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Analysis of inner and outer retinal layers using spectral domain optical coherence tomography automated segmentation software in ocular hypertensive and glaucoma patients

OBJECTIVE: To analyse the morphological features and diagnostic ability of eight macular retinal layers using a new segmentation software Heidelberg's Spectralis Optical Coherence Tomography (SD-OCT) in healthy, ocular hypertensive and primary open angle glaucoma patients. METHODS: Single-cente...

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Autores principales: Cifuentes-Canorea, Pilar, Ruiz-Medrano, Jorge, Gutierrez-Bonet, Rosa, Peña-Garcia, Pablo, Saenz-Frances, Federico, Garcia-Feijoo, Julian, Martinez-de-la-Casa, Jose Maria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5908140/
https://www.ncbi.nlm.nih.gov/pubmed/29672563
http://dx.doi.org/10.1371/journal.pone.0196112
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author Cifuentes-Canorea, Pilar
Ruiz-Medrano, Jorge
Gutierrez-Bonet, Rosa
Peña-Garcia, Pablo
Saenz-Frances, Federico
Garcia-Feijoo, Julian
Martinez-de-la-Casa, Jose Maria
author_facet Cifuentes-Canorea, Pilar
Ruiz-Medrano, Jorge
Gutierrez-Bonet, Rosa
Peña-Garcia, Pablo
Saenz-Frances, Federico
Garcia-Feijoo, Julian
Martinez-de-la-Casa, Jose Maria
author_sort Cifuentes-Canorea, Pilar
collection PubMed
description OBJECTIVE: To analyse the morphological features and diagnostic ability of eight macular retinal layers using a new segmentation software Heidelberg's Spectralis Optical Coherence Tomography (SD-OCT) in healthy, ocular hypertensive and primary open angle glaucoma patients. METHODS: Single-center, cross-sectional, non-interventional study. 193 eyes from 193 consecutive patients (56 controls, 63 ocular hypertensives, 32 early primary open glaucoma patients and 42 moderate-advanced primary open glaucoma patients). Those patients presenting any retinal disease were excluded. Macular segmentation of the retinal layers was automatically performed using the new segmentation Heidelberg's Spectralis OCT software providing measurements for eight retinal layers. The software provides thickness maps divided into nine subfields. RESULTS: Statistically significant differences in inner layers’ thickness was found between all 4 four groups. Superior and inferior sectors of macular retinal nerve fiber layer; nasal, temporal, superior and inferior sectors of ganglion cell layer and inner plexiform layer were significantly different when comparing ocular hypertensive patients and early glaucoma patients. Areas under the ROC curves for early glaucoma diagnosis were 0.781±0.052 for macular retinal nerve fiber layer outer inferior sector, 0.760±0.050 for ganglion cell layer outer temporal sector, 0.767±0.049 for the inner plexiform layer outer temporal sector and 0.807±0.048 for the combination of all three. No differences were found between groups when considering outer retinal layers. CONCLUSIONS: The automated segmentation software from Heidelberg's Spectralis OCT provides a new diagnostic tool for the diagnosis of ocular hypertensive and glaucoma patients.
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spelling pubmed-59081402018-05-06 Analysis of inner and outer retinal layers using spectral domain optical coherence tomography automated segmentation software in ocular hypertensive and glaucoma patients Cifuentes-Canorea, Pilar Ruiz-Medrano, Jorge Gutierrez-Bonet, Rosa Peña-Garcia, Pablo Saenz-Frances, Federico Garcia-Feijoo, Julian Martinez-de-la-Casa, Jose Maria PLoS One Research Article OBJECTIVE: To analyse the morphological features and diagnostic ability of eight macular retinal layers using a new segmentation software Heidelberg's Spectralis Optical Coherence Tomography (SD-OCT) in healthy, ocular hypertensive and primary open angle glaucoma patients. METHODS: Single-center, cross-sectional, non-interventional study. 193 eyes from 193 consecutive patients (56 controls, 63 ocular hypertensives, 32 early primary open glaucoma patients and 42 moderate-advanced primary open glaucoma patients). Those patients presenting any retinal disease were excluded. Macular segmentation of the retinal layers was automatically performed using the new segmentation Heidelberg's Spectralis OCT software providing measurements for eight retinal layers. The software provides thickness maps divided into nine subfields. RESULTS: Statistically significant differences in inner layers’ thickness was found between all 4 four groups. Superior and inferior sectors of macular retinal nerve fiber layer; nasal, temporal, superior and inferior sectors of ganglion cell layer and inner plexiform layer were significantly different when comparing ocular hypertensive patients and early glaucoma patients. Areas under the ROC curves for early glaucoma diagnosis were 0.781±0.052 for macular retinal nerve fiber layer outer inferior sector, 0.760±0.050 for ganglion cell layer outer temporal sector, 0.767±0.049 for the inner plexiform layer outer temporal sector and 0.807±0.048 for the combination of all three. No differences were found between groups when considering outer retinal layers. CONCLUSIONS: The automated segmentation software from Heidelberg's Spectralis OCT provides a new diagnostic tool for the diagnosis of ocular hypertensive and glaucoma patients. Public Library of Science 2018-04-19 /pmc/articles/PMC5908140/ /pubmed/29672563 http://dx.doi.org/10.1371/journal.pone.0196112 Text en © 2018 Cifuentes-Canorea et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Cifuentes-Canorea, Pilar
Ruiz-Medrano, Jorge
Gutierrez-Bonet, Rosa
Peña-Garcia, Pablo
Saenz-Frances, Federico
Garcia-Feijoo, Julian
Martinez-de-la-Casa, Jose Maria
Analysis of inner and outer retinal layers using spectral domain optical coherence tomography automated segmentation software in ocular hypertensive and glaucoma patients
title Analysis of inner and outer retinal layers using spectral domain optical coherence tomography automated segmentation software in ocular hypertensive and glaucoma patients
title_full Analysis of inner and outer retinal layers using spectral domain optical coherence tomography automated segmentation software in ocular hypertensive and glaucoma patients
title_fullStr Analysis of inner and outer retinal layers using spectral domain optical coherence tomography automated segmentation software in ocular hypertensive and glaucoma patients
title_full_unstemmed Analysis of inner and outer retinal layers using spectral domain optical coherence tomography automated segmentation software in ocular hypertensive and glaucoma patients
title_short Analysis of inner and outer retinal layers using spectral domain optical coherence tomography automated segmentation software in ocular hypertensive and glaucoma patients
title_sort analysis of inner and outer retinal layers using spectral domain optical coherence tomography automated segmentation software in ocular hypertensive and glaucoma patients
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5908140/
https://www.ncbi.nlm.nih.gov/pubmed/29672563
http://dx.doi.org/10.1371/journal.pone.0196112
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