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Title: Optical coherence tomography angiography : a review of current and future clinical applications
Authors: Ang, Marcus
Tan, Anna Cheng Sim
Cheung, Gemmy Chui Ming
Keane, Pearse Andrew
Dolz-Marco, Rosa
Sng, Chelvin Cheryl Agnes
Schmetterer, Leopold
Keywords: Science::Medicine
Issue Date: 2018
Source: Ang, M., Tan, A. C. S., Cheung, G. C. M., Keane, P. A., Dolz-Marco, R., Sng, C. C. A., & Schmetterer, L. (2018). Optical coherence tomography angiography : a review of current and future clinical applications. Graefe's Archive for Clinical and Experimental Ophthalmology, 256(2), 237-245. doi:10.1007/s00417-017-3896-2
Journal: Graefe's Archive for Clinical and Experimental Ophthalmology
Abstract: Optical coherence tomography angiography is a non-invasive imaging technique that now allows for simultaneous in vivo imaging of the morphology as well as the vasculature in the eye. In this review, we provide an update on the existing clinical applications of optical coherence tomography angiography technology from the anterior to posterior segment of the eye. We also discuss the limitations of optical coherence tomography angiography technology, as well as the caveats to the interpretation of images. As current optical coherence tomography angiography systems are optimized for the retina, most studies have focused on interpreting images from conditions such as age related macular degeneration and retinal vascular diseases. However, the interpretation of these optical coherence tomography angiography images should be taken in consideration with other multi-modal imaging to overcome the limitations of each technique. In addition, there are a growing variety of clinical applications for optical coherence tomography angiography imaging in optic nerve head evaluation for glaucoma and optic neuropathies. Further developments in anterior optical coherence tomography angiography have now allowed for evaluation of anterior segment pathology such as glaucoma, ocular surface diseases, corneal vascularisation, and abnormal iris vasculature. Future developments in software could allow for improved segmentation and image resolution with automated measurements and analysis.
ISSN: 0721-832X
DOI: 10.1007/s00417-017-3896-2
Rights: © 2018 Springer-Verlag GmbH Germany, part of Springer Nature. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:LKCMedicine Journal Articles


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