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En face image-based classification of diabetic macular edema using swept source optical coherence tomography
This retrospective study was performed to classify diabetic macular edema (DME) based on the localization and area of the fluid and to investigate the relationship of the classification with visual acuity (VA). The fluid was visualized using en face optical coherence tomography (OCT) images construc...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8026626/ https://www.ncbi.nlm.nih.gov/pubmed/33828222 http://dx.doi.org/10.1038/s41598-021-87440-3 |
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author | Fujiwara, Atsushi Kanzaki, Yuki Kimura, Shuhei Hosokawa, Mio Shiode, Yusuke Doi, Shinichiro Takahashi, Kosuke Matoba, Ryo Morizane, Yuki |
author_facet | Fujiwara, Atsushi Kanzaki, Yuki Kimura, Shuhei Hosokawa, Mio Shiode, Yusuke Doi, Shinichiro Takahashi, Kosuke Matoba, Ryo Morizane, Yuki |
author_sort | Fujiwara, Atsushi |
collection | PubMed |
description | This retrospective study was performed to classify diabetic macular edema (DME) based on the localization and area of the fluid and to investigate the relationship of the classification with visual acuity (VA). The fluid was visualized using en face optical coherence tomography (OCT) images constructed using swept-source OCT. A total of 128 eyes with DME were included. The retina was segmented into: Segment 1, mainly comprising the inner nuclear layer and outer plexiform layer, including Henle’s fiber layer; and Segment 2, mainly comprising the outer nuclear layer. DME was classified as: foveal cystoid space at Segment 1 and no fluid at Segment 2 (n = 24), parafoveal cystoid space at Segment 1 and no fluid at Segment 2 (n = 25), parafoveal cystoid space at Segment 1 and diffuse fluid at Segment 2 (n = 16), diffuse fluid at both segments (n = 37), and diffuse fluid at both segments with subretinal fluid (n = 26). Eyes with diffuse fluid at Segment 2 showed significantly poorer VA, higher ellipsoid zone disruption rates, and greater central subfield thickness than did those without fluid at Segment 2 (P < 0.001 for all). These results indicate the importance of the localization and area of the fluid for VA in DME. |
format | Online Article Text |
id | pubmed-8026626 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-80266262021-04-08 En face image-based classification of diabetic macular edema using swept source optical coherence tomography Fujiwara, Atsushi Kanzaki, Yuki Kimura, Shuhei Hosokawa, Mio Shiode, Yusuke Doi, Shinichiro Takahashi, Kosuke Matoba, Ryo Morizane, Yuki Sci Rep Article This retrospective study was performed to classify diabetic macular edema (DME) based on the localization and area of the fluid and to investigate the relationship of the classification with visual acuity (VA). The fluid was visualized using en face optical coherence tomography (OCT) images constructed using swept-source OCT. A total of 128 eyes with DME were included. The retina was segmented into: Segment 1, mainly comprising the inner nuclear layer and outer plexiform layer, including Henle’s fiber layer; and Segment 2, mainly comprising the outer nuclear layer. DME was classified as: foveal cystoid space at Segment 1 and no fluid at Segment 2 (n = 24), parafoveal cystoid space at Segment 1 and no fluid at Segment 2 (n = 25), parafoveal cystoid space at Segment 1 and diffuse fluid at Segment 2 (n = 16), diffuse fluid at both segments (n = 37), and diffuse fluid at both segments with subretinal fluid (n = 26). Eyes with diffuse fluid at Segment 2 showed significantly poorer VA, higher ellipsoid zone disruption rates, and greater central subfield thickness than did those without fluid at Segment 2 (P < 0.001 for all). These results indicate the importance of the localization and area of the fluid for VA in DME. Nature Publishing Group UK 2021-04-07 /pmc/articles/PMC8026626/ /pubmed/33828222 http://dx.doi.org/10.1038/s41598-021-87440-3 Text en © The Author(s) 2021 Open Access This 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/. |
spellingShingle | Article Fujiwara, Atsushi Kanzaki, Yuki Kimura, Shuhei Hosokawa, Mio Shiode, Yusuke Doi, Shinichiro Takahashi, Kosuke Matoba, Ryo Morizane, Yuki En face image-based classification of diabetic macular edema using swept source optical coherence tomography |
title | En face image-based classification of diabetic macular edema using swept source optical coherence tomography |
title_full | En face image-based classification of diabetic macular edema using swept source optical coherence tomography |
title_fullStr | En face image-based classification of diabetic macular edema using swept source optical coherence tomography |
title_full_unstemmed | En face image-based classification of diabetic macular edema using swept source optical coherence tomography |
title_short | En face image-based classification of diabetic macular edema using swept source optical coherence tomography |
title_sort | en face image-based classification of diabetic macular edema using swept source optical coherence tomography |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8026626/ https://www.ncbi.nlm.nih.gov/pubmed/33828222 http://dx.doi.org/10.1038/s41598-021-87440-3 |
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