Evidence map›Paper›PMID 31105452›Full record

ReviewProceedings. Mathematical, physical, and engineering sciences2019

On fibre dispersion modelling of soft biological tissues: a review.

Gerhard A Holzapfel, Ray W Ogden, Selda Sherifova

Abstract readReview
In one paragraph

Review in Proceedings. Mathematical, physical, and engineering sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Umbilical Cord Tensile Strength Under Varying Strain Rates.Bioengineering (Basel, Switzerland) · 2025
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Inverse problems in blood flow modeling: A review.International journal for numerical methods in biomedical engineering · 2022
    Review
  12. Mechanics of tension-induced film wrinkling and restabilization: a review.Proceedings. Mathematical, physical, and engineering sciences · 2022
    Review
  13. Article
  14. Article
  15. Uncertainty quantification in subject-specific estimation of local vessel mechanical properties.International journal for numerical methods in biomedical engineering · 2021
    Article
  16. Predictive constitutive modelling of arteries by deep learning.Journal of the Royal Society, Interface · 2021
    Article
  17. Article
  18. Article
  19. Article
  20. [Experimental measurement and modeling analysis of active and passive mechanical properties of arterial vessel wall].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2020
    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.

Gerhard A HolzapfelInstitute of Biomechanics, Graz University of Technology, Graz, Austria.ORCID 0000-0001-8119-5775
Ray W OgdenSchool of Mathematics and Statistics, University of Glasgow, Glasgow, Scotland, UK.ORCID 0000-0002-7002-7028
Selda SherifovaInstitute of Biomechanics, Graz University of Technology, Graz, Austria.ORCID 0000-0003-2485-5639

Funding

Medical Research Council MC_PC_17178
6 · The paper itself

Abstract

Collagen fibres within fibrous soft biological tissues such as artery walls, cartilage, myocardiums, corneas and heart valves are responsible for their anisotropic mechanical behaviour. It has recently been recognized that the dispersed orientation of these fibres has a significant effect on the mechanical response of the tissues. Modelling of the dispersed structure is important for the prediction of the stress and deformation characteristics in (patho)physiological tissues under various loading conditions. This paper provides a timely and critical review of the continuum modelling of fibre dispersion, specifically, the angular integration and the generalized structure tensor models. The models are used in representative numerical examples to fit sets of experimental data that have been obtained from mechanical tests and fibre structural information from second-harmonic imaging. In particular, patches of healthy and diseased aortic tissues are investigated, and it is shown that the predictions of the models fit very well with the data. It is straightforward to use the models described herein within a finite-element framework, which will enable more realistic (and clinically relevant) boundary-value problems to be solved. This also provides a basis for further developments of material models and points to the need for additional mechanical and microstructural data that can inform further advances in the material modelling.

Indexed as

anisotropyconstitutive modellingfibre dispersionsoft biological tissuesoft tissue elasticity

Identifiers

PMID31105452
PMCPMC6501667

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.