Pearls and pitfalls of optical coherence tomography angiography in the multimodal evaluation of uveitis

被引:52
|
作者
Pichi F. [1 ,2 ]
Sarraf D. [3 ,4 ]
Morara M. [5 ]
Mazumdar S. [6 ]
Neri P. [7 ]
Gupta V. [8 ]
机构
[1] Eye Institute, Cleveland Clinic Abu Dhabi, Al Maryah Island, PO Box 112412, Abu Dhabi
[2] Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland
[3] Stein Eye Institute, University of California, Los Angeles, Los Angeles, CA
[4] Greater Los Angeles VA Healthcare Center, Los Angeles, CA
[5] Eye Clinic, Policlinico Sant’Orsola-Malpighi, Bologna
[6] ICARE eye hospital and Post Graduate Institute, Noida
[7] The Ocular Immunology Service, The Eye Clinic, Polytechnic University of Marche, Ancona
[8] Advanced Eye Centre, Post Graduate Institute of Medical Education and Research, Chandigarh
关键词
Fluorescein angiography; Indocyanine green angiography; Optical coherence tomography angiography; Uveitis;
D O I
10.1186/s12348-017-0138-z
中图分类号
学科分类号
摘要
Background: Optical coherence tomography angiography (OCTA) employs a novel imaging algorithm that detects the amplitude or phase decorrelation of blood cell movement. It thus provides a flow map with depth-resolved visualization of the various vascular layers in the posterior pole of the eye including the retina capillary plexus and the choroid. In the past 3 years, the number of research papers on the subject of OCTA in retinal diseases has grown exponentially including important applications in the field of uveitis. While the study of OCTA in uveitic diseases has gained remarkable relevance worldwide, interpretation can be challenging, and many limitations exist in optimally using this advanced system in uveitic eyes. The aim of this review is to describe the many significant applications of OCTA in uveitis disorders and to outline the various limitations that can confound interpretation and support uveitis specialists in the integration of OCTA in the multimodal imaging approach to inflammatory diseases. Main body: Unlike conventional angiography that can dynamically detect inflammation and leakage of dye from retinal vessels, OCTA provides other important biomarkers of inflammation. Detailed microvascular reconstruction of normal and abnormal blood vessels and quantitative evaluation are advantages of OCTA analysis. OCTA can therefore non-invasively detect choroidal neovascularization that may complicate inflammatory disorders, and with remarkable depth-resolved capability, OCTA can identify and quantitate flow loss as a manifestation of ischemia and/or inflammation. The areas of flow deficit on OCTA at the level of the inner choroid often co-localize with hypofluorescent lesions with indocyanine green angiography. These regions of presumed choriocapillaris ischemia may occur in placoid disorders. Space-occupying granulomas may occur in disorders such as sarcoid and may or may not co-localize with choriocapillaris ischemia on ICG angiography. Blocking or shadowing artifacts should be excluded when evaluating inner choroidal abnormalities with OCT angiography. Fundus autofluorescence may assess the metabolic function of the retinal pigment epithelium (RPE) and the viability of the overlying photoreceptors and thus the activity of inflammation associated with uveitic lesions. The photoreceptors are physiologically maintained by the diffusion of oxygen from the choriocapillaris below and, to a lesser extent, from the deep retinal capillary plexus above. The depth-resolved capability of OCTA may therefore provide additional significant microvascular information about these vascular layers that may be driving the development of hyper-autofluorescent RPE inflammation and photoreceptor loss. Conclusions: The implementation of OCTA in the evaluation and management of uveitis disorders is being spurred by our greater knowledge and understanding of its application. In order to take full advantage of this exciting new imaging modality, however, uveitis specialists must understand the limitations of interpretation and potential artifact-related pitfalls in assessment and should continue to support evaluation with multimodal imaging to best optimize diagnoses and treatment of inflammatory diseases. © 2017, The Author(s).
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