Recent advances and applications of optical coherence tomography angiography in diabetic retinopathy

被引:0
作者
Zhang, Qing [1 ,2 ]
Gong, Di [3 ]
Huang, Manman [4 ]
Zhu, Zhentao [5 ]
Yang, Weihua [3 ]
Ma, Gaoen [1 ,2 ]
机构
[1] Xinxiang Med Univ, Affiliated Hosp 3, Dept Ophthalmol, Xinxiang, Henan, Peoples R China
[2] Hainan Med Univ, Affiliated Hosp 1, Dept Ophthalmol, Haikou, Hainan, Peoples R China
[3] Southern Med Univ, Shenzhen Eye Hosp, Shenzhen Eye Med Ctr, Shenzhen, Guangdong, Peoples R China
[4] Zhengzhou Univ, Henan Eye Hosp,Peoples Hosp, Henan Prov Peoples Hosp, Henan Eye Inst, Zhengzhou, Henan, Peoples R China
[5] Huaian Hosp Huaian City, Dept Ophthalmol, Huaian, Jiangsu, Peoples R China
关键词
optical coherence tomography angiography; diabetic retinopathy; grading; lesion recognition; artificial intelligence; FOVEAL AVASCULAR ZONE; FLUORESCEIN ANGIOGRAPHY; VASCULAR LAYERS; MACULAR EDEMA; EYES; NEOVASCULARIZATION; RETINA; VALIDATION; MANAGEMENT; MELLITUS;
D O I
10.3389/fendo.2025.1438739
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
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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页数:14
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