Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Devarajan, Kavya, Di Lee, Wen, Ong, Hon Shing, Lwin, Nyein C., Chua, Jacqueline, Schmetterer, Leopold, Mehta, Jodhbir S., Ang, Marcus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
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
_version_ 1783387023736832000
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
work_keys_str_mv AT devarajankavya vesseldensityandenfacesegmentationofopticalcoherencetomographyangiographytoanalysecornealvascularisationinananimalmodel
AT dileewen vesseldensityandenfacesegmentationofopticalcoherencetomographyangiographytoanalysecornealvascularisationinananimalmodel
AT onghonshing vesseldensityandenfacesegmentationofopticalcoherencetomographyangiographytoanalysecornealvascularisationinananimalmodel
AT lwinnyeinc vesseldensityandenfacesegmentationofopticalcoherencetomographyangiographytoanalysecornealvascularisationinananimalmodel
AT chuajacqueline vesseldensityandenfacesegmentationofopticalcoherencetomographyangiographytoanalysecornealvascularisationinananimalmodel
AT schmettererleopold vesseldensityandenfacesegmentationofopticalcoherencetomographyangiographytoanalysecornealvascularisationinananimalmodel
AT mehtajodhbirs vesseldensityandenfacesegmentationofopticalcoherencetomographyangiographytoanalysecornealvascularisationinananimalmodel
AT angmarcus vesseldensityandenfacesegmentationofopticalcoherencetomographyangiographytoanalysecornealvascularisationinananimalmodel