Evidence map›Paper›PMID 33777912›Full record

ArticleFrontiers in bioengineering and biotechnology2021

Stress-Strain Index Map: A New Way to Represent Corneal Material Stiffness.

Haixia Zhang, Ashkan Eliasy, Bernardo Lopes, Ahmed Abass, Riccardo Vinciguerra, Paolo Vinciguerra, Renato Ambrósio, Cynthia J Roberts, Ahmed Elsheikh

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–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

21 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Regional corneal biomechanics assessment as a function of age using Strain-Stress Index maps.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2025
    Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. [Anisotropy and viscoelasticity of different corneal regions in rabbit corneal ectasia model].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2024
    Article
  12. Review
  13. Review
  14. Bioengineering (Basel, Switzerland) · 2023
    Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Frontiers in bioengineering and biotechnology · 2022
    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

9 authors.

Haixia ZhangSchool of Engineering, University of Liverpool, Liverpool, United Kingdom.
Ashkan EliasySchool of Engineering, University of Liverpool, Liverpool, United Kingdom.
Bernardo LopesSchool of Engineering, University of Liverpool, Liverpool, United Kingdom.
Ahmed AbassDepartment of Mechanical, Materials and Aerospace Engineering, School of Engineering, University of Liverpool, Liverpool, United Kingdom.
Riccardo VinciguerraDepartment of Ophthalmology, Humanitas San Pio X Hospital, Milan, Italy.
Paolo VinciguerraHumanitas Clinical and Research Center, IRCCS, Rozzano, Italy.
Renato AmbrósioDepartment of Ophthalmology, Federal University of São Paulo (UNIFESP), São Paulo, Brazil.
Cynthia J RobertsDepartment of Ophthalmology and Visual Sciences and Biomedical Engineering, The Ohio State University, Columbus, OH, United States.
Ahmed ElsheikhSchool of Engineering, University of Liverpool, Liverpool, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo introduce a new method to map the mechanical stiffness of healthy and keratoconic corneas.

methodsNumerical modeling based on the finite element method was used to carry out inverse analysis of simulated healthy and keratoconic corneas to determine the regional variation of mechanical stiffness across the corneal surface based on established trends in collagen fibril distribution. The Stress-Strain Index (SSI), developed and validated in an earlier study and presented as a parameter that can estimate the overall stress-strain behavior of corneal tissue, was adopted in this research as a measure of corneal stiffness. The regional variation of SSI across the corneal surface was estimated using inverse analysis while referring to the common features of collagen fibrils' distribution obtained from earlier x-ray scattering studies. Additionally, for keratoconic corneas, a method relating keratoconic cone features and cornea's refractive power to the reduction in collagen fibril density inside the cone was implemented in the development of SSI maps. In addition to the simulated cases, the study also included two keratoconus cases, for which SSI maps were developed.

resultsSSI values varied slightly across corneal surface in the simulated healthy eyes. In contrast, both simulated and clinical keratoconic corneas demonstrated substantial reductions in SSI values inside the cone. These SSI reductions depended on the extent of the disease and increased with more considerable simulated losses in fibril density in the cone area. SSI values and their regional variation showed little change with changes in IOP, corneal thickness, and curvature.

conclusionSSI maps provide an estimation of the regional variation of biomechanical stiffness across the corneal surface. The maps could be particularly useful in keratoconic corneas, demonstrating the dependence of corneal biomechanical behavior on the tissue's microstructure and offering a tool to fundamentally understand the mechanics of keratoconus progression in individual patients.

Indexed as

corneal biomechanicsin vivokeratoconusmapmicrostructureSSIstress strain index

Identifiers

PMID33777912
PMCPMC7991572

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