Literature DB >> 25495865

Assessment of the Ocular Response Analyzer as an Instrument for Measurement of Intraocular Pressure and Corneal Biomechanics.

Ahmed Elsheikh1,2, Akram Joda1, Ahmed Abass3, David Garway-Heath2.   

Abstract

PURPOSE: The purpose of this study is to provide better understanding of the Ocular Response Analyzer (ORA) and how reliable it is to produce intraocular pressure (IOP) measurements that are free of the effects of corneal stiffness parameters, and stiffness estimates that are independent of IOP.
MATERIALS AND METHODS: A numerical parametric study that closely represents the in-vivo conditions of the human eye and the ORA procedure was conducted to determine the correlation coefficient r(2) between ORA output and the values of true IOP and a number of stiffness parameters, namely corneal thickness, curvature and age. For the purpose of this exercise, the ORA output was put in the form k1P1+k2P2 where k1 and k2 were variables and P1 and P2 were ORA's measured applanation pressures. Two separate clinical datasets involving Moorfields Eye Hospital, London and the University of New South Wales, Sydney participants, respectively, were used to validate the numerical results.
RESULTS: The numerical study results show a strong association between (k1P1 + k2P2) and the true IOP over a wide range of k1 and k2 values apart from a narrow region approximately extending from (k1 = +2, k2 = -2) to (k1 = -2, k2 = +2). On the other hand, (k1· P1 + k2· P2) was found to have a strong association with CCT, R and age (the stiffness parameters) over the same narrow region, beyond which the association was weak. Similar trends were found with the two clinical datasets.
CONCLUSIONS: The results of this study show the potential of the ORA to provide reliable IOP measurements with weak dependence on the cornea's stiffness parameters and the considerably reduced reliability in producing stiffness estimates that are unaffected by IOP values.

Entities:  

Keywords:  Cornea; intraocular pressure; ocular biomechanics; ocular response analyzer; tonometry

Mesh:

Year:  2014        PMID: 25495865     DOI: 10.3109/02713683.2014.978479

Source DB:  PubMed          Journal:  Curr Eye Res        ISSN: 0271-3683            Impact factor:   2.424


  7 in total

1.  Effects of glaucoma and central corneal thickness on optic nerve head biomechanics.

Authors:  Nilgün Özkan Aksoy; Burçin Çakır; Yakup Ersel Aksoy; Kadriye Demir Boncukçu; Sedat Özmen; Erkan Çelik; Gürsoy Alagöz
Journal:  Int Ophthalmol       Date:  2021-01-02       Impact factor: 2.031

2.  Tonometry by Ocular Response Analyzer in Keratoconic and Warpage Eyes in Comparison with Normal Eyes.

Authors:  Fateme Alipour; Narges Hassanpoor; Moggan Letafatnejad; Amir-Hooshang Beheshtnejad; Seyed-Farzad Mohammadi
Journal:  J Curr Ophthalmol       Date:  2021-07-05

3.  Effect of biometric characteristics on biomechanical properties of the cornea in cataract patient.

Authors:  Xue-Fei Song; Achim Langenbucher; Zisis Gatzioufas; Berthold Seitz; Moatasem El-Husseiny
Journal:  Int J Ophthalmol       Date:  2016-06-18       Impact factor: 1.779

4.  Determine Corneal Biomechanical Parameters by Finite Element Simulation and Parametric Analysis Based on ORA Measurements.

Authors:  Xiao Qin; Lei Tian; Hui Zhang; Di Zhang; Ying Jie; Hai-Xia Zhang; Lin Li
Journal:  Front Bioeng Biotechnol       Date:  2022-04-13

5.  Correlation between corneal thickness, keratometry, age, and differential pressure difference in healthy eyes.

Authors:  Ahmet Colakoglu; Iffet Emel Colakoglu; Cemile Banu Cosar
Journal:  Sci Rep       Date:  2021-02-18       Impact factor: 4.379

6.  A new method for the in vivo identification of degenerated material property ranges of the human eye: feasibility analysis based on synthetic data.

Authors:  Stefan Muench; Mike Roellig; Daniel Balzani
Journal:  Biomech Model Mechanobiol       Date:  2021-12-20

7.  Changes in corneal biomechanics in patients with diabetes mellitus: a systematic review and meta-analysis.

Authors:  Xiaoyi Wang; Guihua Xu; Wei Wang; Juanjuan Wang; Lili Chen; Mingguang He; Zilin Chen
Journal:  Acta Diabetol       Date:  2020-03-22       Impact factor: 4.280

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.