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Normative Database for All Retinal Layer Thicknesses Using SD-OCT Posterior Pole Algorithm and the Effects of Age, Gender and Axial Lenght

Our aim was to provide, for the first time, reference thickness values for the SD-OCT posterior pole algorithm (PPA) available for Spectralis OCT device (Heidelberg Engineering, Heidelberg, Germany) and to analyze the correlations with age, gender and axial length. We recruited 300 eyes of 300 healt...

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Autores principales: Palazon-Cabanes, Ana, Palazon-Cabanes, Begoña, Rubio-Velazquez, Elena, Lopez-Bernal, Maria Dolores, Garcia-Medina, Jose Javier, Villegas-Perez, Maria Paz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7602827/
https://www.ncbi.nlm.nih.gov/pubmed/33076558
http://dx.doi.org/10.3390/jcm9103317
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author Palazon-Cabanes, Ana
Palazon-Cabanes, Begoña
Rubio-Velazquez, Elena
Lopez-Bernal, Maria Dolores
Garcia-Medina, Jose Javier
Villegas-Perez, Maria Paz
author_facet Palazon-Cabanes, Ana
Palazon-Cabanes, Begoña
Rubio-Velazquez, Elena
Lopez-Bernal, Maria Dolores
Garcia-Medina, Jose Javier
Villegas-Perez, Maria Paz
author_sort Palazon-Cabanes, Ana
collection PubMed
description Our aim was to provide, for the first time, reference thickness values for the SD-OCT posterior pole algorithm (PPA) available for Spectralis OCT device (Heidelberg Engineering, Heidelberg, Germany) and to analyze the correlations with age, gender and axial length. We recruited 300 eyes of 300 healthy Caucasian subjects between 18 and 84 years. By PPA, composed of 64 (8 × 8) cells, we analyzed the thickness of the following macular layers: retinal nerve fiber layer (RNFL), ganglion cell layer (GCL), inner plexiform layer (IPL), inner nuclear layer (INL), outer plexiform layer (OPL), outer nuclear layer (ONL), retinal pigment epithelium (RPE), inner retina, outer retina and full retina. Mean ± SD, 1st, 5th, 95th percentiles were obtained for each cell at all macular layers. Significant negative correlations were found between age and thickness for most macular layers. The mean thickness of most macular layers was thicker for men than women, except for RNFL, OPL and RPE, with no gender differences. GCL, IPL and INL thicknesses positively correlated with axial length in central cells, and negatively in the cells near the optic disk. The mean RNFL thickness was positively associated with axial length. This is the first normative database for PPA. Age, gender and axial length should be taken into account when interpreting PPA results.
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spelling pubmed-76028272020-11-01 Normative Database for All Retinal Layer Thicknesses Using SD-OCT Posterior Pole Algorithm and the Effects of Age, Gender and Axial Lenght Palazon-Cabanes, Ana Palazon-Cabanes, Begoña Rubio-Velazquez, Elena Lopez-Bernal, Maria Dolores Garcia-Medina, Jose Javier Villegas-Perez, Maria Paz J Clin Med Article Our aim was to provide, for the first time, reference thickness values for the SD-OCT posterior pole algorithm (PPA) available for Spectralis OCT device (Heidelberg Engineering, Heidelberg, Germany) and to analyze the correlations with age, gender and axial length. We recruited 300 eyes of 300 healthy Caucasian subjects between 18 and 84 years. By PPA, composed of 64 (8 × 8) cells, we analyzed the thickness of the following macular layers: retinal nerve fiber layer (RNFL), ganglion cell layer (GCL), inner plexiform layer (IPL), inner nuclear layer (INL), outer plexiform layer (OPL), outer nuclear layer (ONL), retinal pigment epithelium (RPE), inner retina, outer retina and full retina. Mean ± SD, 1st, 5th, 95th percentiles were obtained for each cell at all macular layers. Significant negative correlations were found between age and thickness for most macular layers. The mean thickness of most macular layers was thicker for men than women, except for RNFL, OPL and RPE, with no gender differences. GCL, IPL and INL thicknesses positively correlated with axial length in central cells, and negatively in the cells near the optic disk. The mean RNFL thickness was positively associated with axial length. This is the first normative database for PPA. Age, gender and axial length should be taken into account when interpreting PPA results. MDPI 2020-10-15 /pmc/articles/PMC7602827/ /pubmed/33076558 http://dx.doi.org/10.3390/jcm9103317 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Palazon-Cabanes, Ana
Palazon-Cabanes, Begoña
Rubio-Velazquez, Elena
Lopez-Bernal, Maria Dolores
Garcia-Medina, Jose Javier
Villegas-Perez, Maria Paz
Normative Database for All Retinal Layer Thicknesses Using SD-OCT Posterior Pole Algorithm and the Effects of Age, Gender and Axial Lenght
title Normative Database for All Retinal Layer Thicknesses Using SD-OCT Posterior Pole Algorithm and the Effects of Age, Gender and Axial Lenght
title_full Normative Database for All Retinal Layer Thicknesses Using SD-OCT Posterior Pole Algorithm and the Effects of Age, Gender and Axial Lenght
title_fullStr Normative Database for All Retinal Layer Thicknesses Using SD-OCT Posterior Pole Algorithm and the Effects of Age, Gender and Axial Lenght
title_full_unstemmed Normative Database for All Retinal Layer Thicknesses Using SD-OCT Posterior Pole Algorithm and the Effects of Age, Gender and Axial Lenght
title_short Normative Database for All Retinal Layer Thicknesses Using SD-OCT Posterior Pole Algorithm and the Effects of Age, Gender and Axial Lenght
title_sort normative database for all retinal layer thicknesses using sd-oct posterior pole algorithm and the effects of age, gender and axial lenght
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7602827/
https://www.ncbi.nlm.nih.gov/pubmed/33076558
http://dx.doi.org/10.3390/jcm9103317
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