Literature DB >> 24629619

Rates of retinal nerve fiber layer thinning in glaucoma suspect eyes.

Atsuya Miki1, Felipe A Medeiros2, Robert N Weinreb2, Sonia Jain3, Feng He3, Lucie Sharpsten2, Naira Khachatryan2, Na'ama Hammel2, Jeffrey M Liebmann4, Christopher A Girkin5, Pamela A Sample2, Linda M Zangwill6.   

Abstract

PURPOSE: To compare the rates of retinal nerve fiber layer (RNFL) loss in patients suspected of having glaucoma who developed visual field damage (VFD) with those who did not develop VFD and to determine whether the rate of RNFL loss can be used to predict the development of VFD.
DESIGN: Prospective, observational cohort study. PARTICIPANTS: Glaucoma suspects, defined as having glaucomatous optic neuropathy or ocular hypertension (intraocular pressure, >21 mmHg) without repeatable VFD at baseline, from the Diagnostic Innovations in Glaucoma Study and the African Descent and Glaucoma Evaluation Study.
METHODS: Global and quadrant RNFL thickness (RNFLT) were measured with the Spectralis spectral-domain optical coherence tomography (SD-OCT; Spectralis HRA+OCT [Heidelberg Engineering, Heidelberg, Germany]). Visual field damage was defined as having 3 consecutive abnormal visual fields. The rate of RNFL loss in eyes developing VFD was compared to eyes not developing VFD using multivariate linear mixed-effects models. A joint longitudinal survival model used the estimated RNFLT slope to predict the risk of developing VFD, while adjusting for potential confounding variables. MAIN OUTCOME MEASURES: The rate of RNFL thinning and the probability of developing VFD.
RESULTS: Four hundred fifty-four eyes of 294 glaucoma suspects were included. The average number of SD-OCT examinations was 4.6 (range, 2-9), with median follow-up of 2.2 years (0.4-4.1 years). Forty eyes (8.8%) developed VFD. The estimated mean rate of global RNFL loss was significantly faster in eyes that developed VFD compared with eyes that did not develop VFD (-2.02 μm/year vs. -0.82 μm/year; P<0.001). The joint longitudinal survival model showed that each 1-μm/year faster rate of global RNFL loss corresponded to a 2.05-times higher risk of developing VFD (hazard ratio, 2.05; 95% confidence interval, 1.14-3.71; P = 0.017).
CONCLUSIONS: The rate of global RNFL loss was more than twice as fast in eyes that developed VFD compared with eyes that did not develop VFD. A joint longitudinal survival model showed that a 1-μm/year faster rate of RNFLT loss corresponded to a 2.05-times higher risk of developing VFD. These results suggest that measuring the rate of SD-OCT RNFL loss may be a useful tool to help identify patients who are at a high risk of developing visual field loss.
Copyright © 2014 American Academy of Ophthalmology. Published by Elsevier Inc. All rights reserved.

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Year:  2014        PMID: 24629619      PMCID: PMC4310561          DOI: 10.1016/j.ophtha.2014.01.017

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


  59 in total

1.  Trend-based analysis of retinal nerve fiber layer thickness measured by optical coherence tomography in eyes with localized nerve fiber layer defects.

Authors:  Eun Ji Lee; Tae-Woo Kim; Robert N Weinreb; Ki Ho Park; Seok Hwan Kim; Dong Myung Kim
Journal:  Invest Ophthalmol Vis Sci       Date:  2011-02-28       Impact factor: 4.799

2.  Peripapillary retinal nerve fiber layer thickness determined by spectral-domain optical coherence tomography in ophthalmologically normal eyes.

Authors:  Hiroyo Hirasawa; Atsuo Tomidokoro; Makoto Araie; Shinsuke Konno; Hitomi Saito; Aiko Iwase; Motohiro Shirakashi; Haruki Abe; Shinji Ohkubo; Kazuhisa Sugiyama; Tomohiro Ootani; Shoji Kishi; Kenji Matsushita; Naoyuki Maeda; Masanori Hangai; Nagahisa Yoshimura
Journal:  Arch Ophthalmol       Date:  2010-11

3.  Comparison of retinal nerve fiber layer thickness in normal eyes using time-domain and spectral-domain optical coherence tomography.

Authors:  Leonard K Seibold; Naresh Mandava; Malik Y Kahook
Journal:  Am J Ophthalmol       Date:  2010-12       Impact factor: 5.258

4.  Reproducibility of retinal nerve fiber layer thickness measurements using the eye tracker and the retest function of Spectralis SD-OCT in glaucomatous and healthy control eyes.

Authors:  Stefan J Langenegger; Jens Funk; Marc Töteberg-Harms
Journal:  Invest Ophthalmol Vis Sci       Date:  2011-05-18       Impact factor: 4.799

5.  Retinal nerve fiber layer imaging with spectral-domain optical coherence tomography: a prospective analysis of age-related loss.

Authors:  Christopher K S Leung; Marco Yu; Robert N Weinreb; Cong Ye; Shu Liu; Gilda Lai; Dennis S C Lam
Journal:  Ophthalmology       Date:  2012-01-20       Impact factor: 12.079

6.  Progression detection capability of macular thickness in advanced glaucomatous eyes.

Authors:  Kyung Rim Sung; Jae Hong Sun; Jung Hwa Na; Jin Young Lee; Youngrok Lee
Journal:  Ophthalmology       Date:  2011-12-17       Impact factor: 12.079

7.  Comparative study of retinal nerve fibre layer measurement by RTVue OCT and GDx VCC.

Authors:  Xiaozhen Wang; Shuning Li; Jing Fu; Gewei Wu; Dapeng Mu; Songfeng Li; Jian Wang; Ningli Wang
Journal:  Br J Ophthalmol       Date:  2010-07-23       Impact factor: 4.638

8.  Retinal nerve fiber layer imaging with spectral-domain optical coherence tomography: patterns of retinal nerve fiber layer progression.

Authors:  Christopher Kai-Shun Leung; Marco Yu; Robert N Weinreb; Gilda Lai; Guihua Xu; Dennis Shun-Chiu Lam
Journal:  Ophthalmology       Date:  2012-06-05       Impact factor: 12.079

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.  Evaluation of retinal nerve fiber layer progression in glaucoma: a comparison between spectral-domain and time-domain optical coherence tomography.

Authors:  Christopher Kai-Shun Leung; Vivian Chiu; Robert N Weinreb; Shu Liu; Cong Ye; Marco Yu; Carol Yim-Lui Cheung; Gilda Lai; Dennis Shun-Chiu Lam
Journal:  Ophthalmology       Date:  2011-04-29       Impact factor: 12.079

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  64 in total

1.  Head-down Posture in Glaucoma Suspects Induces Changes in IOP, Systemic Pressure, and PERG That Predict Future Loss of Optic Nerve Tissue.

Authors:  Vittorio Porciatti; William J Feuer; Pedro Monsalve; Giacinto Triolo; Luis Vazquez; John McSoley; Lori M Ventura
Journal:  J Glaucoma       Date:  2017-05       Impact factor: 2.503

2.  What rates of glaucoma progression are clinically significant?

Authors:  Luke J Saunders; Felipe A Medeiros; Robert N Weinreb; Linda M Zangwill
Journal:  Expert Rev Ophthalmol       Date:  2016-05-13

3.  Quantitative Trait Locus Analysis of SIX1-SIX6 With Retinal Nerve Fiber Layer Thickness in Individuals of European Descent.

Authors:  Jane Z Kuo; Linda M Zangwill; Felipe A Medeiros; Jeffery M Liebmann; Christopher A Girkin; Na'ama Hammel; Jerome I Rotter; Robert N Weinreb
Journal:  Am J Ophthalmol       Date:  2015-04-04       Impact factor: 5.258

4.  Towards label-free 3D segmentation of optical coherence tomography images of the optic nerve head using deep learning.

Authors:  Sripad Krishna Devalla; Tan Hung Pham; Satish Kumar Panda; Liang Zhang; Giridhar Subramanian; Anirudh Swaminathan; Chin Zhi Yun; Mohan Rajan; Sujatha Mohan; Ramaswami Krishnadas; Vijayalakshmi Senthil; John Mark S De Leon; Tin A Tun; Ching-Yu Cheng; Leopold Schmetterer; Shamira Perera; Tin Aung; Alexandre H Thiéry; Michaël J A Girard
Journal:  Biomed Opt Express       Date:  2020-10-15       Impact factor: 3.732

5.  The distribution of retinal nerve fiber layer thickness and associations with age, refraction, and axial length: the Gutenberg health study.

Authors:  Esther M Hoffmann; Irene Schmidtmann; Angeliki Siouli; Alexander K Schuster; Manfred E Beutel; Norbert Pfeiffer; Julia Lamparter
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2018-05-18       Impact factor: 3.117

6.  DRUNET: a dilated-residual U-Net deep learning network to segment optic nerve head tissues in optical coherence tomography images.

Authors:  Sripad Krishna Devalla; Prajwal K Renukanand; Bharathwaj K Sreedhar; Giridhar Subramanian; Liang Zhang; Shamira Perera; Jean-Martial Mari; Khai Sing Chin; Tin A Tun; Nicholas G Strouthidis; Tin Aung; Alexandre H Thiéry; Michaël J A Girard
Journal:  Biomed Opt Express       Date:  2018-06-25       Impact factor: 3.732

7.  PANRETINAL PHOTOCOAGULATION VERSUS RANIBIZUMAB FOR PROLIFERATIVE DIABETIC RETINOPATHY: Comparison of Peripapillary Retinal Nerve Fiber Layer Thickness in a Randomized Clinical Trial.

Authors:  Lee M Jampol; Isoken Odia; Adam R Glassman; Carl W Baker; Anjali M Bhorade; Dennis P Han; Glenn J Jaffe; Michele Melia; Neil M Bressler; Angelo P Tanna
Journal:  Retina       Date:  2019-01       Impact factor: 4.256

8.  Association between Rates of Retinal Nerve Fiber Layer Thinning after Intraocular Pressure-Lowering Procedures and Disc Hemorrhage.

Authors:  Huiyuan Hou; Sasan Moghimi; Linda M Zangwill; James A Proudfoot; Tadamichi Akagi; Takuhei Shoji; Christopher A Girkin; Jeffrey M Liebmann; Robert N Weinreb
Journal:  Ophthalmol Glaucoma       Date:  2019-11-14

9.  Localized Changes in Retinal Nerve Fiber Layer Thickness as a Predictor of Localized Functional Change in Glaucoma.

Authors:  Stuart K Gardiner; Brad Fortune; Shaban Demirel
Journal:  Am J Ophthalmol       Date:  2016-08-01       Impact factor: 5.258

10.  Rates of Retinal Nerve Fiber Layer Loss in Contralateral Eyes of Glaucoma Patients with Unilateral Progression by Conventional Methods.

Authors:  Ting Liu; Andrew J Tatham; Carolina P B Gracitelli; Linda M Zangwill; Robert N Weinreb; Felipe A Medeiros
Journal:  Ophthalmology       Date:  2015-09-15       Impact factor: 12.079

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