Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, Iowa, United States.
Stephen A. Wynn Institute for Vision Research, University of Iowa, Iowa City, Iowa, United States.
Invest Ophthalmol Vis Sci. 2018 Jan 1;59(1):519-527. doi: 10.1167/iovs.17-21873.
The Early Treatment Diabetic Retinopathy Study (ETDRS) and other standardized classification schemes have laid a foundation for tremendous advances in the understanding and management of diabetic retinopathy (DR). However, technological advances in optics and image analysis, especially optical coherence tomography (OCT), OCT angiography (OCTa), and ultra-widefield imaging, as well as new discoveries in diabetic retinal neuropathy (DRN), are exposing the limitations of ETDRS and other classification systems to completely characterize retinal changes in diabetes, which we term diabetic retinal disease (DRD). While it may be most straightforward to add axes to existing classification schemes, as diabetic macular edema (DME) was added as an axis to earlier DR classifications, doing so may make these classifications increasingly complicated and thus clinically intractable. Therefore, we propose future research efforts to develop a new, comprehensive, and clinically useful classification system that will identify multimodal biomarkers to reflect the complex pathophysiology of DRD and accelerate the development of therapies to prevent vision-threatening DRD.
早期糖尿病视网膜病变研究 (ETDRS) 和其他标准化分类方案为理解和管理糖尿病视网膜病变 (DR) 奠定了基础。然而,光学和图像分析方面的技术进步,尤其是光学相干断层扫描 (OCT)、OCT 血管造影 (OCTa) 和超广角成像,以及糖尿病性视网膜神经病变 (DRN) 的新发现,暴露出 ETDRS 和其他分类系统的局限性,无法完全描述糖尿病患者的视网膜变化,我们称之为糖尿病性视网膜疾病 (DRD)。虽然在现有分类方案中添加轴是最简单的方法,就像将糖尿病性黄斑水肿 (DME) 添加为早期 DR 分类的一个轴一样,但这样做可能会使这些分类变得越来越复杂,从而在临床上难以处理。因此,我们建议未来的研究努力开发一种新的、全面的、临床有用的分类系统,该系统将确定多模态生物标志物,以反映 DRD 的复杂病理生理学,并加速开发治疗方法以预防威胁视力的 DRD。