New Normative Database of Inner Macular Layer Thickness Measured by Spectralis OCT Used as Reference Standard for Glaucoma Detection

Purpose: This study examines the capacity to detect glaucoma of inner macular layer thickness measured by spectral-domain optical coherence tomography (SD-OCT) using a new normative database as the reference standard. Methods: Participants (N = 148) were recruited from Leuven (Belgium) and Zaragoza...

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Autores: Nieves Moreno, María, Martínez De La Casa Fernández-Borrella, José María, Bambó Rubio, Maria Pilar, Morales Fernández, Laura, Van Keer, Karel, Vandewalle, Evelien, Stalmans, Ingeborg, García Feijoo, Julián
Tipo de recurso: artículo
Fecha de publicación:2018
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/12018
Acceso en línea:https://hdl.handle.net/20.500.14352/12018
Access Level:acceso abierto
Palabra clave:617.7-007.681
617.736-073.75
Macular layer thickness
Spectralis OCT
OCT
Tomography
Glaucoma
glaucoma detection
Inner macular layer thickness
Diagnóstico por imagen y medicina nuclear
Oftalmología
3204.01 Medicina Nuclear
3201.09 Oftalmología
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oai_identifier_str oai:docta.ucm.es:20.500.14352/12018
network_acronym_str ES
network_name_str España
repository_id_str
spelling New Normative Database of Inner Macular Layer Thickness Measured by Spectralis OCT Used as Reference Standard for Glaucoma DetectionNieves Moreno, MaríaMartínez De La Casa Fernández-Borrella, José MaríaBambó Rubio, Maria PilarMorales Fernández, LauraVan Keer, KarelVandewalle, EvelienStalmans, IngeborgGarcía Feijoo, Julián617.7-007.681617.736-073.75Macular layer thicknessSpectralis OCTOCTTomographyGlaucomaglaucoma detectionInner macular layer thicknessDiagnóstico por imagen y medicina nuclearOftalmología3204.01 Medicina Nuclear3201.09 OftalmologíaPurpose: This study examines the capacity to detect glaucoma of inner macular layer thickness measured by spectral-domain optical coherence tomography (SD-OCT) using a new normative database as the reference standard. Methods: Participants (N = 148) were recruited from Leuven (Belgium) and Zaragoza (Spain): 74 patients with early/moderate glaucoma and 74 age-matched healthy controls. One eye was randomly selected for a macular scan using the Spectralis SD-OCT. The variables measured with the instrument's segmentation software were: macular nerve fiber layer (mRNFL), ganglion cell layer (GCL), and inner plexiform layer (IPL) volume and thickness along with circumpapillary RNFL thickness (cpRNFL). The new normative database of macular variables was used to define the cutoff of normality as the fifth percentile by age group. Sensitivity, specificity, and area under the receiver operating characteristic curve (AUROC) of each macular measurement and of cpRNFL were used to distinguish between patients and controls. Results: Overall sensitivity and specificity to detect early-moderate glaucoma were 42.2% and 88.9% for mRNFL, 42.4% and 95.6% for GCL, 42.2% and 94.5% for IPL, and 53% and 94.6% for RNFL, respectively. The best macular variable to discriminate between the two groups of subjects was outer temporal GCL thickness as indicated by an AUROC of 0.903. This variable performed similarly to mean cpRNFL thickness (AUROC = 0.845; P = 0.29). Conclusions: Using our normative database as reference, the diagnostic power of inner macular layer thickness proved comparable to that of peripapillary RNFL thickness. Translational Relevance: Spectralis SD-OCT, cpRNFL thickness, and individual macular inner layer thicknesses show comparable diagnostic capacity for glaucoma and RNFL, GCL, and IPL thickness may be useful as an alternative diagnostic test when the measure of cpRNFL shows artifacts.ARVOUniversidad Complutense de Madrid20182018-02-0120182018-02-01journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/12018reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Atribución-NoComercial-SinDerivadas 3.0 Españahttps://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/120182026-06-02T12:44:21Z
dc.title.none.fl_str_mv New Normative Database of Inner Macular Layer Thickness Measured by Spectralis OCT Used as Reference Standard for Glaucoma Detection
title New Normative Database of Inner Macular Layer Thickness Measured by Spectralis OCT Used as Reference Standard for Glaucoma Detection
spellingShingle New Normative Database of Inner Macular Layer Thickness Measured by Spectralis OCT Used as Reference Standard for Glaucoma Detection
Nieves Moreno, María
617.7-007.681
617.736-073.75
Macular layer thickness
Spectralis OCT
OCT
Tomography
Glaucoma
glaucoma detection
Inner macular layer thickness
Diagnóstico por imagen y medicina nuclear
Oftalmología
3204.01 Medicina Nuclear
3201.09 Oftalmología
title_short New Normative Database of Inner Macular Layer Thickness Measured by Spectralis OCT Used as Reference Standard for Glaucoma Detection
title_full New Normative Database of Inner Macular Layer Thickness Measured by Spectralis OCT Used as Reference Standard for Glaucoma Detection
title_fullStr New Normative Database of Inner Macular Layer Thickness Measured by Spectralis OCT Used as Reference Standard for Glaucoma Detection
title_full_unstemmed New Normative Database of Inner Macular Layer Thickness Measured by Spectralis OCT Used as Reference Standard for Glaucoma Detection
title_sort New Normative Database of Inner Macular Layer Thickness Measured by Spectralis OCT Used as Reference Standard for Glaucoma Detection
dc.creator.none.fl_str_mv Nieves Moreno, María
Martínez De La Casa Fernández-Borrella, José María
Bambó Rubio, Maria Pilar
Morales Fernández, Laura
Van Keer, Karel
Vandewalle, Evelien
Stalmans, Ingeborg
García Feijoo, Julián
author Nieves Moreno, María
author_facet Nieves Moreno, María
Martínez De La Casa Fernández-Borrella, José María
Bambó Rubio, Maria Pilar
Morales Fernández, Laura
Van Keer, Karel
Vandewalle, Evelien
Stalmans, Ingeborg
García Feijoo, Julián
author_role author
author2 Martínez De La Casa Fernández-Borrella, José María
Bambó Rubio, Maria Pilar
Morales Fernández, Laura
Van Keer, Karel
Vandewalle, Evelien
Stalmans, Ingeborg
García Feijoo, Julián
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv 617.7-007.681
617.736-073.75
Macular layer thickness
Spectralis OCT
OCT
Tomography
Glaucoma
glaucoma detection
Inner macular layer thickness
Diagnóstico por imagen y medicina nuclear
Oftalmología
3204.01 Medicina Nuclear
3201.09 Oftalmología
topic 617.7-007.681
617.736-073.75
Macular layer thickness
Spectralis OCT
OCT
Tomography
Glaucoma
glaucoma detection
Inner macular layer thickness
Diagnóstico por imagen y medicina nuclear
Oftalmología
3204.01 Medicina Nuclear
3201.09 Oftalmología
description Purpose: This study examines the capacity to detect glaucoma of inner macular layer thickness measured by spectral-domain optical coherence tomography (SD-OCT) using a new normative database as the reference standard. Methods: Participants (N = 148) were recruited from Leuven (Belgium) and Zaragoza (Spain): 74 patients with early/moderate glaucoma and 74 age-matched healthy controls. One eye was randomly selected for a macular scan using the Spectralis SD-OCT. The variables measured with the instrument's segmentation software were: macular nerve fiber layer (mRNFL), ganglion cell layer (GCL), and inner plexiform layer (IPL) volume and thickness along with circumpapillary RNFL thickness (cpRNFL). The new normative database of macular variables was used to define the cutoff of normality as the fifth percentile by age group. Sensitivity, specificity, and area under the receiver operating characteristic curve (AUROC) of each macular measurement and of cpRNFL were used to distinguish between patients and controls. Results: Overall sensitivity and specificity to detect early-moderate glaucoma were 42.2% and 88.9% for mRNFL, 42.4% and 95.6% for GCL, 42.2% and 94.5% for IPL, and 53% and 94.6% for RNFL, respectively. The best macular variable to discriminate between the two groups of subjects was outer temporal GCL thickness as indicated by an AUROC of 0.903. This variable performed similarly to mean cpRNFL thickness (AUROC = 0.845; P = 0.29). Conclusions: Using our normative database as reference, the diagnostic power of inner macular layer thickness proved comparable to that of peripapillary RNFL thickness. Translational Relevance: Spectralis SD-OCT, cpRNFL thickness, and individual macular inner layer thicknesses show comparable diagnostic capacity for glaucoma and RNFL, GCL, and IPL thickness may be useful as an alternative diagnostic test when the measure of cpRNFL shows artifacts.
publishDate 2018
dc.date.none.fl_str_mv 2018
2018-02-01
2018
2018-02-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/12018
url https://hdl.handle.net/20.500.14352/12018
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Atribución-NoComercial-SinDerivadas 3.0 España
https://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Atribución-NoComercial-SinDerivadas 3.0 España
https://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv ARVO
publisher.none.fl_str_mv ARVO
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,198674

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