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Vessel density and En-face segmentation of optical coherence tomography angiography to analyse corneal vascularisation in an animal model
BACKGROUND: Optical coherence tomography angiography (OCTA) is a novel non-invasive angiography technology that has recently been extensively studied for its utility in anterior segment imaging. In this study, we compared a split-spectrum amplitude decorrelation angiography (SSADA) OCTA and an optic...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6330743/ https://www.ncbi.nlm.nih.gov/pubmed/30656178 http://dx.doi.org/10.1186/s40662-018-0128-8 |
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author | Devarajan, Kavya Di Lee, Wen Ong, Hon Shing Lwin, Nyein C. Chua, Jacqueline Schmetterer, Leopold Mehta, Jodhbir S. Ang, Marcus |
author_facet | Devarajan, Kavya Di Lee, Wen Ong, Hon Shing Lwin, Nyein C. Chua, Jacqueline Schmetterer, Leopold Mehta, Jodhbir S. Ang, Marcus |
author_sort | Devarajan, Kavya |
collection | PubMed |
description | BACKGROUND: Optical coherence tomography angiography (OCTA) is a novel non-invasive angiography technology that has recently been extensively studied for its utility in anterior segment imaging. In this study, we compared a split-spectrum amplitude decorrelation angiography (SSADA) OCTA and an optical micro-angiography (OMAG SD) OCTA system to current angiographic technique, indocyanine green angiography (ICGA), to assess corneal vascularisation in an animal model. METHODS: We imaged 16 rabbits, (one eye per animal) with corneal vascularisation using SSADA OCTA (AngioVue; Optovue Inc., USA), OMAG OCTA (Angioscan; RS-3000 Nidek Co. Ltd., Japan) and ICGA in the same region of interest of the cornea at successive time-points. We then analysed all scanned images for vessel density measurements and used paired t-tests and Bland-Altman plots to examine for significant differences. The en-face segmentation images from each of the OCTA scans were also extracted and were matched at every 50 μm segmentation to be compared for vessel density at the respective depths. RESULTS: Bland-Altman plots revealed a good agreement between all three imaging techniques (P > 0.05) for all vessel density measurements computed, and the ranges of 95% limit of agreement were acceptable from a clinical perspective. No significant difference was reported, with ICGA (μ = 16.52 ± 8.94%) being more comparable to the OMAG OCTA (μ = 16.23 ± 9.51%; p = 0.50) than the SSADA OCTA (μ = 17.09 ± 7.34%; p = 0.33) system. Also, a good correlation value (r > 0.9) was obtained when comparing the vessel density measurements of the en-face segmentations between the OCTA systems. CONCLUSIONS: Comparable vessel density quantification between the two OCTA systems, and with ICGA was obtained. Segmentation analysis of the vasculature at different depths showed varied performance in the two OCTA systems relative to each other. The implications of the study may help to aid in the development of better OCTA algorithms for the anterior segment and its use in clinical translational research. |
format | Online Article Text |
id | pubmed-6330743 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-63307432019-01-17 Vessel density and En-face segmentation of optical coherence tomography angiography to analyse corneal vascularisation in an animal model Devarajan, Kavya Di Lee, Wen Ong, Hon Shing Lwin, Nyein C. Chua, Jacqueline Schmetterer, Leopold Mehta, Jodhbir S. Ang, Marcus Eye Vis (Lond) Research BACKGROUND: Optical coherence tomography angiography (OCTA) is a novel non-invasive angiography technology that has recently been extensively studied for its utility in anterior segment imaging. In this study, we compared a split-spectrum amplitude decorrelation angiography (SSADA) OCTA and an optical micro-angiography (OMAG SD) OCTA system to current angiographic technique, indocyanine green angiography (ICGA), to assess corneal vascularisation in an animal model. METHODS: We imaged 16 rabbits, (one eye per animal) with corneal vascularisation using SSADA OCTA (AngioVue; Optovue Inc., USA), OMAG OCTA (Angioscan; RS-3000 Nidek Co. Ltd., Japan) and ICGA in the same region of interest of the cornea at successive time-points. We then analysed all scanned images for vessel density measurements and used paired t-tests and Bland-Altman plots to examine for significant differences. The en-face segmentation images from each of the OCTA scans were also extracted and were matched at every 50 μm segmentation to be compared for vessel density at the respective depths. RESULTS: Bland-Altman plots revealed a good agreement between all three imaging techniques (P > 0.05) for all vessel density measurements computed, and the ranges of 95% limit of agreement were acceptable from a clinical perspective. No significant difference was reported, with ICGA (μ = 16.52 ± 8.94%) being more comparable to the OMAG OCTA (μ = 16.23 ± 9.51%; p = 0.50) than the SSADA OCTA (μ = 17.09 ± 7.34%; p = 0.33) system. Also, a good correlation value (r > 0.9) was obtained when comparing the vessel density measurements of the en-face segmentations between the OCTA systems. CONCLUSIONS: Comparable vessel density quantification between the two OCTA systems, and with ICGA was obtained. Segmentation analysis of the vasculature at different depths showed varied performance in the two OCTA systems relative to each other. The implications of the study may help to aid in the development of better OCTA algorithms for the anterior segment and its use in clinical translational research. BioMed Central 2019-01-08 /pmc/articles/PMC6330743/ /pubmed/30656178 http://dx.doi.org/10.1186/s40662-018-0128-8 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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. |
spellingShingle | Research Devarajan, Kavya Di Lee, Wen Ong, Hon Shing Lwin, Nyein C. Chua, Jacqueline Schmetterer, Leopold Mehta, Jodhbir S. Ang, Marcus Vessel density and En-face segmentation of optical coherence tomography angiography to analyse corneal vascularisation in an animal model |
title | Vessel density and En-face segmentation of optical coherence tomography angiography to analyse corneal vascularisation in an animal model |
title_full | Vessel density and En-face segmentation of optical coherence tomography angiography to analyse corneal vascularisation in an animal model |
title_fullStr | Vessel density and En-face segmentation of optical coherence tomography angiography to analyse corneal vascularisation in an animal model |
title_full_unstemmed | Vessel density and En-face segmentation of optical coherence tomography angiography to analyse corneal vascularisation in an animal model |
title_short | Vessel density and En-face segmentation of optical coherence tomography angiography to analyse corneal vascularisation in an animal model |
title_sort | vessel density and en-face segmentation of optical coherence tomography angiography to analyse corneal vascularisation in an animal model |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6330743/ https://www.ncbi.nlm.nih.gov/pubmed/30656178 http://dx.doi.org/10.1186/s40662-018-0128-8 |
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