4.6 Article

OCT Angiography Features of Neovascularization as Predictive Factors for Frequent Recurrence in Age-Related Macular Degeneration

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AMERICAN JOURNAL OF OPHTHALMOLOGY
卷 213, 期 -, 页码 109-119

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ELSEVIER SCIENCE INC
DOI: 10.1016/j.ajo.2020.01.012

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PURPOSE: To investigate the features of neovascularization (NV) in eyes with neovascular age-related macular degeneration using optical coherence tomography angiography (OCTA) according to the treatment interval of intravitreal aflibercept injection (IVI). DESIGN: Retrospective, interventional, comparative case series. METHODS: Patients with type 1 NV treated with the pro re nata regimen after 3 loading IVI were classified into 2 groups based on the numbers of treatments during 12 months, specifically a stable group who required fewer than 2 injections and an unstable group who required more than 3 injections. Quantitative features of OCTA including NV area, NV length, NV density, endpoint density (open-ended vessels per unit length), junction density (vessel junction per unit length), lacunarity, and largest vessel caliber were compared between the 2 groups. RESULTS: Among 71 eyes, 38 and 33 eyes were classified into the stable and unstable groups, respectively. The unstable group had higher endpoint densities (stable vs unstable: 2.72 vs 3.18; P = .03) and higher levels of lacunarity (0.177 vs 0.211; P = .028). The area, density, length of NV, junction density, and largest vessel caliber were not different between the 2 groups (P = .057, P = .184, P = .062, P = .160, and P = .473, respectively). Endpoint density was correlated with the unstable group in both univariate and multivariate analyses (P = .004, P = .002, respectively). A predictive model with an endpoint index demonstrated a sensitivity of 93.75% and a negative predictive value of 89.47% for the unstable group. CONCLUSIONS: The characteristics of NV in eyes of exudative age-related macular degeneration with type 1 NV were different according to treatment requirements. Identifying the features of NV on OCTA might be helpful for predicting clinical outcomes and optimal treatment intervals. (C) 2020 Elsevier Inc. All rights reserved.

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