Retinal applications of swept source optical coherence tomography (OCT) and optical coherence tomography angiography (OCTA).

Choroid Imaging Optical coherence tomography Optical coherence tomography angiography Retina Swept source Vitreous

Journal

Progress in retinal and eye research
ISSN: 1873-1635
Titre abrégé: Prog Retin Eye Res
Pays: England
ID NLM: 9431859

Informations de publication

Date de publication:
09 2021
Historique:
received: 28 07 2020
revised: 17 01 2021
accepted: 20 01 2021
pubmed: 1 2 2021
medline: 15 12 2021
entrez: 31 1 2021
Statut: ppublish

Résumé

The advent of optical coherence tomography (OCT) revolutionized both clinical assessment and research of vitreoretinal conditions. Since then, extraordinary advances have been made in this imaging technology, including the relatively recent development of swept-source OCT (SS-OCT). SS-OCT enables a fast scan rate and utilizes a tunable swept laser, thus enabling the incorporation of longer wavelengths than conventional spectral-domain devices. These features enable imaging of larger areas with reduced motion artifact, and a better visualization of the choroidal vasculature, respectively. Building on the principles of OCT, swept-source OCT has also been applied to OCT angiography (SS-OCTA), thus enabling a non-invasive in depth-resolved imaging of the retinal and choroidal microvasculature. Despite their advantages, the widespread use of SS-OCT and SS-OCTA remains relatively limited. In this review, we summarize the technical details, advantages and limitations of SS-OCT and SS-OCTA, with a particular emphasis on their relevance for the study of retinal conditions. Additionally, we comprehensively review relevant studies performed to date to the study of retinal health and disease, and highlight current gaps in knowledge and opportunities to take advantage of swept source technology to improve our current understanding of many medical and surgical chorioretinal conditions. We anticipate that SS-OCT and SS-OCTA will continue to evolve rapidly, contributing to a paradigm shift to more widespread adoption of new imaging technology to clinical practice.

Identifiants

pubmed: 33516833
pii: S1350-9462(21)00012-4
doi: 10.1016/j.preteyeres.2021.100951
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

100951

Informations de copyright

Copyright © 2021 Elsevier Ltd. All rights reserved.

Auteurs

Inês Laíns (I)

Retina Service, Massachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, MA, USA; Harvard Retinal Imaging Lab, Boston, MA, USA.

Jay C Wang (JC)

Retina Service, Massachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, MA, USA; Harvard Retinal Imaging Lab, Boston, MA, USA.

Ying Cui (Y)

Retina Service, Massachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, MA, USA; Harvard Retinal Imaging Lab, Boston, MA, USA; Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.

Raviv Katz (R)

Retina Service, Massachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, MA, USA; Harvard Retinal Imaging Lab, Boston, MA, USA.

Filippos Vingopoulos (F)

Retina Service, Massachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, MA, USA; Harvard Retinal Imaging Lab, Boston, MA, USA.

Giovanni Staurenghi (G)

Eye Clinic, Department of Biomedical and Clinical Science "Luigi Sacco", University of Milan, Italy.

Demetrios G Vavvas (DG)

Retina Service, Massachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, MA, USA.

Joan W Miller (JW)

Retina Service, Massachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, MA, USA.

John B Miller (JB)

Retina Service, Massachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, MA, USA; Harvard Retinal Imaging Lab, Boston, MA, USA. Electronic address: john_miller@meei.harvard.edu.

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Classifications MeSH