Department of Ophthalmology, Feinberg School of Medicine, Northwestern University, 645 N. Michigan Avenue, Suite 440, Chicago, IL, 60611, USA.
Curr Diab Rep. 2019 Aug 31;19(10):95. doi: 10.1007/s11892-019-1226-2.
Diabetic retinopathy (DR) is the leading cause of acquired vision loss in adults across the globe. Early identification and treatment of patients with DR is paramount for vision preservation. The aim of this review paper is to outline current and new imaging techniques and biomarkers that are valuable for clinical diagnosis and management of DR.
Ultrawide field imaging and automated deep learning algorithms are recent advancements on traditional fundus photography and fluorescein angiography. Optical coherence tomography (OCT) and OCT angiography are techniques that image retinal anatomy and vasculature and OCT is routinely used to monitor response to treatment. Many circulating, vitreous, and genetic biomarkers have been studied to facilitate disease detection and development of new treatments. Recent advancements in retinal imaging and identification of promising new biomarkers for DR have the potential to increase detection, risk stratification, and treatment for patients with DR.
糖尿病视网膜病变（DR）是全球成年人致盲的主要原因。早期发现和治疗 DR 患者对于保护视力至关重要。本文旨在概述当前和新的成像技术和生物标志物，这些技术和生物标志物对 DR 的临床诊断和管理具有重要价值。
超广角成像和自动化深度学习算法是传统眼底摄影和荧光素血管造影的最新进展。光学相干断层扫描（OCT）和 OCT 血管造影是用于成像视网膜解剖结构和血管的技术，OCT 通常用于监测治疗反应。许多循环、玻璃体内和遗传生物标志物已被研究用于促进疾病的检测和新疗法的开发。视网膜成像的最新进展和对 DR 有前途的新生物标志物的识别有可能提高 DR 患者的检出率、风险分层和治疗效果。
