878.e3

Informations de copyright

Copyright © 2023 SIR. Published by Elsevier Inc. All rights reserved.

Auteurs

Ryo Morita (R)

Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, Sapporo, Japan. Electronic address: ryo561201@me.com.

Takayuki Nonoyama (T)

Faculty of Advanced Life Science, Hokkaido University, Sapporo, Japan.

Daisuke Abo (D)

Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, Sapporo, Japan.

Takeshi Soyama (T)

Department of Diagnostic and Interventional Radiology, Kushiro City General Hospital, Kushiro, Japan.

Noriyuki Fujima (N)

Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, Sapporo, Japan.

Tetsuaki Imai (T)

Department of Neurosurgery, Hakodate Central General Hospital, Hakodate, Japan.

Hiroyuki Hamaguchi (H)

Department of Radiological Technology, Hokkaido University Hospital, Sapporo, Japan.

Takuto Kameda (T)

Department of Radiological Technology, Hokkaido University Hospital, Sapporo, Japan.

Osamu Sugita (O)

Institute of Health Science Innovation for Medical Care, Clinical Development Division, Hokkaido University Hospital, Sapporo, Japan.

Bunya Takahashi (B)

Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, Sapporo, Japan.

Naoya Kinota (N)

Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, Sapporo, Japan.

Kohsuke Kudo (K)

Department of Diagnostic Imaging, Faculty of Medicine, Hokkaido University, Sapporo, Japan; Global Center for Biomedical Science and Engineering, Faculty of Medicine, Hokkaido University, Sapporo, Japan.

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Classifications MeSH