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Estimating the rate of retinal ganglion cell loss to detect glaucoma progression: An observational cohort study
This study aimed to evaluate the relationship between glaucoma progression and estimates of the retinal ganglion cells (RGCs) obtained by combining structural and functional measurements in patients with glaucoma. In the present observational cohort study, we examined 116 eyes of 62 glaucoma patient...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5265828/ https://www.ncbi.nlm.nih.gov/pubmed/27472691 http://dx.doi.org/10.1097/MD.0000000000004209 |
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author | Hirooka, Kazuyuki Izumibata, Saeko Ukegawa, Kaori Nitta, Eri Tsujikawa, Akitaka |
author_facet | Hirooka, Kazuyuki Izumibata, Saeko Ukegawa, Kaori Nitta, Eri Tsujikawa, Akitaka |
author_sort | Hirooka, Kazuyuki |
collection | PubMed |
description | This study aimed to evaluate the relationship between glaucoma progression and estimates of the retinal ganglion cells (RGCs) obtained by combining structural and functional measurements in patients with glaucoma. In the present observational cohort study, we examined 116 eyes of 62 glaucoma patients. Using Cirrus optical coherence tomography (OCT), a minimum of 5 serial retinal nerve fiber layer (RNFL) measurements were performed in all eyes. There was a 3-year separation between the first and last measurements. Visual field (VF) testing was performed on the same day as the RNFL imaging using the Swedish Interactive Threshold Algorithm Standard 30–2 program of the Humphrey Field Analyzer. Estimates of the RGC counts were obtained from standard automated perimetry (SAP) and OCT, with a weighted average then used to determine a final estimate of the number of RGCs for each eye. Linear regression was used to calculate the rate of the RGC loss, and trend analysis was used to evaluate both serial RNFL thicknesses and VF progression. Use of the average RNFL thickness parameter of OCT led to detection of progression in 14 of 116 eyes examined, whereas the mean deviation slope detected progression in 31 eyes. When the rates of RGC loss were used, progression was detected in 41 of the 116 eyes, with a mean rate of RGC loss of −28,260 ± 8110 cells/year. Estimation of the rate of RGC loss by combining structural and functional measurements resulted in better detection of glaucoma progression compared to either OCT or SAP. |
format | Online Article Text |
id | pubmed-5265828 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-52658282017-02-03 Estimating the rate of retinal ganglion cell loss to detect glaucoma progression: An observational cohort study Hirooka, Kazuyuki Izumibata, Saeko Ukegawa, Kaori Nitta, Eri Tsujikawa, Akitaka Medicine (Baltimore) 5800 This study aimed to evaluate the relationship between glaucoma progression and estimates of the retinal ganglion cells (RGCs) obtained by combining structural and functional measurements in patients with glaucoma. In the present observational cohort study, we examined 116 eyes of 62 glaucoma patients. Using Cirrus optical coherence tomography (OCT), a minimum of 5 serial retinal nerve fiber layer (RNFL) measurements were performed in all eyes. There was a 3-year separation between the first and last measurements. Visual field (VF) testing was performed on the same day as the RNFL imaging using the Swedish Interactive Threshold Algorithm Standard 30–2 program of the Humphrey Field Analyzer. Estimates of the RGC counts were obtained from standard automated perimetry (SAP) and OCT, with a weighted average then used to determine a final estimate of the number of RGCs for each eye. Linear regression was used to calculate the rate of the RGC loss, and trend analysis was used to evaluate both serial RNFL thicknesses and VF progression. Use of the average RNFL thickness parameter of OCT led to detection of progression in 14 of 116 eyes examined, whereas the mean deviation slope detected progression in 31 eyes. When the rates of RGC loss were used, progression was detected in 41 of the 116 eyes, with a mean rate of RGC loss of −28,260 ± 8110 cells/year. Estimation of the rate of RGC loss by combining structural and functional measurements resulted in better detection of glaucoma progression compared to either OCT or SAP. Wolters Kluwer Health 2016-07-29 /pmc/articles/PMC5265828/ /pubmed/27472691 http://dx.doi.org/10.1097/MD.0000000000004209 Text en Copyright © 2016 the Author(s). Published by Wolters Kluwer Health, Inc. All rights reserved. http://creativecommons.org/licenses/by/4.0 This is an open access article distributed under the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0 |
spellingShingle | 5800 Hirooka, Kazuyuki Izumibata, Saeko Ukegawa, Kaori Nitta, Eri Tsujikawa, Akitaka Estimating the rate of retinal ganglion cell loss to detect glaucoma progression: An observational cohort study |
title | Estimating the rate of retinal ganglion cell loss to detect glaucoma progression: An observational cohort study |
title_full | Estimating the rate of retinal ganglion cell loss to detect glaucoma progression: An observational cohort study |
title_fullStr | Estimating the rate of retinal ganglion cell loss to detect glaucoma progression: An observational cohort study |
title_full_unstemmed | Estimating the rate of retinal ganglion cell loss to detect glaucoma progression: An observational cohort study |
title_short | Estimating the rate of retinal ganglion cell loss to detect glaucoma progression: An observational cohort study |
title_sort | estimating the rate of retinal ganglion cell loss to detect glaucoma progression: an observational cohort study |
topic | 5800 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5265828/ https://www.ncbi.nlm.nih.gov/pubmed/27472691 http://dx.doi.org/10.1097/MD.0000000000004209 |
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