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In this retrospective case series on neovascular age-related macular degeneration (nAMD), we aimed to improve Choroidal Neovascularization (CNV) visualization in Optical Coherence Tomography Angiography (OCTA) scans by addressing segmentation errors. Out of 198 eyes, 73 OCTA scans required manual segmentation correction. We compared uncorrected scans to those with minimal (2 corrections), moderate (10 corrections), and detailed (50 corrections) efforts targeting falsely segmented Bruch's Membrane (BM). Results showed that 55% of corrected OCTAs exhibited improved quality after manual correction. Notably, minimal correction (2 scans) already led to significant improvements, with additional corrections (10 or 50) not further enhancing expert grading. Reduced background noise and improved CNV identification were observed, with the most substantial improvement after two corrections compared to baseline uncorrected images. In conclusion, our approach of correcting segmentation errors effectively enhances image quality in OCTA scans of nAMD. This study demonstrates the efficacy of the method, with 55% of resegmented OCTA images exhibiting enhanced quality, leading to a notable increase in the proportion of high-quality images from 63 to 83%.

Background and Objective: The purpose of this study was to analyze the safety and efficacy of combined intravitreal anti-vascular endothelial growth factor (anti-VEGF) and steroid therapeutic agents for resistant choroidal neovascularization (CNV). A retrospective observational clinical study was performed assessing anatomic and visual changes in a consecutive cohort of patients with refractory chronic wet age-related macular degeneration resistant to high-dose aflibercept therapy., Patients and Methods: Twelve eyes of 12 patients with unresponsive CNV despite aggressive monthly anti-VEGF (4-mg aflibercept [mean: 43.75 ± SD23.08]) were included. Combination consisted of simultaneous administration of anti-VEGF and corticosteroids. Study measures evaluated visual acuity, central retinal thickness (CRT), and intraocular pressure., Results: Paired tests revealed significant CRT reduction from the baseline at the 1-month (388.58 ± 89.31 versus 334.00 ± 92.88, P = 0.0117), 2-month (388.58 ± 89.31 versus 312.08 ± 75.61, P = 0.0185), and 3-month (388.53 ± 89.31 versus 304.56 ± 53.28, P = 0.046) visit. The Kaplan-Meier curve showed a median time of remission (no retinal fluid) of 70 days (95% CI 53, 147 days)., Conclusion: Combination treatment demonstrated clear anatomic improvement in eyes with anti-VEGF-resistant CNV. [ Ophthalmic Surg Lasers Imaging Retina 2024;55:XX-XX.] .

Age-related Macular Degeneration (AMD) is a degenerative eye disease that causes central vision loss. Optical Coherence Tomography Angiography (OCTA) is an emerging imaging modality that aids in the diagnosis of AMD by displaying the pathogenic vessels in the subretinal space. In this paper, we investigate the effectiveness of OCTA from the view of deep classifiers. To the best of our knowledge, this is the first study that solely uses OCTA for AMD stage grading. By developing a 2D classifier based on OCTA projections, we identify that segmentation errors in retinal layers significantly affect the accuracy of classification. To address this issue, we propose analyzing 3D OCTA volumes directly using a 2D convolutional neural network trained with additional projection supervision. Our experimental results show that we achieve over 80% accuracy on a four-stage grading task on both error-free and error-prone test sets, which is significantly higher than 60%, the accuracy of human experts. This demonstrates that OCTA provides sufficient information for AMD stage grading and the proposed 3D volume analyzer is more robust when dealing with OCTA data with segmentation errors.