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Optical coherence tomography imaging biomarkers associated with neovascular age-related macular degeneration: a systematic review
The aim of this systematic literature review is twofold, (1) detail the impact of retinal biomarkers identifiable via optical coherence tomography (OCT) on disease progression and response to treatment in neovascular age-related macular degeneration (nAMD) and (2) establish which biomarkers are curr...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9871156/ https://www.ncbi.nlm.nih.gov/pubmed/36526863 http://dx.doi.org/10.1038/s41433-022-02360-4 |
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author | Hanson, Rachel L. W. Airody, Archana Sivaprasad, Sobha Gale, Richard P. |
author_facet | Hanson, Rachel L. W. Airody, Archana Sivaprasad, Sobha Gale, Richard P. |
author_sort | Hanson, Rachel L. W. |
collection | PubMed |
description | The aim of this systematic literature review is twofold, (1) detail the impact of retinal biomarkers identifiable via optical coherence tomography (OCT) on disease progression and response to treatment in neovascular age-related macular degeneration (nAMD) and (2) establish which biomarkers are currently identifiable by artificial intelligence (AI) models and the utilisation of this technology. Following the PRISMA guidelines, PubMed was searched for peer-reviewed publications dated between January 2016 and January 2022. Population: Patients diagnosed with nAMD with OCT imaging. Settings: Comparable settings to NHS hospitals. Study designs: Randomised controlled trials, prospective/retrospective cohort studies and review articles. From 228 articles, 130 were full-text reviewed, 50 were removed for falling outside the scope of this review with 10 added from the author’s inventory, resulting in the inclusion of 90 articles. From 9 biomarkers identified; intraretinal fluid (IRF), subretinal fluid, pigment epithelial detachment, subretinal hyperreflective material (SHRM), retinal pigmental epithelial (RPE) atrophy, drusen, outer retinal tabulation (ORT), hyperreflective foci (HF) and retinal thickness, 5 are considered pertinent to nAMD disease progression; IRF, SHRM, drusen, ORT and HF. A number of these biomarkers can be classified using current AI models. Significant retinal biomarkers pertinent to disease activity and progression in nAMD are identifiable via OCT; IRF being the most important in terms of the significant impact on visual outcome. Incorporating AI into ophthalmology practice is a promising advancement towards automated and reproducible analyses of OCT data with the ability to diagnose disease and predict future disease conversion. Systematic Review Registration: This review has been registered with PROSPERO (registration ID: CRD42021233200). |
format | Online Article Text |
id | pubmed-9871156 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-98711562023-01-30 Optical coherence tomography imaging biomarkers associated with neovascular age-related macular degeneration: a systematic review Hanson, Rachel L. W. Airody, Archana Sivaprasad, Sobha Gale, Richard P. Eye (Lond) Review Article The aim of this systematic literature review is twofold, (1) detail the impact of retinal biomarkers identifiable via optical coherence tomography (OCT) on disease progression and response to treatment in neovascular age-related macular degeneration (nAMD) and (2) establish which biomarkers are currently identifiable by artificial intelligence (AI) models and the utilisation of this technology. Following the PRISMA guidelines, PubMed was searched for peer-reviewed publications dated between January 2016 and January 2022. Population: Patients diagnosed with nAMD with OCT imaging. Settings: Comparable settings to NHS hospitals. Study designs: Randomised controlled trials, prospective/retrospective cohort studies and review articles. From 228 articles, 130 were full-text reviewed, 50 were removed for falling outside the scope of this review with 10 added from the author’s inventory, resulting in the inclusion of 90 articles. From 9 biomarkers identified; intraretinal fluid (IRF), subretinal fluid, pigment epithelial detachment, subretinal hyperreflective material (SHRM), retinal pigmental epithelial (RPE) atrophy, drusen, outer retinal tabulation (ORT), hyperreflective foci (HF) and retinal thickness, 5 are considered pertinent to nAMD disease progression; IRF, SHRM, drusen, ORT and HF. A number of these biomarkers can be classified using current AI models. Significant retinal biomarkers pertinent to disease activity and progression in nAMD are identifiable via OCT; IRF being the most important in terms of the significant impact on visual outcome. Incorporating AI into ophthalmology practice is a promising advancement towards automated and reproducible analyses of OCT data with the ability to diagnose disease and predict future disease conversion. Systematic Review Registration: This review has been registered with PROSPERO (registration ID: CRD42021233200). Nature Publishing Group UK 2022-12-16 2023-08 /pmc/articles/PMC9871156/ /pubmed/36526863 http://dx.doi.org/10.1038/s41433-022-02360-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Review Article Hanson, Rachel L. W. Airody, Archana Sivaprasad, Sobha Gale, Richard P. Optical coherence tomography imaging biomarkers associated with neovascular age-related macular degeneration: a systematic review |
title | Optical coherence tomography imaging biomarkers associated with neovascular age-related macular degeneration: a systematic review |
title_full | Optical coherence tomography imaging biomarkers associated with neovascular age-related macular degeneration: a systematic review |
title_fullStr | Optical coherence tomography imaging biomarkers associated with neovascular age-related macular degeneration: a systematic review |
title_full_unstemmed | Optical coherence tomography imaging biomarkers associated with neovascular age-related macular degeneration: a systematic review |
title_short | Optical coherence tomography imaging biomarkers associated with neovascular age-related macular degeneration: a systematic review |
title_sort | optical coherence tomography imaging biomarkers associated with neovascular age-related macular degeneration: a systematic review |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9871156/ https://www.ncbi.nlm.nih.gov/pubmed/36526863 http://dx.doi.org/10.1038/s41433-022-02360-4 |
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