Diabetic Retinopathy Clinical Trial
Official title:
Comparison of Phase-variance Optical Coherence Tomography and Fluorescein Angiography in the Imaging of Retinovascular Disease
The purpose of this study is to determine whether phase variance optical coherence tomography (PV-OCT), a software-based optical coherence tomography(OCT) image processing technology, can be used to generate angiographic images of the retinochoroidal vasculature that are comparable to those produced by fluorescein angiography (FA), the current gold standard diagnostic test.
Fluorescein angiography (FA) has long been the gold standard for vascular imaging of the
retina and choroid. It is a test that involves the intravenous injection of fluorescein dye,
followed by imaging of the dye's passage through the blood vessels inside the eye. It is
commonly used to diagnose many forms of retinovascular disease, as well as to assess the
retina's response to various therapeutic interventions. While FA is a relatively safe
diagnostic test, it carries the risk of both minor and major side effects. These include
nausea and vomiting, yellowing of the skin and urine, vascular extravasation with skin
eruption and necrosis, vasovagal reactions, myocardial infarction, respiratory failure,
anaphylaxis, cardiopulmonary arrest, and death. Additionally, the test is time-consuming,
technically difficult to perform, and requires patients to undergo the discomfort associated
with intravenous access. Despite these drawbacks, FA is still commonly used in clinical
practice, as there are no existing alternative tests with the ability to provide comparable
detail of the retinal and choroidal vasculature.
Phase-variance optical coherence tomography is a novel, noninvasive, software-based
technology capable of generating angiographic images from the data gathered by standard OCT
scans. Preliminary research suggests it can produce high-definition representations of the
retinal and choroidal vasculature which may be more detailed than the images produced by FA.
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Observational Model: Cohort, Time Perspective: Prospective
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