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Identifying Glaucomatous Damage to the Macula
SIGNIFICANCE: Measurements of the macula have been increasingly used to diagnose and manage patients with glaucoma. Asymmetry analysis was clinically introduced to assess damage to the macular ganglion cells in patients with glaucoma, but its effectiveness is limited by high normal between-subject v...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5794242/ https://www.ncbi.nlm.nih.gov/pubmed/29370025 http://dx.doi.org/10.1097/OPX.0000000000001166 |
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author | Alluwimi, Muhammed S. Swanson, William H. King, Brett J. |
author_facet | Alluwimi, Muhammed S. Swanson, William H. King, Brett J. |
author_sort | Alluwimi, Muhammed S. |
collection | PubMed |
description | SIGNIFICANCE: Measurements of the macula have been increasingly used to diagnose and manage patients with glaucoma. Asymmetry analysis was clinically introduced to assess damage to the macular ganglion cells in patients with glaucoma, but its effectiveness is limited by high normal between-subject variability. PURPOSE: We aimed to reduce the high normal between-subject variability and improve the potential of asymmetry analysis to identify glaucomatous damage to the macula. METHODS: Twenty patients with glaucoma (aged 57 to 85 years) and 30 age-similar control subjects (aged 53 to 89 years) were recruited from a longitudinal glaucoma study. Participants were imaged with the Spectralis OCT using the posterior pole protocol; measurements of the averaged retinal thickness and ganglion cell layer (GCL) thickness were obtained. We established three zones per hemifield within the central ±9°, based on the lowest between-subject variability that we previously found and the course of retinal nerve fiber layer projections. The criteria for flagging abnormality were at least two contiguous zones when P < 5% or one zone when P < 1% with two-tailed tests. RESULTS: Between-subject variability of the asymmetry analysis for both retinal and GCL thicknesses remained lower than that of the average thickness across each zone in control subjects (F > 2.52, P < .01). Asymmetry analysis of retinal and GCL thicknesses flagged 16 and 18 of 20 patients, respectively. CONCLUSIONS: Between-subject variability was reduced in control subjects using the three zones; our criteria identified glaucomatous damage to the macula in most of the patients. We used high-density B-scans to confirm the patterns of the glaucomatous damage we found in this study. |
format | Online Article Text |
id | pubmed-5794242 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-57942422018-02-13 Identifying Glaucomatous Damage to the Macula Alluwimi, Muhammed S. Swanson, William H. King, Brett J. Optom Vis Sci Original Investigations SIGNIFICANCE: Measurements of the macula have been increasingly used to diagnose and manage patients with glaucoma. Asymmetry analysis was clinically introduced to assess damage to the macular ganglion cells in patients with glaucoma, but its effectiveness is limited by high normal between-subject variability. PURPOSE: We aimed to reduce the high normal between-subject variability and improve the potential of asymmetry analysis to identify glaucomatous damage to the macula. METHODS: Twenty patients with glaucoma (aged 57 to 85 years) and 30 age-similar control subjects (aged 53 to 89 years) were recruited from a longitudinal glaucoma study. Participants were imaged with the Spectralis OCT using the posterior pole protocol; measurements of the averaged retinal thickness and ganglion cell layer (GCL) thickness were obtained. We established three zones per hemifield within the central ±9°, based on the lowest between-subject variability that we previously found and the course of retinal nerve fiber layer projections. The criteria for flagging abnormality were at least two contiguous zones when P < 5% or one zone when P < 1% with two-tailed tests. RESULTS: Between-subject variability of the asymmetry analysis for both retinal and GCL thicknesses remained lower than that of the average thickness across each zone in control subjects (F > 2.52, P < .01). Asymmetry analysis of retinal and GCL thicknesses flagged 16 and 18 of 20 patients, respectively. CONCLUSIONS: Between-subject variability was reduced in control subjects using the three zones; our criteria identified glaucomatous damage to the macula in most of the patients. We used high-density B-scans to confirm the patterns of the glaucomatous damage we found in this study. Lippincott Williams & Wilkins 2018-02 2018-01-25 /pmc/articles/PMC5794242/ /pubmed/29370025 http://dx.doi.org/10.1097/OPX.0000000000001166 Text en Copyright © 2018 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Optometry. This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (http://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. |
spellingShingle | Original Investigations Alluwimi, Muhammed S. Swanson, William H. King, Brett J. Identifying Glaucomatous Damage to the Macula |
title | Identifying Glaucomatous Damage to the Macula |
title_full | Identifying Glaucomatous Damage to the Macula |
title_fullStr | Identifying Glaucomatous Damage to the Macula |
title_full_unstemmed | Identifying Glaucomatous Damage to the Macula |
title_short | Identifying Glaucomatous Damage to the Macula |
title_sort | identifying glaucomatous damage to the macula |
topic | Original Investigations |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5794242/ https://www.ncbi.nlm.nih.gov/pubmed/29370025 http://dx.doi.org/10.1097/OPX.0000000000001166 |
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