Evidence map›Paper›PMID 24443355›Full record

ArticleInternational journal for numerical methods in biomedical engineering2014

Nonlinear finite element simulations of injuries with free boundaries: application to surgical wounds.

C Valero, E Javierre, J M García-Aznar, M J Gómez-Benito

Abstract read
In one paragraph

Article in International journal for numerical methods in biomedical engineering, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Integration ofFrontiers in physiology · 2018
    Article
  4. Article
  5. 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

4 authors.

C ValeroMultiscale in Mechanical and Biological Engineering, Aragón Institute of Engineering Research, University of Zaragoza, Zaragoza, Spain.
E Javierre
J M García-Aznar
M J Gómez-Benito

Funding

European Research Council 306571
6 · The paper itself

Abstract

Wound healing is a process driven by biochemical and mechanical variables in which a new tissue is synthesised to recover original tissue functionality. Wound morphology plays a crucial role in this process, as the skin behaviour is not uniform along different directions. In this work, we simulate the contraction of surgical wounds, which can be characterised as elongated and deep wounds. Because of the regularity of this morphology, we approximate the evolution of the wound through its cross section, adopting a plane strain hypothesis. This simplification reduces the complexity of the computational problem; while allows for a thorough analysis of the role of wound depth in the healing process, an aspect of medical and computational relevance that has not yet been addressed. To reproduce wound contraction, we consider the role of fibroblasts, myofibroblasts, collagen and a generic growth factor. The contraction phenomenon is driven by cell-generated forces. We postulate that these forces are adjusted to the mechanical environment of the tissue where cells are embedded through a mechanosensing and mechanotransduction mechanism. To solve the nonlinear problem, we use the finite element method (FEM) and an updated Lagrangian approach to represent the change in the geometry. To elucidate the role of wound depth and width on the contraction pattern and evolution of the involved species, we analyse different wound geometries with the same wound area. We find that deeper wounds contract less and reach a maximum contraction rate earlier than superficial wounds.

Indexed as

Mechanotransduction, CellularModels, BiologicalAnimalsCompressive StrengthComputer SimulationElastic ModulusFibroblastsFinite Element AnalysisHumansNonlinear DynamicsSkinStress, MechanicalTensile StrengthWound HealingWounds, Penetratingfinite elementsfree boundary problemmechanosensing and mechanotransductionnonlinear convection-diffusion-reactionwound healing

Identifiers

PMID24443355
PMCPMC4531308

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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.