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Linking neural and clinical measures of glaucoma with diffusion magnetic resonance imaging (dMRI)

PURPOSE: To link optic nerve (ON) structural properties to clinical markers of glaucoma using advanced, semi-automated diffusion magnetic resonance imaging (dMRI) tractography in human glaucoma patients. METHODS: We characterized optic neuropathy in patients with unilateral advanced-stage glaucoma (...

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Autores principales: Miller, Nathaniel, Liu, Yao, Krivochenitser, Roman, Rokers, Bas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6544345/
https://www.ncbi.nlm.nih.gov/pubmed/31150402
http://dx.doi.org/10.1371/journal.pone.0217011
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author Miller, Nathaniel
Liu, Yao
Krivochenitser, Roman
Rokers, Bas
author_facet Miller, Nathaniel
Liu, Yao
Krivochenitser, Roman
Rokers, Bas
author_sort Miller, Nathaniel
collection PubMed
description PURPOSE: To link optic nerve (ON) structural properties to clinical markers of glaucoma using advanced, semi-automated diffusion magnetic resonance imaging (dMRI) tractography in human glaucoma patients. METHODS: We characterized optic neuropathy in patients with unilateral advanced-stage glaucoma (n = 6) using probabilistic dMRI tractography and compared their results to those in healthy controls (n = 6). RESULTS: We successfully identified the ONs of glaucoma patients based on dMRI in all patients and confirmed that dMRI measures of the ONs correlated with clinical markers of glaucoma severity. Specifically, we found reduced fractional anisotropy (FA) in the ONs of eyes with advanced, as compared to mild, glaucoma (F(1,10) = 55.474, p < 0.0001, FDR < 0.0005). Furthermore, by comparing the ratios of ON FA in glaucoma patients to those of healthy controls (n = 6), we determined that this difference was beyond that expected from normal anatomical variation (F(1,9) = 20.276, p < 0. 005). Finally, we linked the dMRI measures of ON FA to standard clinical glaucoma measures. ON vertical cup-to-disc ratio (vCD) predicted ON FA (F(1,10) = 11.061, p < 0.01, R(2) = 0.66), retinal nerve fiber layer thickness (RNFL) predicted ON FA (F(1,10) = 11.477, p < 0.01, R(2) = 0.63) and ON FA predicted perceptual deficits (visual field index [VFI]) (F(1,10) = 15.308, p < 0.005, R(2) = 0.52). CONCLUSION: We describe semi-automated methods to detect glaucoma-related structural changes using dMRI and confirm that they correlate with clinical measures of glaucoma.
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spelling pubmed-65443452019-06-17 Linking neural and clinical measures of glaucoma with diffusion magnetic resonance imaging (dMRI) Miller, Nathaniel Liu, Yao Krivochenitser, Roman Rokers, Bas PLoS One Research Article PURPOSE: To link optic nerve (ON) structural properties to clinical markers of glaucoma using advanced, semi-automated diffusion magnetic resonance imaging (dMRI) tractography in human glaucoma patients. METHODS: We characterized optic neuropathy in patients with unilateral advanced-stage glaucoma (n = 6) using probabilistic dMRI tractography and compared their results to those in healthy controls (n = 6). RESULTS: We successfully identified the ONs of glaucoma patients based on dMRI in all patients and confirmed that dMRI measures of the ONs correlated with clinical markers of glaucoma severity. Specifically, we found reduced fractional anisotropy (FA) in the ONs of eyes with advanced, as compared to mild, glaucoma (F(1,10) = 55.474, p < 0.0001, FDR < 0.0005). Furthermore, by comparing the ratios of ON FA in glaucoma patients to those of healthy controls (n = 6), we determined that this difference was beyond that expected from normal anatomical variation (F(1,9) = 20.276, p < 0. 005). Finally, we linked the dMRI measures of ON FA to standard clinical glaucoma measures. ON vertical cup-to-disc ratio (vCD) predicted ON FA (F(1,10) = 11.061, p < 0.01, R(2) = 0.66), retinal nerve fiber layer thickness (RNFL) predicted ON FA (F(1,10) = 11.477, p < 0.01, R(2) = 0.63) and ON FA predicted perceptual deficits (visual field index [VFI]) (F(1,10) = 15.308, p < 0.005, R(2) = 0.52). CONCLUSION: We describe semi-automated methods to detect glaucoma-related structural changes using dMRI and confirm that they correlate with clinical measures of glaucoma. Public Library of Science 2019-05-31 /pmc/articles/PMC6544345/ /pubmed/31150402 http://dx.doi.org/10.1371/journal.pone.0217011 Text en © 2019 Miller 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
Miller, Nathaniel
Liu, Yao
Krivochenitser, Roman
Rokers, Bas
Linking neural and clinical measures of glaucoma with diffusion magnetic resonance imaging (dMRI)
title Linking neural and clinical measures of glaucoma with diffusion magnetic resonance imaging (dMRI)
title_full Linking neural and clinical measures of glaucoma with diffusion magnetic resonance imaging (dMRI)
title_fullStr Linking neural and clinical measures of glaucoma with diffusion magnetic resonance imaging (dMRI)
title_full_unstemmed Linking neural and clinical measures of glaucoma with diffusion magnetic resonance imaging (dMRI)
title_short Linking neural and clinical measures of glaucoma with diffusion magnetic resonance imaging (dMRI)
title_sort linking neural and clinical measures of glaucoma with diffusion magnetic resonance imaging (dmri)
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6544345/
https://www.ncbi.nlm.nih.gov/pubmed/31150402
http://dx.doi.org/10.1371/journal.pone.0217011
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