光学相干层析成像
糖尿病性视网膜病变
医学
光学相干断层摄影术
眼科
血管造影
糖尿病
放射科
内分泌学
作者
Qing Zhang,Di Gong,Manman Huang,Zhentao Zhu,Weihua Yang,Guansheng Ma
标识
DOI:10.3389/fendo.2025.1438739
摘要
Introduction Optical coherence tomography angiography (OCTA), a noninvasive imaging technique, is increasingly used in managing ophthalmic diseases like diabetic retinopathy (DR). This review examines OCTA’s imaging principles, its utility in detecting DR lesions, and its diagnostic advantages over fundus fluorescein angiography (FFA). Methods We systematically analyzed 75 articles (2015–2024) from the Web of Science Core Collection, focusing on OCTA’s technical principles, clinical applications in DR diagnosis, and its use in diabetes mellitus (DM) without DR and prediabetes. The use of artificial intelligence (AI) in OCTA image analysis for DR severity evaluation was investigated. Results OCTA effectively identifies DR lesions and detects early vascular abnormalities in DM and prediabetes, surpassing FFA in noninvasiveness and resolution. AI integration enhances OCTA’s capability to diagnose, evaluate, and predict DR progression. Discussion OCTA offers significant clinical value in early DR detection and monitoring. Its synergy with AI holds promise for refining diagnostic precision and expanding predictive applications, positioning OCTA as a transformative tool in future ophthalmic practice.
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