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Retinal thickness changes in different subfields reflect the volume change of cerebral white matter hyperintensity

PURPOSE: To investigate the relationship between the retinal thickness in different subfields and the volume of white matter hyperintensity (WMH), with the hope to provide new evidence for the potential association between the retina and the brain. METHODS: A total of 185 participants aged over 40 y...

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Autores principales: Lv, Xiaohan, Teng, Zhenjie, Jia, Zhiyang, Dong, Yanhong, Xu, Jing, Lv, Peiyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9618613/
https://www.ncbi.nlm.nih.gov/pubmed/36324380
http://dx.doi.org/10.3389/fneur.2022.1014359
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author Lv, Xiaohan
Teng, Zhenjie
Jia, Zhiyang
Dong, Yanhong
Xu, Jing
Lv, Peiyuan
author_facet Lv, Xiaohan
Teng, Zhenjie
Jia, Zhiyang
Dong, Yanhong
Xu, Jing
Lv, Peiyuan
author_sort Lv, Xiaohan
collection PubMed
description PURPOSE: To investigate the relationship between the retinal thickness in different subfields and the volume of white matter hyperintensity (WMH), with the hope to provide new evidence for the potential association between the retina and the brain. METHODS: A total of 185 participants aged over 40 years were included in our study. Magnetic resonance imaging (MRI) was used to image the WMH, and WMH volume was quantitatively measured by a specific toolbox. The thickness of the total retina, the retinal nerve fiber layer (RNFL), and the ganglion cell and inner plexiform layer (GCIP) was measured by optical coherence tomography (OCT) in nine subfields. The association between retinal thickness and WMH volume was demonstrated using binary logistic regression and Pearson correlation analysis. RESULTS: Participants were divided into two groups by the WMH volume (‰, standardized WMH volume) median. In the quartile-stratified binary logistic regression analysis, we found that the risk of higher WMH volume showed a positive linear trend correlation with the thickness of total retina (95% CI: 0.848 to 7.034; P for trend = 0.044)/ GCIP (95% CI: 1.263 to 10.549; P for trend = 0.038) at the central fovea, and a negative linear trend correlation with the thickness of nasal inner RNFL (95% CI: 0.086 to 0.787; P for trend = 0.012), nasal outer RNFL (95% CI: 0.058 to 0.561; P for trend = 0.004), and inferior outer RNFL (95% CI: 0.081 to 0.667; P for trend = 0.004), after adjusting for possible confounders. Correlation analysis results showed that WMH volume had a significant negative correlation with superior outer RNFL thickness (r = −0.171, P = 0.02) and nasal outer RNFL thickness (r = −0.208, P = 0.004). CONCLUSION: It is suggested that central fovea and outer retina thickness are respectively associated with WMH volume. OCT may be a biological marker for early detection and longitudinal monitoring of WMH.
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spelling pubmed-96186132022-11-01 Retinal thickness changes in different subfields reflect the volume change of cerebral white matter hyperintensity Lv, Xiaohan Teng, Zhenjie Jia, Zhiyang Dong, Yanhong Xu, Jing Lv, Peiyuan Front Neurol Neurology PURPOSE: To investigate the relationship between the retinal thickness in different subfields and the volume of white matter hyperintensity (WMH), with the hope to provide new evidence for the potential association between the retina and the brain. METHODS: A total of 185 participants aged over 40 years were included in our study. Magnetic resonance imaging (MRI) was used to image the WMH, and WMH volume was quantitatively measured by a specific toolbox. The thickness of the total retina, the retinal nerve fiber layer (RNFL), and the ganglion cell and inner plexiform layer (GCIP) was measured by optical coherence tomography (OCT) in nine subfields. The association between retinal thickness and WMH volume was demonstrated using binary logistic regression and Pearson correlation analysis. RESULTS: Participants were divided into two groups by the WMH volume (‰, standardized WMH volume) median. In the quartile-stratified binary logistic regression analysis, we found that the risk of higher WMH volume showed a positive linear trend correlation with the thickness of total retina (95% CI: 0.848 to 7.034; P for trend = 0.044)/ GCIP (95% CI: 1.263 to 10.549; P for trend = 0.038) at the central fovea, and a negative linear trend correlation with the thickness of nasal inner RNFL (95% CI: 0.086 to 0.787; P for trend = 0.012), nasal outer RNFL (95% CI: 0.058 to 0.561; P for trend = 0.004), and inferior outer RNFL (95% CI: 0.081 to 0.667; P for trend = 0.004), after adjusting for possible confounders. Correlation analysis results showed that WMH volume had a significant negative correlation with superior outer RNFL thickness (r = −0.171, P = 0.02) and nasal outer RNFL thickness (r = −0.208, P = 0.004). CONCLUSION: It is suggested that central fovea and outer retina thickness are respectively associated with WMH volume. OCT may be a biological marker for early detection and longitudinal monitoring of WMH. Frontiers Media S.A. 2022-10-17 /pmc/articles/PMC9618613/ /pubmed/36324380 http://dx.doi.org/10.3389/fneur.2022.1014359 Text en Copyright © 2022 Lv, Teng, Jia, Dong, Xu and Lv. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neurology
Lv, Xiaohan
Teng, Zhenjie
Jia, Zhiyang
Dong, Yanhong
Xu, Jing
Lv, Peiyuan
Retinal thickness changes in different subfields reflect the volume change of cerebral white matter hyperintensity
title Retinal thickness changes in different subfields reflect the volume change of cerebral white matter hyperintensity
title_full Retinal thickness changes in different subfields reflect the volume change of cerebral white matter hyperintensity
title_fullStr Retinal thickness changes in different subfields reflect the volume change of cerebral white matter hyperintensity
title_full_unstemmed Retinal thickness changes in different subfields reflect the volume change of cerebral white matter hyperintensity
title_short Retinal thickness changes in different subfields reflect the volume change of cerebral white matter hyperintensity
title_sort retinal thickness changes in different subfields reflect the volume change of cerebral white matter hyperintensity
topic Neurology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9618613/
https://www.ncbi.nlm.nih.gov/pubmed/36324380
http://dx.doi.org/10.3389/fneur.2022.1014359
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