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

PURPOSE: To introduce a new method to map the mechanical stiffness of healthy and keratoconic corneas. METHODS: Numerical 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...

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Autores principales: Zhang, Haixia, Eliasy, Ashkan, Lopes, Bernardo, Abass, Ahmed, Vinciguerra, Riccardo, Vinciguerra, Paolo, Ambrósio, Renato, Roberts, Cynthia J., Elsheikh, Ahmed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7991572/
https://www.ncbi.nlm.nih.gov/pubmed/33777912
http://dx.doi.org/10.3389/fbioe.2021.640434
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author Zhang, Haixia
Eliasy, Ashkan
Lopes, Bernardo
Abass, Ahmed
Vinciguerra, Riccardo
Vinciguerra, Paolo
Ambrósio, Renato
Roberts, Cynthia J.
Elsheikh, Ahmed
author_facet Zhang, Haixia
Eliasy, Ashkan
Lopes, Bernardo
Abass, Ahmed
Vinciguerra, Riccardo
Vinciguerra, Paolo
Ambrósio, Renato
Roberts, Cynthia J.
Elsheikh, Ahmed
author_sort Zhang, Haixia
collection PubMed
description PURPOSE: To introduce a new method to map the mechanical stiffness of healthy and keratoconic corneas. METHODS: Numerical 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. RESULTS: SSI 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. CONCLUSION: SSI 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.
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spelling pubmed-79915722021-03-26 Stress–Strain Index Map: A New Way to Represent Corneal Material Stiffness Zhang, Haixia Eliasy, Ashkan Lopes, Bernardo Abass, Ahmed Vinciguerra, Riccardo Vinciguerra, Paolo Ambrósio, Renato Roberts, Cynthia J. Elsheikh, Ahmed Front Bioeng Biotechnol Bioengineering and Biotechnology PURPOSE: To introduce a new method to map the mechanical stiffness of healthy and keratoconic corneas. METHODS: Numerical 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. RESULTS: SSI 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. CONCLUSION: SSI 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. Frontiers Media S.A. 2021-03-11 /pmc/articles/PMC7991572/ /pubmed/33777912 http://dx.doi.org/10.3389/fbioe.2021.640434 Text en Copyright © 2021 Zhang, Eliasy, Lopes, Abass, Vinciguerra, Vinciguerra, Ambrósio, Roberts and Elsheikh. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Bioengineering and Biotechnology
Zhang, Haixia
Eliasy, Ashkan
Lopes, Bernardo
Abass, Ahmed
Vinciguerra, Riccardo
Vinciguerra, Paolo
Ambrósio, Renato
Roberts, Cynthia J.
Elsheikh, Ahmed
Stress–Strain Index Map: A New Way to Represent Corneal Material Stiffness
title Stress–Strain Index Map: A New Way to Represent Corneal Material Stiffness
title_full Stress–Strain Index Map: A New Way to Represent Corneal Material Stiffness
title_fullStr Stress–Strain Index Map: A New Way to Represent Corneal Material Stiffness
title_full_unstemmed Stress–Strain Index Map: A New Way to Represent Corneal Material Stiffness
title_short Stress–Strain Index Map: A New Way to Represent Corneal Material Stiffness
title_sort stress–strain index map: a new way to represent corneal material stiffness
topic Bioengineering and Biotechnology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7991572/
https://www.ncbi.nlm.nih.gov/pubmed/33777912
http://dx.doi.org/10.3389/fbioe.2021.640434
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