糖尿病性视网膜病变
背景(考古学)
医学
光学相干层析成像
疾病
失明
重症监护医学
人工智能
糖尿病
计算机科学
验光服务
病理
眼科
生物
内分泌学
古生物学
作者
Zhengwei Yang,Tien‐En Tan,Yan Shao,Tien Yin Wong,Xiaorong Li
标识
DOI:10.3389/fendo.2022.1079217
摘要
Diabetic retinopathy (DR) is a leading cause of visual impairment and blindness worldwide. Since DR was first recognized as an important complication of diabetes, there have been many attempts to accurately classify the severity and stages of disease. These historical classification systems evolved as understanding of disease pathophysiology improved, methods of imaging and assessing DR changed, and effective treatments were developed. Current DR classification systems are effective, and have been the basis of major research trials and clinical management guidelines for decades. However, with further new developments such as recognition of diabetic retinal neurodegeneration, new imaging platforms such as optical coherence tomography and ultra wide-field retinal imaging, artificial intelligence and new treatments, our current classification systems have significant limitations that need to be addressed. In this paper, we provide a historical review of different classification systems for DR, and discuss the limitations of our current classification systems in the context of new developments. We also review the implications of new developments in the field, to see how they might feature in a future, updated classification.
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