Creating a Multimodal Eye Disease Database Using Advanced Imaging Focusing on Inflammatory and Retinal Conditions

What this Trial Is About

Researchers are conducting an observational study to explore the links between common blinding retinal diseases like diabetic retinopathy, pathological myopia, and age-related macular degeneration, and changes in the fine structures of the front part of the eye. The study aims to understand these connections deeply by collecting detailed data using advanced imaging technologies. The goal is to build a comprehensive eye image database that could help identify early warning signs and support future AI-assisted diagnosis and treatment models. Participants will undergo multimodal imaging of both the eye surface and the retina using technologies such as Ultra-Widefield fundus photography, OCTOCTA, adaptive optics scanning laser ophthalmoscopy, corneal confocal microscopy, and tests assessing meibomian gland function, corneal sensitivity, and tear film function. Participants will be grouped based on inflammatory-related ocular diseases or non-inflammatory-related ocular diseases, with data collected at baseline and within 30 days post-examination. During the study, participants will have their eye condition assessed through multiple measures including tear break-up time, dry eye questionnaires, blink rate, lipid layer thickness, and tear meniscus height, along with retinal thickness and fluid presence. Medical records and follow-up information will be collected to support analyses. The study will monitor these parameters carefully to build a standardized database to aid diagnostics. Participation may last up to several months depending on follow-up availability.

Establishment of a Multimodal Standard Database for Inflammation-related Ophthalmopathy