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BACKGROUND: Geographic atrophy (GA) is an advanced, irreversible, and progressive form of age-related macular degeneration (AMD). Structural optical coherence tomography (OCT) and OCT angiography (OCTA) have been largely used to characterize this stage of AMD and, more importantly, to define biomarkers associated with the development and progression of GA in AMD. METHODS: Articles pertaining to OCT and OCTA biomarkers related to the development and progression of GA with relevant key words were used to search in PubMed, Researchgate, and Google Scholar. The articles were selected based on their relevance, reliability, publication year, published journal, and accessibility. RESULTS: Previous reports have highlighted various OCT and OCTA biomarkers linked to the onset and advancement of GA. These biomarkers encompass characteristics such as the size, volume, and subtype of drusen, the presence of hyperreflective foci, basal laminar deposits, incomplete retinal pigment epithelium and outer retinal atrophy (iRORA), persistent choroidal hypertransmission defects, and the existence of subretinal drusenoid deposits (also referred to as reticular pseudodrusen). Moreover, biomarkers associated with the progression of GA include thinning of the outer retina, photoreceptor degradation, the distance between retinal pigment epithelium and Bruch's membrane, and choriocapillaris loss. CONCLUSION: The advent of novel treatment strategies for GA underscores the heightened need for prompt diagnosis and precise monitoring of individuals with this condition. The utilization of structural OCT and OCTA becomes essential for identifying distinct biomarkers associated with the initiation and progression of GA.
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Background and objectives: Age-related macular degeneration (AMD) is a complex and multifactorial condition that can lead to permanent vision loss once it progresses to the neovascular exudative stage. This review aims to summarize the use of deep learning in neovascular AMD. Materials and Methods: Pubmed search. Results: Deep learning has demonstrated effectiveness in analyzing structural OCT images in patients with neovascular AMD. This review outlines the role of deep learning in identifying and measuring biomarkers linked to an elevated risk of transitioning to the neovascular form of AMD. Additionally, deep learning techniques can quantify critical OCT features associated with neovascular AMD, which have prognostic implications for these patients. Incorporating deep learning into the assessment of neovascular AMD eyes holds promise for enhancing clinical management strategies for affected individuals. Conclusion: Several studies have demonstrated effectiveness of deep learning in assessing neovascular AMD patients and this has a promising role in the assessment of these patients.
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Aprendizado Profundo , Degeneração Macular , Tomografia de Coerência Óptica , Humanos , Tomografia de Coerência Óptica/métodosRESUMO
PURPOSE: To report clinical and imaging features of optic nerve and retinal involvement in a patient with mucopolysaccharidosis (MPS) type II B. METHODS: A 27-year-old man, diagnosed with MPS type II B and undergoing enzymatic substitution therapy for the past 19 years, was referred to the retina service. An ophthalmological evaluation, which included multimodal imaging, was conducted to investigate potential retinal and optic disc involvement. RESULTS: The eye examination revealed a pigmentary retinopathy with a predominant loss of the outer retinal loss, primarily in the parafoveal and perifoveal regions. Notably, multimodal imaging identified macular edema without any signs of leakage, implying an association between macular edema and retinal neurodegeneration. Additionally, both eyes exhibited an optic disc with blurred margins. CONCLUSION: We herein describe the multimodal imaging findings of retinal and optic disc involvement in a patient with MPS type II B. This report describes for the first-time the presence of macular edema without leakage alongside photoreceptor damage and optic disc swelling.
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A 28-year-old man presented with decreased visual acuity in his right eye for the past 2 weeks. Examination revealed dilated and tortuous veins, Roth spots, and white intraretinal agglomerates. What would you do next?