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Updated: Jul 30, 2025

Retinal Vascular Reactivity as Assessed by Optical Coherence Tomography Angiography
Published on: March 26, 2020
Optical Coherence Tomography Angiography in Retinal Vascular Disorders
Charles Jit Teng Ong1, Mark Yu Zheng Wong1, Kai Xiong Cheong1
1Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 168751, Singapore.
Optical coherence tomography angiography (OCTA) offers a dye-free, non-invasive method for visualizing retinal vasculature, outperforming traditional fluorescein angiography. OCTA enhances understanding and management of retinal vascular disorders through detailed imaging and quantitative analysis.
Area of Science:
- Ophthalmology
- Medical Imaging
- Biomedical Engineering
Background:
- Traditional fluorescein angiography (FA) is a dye-based method for visualizing retinal vasculature.
- Retinal vascular disorders like diabetic retinopathy and occlusions require advanced imaging techniques.
- Optical coherence tomography angiography (OCTA) presents a newer, non-invasive alternative with depth resolution.
Purpose of the Study:
- To review the current literature on OCTA in common retinal vascular disorders.
- To highlight the advantages of OCTA over traditional angiography.
- To explore the role of OCTA in diagnosis, prognosis, and treatment guidance.
Main Methods:
- Review of existing scientific literature on OCTA and retinal vascular disorders.
- Analysis of OCTA's capabilities, including its dye-free nature and depth resolution.
- Examination of quantitative and qualitative OCTA metrics and their applications.
Main Results:
- OCTA provides detailed, layer-specific imaging of the retinal microvasculature.
- Automated quantitative metrics from OCTA aid in detecting pre-clinical changes and understanding disease.
- OCTA facilitates the development of imaging biomarkers for prognostication and treatment.
Conclusions:
- OCTA is a valuable, non-invasive tool for studying and managing retinal vascular disorders.
- Technological advancements in OCTA will further enhance its clinical utility.
- Integration of artificial intelligence, particularly deep learning, shows promise for refining OCTA analysis.
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