Literature DB >> 25377494

Difference in correspondence between visual field defect and inner macular layer thickness measured using three types of spectral-domain OCT instruments.

Kaori Ueda1, Akiyasu Kanamori, Azusa Akashi, Yuki Kawaka, Yuko Yamada, Makoto Nakamura.   

Abstract

PURPOSE: To compare the relationship between visual field sensitivity (VFS) and macular parameters measured using three spectral-domain optical coherence tomography (SD-OCT) instruments and to determine a base level (=floor effect) for macular parameters.
METHODS: We imaged 127 glaucomatous eyes (1 eye per subject) using three different OCT instruments, i.e., the Cirrus, RTVue and 3D OCT devices; 76 normal eyes were evaluated as controls using the same instruments. The thicknesses of the macular retinal nerve fiber layer (mRNFL), ganglion cell layer+inner plexiform layer (GCL/IPL), and mRNFL+GCL/IPL (GCC) were analyzed. The VFS of the area analyzed by OCT was expressed in decibels and the 1/Lambert scale. For each parameter, the structure-function relationship and the base level were evaluated by regression analysis. The strength of the correlations between the instruments was compared by the bootstrapping method.
RESULTS: All of the macular parameters evaluated exhibited statistically significant correlations with VFS. The average GCC measured by all three SD-OCT instruments and the average mRNFL thickness measured by the Cirrus and 3D OCT instruments had similar correlations with VFS. The average GCL/IPL thickness measured by the Cirrus OCT instrument was better correlated with VFS that was measured by the 3D OCT instrument (p = 0.031). The base level GCC thickness measured by all three instruments was approximately 65% of that of normal eyes. The base level mRNFL thickness measured with the Cirrus and OCT instruments was 52 and 48%, respectively, of that of normal eyes. The base level GCL/IPL thickness measured with the Cirrus and 3D instruments was 71 and 75%, respectively, of that of normal eyes.
CONCLUSIONS: The three SD-OCT instruments evaluated showed similar structure-function relationships in terms of GCC and mRNFL measurements. The base levels of the macular parameters determined by the three instruments differed, due, at least partly, to the scanning area defined by each instrument.

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Year:  2014        PMID: 25377494     DOI: 10.1007/s10384-014-0355-z

Source DB:  PubMed          Journal:  Jpn J Ophthalmol        ISSN: 0021-5155            Impact factor:   2.447


  40 in total

1.  Retinal ganglion cell and inner plexiform layer thickness measurements in regions of severe visual field sensitivity loss in patients with glaucoma.

Authors:  A L de A Moura; A S Raza; M A Lazow; C G De Moraes; D C Hood
Journal:  Eye (Lond)       Date:  2012-06-15       Impact factor: 3.775

2.  Relationship between visual field sensitivity and macular ganglion cell complex thickness as measured by spectral-domain optical coherence tomography.

Authors:  Jung Woo Cho; Kyung Rim Sung; Suhwan Lee; Sung-Cheol Yun; Sung Yong Kang; Jaewan Choi; Jung Hwa Na; Youngrok Lee; Michael S Kook
Journal:  Invest Ophthalmol Vis Sci       Date:  2010-07-14       Impact factor: 4.799

3.  Three-dimensional imaging of macular inner structures in glaucoma by using spectral-domain optical coherence tomography.

Authors:  Yuriko Kotera; Masanori Hangai; Fumitaka Hirose; Satoshi Mori; Nagahisa Yoshimura
Journal:  Invest Ophthalmol Vis Sci       Date:  2011-03-14       Impact factor: 4.799

4.  The length of Henle fibers in the human retina and a model of ganglion receptive field density in the visual field.

Authors:  Neville Drasdo; C Leigh Millican; Charles R Katholi; Christine A Curcio
Journal:  Vision Res       Date:  2007-02-22       Impact factor: 1.886

5.  Development of a new strategy of visual field testing for macular dysfunction in patients with open angle glaucoma.

Authors:  Kazuko Omodaka; Shiho Kunimatsu-Sanuki; Ryu Morin; Satoru Tsuda; Yu Yokoyama; Hidetoshi Takahashi; Kazuichi Maruyama; Hiroshi Kunikata; Toru Nakazawa
Journal:  Jpn J Ophthalmol       Date:  2013-06-29       Impact factor: 2.447

6.  Regional correlation among ganglion cell complex, nerve fiber layer, and visual field loss in glaucoma.

Authors:  Phuc V Le; Ou Tan; Vikas Chopra; Brian A Francis; Omar Ragab; Rohit Varma; David Huang
Journal:  Invest Ophthalmol Vis Sci       Date:  2013-06-21       Impact factor: 4.799

7.  Simulated visual fields produced from macular RNFLT data in patients with glaucoma.

Authors:  Mai Takahashi; Kazuko Omodaka; Kazuichi Maruyama; Takuhiro Yamaguchi; Noriko Himori; Yukihiro Shiga; Morin Ryu; Hiroshi Kunikata; Toru Nakazawa
Journal:  Curr Eye Res       Date:  2013-07-11       Impact factor: 2.424

8.  Linking structure and function in glaucoma.

Authors:  R S Harwerth; J L Wheat; M J Fredette; D R Anderson
Journal:  Prog Retin Eye Res       Date:  2010-03-11       Impact factor: 21.198

9.  Evaluation of retinal nerve fiber layer progression in glaucoma a prospective analysis with neuroretinal rim and visual field progression.

Authors:  Christopher Kai Shun Leung; Shu Liu; Robert N Weinreb; Gilda Lai; Cong Ye; Carol Yim Lui Cheung; Chi Pui Pang; Kwok Kay Tse; Dennis Shun Chiu Lam
Journal:  Ophthalmology       Date:  2011-04-29       Impact factor: 12.079

10.  Detection of macular ganglion cell loss in glaucoma by Fourier-domain optical coherence tomography.

Authors:  Ou Tan; Vikas Chopra; Ake Tzu-Hui Lu; Joel S Schuman; Hiroshi Ishikawa; Gadi Wollstein; Rohit Varma; David Huang
Journal:  Ophthalmology       Date:  2009-09-10       Impact factor: 12.079

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  4 in total

Review 1.  Macular imaging with optical coherence tomography in glaucoma.

Authors:  Vahid Mohammadzadeh; Nima Fatehi; Adeleh Yarmohammadi; Ji Woong Lee; Farideh Sharifipour; Ramin Daneshvar; Joseph Caprioli; Kouros Nouri-Mahdavi
Journal:  Surv Ophthalmol       Date:  2020-03-19       Impact factor: 6.048

2.  Steps to Measurement Floor of an Optical Microangiography Device in Glaucoma.

Authors:  Mark J Phillips; Duyen Dinh-Dang; Kyle Bolo; Bruce Burkemper; Jae C Lee; Vivian H LeTran; Brenda R Chang; Dominic J Grisafe; Zhongdi Chu; Xiao Zhou; Brian J Song; Benjamin Y Xu; Brandon Wong; Ruikang K Wang; Grace M Richter
Journal:  Am J Ophthalmol       Date:  2021-05-26       Impact factor: 5.258

3.  OCTA Multilayer and Multisector Peripapillary Microvascular Modeling for Diagnosing and Staging of Glaucoma.

Authors:  Danilo Andrade De Jesus; Luisa Sánchez Brea; João Barbosa Breda; Ella Fokkinga; Vera Ederveen; Noor Borren; Amerens Bekkers; Michael Pircher; Ingeborg Stalmans; Stefan Klein; Theo van Walsum
Journal:  Transl Vis Sci Technol       Date:  2020-11-05       Impact factor: 3.283

4.  The association between structure-function relationships and cognitive impairment in elderly glaucoma patients.

Authors:  Megumi Honjo; Jiro Numaga; Tadashi Hara; Ryo Asaoka
Journal:  Sci Rep       Date:  2017-08-02       Impact factor: 4.379

  4 in total

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