ArticleInvestigative ophthalmology & visual science2025
Deep-Learning-Based Analysis of Disease-Specific Structural Biomarkers on Retinal Sensitivity in Neovascular Age-Related Macular Degeneration.
Article in Investigative ophthalmology & visual science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Choriocapillaris Flow-Enriched Prediction of Retinal Sensitivity Using OCT-Derived Biomarkers in Intermediate Age-Related Macular Degeneration.Journal of clinical medicine · 2026Article
- Longitudinal Tracking of Photoreceptor Integrity in Neovascular AMD: Early Restoration Predicts 24-Month Structural and Visual Outcomes.Investigative ophthalmology & visual science · 2026Article
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9 authors.
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Abstract
Purpose: To evaluate the impact of disease-specific biomarkers on pointwise sensitivity (PWS) in patients with active neovascular age-related macular degeneration (nAMD) using two microperimetry (MP) instruments. Methods: Participants in this prospective cross-sectional study underwent imaging with a SPECTRALIS HRA+OCT and MP with the photopic MP-3 (NIDEK) and mesopic MAIA (CenterVue). Pigment epithelium detachment (PED), intraretinal and subretinal fluid (IRF, SRF), ellipsoid zone loss (EZL), and subretinal hyperreflective material (SHRM) were quantified using deep learning (DL). DL enabled co-registration between the MP and optical coherence tomography (OCT). Univariate and multivariable mixed-effects models using variable selection including interaction terms were used to assess the effects of the biomarkers on PWS. Results: Twenty eyes of 20 subjects (mean age, 76.0 years) were included. Sensitivity in the MAIA was lower (-2.87 dB; 95% confidence interval [CI], -3.15 to -2.59) than in the MP-3. Significant interactions between EZL and SRF, EZL and IRF, and between EZL and eccentricity were observed. EZL significantly reduced PWS (-1.30 dB; 95% CI, -2.08 to -0.51) at 0° eccentricity with SRF of 0.15 nL and absent IRF. IRF presence further decreased PWS by -2.57 dB (95% CI, -3.66 to -1.47). SRF negatively impacted PWS (-2.08 dB/nL; 95% CI, -2.53 to -1.64), but showed no association when EZL was present (+0.05 dB/nL; 95% CI, -0.81 to 0.92). SHRM presence and PED volume reduced PWS by -5.13 dB (95% CI, -5.83 to -4.43) and -0.71 dB/nL (95% CI, -0.92 to -0.50), respectively. Eccentricity only impaired function in the presence of EZL (-0.49 dB/°; 95% CI, -0.61 to -0.37). Conclusions: DL-quantified biomarkers mostly had a negative impact on PWS in nAMD, particularly IRF and SHRM presence. The above-mentioned biomarkers should be considered when managing patients with nAMD and using MP in trials and clinical settings.
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