Literature DB >> 33622146

Fibril density reduction in keratoconic corneas.

Dong Zhou1, Ahmed Abass2,3, Bernardo Lopes4,5, Ashkan Eliasy4, Sally Hayes6, Craig Boote6, Keith M Meek6, Alexander Movchan1, Natalia Movchan1, Ahmed Elsheikh4,7,8.   

Abstract

This study aims to estimate the reduction in collagen fibril density within the central 6 mm radius of keratoconic corneas through the processing of microstructure and videokeratography data. Collagen fibril distribution maps and topography maps were obtained for seven keratoconic and six healthy corneas, and topographic features were assessed to detect and calculate the area of the cone in each keratoconic eye. The reduction in collagen fibril density within the cone area was estimated with reference to the same region in the characteristic collagen fibril maps of healthy corneas. Together with minimum thickness and mean central corneal refractive power, the cone area was correlated with the reduction in the cone collagen fibrils. For the corneas considered, the mean area of keratoconic cones was 3.30 ± 1.90 mm2. Compared with healthy corneas, fibril density in the cones of keratoconic corneas was lower by as much as 35%, and the mean reduction was 17 ± 10%. A linear approximation was developed to relate the magnitude of reduction to the refractive power, minimum corneal thickness and cone area (R2 = 0.95, p < 0.001). Outside the cone area, there was no significant difference between fibril arrangement in healthy and keratoconic corneas. The presented method can predict the mean fibril density in the keratoconic eye's cone area. The technique can be applied in microstructure-based finite-element models of the eye to regulate its stiffness level and the stiffness distribution within the areas affected by keratoconus.

Entities:  

Keywords:  cornea; keratoconus; ocular biomechanics; tissue microstructure

Mesh:

Year:  2021        PMID: 33622146      PMCID: PMC8086868          DOI: 10.1098/rsif.2020.0900

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  40 in total

1.  Neural network-based system for early keratoconus detection from corneal topography.

Authors:  P Agostino Accardo; Stefano Pensiero
Journal:  J Biomed Inform       Date:  2002-06       Impact factor: 6.317

2.  A model for the human cornea: constitutive formulation and numerical analysis.

Authors:  A Pandolfi; F Manganiello
Journal:  Biomech Model Mechanobiol       Date:  2006-01-28

3.  Biomechanical model of human cornea based on stromal microstructure.

Authors:  H Studer; X Larrea; H Riedwyl; P Büchler
Journal:  J Biomech       Date:  2009-12-14       Impact factor: 2.712

4.  Keratoconus evaluation using the Orbscan Topography System.

Authors:  G U Auffarth; L Wang; H E Völcker
Journal:  J Cataract Refract Surg       Date:  2000-02       Impact factor: 3.351

5.  Changes in anterior and posterior corneal curvatures in keratoconus.

Authors:  A Tomidokoro; T Oshika; S Amano; S Higaki; N Maeda; K Miyata
Journal:  Ophthalmology       Date:  2000-07       Impact factor: 12.079

6.  Second-harmonic imaging microscopy of normal human and keratoconus cornea.

Authors:  Naoyuki Morishige; Andrew J Wahlert; M Cristina Kenney; Donald J Brown; Koji Kawamoto; Tai-Ichiro Chikama; Teruo Nishida; James V Jester
Journal:  Invest Ophthalmol Vis Sci       Date:  2007-03       Impact factor: 4.799

7.  Epithelial, stromal, and total corneal thickness in keratoconus: three-dimensional display with artemis very-high frequency digital ultrasound.

Authors:  Dan Z Reinstein; Marine Gobbe; Timothy J Archer; Ronald H Silverman; D Jackson Coleman
Journal:  J Refract Surg       Date:  2010-04-07       Impact factor: 3.573

8.  Lamellar orientation in human cornea in relation to mechanical properties.

Authors:  Craig Boote; Sally Dennis; Yifei Huang; Andrew J Quantock; Keith M Meek
Journal:  J Struct Biol       Date:  2005-01       Impact factor: 2.867

9.  A study of corneal thickness, shape and collagen organisation in keratoconus using videokeratography and X-ray scattering techniques.

Authors:  Sally Hayes; Craig Boote; Stephen J Tuft; Andrew J Quantock; Keith M Meek
Journal:  Exp Eye Res       Date:  2006-12-18       Impact factor: 3.467

10.  Artefact-free topography based scleral-asymmetry.

Authors:  Ahmed Abass; Bernardo T Lopes; Ashkan Eliasy; Marcella Salomao; Richard Wu; Lynn White; Steve Jones; John Clamp; Renato Ambrósio; Ahmed Elsheikh
Journal:  PLoS One       Date:  2019-07-26       Impact factor: 3.240

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  3 in total

1.  In vivo Assessment of Localised Corneal Biomechanical Deterioration With Keratoconus Progression.

Authors:  Bernardo T Lopes; Prema Padmanabhan; Ashkan Eliasy; Haixia Zhang; Ahmed Abass; Ahmed Elsheikh
Journal:  Front Bioeng Biotechnol       Date:  2022-06-08

2.  Quantitative Assessment of Biomechanical Properties of the Human Keratoconus Cornea Using Acoustic Radiation Force Optical Coherence Elastography.

Authors:  Yanzhi Zhao; Hongwei Yang; Yingjie Li; Yongbo Wang; Xiao Han; Yirui Zhu; Yubao Zhang; Guofu Huang
Journal:  Transl Vis Sci Technol       Date:  2022-06-01       Impact factor: 3.048

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

Authors:  Haixia Zhang; Ashkan Eliasy; Bernardo Lopes; Ahmed Abass; Riccardo Vinciguerra; Paolo Vinciguerra; Renato Ambrósio; Cynthia J Roberts; Ahmed Elsheikh
Journal:  Front Bioeng Biotechnol       Date:  2021-03-11
  3 in total

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