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PURPOSE: This study aims to quantify the volume of intraretinal fluid (IRF), subretinal fluid (SRF), and sub-retinal pigment epithelium (sub-RPE) fluid in treatment-naïve Type 3 macular neovascularization (MNV) eyes with age-related macular degeneration (AMD) and to investigate the correlation of these fluid volumes with visual acuity (VA) outcomes at baseline and following anti-vascular endothelial growth factor (VEGF) treatment. DESIGN: Retrospective, clinical cohort study. METHODS: In this study, we analyzed patients diagnosed with exudative AMD and treatment-naïve Type 3 MNV undergoing a loading dose of anti-VEGF therapy. Using a validated deep-learning segmentation strategy, we processed optical coherence tomography (OCT) B-scans to segment and quantify IRF (i.e., both in the inner and outer retina), SRF, and sub-RPE fluid volumes at baseline. The study correlated baseline fluid volumes with baseline and short-term VA outcomes post-loading dose of anti-VEGF injections. RESULTS: Forty-six eyes from 46 patients were included in this study. Visual acuity was 0.51±0.30 LogMAR at baseline and 0.33±0.20 LogMAR after the loading dose of anti-VEGF (p=0.001). Visual acuity at the follow-up visit was 0.40±0.17 LogMAR in patients with no complete resolution of retinal fluid and 0.31±0.20 LogMAR in eyes without retinal fluid after treatment (P=0.225). In the multivariable analysis, the IRF volume in the inner retina (P=0.032) and the distance of the MNV from the fovea (P=0.037) were predictors of visual acuity at baseline. The baseline IRF volume in the inner retina also predicted the visual acuity at follow-up (p=0.023). CONCLUSION: The present study highlights the fluid volume in the inner retina as a crucial predictor of short-term visual outcomes in Type 3 MNV, underscoring the detrimental effect of IRF on neuroretinal structures.
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BACKGROUND: Recent advancements in imaging technologies, particularly structural optical coherence tomography (OCT), have improved the understanding of diabetic macular edema (DME) pathophysiology and provided valuable biomarkers for disease progression and visual outcomes. This prospective study aimed to investigate the association between specific retinal biomarkers identified through OCT imaging and reading performance metrics in patients with previously treated persistent versus resolved DME and good visual acuity. METHODS: Forty-nine eyes from 35 patients with a history of DME were enrolled. Reading performance was assessed using the Radner reading charts, which include standardized sentences with geometrically progressing print sizes. Structural alterations in the inner and outer retina, as well as the retinal pigment epithelium (RPE), were graded based on OCT images. RESULTS: Reading performance, measured as maximum reading speed, was associated with specific retinal biomarkers. The disruption of the ellipsoid zone (EZ) in the parafoveal region and the presence of disorganization of the inner retinal layers (DRIL) in the parafovea were correlated with reduced reading speed. These associations were independent of the presence of intraretinal or subretinal fluid. CONCLUSIONS: Understanding the relationship between retinal biomarkers and reading performance could contribute to a comprehensive evaluation of visual function and quality of life in patients with DME, leading to better management strategies and treatment outcomes.
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Glaucoma is a multifactorial neurodegenerative illness requiring early diagnosis and strict monitoring of the disease progression. Current exams for diagnosis and prognosis are based on clinical examination, intraocular pressure (IOP) measurements, visual field tests, and optical coherence tomography (OCT). In this scenario, there is a critical unmet demand for glaucoma-related biomarkers to enhance clinical testing for early diagnosis and tracking of the disease's development. The introduction of validated biomarkers would allow for prompt intervention in the clinic to help with prognosis prediction and treatment response monitoring. This review aims to report the latest acquisitions on biomarkers in glaucoma, from imaging analysis to genetics and metabolic markers.