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Association between Visual Acuity and Retinal Layer Metrics in Diabetics with and without Macular Edema

PURPOSE: Diabetes is known to cause alterations in retinal microvasculature and tissue that progressively lead to visual impairment. Optical coherence tomography (OCT) is useful for assessment of total retinal thickening due to diabetic macular edema (DME). In the current study, we determined associ...

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Autores principales: Rangaraju, LakshmiPriya, Jiang, Xuejuan, McAnany, J. Jason, Tan, Michael R., Wanek, Justin, Blair, Norman P., Lim, Jennifer I., Shahidi, Mahnaz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6192089/
https://www.ncbi.nlm.nih.gov/pubmed/30402277
http://dx.doi.org/10.1155/2018/1089043
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author Rangaraju, LakshmiPriya
Jiang, Xuejuan
McAnany, J. Jason
Tan, Michael R.
Wanek, Justin
Blair, Norman P.
Lim, Jennifer I.
Shahidi, Mahnaz
author_facet Rangaraju, LakshmiPriya
Jiang, Xuejuan
McAnany, J. Jason
Tan, Michael R.
Wanek, Justin
Blair, Norman P.
Lim, Jennifer I.
Shahidi, Mahnaz
author_sort Rangaraju, LakshmiPriya
collection PubMed
description PURPOSE: Diabetes is known to cause alterations in retinal microvasculature and tissue that progressively lead to visual impairment. Optical coherence tomography (OCT) is useful for assessment of total retinal thickening due to diabetic macular edema (DME). In the current study, we determined associations between visual acuity (VA) and retinal layer thickness, reflectance, and interface disruption derived from enface OCT images in subjects with and without DME. MATERIALS AND METHODS: Best corrected VA was measured and high-density OCT volume scans were acquired in 149 diabetic subjects. A previously established image segmentation method identified retinal layer interfaces and locations of visually indiscernible (disrupted) interfaces. Enface thickness maps and reflectance images of the nerve fiber layer (NFL), combined ganglion cell and inner plexiform layer (GCLIPL), inner nuclear layer (INL), outer plexiform layer (OPL), outer nuclear layer (ONL), photoreceptor outer segment layer (OSL), and retinal pigment epithelium (RPE) were generated in the central macular subfield. The associations among VA and retinal layer metrics were determined by multivariate linear regressions after adjusting for covariates (age, sex, race, HbA1c, diabetes type, and duration) and correcting for multiple comparisons. RESULTS: In DME subjects, increased GCLIPL and OPL thickness and decreased OSL thickness were associated with reduced VA. Furthermore, increased NFL reflectance and decreased OSL reflectance were associated with reduced VA. Additionally, increased areas of INL and ONL interface disruptions were associated with reduced VA. In subjects without DME, increased INL thickness was associated with reduced VA, whereas in subjects without DME but with previous antivascular endothelium growth factor treatment, thickening of OPL was associated with reduced VA. CONCLUSIONS: Alterations in retinal layer thickness and reflectance metrics derived from enface OCT images were associated with reduced VA with and without presence of DME, suggestive of their potential for monitoring development, progression, and treatment of DME.
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spelling pubmed-61920892018-11-06 Association between Visual Acuity and Retinal Layer Metrics in Diabetics with and without Macular Edema Rangaraju, LakshmiPriya Jiang, Xuejuan McAnany, J. Jason Tan, Michael R. Wanek, Justin Blair, Norman P. Lim, Jennifer I. Shahidi, Mahnaz J Ophthalmol Research Article PURPOSE: Diabetes is known to cause alterations in retinal microvasculature and tissue that progressively lead to visual impairment. Optical coherence tomography (OCT) is useful for assessment of total retinal thickening due to diabetic macular edema (DME). In the current study, we determined associations between visual acuity (VA) and retinal layer thickness, reflectance, and interface disruption derived from enface OCT images in subjects with and without DME. MATERIALS AND METHODS: Best corrected VA was measured and high-density OCT volume scans were acquired in 149 diabetic subjects. A previously established image segmentation method identified retinal layer interfaces and locations of visually indiscernible (disrupted) interfaces. Enface thickness maps and reflectance images of the nerve fiber layer (NFL), combined ganglion cell and inner plexiform layer (GCLIPL), inner nuclear layer (INL), outer plexiform layer (OPL), outer nuclear layer (ONL), photoreceptor outer segment layer (OSL), and retinal pigment epithelium (RPE) were generated in the central macular subfield. The associations among VA and retinal layer metrics were determined by multivariate linear regressions after adjusting for covariates (age, sex, race, HbA1c, diabetes type, and duration) and correcting for multiple comparisons. RESULTS: In DME subjects, increased GCLIPL and OPL thickness and decreased OSL thickness were associated with reduced VA. Furthermore, increased NFL reflectance and decreased OSL reflectance were associated with reduced VA. Additionally, increased areas of INL and ONL interface disruptions were associated with reduced VA. In subjects without DME, increased INL thickness was associated with reduced VA, whereas in subjects without DME but with previous antivascular endothelium growth factor treatment, thickening of OPL was associated with reduced VA. CONCLUSIONS: Alterations in retinal layer thickness and reflectance metrics derived from enface OCT images were associated with reduced VA with and without presence of DME, suggestive of their potential for monitoring development, progression, and treatment of DME. Hindawi 2018-10-03 /pmc/articles/PMC6192089/ /pubmed/30402277 http://dx.doi.org/10.1155/2018/1089043 Text en Copyright © 2018 LakshmiPriya Rangaraju et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Rangaraju, LakshmiPriya
Jiang, Xuejuan
McAnany, J. Jason
Tan, Michael R.
Wanek, Justin
Blair, Norman P.
Lim, Jennifer I.
Shahidi, Mahnaz
Association between Visual Acuity and Retinal Layer Metrics in Diabetics with and without Macular Edema
title Association between Visual Acuity and Retinal Layer Metrics in Diabetics with and without Macular Edema
title_full Association between Visual Acuity and Retinal Layer Metrics in Diabetics with and without Macular Edema
title_fullStr Association between Visual Acuity and Retinal Layer Metrics in Diabetics with and without Macular Edema
title_full_unstemmed Association between Visual Acuity and Retinal Layer Metrics in Diabetics with and without Macular Edema
title_short Association between Visual Acuity and Retinal Layer Metrics in Diabetics with and without Macular Edema
title_sort association between visual acuity and retinal layer metrics in diabetics with and without macular edema
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6192089/
https://www.ncbi.nlm.nih.gov/pubmed/30402277
http://dx.doi.org/10.1155/2018/1089043
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