Literature DB >> 20138369

Corneal biomechanical metrics and anterior segment parameters in mild keratoconus.

Bruno M Fontes1, Renato Ambrósio, Daniela Jardim, Guillermo C Velarde, Walton Nosé.   

Abstract

PURPOSE: To compare corneal hysteresis (CH), corneal resistance factor (CRF), spherical equivalent (SE), average central keratometry (K-Avg), corneal astigmatism (CA), corneal volume (CV), anterior chamber (AC) depth, and central corneal thickness (CCT) between patients with mild keratoconus and healthy controls and to estimate the sensitivity and specificity of CH and CRF in discriminating mild keratoconus from healthy corneas.
DESIGN: Comparative case series. PARTICIPANTS: Sixty-three eyes (40 patients) with mild keratoconus (group 1) and 80 eyes from 40 gender- and age-matched controls (group 2).
METHODS: Patients underwent a complete clinical eye examination, corneal topography (Humphrey ATLAS; Carl Zeiss Meditec, Dublin, CA), tomography (Pentacam; Oculus, Wetzlar, Germany), and biomechanical evaluations (ocular response analyzer; Reichert Ophthalmic Instruments, Depew, NY). The receiver operating characteristic (ROC) curve was used to identify cutoff points that maximized sensitivity and specificity in discriminating mild keratoconus from normal corneas. MAIN OUTCOME MEASURES: Corneal hysteresis, CRF, SE, K-Avg, CA, CV, AC depth, and CCT. The diagnostic performance of CH and CRF for detecting mild keratoconus was assessed using the ROC curve.
RESULTS: In group 1 versus group 2, the SE values (mean+/-standard deviation) were -3.55+/-2.87 diopters (D) versus -1.46+/-3.09 D (P = 0); K-Avg, 45.09+/-2.24 versus 43.24+/-1.54 D (P = 0); CA, 3.15+/-1.87 versus 1.07+/-0.83 D (P = 0); CV, 57.3+/-2.12 versus 60.86+/-3.39 mm3 (P = 0); AC depth, 3.19+/-0.35 versus 3.05+/-0.43 mm (P = 0.0416); CCT, 503+/-34.15 versus 544.71+/-35.89 microm (P = 0); CH, 8.50+/-1.36 versus 10.17+/-1.79 mmHg (P = 0); CRF, 7.85+/-1.49 versus 10.13+/-2.0 mmHg (P = 0). The ROC curve analyses showed a poor overall predictive accuracy of CH (cutoff, 9.64 mmHg; sensitivity, 87%; specificity, 65%; test accuracy, 74.83%) and CRF (cutoff, 9.60 mmHg; sensitivity, 90.5%; specificity, 66%; test accuracy, 76.97%) for detecting mild keratoconus.
CONCLUSIONS: The values for CH, CRF, CV, and CCT were statistically lower and those for SE, K-Avg, CA, and AC depth were statistically higher in patients with mild keratoconus compared with controls. Corneal hysteresis and CRF were poor parameters for discriminating between mild keratoconus and normal corneas. FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found after the references. Copyright 2010 American Academy of Ophthalmology. Published by Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20138369     DOI: 10.1016/j.ophtha.2009.09.023

Source DB:  PubMed          Journal:  Ophthalmology        ISSN: 0161-6420            Impact factor:   12.079


  68 in total

1.  Effects of corneal cross-linking on ocular response analyzer waveform-derived variables in keratoconus and postrefractive surgery ectasia.

Authors:  Katie M Hallahan; Karolinne Rocha; Abhijit S Roy; J Bradley Randleman; R Doyle Stulting; William J Dupps
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2.  Clinical utility of ocular residual astigmatism and topographic disparity vector indexes in subclinical and clinical keratoconus.

Authors:  David P Piñero; Rafael J Pérez-Cambrodí; Roberto Soto-Negro; Pedro Ruiz-Fortes; Alberto Artola
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2015-09-07       Impact factor: 3.117

3.  In-vivo corneal biomechanical analysis of unilateral keratoconus.

Authors:  Orhan Ayar; Mehmet Cuneyt Ozmen; Orkun Muftuoglu; Mehmet Orcun Akdemir; Mustafa Koc; Kemal Ozulken
Journal:  Int J Ophthalmol       Date:  2015-12-18       Impact factor: 1.779

4.  Clinical outcomes after intrastromal corneal ring segments reoperation in keratoconus patients.

Authors:  Leonardo Torquetti; Guilherme Ferrara; Franklin Almeida; Leandro Cunha; Paulo Ferrara; Jesús Merayo-Lloves
Journal:  Int J Ophthalmol       Date:  2013-12-18       Impact factor: 1.779

5.  [New aspects on biomechanics of the cornea in keratoconus].

Authors:  Z Gatzioufas; B Seitz
Journal:  Ophthalmologe       Date:  2013-09       Impact factor: 1.059

6.  Anterior chamber depth in normal subjects by rotating scheimpflug imaging.

Authors:  Matthew T Feng; Michael W Belin; Renato Ambrósio; Satinder P S Grewal; Wang Yan; Mohamed S Shaheen; Charles McGhee; Naoyuki Maeda; Tobias H Neuhann; H Burkhard Dick; Saleh A Alageel; Andreas Steinmueller
Journal:  Saudi J Ophthalmol       Date:  2011-04-30

7.  Comparative analysis of biomechanically corrected intraocular pressure with corneal visualization Scheimpflug technology versus conventional noncontact intraocular pressure.

Authors:  Jiaonan Ma; Yan Wang; Weiting Hao; Vishal Jhanji
Journal:  Int Ophthalmol       Date:  2019-08-20       Impact factor: 2.031

8.  Assessment of corneal properties based on statistical modeling of OCT speckle.

Authors:  Danilo A Jesus; D Robert Iskander
Journal:  Biomed Opt Express       Date:  2016-12-08       Impact factor: 3.732

9.  Discriminant value of custom ocular response analyzer waveform derivatives in keratoconus.

Authors:  Katie M Hallahan; Abhijit Sinha Roy; Renato Ambrosio; Marcella Salomao; William J Dupps
Journal:  Ophthalmology       Date:  2013-11-26       Impact factor: 12.079

10.  Biomechanical characterization of keratoconus corneas ex vivo with Brillouin microscopy.

Authors:  Giuliano Scarcelli; Sebastien Besner; Roberto Pineda; Seok Hyun Yun
Journal:  Invest Ophthalmol Vis Sci       Date:  2014-06-17       Impact factor: 4.799

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