Literature DB >> 23844647

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

Mai Takahashi1, Kazuko Omodaka, Kazuichi Maruyama, Takuhiro Yamaguchi, Noriko Himori, Yukihiro Shiga, Morin Ryu, Hiroshi Kunikata, Toru Nakazawa.   

Abstract

PURPOSE: We investigated in detail the correlation between structure and function in the macula, and whether optical coherence tomography (OCT)-measured macular structure could be used to simulate the visual field.
MATERIALS AND METHODS: This study comprised 60 eyes of 34 patients with open angle glaucoma (Anderson-Patella classification). To assess macular function, reliable data from the Humphrey field analyzer (HFA, SITA-standard, 10-2 program) for threshold, total deviation (TD), and pattern deviation (PD) were used. To assess macular structure, thickness data for the retinal nerve fiber layer (RNFL), ganglion cell complex (GCC), and ganglion cell layer plus inner plexiform layer (GCL + IPL) from macular OCT maps (3D OCT-2000, Topcon) were analyzed. Spearman's coefficient of correlation analysis was performed to determine the significance of the correlation, as well as the formula for simulation. The formula was used to calculate the simulated threshold, TD, and PD values. The simulation method was validated by comparing results for simulated and actual visual fields in a new data set of 29 eyes from glaucoma patients.
RESULTS: In most test points, macular function and the layer-by-layer structure were significantly correlated, however, the distribution of highly-correlated points varied. Simulated grayscale maps of the visual field based on the formula of regression line for RNFLT and thresholds were similar to actual visual fields. There was a significant correlation between simulated visual fields created from RNFLT, GCC and GCL + IPL data and actual average threshold values in all 68 test points (r = 0.63-0.87, p < 0.001) and TD (r = 0.62-0.86, p < 0.001).
CONCLUSION: We found that there was a significant correlation between structure and function in the macular area, and that simulated visual fields from RNFLT data reflected actual visual fields. Such a simulation of macular function from OCT parameters may be useful in assessing glaucoma in patients who have difficulty undergoing actual visual field examinations.

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Mesh:

Year:  2013        PMID: 23844647     DOI: 10.3109/02713683.2013.807932

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


  12 in total

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

Authors:  Kaori Ueda; Akiyasu Kanamori; Azusa Akashi; Yuki Kawaka; Yuko Yamada; Makoto Nakamura
Journal:  Jpn J Ophthalmol       Date:  2014-11-07       Impact factor: 2.447

2.  New Insight: Preperimetric Homonymous Hemianopia.

Authors:  Sangyoun Han; Ungsoo Samuel Kim
Journal:  Neuroophthalmology       Date:  2014-06-09

3.  Multivariable logistic regression model: a novel mathematical model that predicts visual field sensitivity from macular ganglion cell complex thickness in glaucoma.

Authors:  Daisuke Shiba; Shin Hatou; Takeshi Ono; Shingo Hosoda; Sachiko Tanabe; Naoki Ozeki; Kenya Yuki; Masaru Shimoyama; Kazumi Fukagawa; Shigeto Shimmura; Kazuo Tsubota
Journal:  PLoS One       Date:  2014-08-18       Impact factor: 3.240

4.  Genetic analysis of Japanese primary open-angle glaucoma patients and clinical characterization of risk alleles near CDKN2B-AS1, SIX6 and GAS7.

Authors:  Yukihiro Shiga; Koji M Nishiguchi; Yosuke Kawai; Kaname Kojima; Kota Sato; Kosuke Fujita; Mai Takahashi; Kazuko Omodaka; Makoto Araie; Kenji Kashiwagi; Makoto Aihara; Takeshi Iwata; Fumihiko Mabuchi; Mitsuko Takamoto; Mineo Ozaki; Kazuhide Kawase; Nobuo Fuse; Masayuki Yamamoto; Jun Yasuda; Masao Nagasaki; Toru Nakazawa
Journal:  PLoS One       Date:  2017-12-20       Impact factor: 3.240

5.  A basis for customising perimetric locations within the macula in glaucoma.

Authors:  Muhammed S Alluwimi; William H Swanson; Victor E Malinovsky; Brett J King
Journal:  Ophthalmic Physiol Opt       Date:  2018-01-08       Impact factor: 3.117

6.  Estimation of the central 10-degree visual field using en-face images obtained by optical coherence tomography.

Authors:  Ryu Iikawa; Tetsuya Togano; Yuta Sakaue; Aki Suetake; Ryoko Igarashi; Daiki Miyamoto; Kiyoshi Yaoeda; Masaaki Seki; Takeo Fukuchi
Journal:  PLoS One       Date:  2020-03-05       Impact factor: 3.240

7.  Retinal Thickness and the Structure/Function Relationship in the Eyes of Older Adults with Glaucoma.

Authors:  Megumi Honjo; Kazuko Omodaka; Tatsuro Ishizaki; Shinji Ohkubo; Makoto Araie; Toru Nakazawa
Journal:  PLoS One       Date:  2015-10-27       Impact factor: 3.240

8.  Usefulness of axonal tract-dependent OCT macular sectors for evaluating structural change in normal-tension glaucoma.

Authors:  Kazuko Omodaka; Tsutomu Kikawa; Yukihiro Shiga; Satoru Tsuda; Yu Yokoyama; Haruka Sato; Junko Ohuchi; Akiko Matsumoto; Hidetoshi Takahashi; Masahiro Akiba; Toru Nakazawa
Journal:  PLoS One       Date:  2017-10-03       Impact factor: 3.240

9.  Artificial Intelligence Mapping of Structure to Function in Glaucoma.

Authors:  Eduardo B Mariottoni; Shounak Datta; David Dov; Alessandro A Jammal; Samuel I Berchuck; Ivan M Tavares; Lawrence Carin; Felipe A Medeiros
Journal:  Transl Vis Sci Technol       Date:  2020-03-30       Impact factor: 3.283

10.  Improving the structure-function relationship in glaucomatous and normative eyes by incorporating photoreceptor layer thickness.

Authors:  Masato Matsuura; Yuri Fujino; Takashi Kanamoto; Hiroshi Murata; Mieko Yanagisawa; Kazunori Hirasawa; Tatsuya Inoue; Nobuyuki Shoji; Kenji Inoue; Junkichi Yamagami; Ryo Asaoka
Journal:  Sci Rep       Date:  2018-07-11       Impact factor: 4.379

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