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Retinal sublayer defect is independently associated with the severity of hypertensive white matter hyperintensity

PURPOSE: To investigate the association of specific retinal sublayer thicknesses on optical coherence tomography (OCT) imaging with brain magnetic resonance imaging (MRI) markers using the Fazekas scale in hypertensive white matter hyperintensity (WMH) subjects. METHODS: Eighty‐eight participants (3...

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Autores principales: Qu, Man, Kwapong, William Robert, Peng, Chenlei, Cao, Yungang, Lu, Fan, Shen, Meixiao, Han, Zhao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7010590/
https://www.ncbi.nlm.nih.gov/pubmed/31875660
http://dx.doi.org/10.1002/brb3.1521
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author Qu, Man
Kwapong, William Robert
Peng, Chenlei
Cao, Yungang
Lu, Fan
Shen, Meixiao
Han, Zhao
author_facet Qu, Man
Kwapong, William Robert
Peng, Chenlei
Cao, Yungang
Lu, Fan
Shen, Meixiao
Han, Zhao
author_sort Qu, Man
collection PubMed
description PURPOSE: To investigate the association of specific retinal sublayer thicknesses on optical coherence tomography (OCT) imaging with brain magnetic resonance imaging (MRI) markers using the Fazekas scale in hypertensive white matter hyperintensity (WMH) subjects. METHODS: Eighty‐eight participants (32 healthy controls and 56 hypertensive white matter hyperintensity subjects) underwent retinal imaging using the OCT and MRI. A custom‐built algorithm was used to measure the thicknesses of the retinal nerve fiber layer (RNFL) and ganglion cell layer and inner plexiform layer (GCIP). Focal markers for white matter hyperintensities were assessed on MRI and graded using the Fazekas visual rating. RESULTS: Hypertensive WMH showed significantly reduced (p < .05) RNFL and GCIP layers when compared to healthy controls, respectively. A significant correlation was found between the RNFL (ρ = −.246, p < .001) and GCIP (ρ = −.338, p < .001) of the total participants and the Fazekas score, respectively. Statistical differences were still significant (p < .05) when correlations were adjusted for intereye correlation, age, hypertension, smoking, body mass index, and diabetes. Among the cases of hypertensive WMH, higher Fazekas scores were significantly associated (p < .05) with the thinning of both the RNFL and GCIP layers after adjustment of age and other risk factors. CONCLUSIONS: Retinal degeneration in the RNFL and GCIP was independently associated with focal lesions in the white matter of the brain and deteriorates with the severity of the lesions. We suggest that imaging and measurement of the retinal sublayers using the OCT may provide evidence on neurodegeneration in WMH.
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spelling pubmed-70105902020-02-13 Retinal sublayer defect is independently associated with the severity of hypertensive white matter hyperintensity Qu, Man Kwapong, William Robert Peng, Chenlei Cao, Yungang Lu, Fan Shen, Meixiao Han, Zhao Brain Behav Original Research PURPOSE: To investigate the association of specific retinal sublayer thicknesses on optical coherence tomography (OCT) imaging with brain magnetic resonance imaging (MRI) markers using the Fazekas scale in hypertensive white matter hyperintensity (WMH) subjects. METHODS: Eighty‐eight participants (32 healthy controls and 56 hypertensive white matter hyperintensity subjects) underwent retinal imaging using the OCT and MRI. A custom‐built algorithm was used to measure the thicknesses of the retinal nerve fiber layer (RNFL) and ganglion cell layer and inner plexiform layer (GCIP). Focal markers for white matter hyperintensities were assessed on MRI and graded using the Fazekas visual rating. RESULTS: Hypertensive WMH showed significantly reduced (p < .05) RNFL and GCIP layers when compared to healthy controls, respectively. A significant correlation was found between the RNFL (ρ = −.246, p < .001) and GCIP (ρ = −.338, p < .001) of the total participants and the Fazekas score, respectively. Statistical differences were still significant (p < .05) when correlations were adjusted for intereye correlation, age, hypertension, smoking, body mass index, and diabetes. Among the cases of hypertensive WMH, higher Fazekas scores were significantly associated (p < .05) with the thinning of both the RNFL and GCIP layers after adjustment of age and other risk factors. CONCLUSIONS: Retinal degeneration in the RNFL and GCIP was independently associated with focal lesions in the white matter of the brain and deteriorates with the severity of the lesions. We suggest that imaging and measurement of the retinal sublayers using the OCT may provide evidence on neurodegeneration in WMH. John Wiley and Sons Inc. 2019-12-25 /pmc/articles/PMC7010590/ /pubmed/31875660 http://dx.doi.org/10.1002/brb3.1521 Text en © 2019 The Authors. Brain and Behavior published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Qu, Man
Kwapong, William Robert
Peng, Chenlei
Cao, Yungang
Lu, Fan
Shen, Meixiao
Han, Zhao
Retinal sublayer defect is independently associated with the severity of hypertensive white matter hyperintensity
title Retinal sublayer defect is independently associated with the severity of hypertensive white matter hyperintensity
title_full Retinal sublayer defect is independently associated with the severity of hypertensive white matter hyperintensity
title_fullStr Retinal sublayer defect is independently associated with the severity of hypertensive white matter hyperintensity
title_full_unstemmed Retinal sublayer defect is independently associated with the severity of hypertensive white matter hyperintensity
title_short Retinal sublayer defect is independently associated with the severity of hypertensive white matter hyperintensity
title_sort retinal sublayer defect is independently associated with the severity of hypertensive white matter hyperintensity
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7010590/
https://www.ncbi.nlm.nih.gov/pubmed/31875660
http://dx.doi.org/10.1002/brb3.1521
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