Classification of diabetic retinopathy: Past, present and future

被引:65
作者
Yang, Zhengwei [1 ,2 ]
Tan, Tien-En [3 ,4 ]
Shao, Yan [1 ,2 ]
Wong, Tien Yin [3 ,4 ,5 ]
Li, Xiaorong [1 ,2 ]
机构
[1] Tianjin Med Univ, Eye Inst, Natl Clin Res Ctr Ocular Dis, Tianjin Key Lab Retinal Funct & Dis,Tianjin Branch, Tianjin, Peoples R China
[2] Tianjin Med Univ Eye Hosp, Sch Optometry, Eye Hosp, Tianjin, Peoples R China
[3] Singapore Natl Eye Ctr, Singapore Eye Res Inst, Singapore, Singapore
[4] Duke Natl Univ, Singapore Med Sch, Singapore, Singapore
[5] Tsinghua Univ, Tsinghua Med, Beijing, Peoples R China
来源
FRONTIERS IN ENDOCRINOLOGY | 2022年 / 13卷
关键词
diabetic retinopathy; classification; severity staging system; pathophysiology; imaging technology; artificial intelligence; deep learning; quantitative assessment; COHERENCE TOMOGRAPHY ANGIOGRAPHY; ENDOTHELIAL GROWTH-FACTOR; MACULAR EDEMA; RISK-FACTORS; ANGIOGENIC PATHWAYS; GLOBAL PREVALENCE; 14-YEAR INCIDENCE; 10-YEAR INCIDENCE; EARLY EVENT; VISUAL-LOSS;
D O I
10.3389/fendo.2022.1079217
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
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.
引用
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页数:18
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