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Topographic analysis of macular choriocapillaris flow deficits in diabetic retinopathy using swept–source optical coherence tomography angiography
BACKGROUND: The purpose of this study was to investigate the association between diabetic retinopathy (DR) severity and macular choriocapillaris (CC) flow deficit percentage (FD %) in different macular regions using swept-source optical coherence tomography angiography (SS-OCTA). METHODS: Diabetic p...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7081691/ https://www.ncbi.nlm.nih.gov/pubmed/32206342 http://dx.doi.org/10.1186/s40942-020-00209-0 |
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author | Gendelman, Isaac Alibhai, A. Yasin Moult, Eric M. Levine, Emily S. Braun, Phillip X. Mehta, Nihaal Zhao, Yi Ishibazawa, Akihiro Sorour, Osama A. Baumal, Caroline R. Witkin, Andre J. Reichel, Elias Fujimoto, James G. Duker, Jay S. Waheed, Nadia K. |
author_facet | Gendelman, Isaac Alibhai, A. Yasin Moult, Eric M. Levine, Emily S. Braun, Phillip X. Mehta, Nihaal Zhao, Yi Ishibazawa, Akihiro Sorour, Osama A. Baumal, Caroline R. Witkin, Andre J. Reichel, Elias Fujimoto, James G. Duker, Jay S. Waheed, Nadia K. |
author_sort | Gendelman, Isaac |
collection | PubMed |
description | BACKGROUND: The purpose of this study was to investigate the association between diabetic retinopathy (DR) severity and macular choriocapillaris (CC) flow deficit percentage (FD %) in different macular regions using swept-source optical coherence tomography angiography (SS-OCTA). METHODS: Diabetic patients with SS-OCTA images were graded by severity and retrospectively assessed. CC FD % was calculated in four different regions of the OCTA image: inner, middle, outer, and full-field region. The generalized estimating equations (GEE) approach for clustered eye data was used to determine effect size and significance of age and disease severity on FD % for each region. RESULTS: 160 eyes from 90 total diabetic patients met inclusion criteria. Out of 90 patients, 33 had no DR, 17 had mild nonproliferative DR (NPDR), 8 had moderate NPDR, 10 had severe NPDR and 22 had proliferative DR. Age and DR severity had a significant positive association with FD % for each region studied with a greater effect in the two centermost regions. The increase in flow deficit percentage per year of age by region was: inner 0.12 (p < 0.001), middle 0.09 (p < 0.001), outer 0.05 (p < 0.001, full-field 0.06 (p < 0.001). The increase in flow deficit percentage per increase in diabetic retinopathy severity stage by region was: inner 0.65 (p < 0.0087), middle 0.56 (p < 0.0012), outer 0.33 (p < 0.045), full-field 0.36 (p < 0.018). CONCLUSIONS: Topographic analysis of the CC FD % in diabetic eyes suggests that CC flow impairment corresponds to DR severity, with all studied regions of the CC significantly affected. There was greater regional impairment due to age and disease severity in the inner and middle regions. |
format | Online Article Text |
id | pubmed-7081691 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-70816912020-03-23 Topographic analysis of macular choriocapillaris flow deficits in diabetic retinopathy using swept–source optical coherence tomography angiography Gendelman, Isaac Alibhai, A. Yasin Moult, Eric M. Levine, Emily S. Braun, Phillip X. Mehta, Nihaal Zhao, Yi Ishibazawa, Akihiro Sorour, Osama A. Baumal, Caroline R. Witkin, Andre J. Reichel, Elias Fujimoto, James G. Duker, Jay S. Waheed, Nadia K. Int J Retina Vitreous Original Article BACKGROUND: The purpose of this study was to investigate the association between diabetic retinopathy (DR) severity and macular choriocapillaris (CC) flow deficit percentage (FD %) in different macular regions using swept-source optical coherence tomography angiography (SS-OCTA). METHODS: Diabetic patients with SS-OCTA images were graded by severity and retrospectively assessed. CC FD % was calculated in four different regions of the OCTA image: inner, middle, outer, and full-field region. The generalized estimating equations (GEE) approach for clustered eye data was used to determine effect size and significance of age and disease severity on FD % for each region. RESULTS: 160 eyes from 90 total diabetic patients met inclusion criteria. Out of 90 patients, 33 had no DR, 17 had mild nonproliferative DR (NPDR), 8 had moderate NPDR, 10 had severe NPDR and 22 had proliferative DR. Age and DR severity had a significant positive association with FD % for each region studied with a greater effect in the two centermost regions. The increase in flow deficit percentage per year of age by region was: inner 0.12 (p < 0.001), middle 0.09 (p < 0.001), outer 0.05 (p < 0.001, full-field 0.06 (p < 0.001). The increase in flow deficit percentage per increase in diabetic retinopathy severity stage by region was: inner 0.65 (p < 0.0087), middle 0.56 (p < 0.0012), outer 0.33 (p < 0.045), full-field 0.36 (p < 0.018). CONCLUSIONS: Topographic analysis of the CC FD % in diabetic eyes suggests that CC flow impairment corresponds to DR severity, with all studied regions of the CC significantly affected. There was greater regional impairment due to age and disease severity in the inner and middle regions. BioMed Central 2020-03-19 /pmc/articles/PMC7081691/ /pubmed/32206342 http://dx.doi.org/10.1186/s40942-020-00209-0 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Original Article Gendelman, Isaac Alibhai, A. Yasin Moult, Eric M. Levine, Emily S. Braun, Phillip X. Mehta, Nihaal Zhao, Yi Ishibazawa, Akihiro Sorour, Osama A. Baumal, Caroline R. Witkin, Andre J. Reichel, Elias Fujimoto, James G. Duker, Jay S. Waheed, Nadia K. Topographic analysis of macular choriocapillaris flow deficits in diabetic retinopathy using swept–source optical coherence tomography angiography |
title | Topographic analysis of macular choriocapillaris flow deficits in diabetic retinopathy using swept–source optical coherence tomography angiography |
title_full | Topographic analysis of macular choriocapillaris flow deficits in diabetic retinopathy using swept–source optical coherence tomography angiography |
title_fullStr | Topographic analysis of macular choriocapillaris flow deficits in diabetic retinopathy using swept–source optical coherence tomography angiography |
title_full_unstemmed | Topographic analysis of macular choriocapillaris flow deficits in diabetic retinopathy using swept–source optical coherence tomography angiography |
title_short | Topographic analysis of macular choriocapillaris flow deficits in diabetic retinopathy using swept–source optical coherence tomography angiography |
title_sort | topographic analysis of macular choriocapillaris flow deficits in diabetic retinopathy using swept–source optical coherence tomography angiography |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7081691/ https://www.ncbi.nlm.nih.gov/pubmed/32206342 http://dx.doi.org/10.1186/s40942-020-00209-0 |
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