Literature DB >> 21093920

Evaluation of retinal nerve fiber layer progression in glaucoma: a comparison between the fast and the regular retinal nerve fiber layer scans.

Christopher Kai-Shun Leung1, Carol Yim-Lui Cheung, Robert Neal Weinreb, Shu Liu, Cong Ye, Gilda Lai, Nancy Liu, Chi Pui Pang, Kwok Kay Tse, Dennis Shun Chiu Lam.   

Abstract

OBJECTIVE: To compare the performance of the fast (256 A-scans in each scan circle) and the regular (512 A-scans in each scan circle) retinal nerve fiber layer (RNFL) scan protocols for detection of glaucoma progression using the Stratus optical coherence tomography (OCT) device (Carl Zeiss Meditec, Dublin, CA).
DESIGN: Retrospective, longitudinal study. PARTICIPANTS: One hundred twenty-nine eyes from 72 glaucoma patients.
METHODS: All patients had been followed up for 2.9 to 6.1 years with a median follow-up of 4 months. All eyes had at least 4 serial RNFL measurements obtained with both the fast and the regular RNFL scans. Visual field (VF) assessment was performed on the same day as RNFL imaging. Retinal nerve fiber layer thickness and VF progression were evaluated with linear regression analysis against age. The mean rate of average RNFL thickness reduction was estimated with linear mixed modeling. MAIN OUTCOME MEASURES: The agreement of progression detection and the rate of change of RNFL thicknesses.
RESULTS: A total of 1373 fast and 1373 regular RNFL scans and 1236 VF tests were analyzed. With reference to the average RNFL thickness, the fast RNFL scan detected more eyes with progression (21 eyes from 19 patients vs. 15 eyes from 13 patients) than the regular scan at a comparable level of specificity (96.9% vs. 96.1%). More eyes were found to have increasing RNFL thickness with age at individual clock hours (except for 3, 5, 6, and 11 o'clock) when the measurements were obtained with the regular scan. The agreement between the fast and the regular scan for detection of RNFL progression was fair to moderate, with κ values ranging between 0.14 and 0.49. The rate of average RNFL thickness progression was -1.01 μm per year for the fast RNFL scan and -0.77 μm per year for the regular scan.
CONCLUSIONS: The choice of scan protocols in the Stratus OCT has a significant impact in the evaluation of RNFL progression. The fast RNFL scan seems to be preferable to follow RNFL damage in glaucoma.
Copyright © 2011. Published by Elsevier Inc.

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Mesh:

Year:  2010        PMID: 21093920     DOI: 10.1016/j.ophtha.2010.08.014

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


  13 in total

Review 1.  Test-retest variability in structural parameters measured with glaucoma imaging devices.

Authors:  Makoto Araie
Journal:  Jpn J Ophthalmol       Date:  2012-11-09       Impact factor: 2.447

2.  Trends in use of ancillary glaucoma tests for patients with open-angle glaucoma from 2001 to 2009.

Authors:  Joshua D Stein; Nidhi Talwar; Alejandra M Laverne; Bin Nan; Paul R Lichter
Journal:  Ophthalmology       Date:  2012-01-03       Impact factor: 12.079

3.  Forecasting Retinal Nerve Fiber Layer Thickness from Multimodal Temporal Data Incorporating OCT Volumes.

Authors:  Suman Sedai; Bhavna Antony; Hiroshi Ishikawa; Gadi Wollstein; Joel S Schuman; Rahil Garnavi
Journal:  Ophthalmol Glaucoma       Date:  2019-11-08

4.  Advances in the Structural Evaluation of Glaucoma with Optical Coherence Tomography.

Authors:  Daniel Meira-Freitas; Renato Lisboa; Felipe A Medeiros
Journal:  Curr Ophthalmol Rep       Date:  2013-06-01

5.  Clinical Prediction Performance of Glaucoma Progression Using a 2-Dimensional Continuous-Time Hidden Markov Model with Structural and Functional Measurements.

Authors:  Youngseok Song; Hiroshi Ishikawa; Mengfei Wu; Yu-Ying Liu; Katie A Lucy; Fabio Lavinsky; Mengling Liu; Gadi Wollstein; Joel S Schuman
Journal:  Ophthalmology       Date:  2018-03-20       Impact factor: 12.079

6.  Combining information from 3 anatomic regions in the diagnosis of glaucoma with time-domain optical coherence tomography.

Authors:  Mingwu Wang; Ake Tzu-Hui Lu; Rohit Varma; Joel S Schuman; David S Greenfield; David Huang
Journal:  J Glaucoma       Date:  2014-03       Impact factor: 2.503

7.  Combining structural and functional measurements to improve detection of glaucoma progression using Bayesian hierarchical models.

Authors:  Felipe A Medeiros; Mauro T Leite; Linda M Zangwill; Robert N Weinreb
Journal:  Invest Ophthalmol Vis Sci       Date:  2011-07-29       Impact factor: 4.799

8.  Longitudinal modeling of glaucoma progression using 2-dimensional continuous-time hidden Markov model.

Authors:  Yu-Ying Liu; Hiroshi Ishikawa; Mei Chen; Gadi Wollstein; Joel S Schumnan; James M Rehg
Journal:  Med Image Comput Comput Assist Interv       Date:  2013

Review 9.  Detecting Structural Progression in Glaucoma with Optical Coherence Tomography.

Authors:  Andrew J Tatham; Felipe A Medeiros
Journal:  Ophthalmology       Date:  2017-12       Impact factor: 12.079

10.  A combined index of structure and function for staging glaucomatous damage.

Authors:  Felipe A Medeiros; Renato Lisboa; Robert N Weinreb; Christopher A Girkin; Jeffrey M Liebmann; Linda M Zangwill
Journal:  Arch Ophthalmol       Date:  2012-09
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