Deep Learning Approaches to Predict Geographic Atrophy Progression Using Three-Dimensional OCT Imaging

Translational Vision Science & Technology, Journal Year: 2025, Volume and Issue: 14(2), P. 11 - 11

Published: Feb. 6, 2025

Purpose: To evaluate the performance of various approaches processing three-dimensional (3D) optical coherence tomography (OCT) images for deep learning models in predicting area and future growth rate geographic atrophy (GA) lesions caused by age-related macular degeneration (AMD). Methods: The study used OCT volumes GA patients/eyes from lampalizumab clinical trials (NCT02247479, NCT02247531, NCT02479386); 1219 442 eyes model development holdout evaluation, respectively. Four were evaluated: (1) en-face intensity maps; (2) SLIVER-net; (3) a 3D convolutional neural network (CNN); (4) layer thickness between-layer maps segmentation model. processed served as input CNN to predict baseline lesion size annualized rate. Results: For dataset, Pearson correlation coefficient squared (r2) prediction was comparable all evaluated (0.33∼0.35). In prediction, (0.9∼0.91) except SLIVER-net (0.83). Prediction with only map ellipsoid zone (EZ) or retinal pigment epithelium (RPE) individually inferior using both. Addition other did not improve performance. Conclusions: All explored had performance, which might have reached plateau EZ RPE layers appear contain majority information related prediction. Translational Relevance: Our provides important insights on utility disease progression predictions.

Language: Английский

Immunogenetic and Environmental Factors in Age-Related Macular Disease

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(12), P. 6567 - 6567

Published: June 14, 2024

Age-related macular degeneration (AMD) is a chronic disease, which often develops in older people, but this not the rule. AMD pathogenesis changes include anatomical and functional complex. As result of damage, it occurs, retina macula, among other areas. These may lead to partial or total loss vision. This disease can occur two clinical forms, i.e., dry (progression slowly gradually) exudative (wet, progression acute severe), usually started as form. A coexistence both forms possible. etiology fully understood. Extensive genetic studies have shown that multifactorial determinants, along with environmental metabolic-functional factors, are important risk factors. article reviews impact heavy metals, macro- microelements, factors on development AMD. We present current state knowledge about influence determinants confrontation our own research conducted Polish population from Kuyavian-Pomeranian Lubusz Regions. Our concentrated showing how polluted environments large agglomerations affects In addition confirming metal accumulation, growth phase polymorphism material development, will also help detection new markers disease. better understanding establish prevention early treatment.

Language: Английский

Vascular changes in optical coherence tomography angiography unveiling the depths of dry age-related macular degeneration: a review

Expert Review of Medical Devices, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 15

Published: Oct. 25, 2024

Introduction Recent advancements in imaging techniques, particularly optical coherence tomography angiography (OCTA), have transformed our understanding of retinal microvascular changes various ocular diseases, including dry age-related macular degeneration (AMD). Our literature review summarizes key findings on vascular alterations AMD as observed with OCTA, highlighting their implications for disease progression and management.

Language: Английский