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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 (...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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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. |
format | Online Article Text |
id | pubmed-6544345 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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