Optical Coherence Tomography Angiography in Retinal Vascular Disorders

被引:17
作者
Ong, Charles Jit Teng [1 ]
Wong, Mark Yu Zheng [1 ]
Cheong, Kai Xiong [1 ]
Zhao, Jinzhi [1 ]
Teo, Kelvin Yi Chong [1 ,2 ]
Tan, Tien-En [1 ,2 ]
机构
[1] Singapore Natl Eye Ctr, Singapore Eye Res Inst, Singapore 168751, Singapore
[2] Duke NUS Med Sch, Ophthalmol & Visual Sci Acad Clin Program EYE ACP, Singapore 169857, Singapore
关键词
optical coherence tomography angiography; diabetic retinopathy; retinal vein occlusion; retinal artery occlusion; retinal vascular diseases; imaging modality; artificial intelligence; narrative review; FOVEAL AVASCULAR ZONE; DIABETIC MACULAR ISCHEMIA; VEIN OCCLUSION; FLUORESCEIN-ANGIOGRAPHY; OCT ANGIOGRAPHY; VESSEL DENSITY; MOTION CORRECTION; ULTRAHIGH-SPEED; VISUAL-ACUITY; RETINOPATHY;
D O I
10.3390/diagnostics13091620
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Traditionally, abnormalities of the retinal vasculature and perfusion in retinal vascular disorders, such as diabetic retinopathy and retinal vascular occlusions, have been visualized with dye-based fluorescein angiography (FA). Optical coherence tomography angiography (OCTA) is a newer, alternative modality for imaging the retinal vasculature, which has some advantages over FA, such as its dye-free, non-invasive nature, and depth resolution. The depth resolution of OCTA allows for characterization of the retinal microvasculature in distinct anatomic layers, and commercial OCTA platforms also provide automated quantitative vascular and perfusion metrics. Quantitative and qualitative OCTA analysis in various retinal vascular disorders has facilitated the detection of pre-clinical vascular changes, greater understanding of known clinical signs, and the development of imaging biomarkers to prognosticate and guide treatment. With further technological improvements, such as a greater field of view and better image quality processing algorithms, it is likely that OCTA will play an integral role in the study and management of retinal vascular disorders. Artificial intelligence methods-in particular, deep learning-show promise in refining the insights to be gained from the use of OCTA in retinal vascular disorders. This review aims to summarize the current literature on this imaging modality in relation to common retinal vascular disorders.
引用
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页数:20
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