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Optical Coherence Tomography Angiography in Retinal Vascular Disorders
Traditionally, abnormalities of the retinal vasculature and perfusion in retinal vascular disorders, such as diabetic retinopathy and retinal vascular occlusions, have been visualized with dye-based fluorescein angiography (FA). Optical coherence tomography angiography (OCTA) is a newer, alternative...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10178415/ https://www.ncbi.nlm.nih.gov/pubmed/37175011 http://dx.doi.org/10.3390/diagnostics13091620 |
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author | Ong, Charles Jit Teng Wong, Mark Yu Zheng Cheong, Kai Xiong Zhao, Jinzhi Teo, Kelvin Yi Chong Tan, Tien-En |
author_facet | Ong, Charles Jit Teng Wong, Mark Yu Zheng Cheong, Kai Xiong Zhao, Jinzhi Teo, Kelvin Yi Chong Tan, Tien-En |
author_sort | Ong, Charles Jit Teng |
collection | PubMed |
description | Traditionally, abnormalities of the retinal vasculature and perfusion in retinal vascular disorders, such as diabetic retinopathy and retinal vascular occlusions, have been visualized with dye-based fluorescein angiography (FA). Optical coherence tomography angiography (OCTA) is a newer, alternative modality for imaging the retinal vasculature, which has some advantages over FA, such as its dye-free, non-invasive nature, and depth resolution. The depth resolution of OCTA allows for characterization of the retinal microvasculature in distinct anatomic layers, and commercial OCTA platforms also provide automated quantitative vascular and perfusion metrics. Quantitative and qualitative OCTA analysis in various retinal vascular disorders has facilitated the detection of pre-clinical vascular changes, greater understanding of known clinical signs, and the development of imaging biomarkers to prognosticate and guide treatment. With further technological improvements, such as a greater field of view and better image quality processing algorithms, it is likely that OCTA will play an integral role in the study and management of retinal vascular disorders. Artificial intelligence methods—in particular, deep learning—show promise in refining the insights to be gained from the use of OCTA in retinal vascular disorders. This review aims to summarize the current literature on this imaging modality in relation to common retinal vascular disorders. |
format | Online Article Text |
id | pubmed-10178415 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-101784152023-05-13 Optical Coherence Tomography Angiography in Retinal Vascular Disorders Ong, Charles Jit Teng Wong, Mark Yu Zheng Cheong, Kai Xiong Zhao, Jinzhi Teo, Kelvin Yi Chong Tan, Tien-En Diagnostics (Basel) Review Traditionally, abnormalities of the retinal vasculature and perfusion in retinal vascular disorders, such as diabetic retinopathy and retinal vascular occlusions, have been visualized with dye-based fluorescein angiography (FA). Optical coherence tomography angiography (OCTA) is a newer, alternative modality for imaging the retinal vasculature, which has some advantages over FA, such as its dye-free, non-invasive nature, and depth resolution. The depth resolution of OCTA allows for characterization of the retinal microvasculature in distinct anatomic layers, and commercial OCTA platforms also provide automated quantitative vascular and perfusion metrics. Quantitative and qualitative OCTA analysis in various retinal vascular disorders has facilitated the detection of pre-clinical vascular changes, greater understanding of known clinical signs, and the development of imaging biomarkers to prognosticate and guide treatment. With further technological improvements, such as a greater field of view and better image quality processing algorithms, it is likely that OCTA will play an integral role in the study and management of retinal vascular disorders. Artificial intelligence methods—in particular, deep learning—show promise in refining the insights to be gained from the use of OCTA in retinal vascular disorders. This review aims to summarize the current literature on this imaging modality in relation to common retinal vascular disorders. MDPI 2023-05-03 /pmc/articles/PMC10178415/ /pubmed/37175011 http://dx.doi.org/10.3390/diagnostics13091620 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Ong, Charles Jit Teng Wong, Mark Yu Zheng Cheong, Kai Xiong Zhao, Jinzhi Teo, Kelvin Yi Chong Tan, Tien-En Optical Coherence Tomography Angiography in Retinal Vascular Disorders |
title | Optical Coherence Tomography Angiography in Retinal Vascular Disorders |
title_full | Optical Coherence Tomography Angiography in Retinal Vascular Disorders |
title_fullStr | Optical Coherence Tomography Angiography in Retinal Vascular Disorders |
title_full_unstemmed | Optical Coherence Tomography Angiography in Retinal Vascular Disorders |
title_short | Optical Coherence Tomography Angiography in Retinal Vascular Disorders |
title_sort | optical coherence tomography angiography in retinal vascular disorders |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10178415/ https://www.ncbi.nlm.nih.gov/pubmed/37175011 http://dx.doi.org/10.3390/diagnostics13091620 |
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