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Combining Structural and Vascular Parameters to Discriminate Among Glaucoma Patients, Glaucoma Suspects, and Healthy Subjects
PURPOSE: Compare the ability of peripapillary and macular structural parameters, vascular parameters, and their integration to discriminate among glaucoma, suspected glaucoma (GS), and healthy controls (HCs). METHODS: In this study, 196 eyes of 119 patients with glaucoma (n = 81), patients with GS (...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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The Association for Research in Vision and Ophthalmology
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8709930/ https://www.ncbi.nlm.nih.gov/pubmed/34928324 http://dx.doi.org/10.1167/tvst.10.14.20 |
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author | Rabiolo, Alessandro Fantaguzzi, Federico Sacconi, Riccardo Gelormini, Francesco Borrelli, Enrico Triolo, Giacinto Bettin, Paolo McNaught, Andrew I. Caprioli, Joseph Querques, Giuseppe Bandello, Francesco |
author_facet | Rabiolo, Alessandro Fantaguzzi, Federico Sacconi, Riccardo Gelormini, Francesco Borrelli, Enrico Triolo, Giacinto Bettin, Paolo McNaught, Andrew I. Caprioli, Joseph Querques, Giuseppe Bandello, Francesco |
author_sort | Rabiolo, Alessandro |
collection | PubMed |
description | PURPOSE: Compare the ability of peripapillary and macular structural parameters, vascular parameters, and their integration to discriminate among glaucoma, suspected glaucoma (GS), and healthy controls (HCs). METHODS: In this study, 196 eyes of 119 patients with glaucoma (n = 81), patients with GS (n = 48), and HCs (n = 67) underwent optical coherence tomography (OCT) and OCT angiography to measure peripapillary retinal nerve fiber layer (pRNFL), macular ganglion cell–inner plexiform layer (mGCIPL) thicknesses, radial peripapillary capillary perfusion density (RPC-PD), and macular GCIPL perfusion density (GCIPL-PD). Parameters were integrated regionally with logistic regression and globally with machine learning algorithms. Diagnostic performances were evaluated with area under the receiver operating characteristic (AUROC) curves. RESULTS: Patients with glaucoma had mild to moderate damage (median, −3.3 dB; interquartile range, −6.5 to −1.4). In discriminating between patients with glaucoma and the HCs, pRNFL thickness had higher AUROC curve values than RPC-PD for average (0.87 vs. 0.62; P < 0.001), superior (0.86 vs. 0.54; P < 0.001), inferior (0.90 vs. 0.71; P < 0.001), and temporal (0.65 vs. 0.51; P = 0.02) quadrants. mGCIPL thickness had higher AUROC curve values than GCIPL-PD for average (0.84 vs. 0.68; P < 0.001), superotemporal (0.76 vs. 0.65; P = 0.016), superior (0.72 vs. 0.57; P = 0.004), superonasal (0.70 vs. 0.56; P = 0.01), inferotemporal (0.90 vs. 0.72; P < 0.001), inferior (0.87 vs. 0.69; P < 0.001), and inferonasal (0.78 vs. 0.65, P = 0.012) sectors. All structural multisector indices had higher diagnostic ability than vascular ones (P < 0.001). Combined structural–vascular indices did not outperform structural indices. Similar results were found to discriminate glaucoma from GS. CONCLUSIONS: Combining structural and vascular parameters in a structural–vascular index does not improve diagnostic ability over structural parameters alone. TRANSLATIONAL RELEVANCE: OCT angiography does not add additional benefit to structural OCT in early to moderate glaucoma diagnosis. |
format | Online Article Text |
id | pubmed-8709930 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Association for Research in Vision and Ophthalmology |
record_format | MEDLINE/PubMed |
spelling | pubmed-87099302022-01-14 Combining Structural and Vascular Parameters to Discriminate Among Glaucoma Patients, Glaucoma Suspects, and Healthy Subjects Rabiolo, Alessandro Fantaguzzi, Federico Sacconi, Riccardo Gelormini, Francesco Borrelli, Enrico Triolo, Giacinto Bettin, Paolo McNaught, Andrew I. Caprioli, Joseph Querques, Giuseppe Bandello, Francesco Transl Vis Sci Technol Article PURPOSE: Compare the ability of peripapillary and macular structural parameters, vascular parameters, and their integration to discriminate among glaucoma, suspected glaucoma (GS), and healthy controls (HCs). METHODS: In this study, 196 eyes of 119 patients with glaucoma (n = 81), patients with GS (n = 48), and HCs (n = 67) underwent optical coherence tomography (OCT) and OCT angiography to measure peripapillary retinal nerve fiber layer (pRNFL), macular ganglion cell–inner plexiform layer (mGCIPL) thicknesses, radial peripapillary capillary perfusion density (RPC-PD), and macular GCIPL perfusion density (GCIPL-PD). Parameters were integrated regionally with logistic regression and globally with machine learning algorithms. Diagnostic performances were evaluated with area under the receiver operating characteristic (AUROC) curves. RESULTS: Patients with glaucoma had mild to moderate damage (median, −3.3 dB; interquartile range, −6.5 to −1.4). In discriminating between patients with glaucoma and the HCs, pRNFL thickness had higher AUROC curve values than RPC-PD for average (0.87 vs. 0.62; P < 0.001), superior (0.86 vs. 0.54; P < 0.001), inferior (0.90 vs. 0.71; P < 0.001), and temporal (0.65 vs. 0.51; P = 0.02) quadrants. mGCIPL thickness had higher AUROC curve values than GCIPL-PD for average (0.84 vs. 0.68; P < 0.001), superotemporal (0.76 vs. 0.65; P = 0.016), superior (0.72 vs. 0.57; P = 0.004), superonasal (0.70 vs. 0.56; P = 0.01), inferotemporal (0.90 vs. 0.72; P < 0.001), inferior (0.87 vs. 0.69; P < 0.001), and inferonasal (0.78 vs. 0.65, P = 0.012) sectors. All structural multisector indices had higher diagnostic ability than vascular ones (P < 0.001). Combined structural–vascular indices did not outperform structural indices. Similar results were found to discriminate glaucoma from GS. CONCLUSIONS: Combining structural and vascular parameters in a structural–vascular index does not improve diagnostic ability over structural parameters alone. TRANSLATIONAL RELEVANCE: OCT angiography does not add additional benefit to structural OCT in early to moderate glaucoma diagnosis. The Association for Research in Vision and Ophthalmology 2021-12-20 /pmc/articles/PMC8709930/ /pubmed/34928324 http://dx.doi.org/10.1167/tvst.10.14.20 Text en Copyright 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. |
spellingShingle | Article Rabiolo, Alessandro Fantaguzzi, Federico Sacconi, Riccardo Gelormini, Francesco Borrelli, Enrico Triolo, Giacinto Bettin, Paolo McNaught, Andrew I. Caprioli, Joseph Querques, Giuseppe Bandello, Francesco Combining Structural and Vascular Parameters to Discriminate Among Glaucoma Patients, Glaucoma Suspects, and Healthy Subjects |
title | Combining Structural and Vascular Parameters to Discriminate Among Glaucoma Patients, Glaucoma Suspects, and Healthy Subjects |
title_full | Combining Structural and Vascular Parameters to Discriminate Among Glaucoma Patients, Glaucoma Suspects, and Healthy Subjects |
title_fullStr | Combining Structural and Vascular Parameters to Discriminate Among Glaucoma Patients, Glaucoma Suspects, and Healthy Subjects |
title_full_unstemmed | Combining Structural and Vascular Parameters to Discriminate Among Glaucoma Patients, Glaucoma Suspects, and Healthy Subjects |
title_short | Combining Structural and Vascular Parameters to Discriminate Among Glaucoma Patients, Glaucoma Suspects, and Healthy Subjects |
title_sort | combining structural and vascular parameters to discriminate among glaucoma patients, glaucoma suspects, and healthy subjects |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8709930/ https://www.ncbi.nlm.nih.gov/pubmed/34928324 http://dx.doi.org/10.1167/tvst.10.14.20 |
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