Literature DB >> 19234346

Macular thickness measurements in healthy eyes using six different optical coherence tomography instruments.

Ute E K Wolf-Schnurrbusch1, Lala Ceklic, Christian K Brinkmann, Milko E Iliev, Manuel Frey, Simon P Rothenbuehler, Volker Enzmann, Sebastian Wolf.   

Abstract

PURPOSE: To compare central retinal thickness (CRT) measurements in healthy eyes by different commercially available OCT instruments and to compare the intersession reproducibility of such measurements.
METHODS: Six different OCT instruments (Stratus OCT [Carl Zeiss Meditec, Inc. Dublin, CA], SOCT Copernicus [Reichert/Optopol Technology, Inc., Depew, NY], Spectral OCT/SLO [Opko/OTI, Inc., Miami, FL], RTVue-100 [Optovue Corp., Fremont, CA], Spectralis HRA+OCT [Heidelberg Engineering, Inc., Heidelberg, Germany], and Cirrus HD-OCT [Carl Zeiss Meditec, Inc.]) were used to assess CRT in both eyes of healthy subjects. Measurements were performed in two different sessions on the same day with each of the systems. From these measurements, the mean CRT was calculated. For the assessment of the intersession reproducibility of the instruments, we calculated the coefficient of the variation of test-retest variation.
RESULTS: Twenty healthy subjects were included in the study. Compared with the Stratus OCT all spectral OCT instruments showed significantly higher CRTs. The Spectralis HRA+OCT and Cirrus HD-OCT showed similar CRT values but significantly higher values than did all other instruments. The coefficients of variation for repeated measurements was 3.33% for the Stratus OCT, 0.46% for the Spectralis HRA+OCT, 3.09% for the Cirrus HD-OCT, 2.23% for the OCT/SLO, 2.77% for the RTVue-100 OCT, and for the SOCT 3.5%, respectively. discussion. The six OCT systems provided different results for CRT. The measurements with the Stratus OCT showed the lowest thicknesses, whereas those with the Cirrus HD-OCT and Spectralis HRA+OCT yielded the highest ones. These discrepancies can be explained by the differences in the retinal segmentation algorithms used by the various OCT systems. Whereas the Spectralis HRA+OCT and Cirrus HD-OCT include the RPE layer in the retinal segmentation, the other instruments do not. The data imply that the different OCT systems cannot be used interchangeably for the measurement of macular thickness.

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Year:  2009        PMID: 19234346     DOI: 10.1167/iovs.08-2970

Source DB:  PubMed          Journal:  Invest Ophthalmol Vis Sci        ISSN: 0146-0404            Impact factor:   4.799


  137 in total

1.  In vivo assessment of retinal neuronal layers in multiple sclerosis with manual and automated optical coherence tomography segmentation techniques.

Authors:  Michaela A Seigo; Elias S Sotirchos; Scott Newsome; Aleksandra Babiarz; Christopher Eckstein; E'tona Ford; Jonathan D Oakley; Stephanie B Syc; Teresa C Frohman; John N Ratchford; Laura J Balcer; Elliot M Frohman; Peter A Calabresi; Shiv Saidha
Journal:  J Neurol       Date:  2012-03-15       Impact factor: 4.849

2.  Optical coherence tomography shows progressive local nerve fiber loss after disc hemorrhages in glaucoma patients.

Authors:  Christoph Kernstock; Janko Dietzsch; Kai Januschowski; Ulrich Schiefer; M Dominik Fischer
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2011-09-25       Impact factor: 3.117

3.  Quantitative analysis of the intraretinal layers and optic nerve head using ultra-high resolution optical coherence tomography.

Authors:  Yuhong Wang; Hong Jiang; Meixiao Shen; Byron L Lam; Delia Cabrera DeBuc; Yufeng Ye; Ming Li; Aizhu Tao; Yilei Shao; Jianhua Wang
Journal:  J Biomed Opt       Date:  2012-06       Impact factor: 3.170

4.  Evolution from macular pseudohole to lamellar macular hole - spectral domain OCT study.

Authors:  Janusz Michalewski; Zofia Michalewska; Krzysztof Dzięgielewski; Jerzy Nawrocki
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2010-08-12       Impact factor: 3.117

5.  Reproducibility and agreement in evaluating retinal nerve fibre layer thickness between Stratus and Spectralis OCT.

Authors:  S N Arthur; S D Smith; M M Wright; A L Grajewski; Q Wang; J M Terry; M S Lee
Journal:  Eye (Lond)       Date:  2010-11-26       Impact factor: 3.775

6.  Improving image segmentation performance and quantitative analysis via a computer-aided grading methodology for optical coherence tomography retinal image analysis.

Authors:  Delia Cabrera Debuc; Harry M Salinas; Sudarshan Ranganathan; Erika Tátrai; Wei Gao; Meixiao Shen; Jianhua Wang; Gábor M Somfai; Carmen A Puliafito
Journal:  J Biomed Opt       Date:  2010 Jul-Aug       Impact factor: 3.170

7.  Comparison and interchangeability of macular thickness measured with Cirrus OCT and Stratus OCT in myopic eyes.

Authors:  Geng Wang; Kun-Liang Qiu; Xue-Hui Lu; Ming-Zhi Zhang
Journal:  Int J Ophthalmol       Date:  2015-12-18       Impact factor: 1.779

Review 8.  Retinal ganglion cell analysis in multiple sclerosis and optic neuritis: a systematic review and meta-analysis.

Authors:  Josefine Britze; Gorm Pihl-Jensen; Jette Lautrup Frederiksen
Journal:  J Neurol       Date:  2017-05-31       Impact factor: 4.849

9.  Characteristics of eyes with inner retinal cleavage.

Authors:  Young Hoon Hwang; Yong Yeon Kim; Hwang Ki Kim; Yong Ho Sohn
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2014-06-18       Impact factor: 3.117

Review 10.  [Diagnosis and monitoring of multiple sclerosis: the value of optical coherence tomography].

Authors:  M Bock; F Paul; J Dörr
Journal:  Nervenarzt       Date:  2013-04       Impact factor: 1.214

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