Evidence map›Paper›PMID 39210577›Full record

ArticleJournal of biomedical materials research. Part A2025

How well do 3D-printed tissue mimics represent the complex mechanics of biological soft tissues? An example study with Stratasys' cardiovascular TissueMatrix materials.

Grace N Bechtel, Colton J Kostelnik, Manuel K Rausch

Abstract read
In one paragraph

Article in Journal of biomedical materials research. Part A, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Grace N BechtelDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, Texas, USA.
Colton J KostelnikDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, Texas, USA.
Manuel K RauschDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, Texas, USA.ORCID 0000-0003-1337-6472

Funding

Using an Electrospun Surrogate Model to Investigate Mechanisms of Tricuspid Valve MaladaptationR01HL165251 · NHLBI · UNIVERSITY OF TEXAS AT AUSTIN · PI MANUEL Karl RAUSCH · 2022 to 2026
$4.3M
National Science Foundation 2046148National Science Foundation 2127925National Science Foundation 2235856NHLBI NIH HHS R01 HL165251Office of Naval Research N00014-23-1-2575
6 · The paper itself

Abstract

Tissue mimicking materials are designed to represent real tissue in applications such as medical device testing and surgical training. Thanks to progress in 3D-printing technology, tissue mimics can now be easily cast into arbitrary geometries and manufactured with adjustable material properties to mimic a wide variety of tissue types. However, it is unclear how well 3D-printable mimics represent real tissues and their mechanics. The objective of this work is to fill this knowledge gap using the Stratasys Digital Anatomy 3D-Printer as an example. To this end, we created mimics of biological tissues we previously tested in our laboratory: blood clots, myocardium, and tricuspid valve leaflets. We printed each tissue mimic to have the identical geometry to its biological counterpart and tested the samples using identical protocols. In our evaluation, we focused on the stiffness of the tissues and their fracture toughness in the case of blood clots. We found that the mechanical behavior of the tissue mimics often differed substantially from the biological tissues they aim to represent. Qualitatively, tissue mimics failed to replicate the traditional strain-stiffening behavior of soft tissues. Quantitatively, tissue mimics were stiffer than their biological counterparts, especially at small strains, in some cases by orders of magnitude. In those materials in which we tested toughness, we found that tissue mimicking materials were also much tougher than their biological counterparts. Thus, our work highlights limitations of at least one 3D-printing technology in its ability to mimic the mechanical properties of biological tissues. Therefore, care should be taken when using this technology, especially where tissue mimicking materials are expected to represent soft tissue properties quantitatively. Whether other technologies fare better remains to be seen.

Indexed as

Biomimetic MaterialsPrinting, Three-DimensionalAnimalsBiomechanical PhenomenaHumansMaterials TestingMyocardiumbiaxialblood clotheart valve leafletsmode‐Imyocardiumpure shearsimple shear

Identifiers

PMID39210577
PMCPMC13180958

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.