A Diagnostic Calculator for Detecting Glaucoma on the Basis of Retinal Nerve Fiber Layer, Optic Disc, and Retinal Ganglion Cell Analysis by Optical Coherence Tomography

Purpose: The purpose of this study was to develop and validate a multivariate predictive model to detect glaucoma by using a combination of retinal nerve fiber layer (RNFL), retinal ganglion cell-inner plexiform (GCIPL), and optic disc parameters measured using spectral-domain optical coherence tomo...

Descripción completa

Detalles Bibliográficos
Autores: Larrosa Povés, José Manuel, Moreno Montañes, Javier, Martínez De La Casa Fernández-Borrella, José María, Polo Llorens, Vicente, Velázquez Villoria, Álvaro, Berrozpe Villabona, Clara, García Granero, Marta
Tipo de recurso: artículo
Fecha de publicación:2015
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/23043
Acceso en línea:https://hdl.handle.net/20.500.14352/23043
Access Level:acceso abierto
Palabra clave:617.7-007.681
617.7-073.75
617.73
Glaucoma diagnosis
OCT
Optic disc
Retinal ganglion cell
Retinal nerve fiber layer
Oftalmología
Técnicas de la imagen
3201.09 Oftalmología
id ES_a9a75027d6416e237e237d94de3259d6
oai_identifier_str oai:docta.ucm.es:20.500.14352/23043
network_acronym_str ES
network_name_str España
repository_id_str
spelling A Diagnostic Calculator for Detecting Glaucoma on the Basis of Retinal Nerve Fiber Layer, Optic Disc, and Retinal Ganglion Cell Analysis by Optical Coherence TomographyLarrosa Povés, José ManuelMoreno Montañes, JavierMartínez De La Casa Fernández-Borrella, José MaríaPolo Llorens, VicenteVelázquez Villoria, ÁlvaroBerrozpe Villabona, ClaraGarcía Granero, Marta617.7-007.681617.7-073.75617.73Glaucoma diagnosisOCTOptic discRetinal ganglion cellRetinal nerve fiber layerOftalmologíaTécnicas de la imagen3201.09 OftalmologíaPurpose: The purpose of this study was to develop and validate a multivariate predictive model to detect glaucoma by using a combination of retinal nerve fiber layer (RNFL), retinal ganglion cell-inner plexiform (GCIPL), and optic disc parameters measured using spectral-domain optical coherence tomography (OCT). Methods: Five hundred eyes from 500 participants and 187 eyes of another 187 participants were included in the study and validation groups, respectively. Patients with glaucoma were classified in five groups based on visual field damage. Sensitivity and specificity of all glaucoma OCT parameters were analyzed. Receiver operating characteristic curves (ROC) and areas under the ROC (AUC) were compared. Three predictive multivariate models (quantitative, qualitative, and combined) that used a combination of the best OCT parameters were constructed. A diagnostic calculator was created using the combined multivariate model. Results: The best AUC parameters were: inferior RNFL, average RNFL, vertical cup/disc ratio, minimal GCIPL, and inferior-temporal GCIPL. Comparisons among the parameters did not show that the GCIPL parameters were better than those of the RNFL in early and advanced glaucoma. The highest AUC was in the combined predictive model (0.937; 95% confidence interval, 0.911–0.957) and was significantly (P = 0.0001) higher than the other isolated parameters considered in early and advanced glaucoma. The validation group displayed similar results to those of the study group. Conclusions: Best GCIPL, RNFL, and optic disc parameters showed a similar ability to detect glaucoma. The combined predictive formula improved the glaucoma detection compared to the best isolated parameters evaluated. The diagnostic calculator obtained good classification from participants in both the study and validation groups.The Association for Research in Vision and Ophthalmology, Inc.Universidad Complutense de Madrid20152015-10-0120152015-10-01journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/23043reponame: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:20.500.14352/230432026-06-02T12:44:21Z
dc.title.none.fl_str_mv A Diagnostic Calculator for Detecting Glaucoma on the Basis of Retinal Nerve Fiber Layer, Optic Disc, and Retinal Ganglion Cell Analysis by Optical Coherence Tomography
title A Diagnostic Calculator for Detecting Glaucoma on the Basis of Retinal Nerve Fiber Layer, Optic Disc, and Retinal Ganglion Cell Analysis by Optical Coherence Tomography
spellingShingle A Diagnostic Calculator for Detecting Glaucoma on the Basis of Retinal Nerve Fiber Layer, Optic Disc, and Retinal Ganglion Cell Analysis by Optical Coherence Tomography
Larrosa Povés, José Manuel
617.7-007.681
617.7-073.75
617.73
Glaucoma diagnosis
OCT
Optic disc
Retinal ganglion cell
Retinal nerve fiber layer
Oftalmología
Técnicas de la imagen
3201.09 Oftalmología
title_short A Diagnostic Calculator for Detecting Glaucoma on the Basis of Retinal Nerve Fiber Layer, Optic Disc, and Retinal Ganglion Cell Analysis by Optical Coherence Tomography
title_full A Diagnostic Calculator for Detecting Glaucoma on the Basis of Retinal Nerve Fiber Layer, Optic Disc, and Retinal Ganglion Cell Analysis by Optical Coherence Tomography
title_fullStr A Diagnostic Calculator for Detecting Glaucoma on the Basis of Retinal Nerve Fiber Layer, Optic Disc, and Retinal Ganglion Cell Analysis by Optical Coherence Tomography
title_full_unstemmed A Diagnostic Calculator for Detecting Glaucoma on the Basis of Retinal Nerve Fiber Layer, Optic Disc, and Retinal Ganglion Cell Analysis by Optical Coherence Tomography
title_sort A Diagnostic Calculator for Detecting Glaucoma on the Basis of Retinal Nerve Fiber Layer, Optic Disc, and Retinal Ganglion Cell Analysis by Optical Coherence Tomography
dc.creator.none.fl_str_mv Larrosa Povés, José Manuel
Moreno Montañes, Javier
Martínez De La Casa Fernández-Borrella, José María
Polo Llorens, Vicente
Velázquez Villoria, Álvaro
Berrozpe Villabona, Clara
García Granero, Marta
author Larrosa Povés, José Manuel
author_facet Larrosa Povés, José Manuel
Moreno Montañes, Javier
Martínez De La Casa Fernández-Borrella, José María
Polo Llorens, Vicente
Velázquez Villoria, Álvaro
Berrozpe Villabona, Clara
García Granero, Marta
author_role author
author2 Moreno Montañes, Javier
Martínez De La Casa Fernández-Borrella, José María
Polo Llorens, Vicente
Velázquez Villoria, Álvaro
Berrozpe Villabona, Clara
García Granero, Marta
author2_role 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
617.7-073.75
617.73
Glaucoma diagnosis
OCT
Optic disc
Retinal ganglion cell
Retinal nerve fiber layer
Oftalmología
Técnicas de la imagen
3201.09 Oftalmología
topic 617.7-007.681
617.7-073.75
617.73
Glaucoma diagnosis
OCT
Optic disc
Retinal ganglion cell
Retinal nerve fiber layer
Oftalmología
Técnicas de la imagen
3201.09 Oftalmología
description Purpose: The purpose of this study was to develop and validate a multivariate predictive model to detect glaucoma by using a combination of retinal nerve fiber layer (RNFL), retinal ganglion cell-inner plexiform (GCIPL), and optic disc parameters measured using spectral-domain optical coherence tomography (OCT). Methods: Five hundred eyes from 500 participants and 187 eyes of another 187 participants were included in the study and validation groups, respectively. Patients with glaucoma were classified in five groups based on visual field damage. Sensitivity and specificity of all glaucoma OCT parameters were analyzed. Receiver operating characteristic curves (ROC) and areas under the ROC (AUC) were compared. Three predictive multivariate models (quantitative, qualitative, and combined) that used a combination of the best OCT parameters were constructed. A diagnostic calculator was created using the combined multivariate model. Results: The best AUC parameters were: inferior RNFL, average RNFL, vertical cup/disc ratio, minimal GCIPL, and inferior-temporal GCIPL. Comparisons among the parameters did not show that the GCIPL parameters were better than those of the RNFL in early and advanced glaucoma. The highest AUC was in the combined predictive model (0.937; 95% confidence interval, 0.911–0.957) and was significantly (P = 0.0001) higher than the other isolated parameters considered in early and advanced glaucoma. The validation group displayed similar results to those of the study group. Conclusions: Best GCIPL, RNFL, and optic disc parameters showed a similar ability to detect glaucoma. The combined predictive formula improved the glaucoma detection compared to the best isolated parameters evaluated. The diagnostic calculator obtained good classification from participants in both the study and validation groups.
publishDate 2015
dc.date.none.fl_str_mv 2015
2015-10-01
2015
2015-10-01
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/20.500.14352/23043
url https://hdl.handle.net/20.500.14352/23043
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 The Association for Research in Vision and Ophthalmology, Inc.
publisher.none.fl_str_mv The Association for Research in Vision and Ophthalmology, Inc.
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
_version_ 1869416039930920960
score 15.300724

Similares en LA Referencia