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  4. Analysis of Scleral Feeder Vessel in Myopic Choroidal Neovascularization Using Optical Coherence Tomography Angiography

Analysis of Scleral Feeder Vessel in Myopic Choroidal Neovascularization Using Optical Coherence Tomography Angiography

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sword-2019-06-21T17:57:43.original.xml (130 B)
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Author(s)
Louzada, Ricardo Noguera
•
Ferrara, Daniela
•
Novais, Eduardo Amorim
•
Moult, Eric
•
Cole, Emily
•
Lane, Mark
•
Fujimoto, James G
•
Duker, Jay S.
•
Baumal, Caroline R.
Date Issued
October 1, 2016
Journal
Ophthalmic Surgery, Lasers and Imaging Retina
Publisher
SLACK, Inc.
Citation
Ricardo, Noguera Louzada et al. "Analysis of Scleral Feeder Vessel in Myopic Choroidal Neovascularization Using Optical Coherence Tomography Angiography." Ophthalmic Surgery, Lasers and Imaging Retina 47, 10 (October 2016): 960-964
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Author's final manuscript
Abstract
To describe the appearance of a scleralderived feeder vessel in a highly myopic eye with secondary choroidal neovascularization (CNV) as visualized on both en face high-speed swept-source (SS) optical coherence tomography angiography (OCTA) prototype, and a commercially available spectral-domain (SD) OCTA, with the corresponding en face and cross-sectional structural OCT images. In this case report, a 60-year-old white male presented with high myopia and secondary CNV in the right eye, previously treated with anti-vascular endothelial growth factor, and was imaged on both SD-OCT and SS-OCT. The neovascular complex could be visualized on both devices. Structural en face SS-OCT images demonstrated a large choroidal-scleral feeder vessel that was not visualized with SD-OCT. The authors concluded that structural en face SS-OCT better visualizes scleral feeder vessel compared to SD-OCT due to the longer wavelength (~1,050 nm) with increased choroidal penetration and decreased sensitivity roll-off in the SS-OCT system.
MIT Department
Massachusetts Institute of Technology. Research Laboratory of Electronics
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
http://creativecommons.org/licenses/by-nc-sa/4.0/
Persistent DSpace Link
https://hdl.handle.net/1721.1/121386
DOI of Published Version
https://doi.org/10.3928/23258160-20161004-11
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