Ahn Seong Joon
Department of Ophthalmology, Hanyang University Hospital, Hanyang University College of Medicine, Seoul 04763, Republic of Korea.
Diagnostics (Basel). 2025 Mar 25;15(7):833. doi: 10.3390/diagnostics15070833.
Retinal thickness analysis using optical coherence tomography (OCT) has become an indispensable tool in retinal disease management, providing high-resolution quantitative data for diagnosis, monitoring, and treatment planning. This analysis has been found to be particularly useful for both diagnostic and monitoring purposes across a wide range of retinal diseases, enabling precise disease characterization and treatment evaluation. This paper explores its applications across major retinal conditions, including age-related macular degeneration, diabetic retinopathy, retinal vein occlusion, and inherited retinal diseases. Emerging roles in other diseases such as neurodegenerative diseases and retinal drug toxicity are also highlighted. Despite challenges such as variability in measurements, segmentation errors, and interpretation difficulties, advancements in artificial intelligence and machine learning have significantly improved accuracy and efficiency. The integration of retinal thickness analysis with telemedicine platforms and standardized protocols further underscores its potential in delivering personalized care and enabling the early detection of ocular and systemic diseases. Retinal thickness analysis continues to play a pivotal and growing role in both clinical practice and research, bridging the gap between ophthalmology and broader medical fields.
使用光学相干断层扫描（OCT）进行视网膜厚度分析已成为视网膜疾病管理中不可或缺的工具，为诊断、监测和治疗规划提供高分辨率定量数据。已发现这种分析对于广泛的视网膜疾病的诊断和监测目的都特别有用，能够实现精确的疾病特征描述和治疗评估。本文探讨了其在主要视网膜疾病中的应用，包括年龄相关性黄斑变性、糖尿病性视网膜病变、视网膜静脉阻塞和遗传性视网膜疾病。还强调了其在神经退行性疾病和视网膜药物毒性等其他疾病中的新兴作用。尽管存在测量变异性、分割误差和解释困难等挑战，但人工智能和机器学习的进步已显著提高了准确性和效率。视网膜厚度分析与远程医疗平台和标准化协议的整合进一步凸显了其在提供个性化护理以及实现眼部和全身性疾病早期检测方面的潜力。视网膜厚度分析在临床实践和研究中继续发挥关键且日益重要的作用，弥合了眼科与更广泛医学领域之间的差距。
