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[地图样萎缩的进展评估]

[Progression assessment for geographic atrophy].

作者信息

Jauch Anna Sophia, Saßmannshausen Marlene, Chang Petrus, von der Emde Leon, Pfau Maximilian, Holz Frank G, Ach Thomas

机构信息

Augenklinik, Universitätsklinikum Bonn, Venusberg-Campus 1, 53127, Bonn, Deutschland.

出版信息

Ophthalmologie. 2025 Sep 12. doi: 10.1007/s00347-025-02318-3.

Abstract

In addition to the development of macular neovascularization (MNV), geographic atrophy (GA) is one of the late stages of age-related macular degeneration (AMD) and can lead to irreversible severe visual impairment. Standardized and precise quantification of GA areas, based primarily on fundus autofluorescence and optical coherence tomography (OCT) imaging, is important for progression monitoring. Various factors such as foveal involvement, lesion location, focality of GA and perilesional autofluorescence patterns play an important role in the assessment of GA progression. Automated analytical techniques based on artificial intelligence (AI) are emerging in the detection, assessment, quantification and prediction of disease progression. As there is currently no causal therapy for GA, measuring progression in GA is becoming increasingly more important in order to monitor current treatment options with complement inhibitors and to test in studies novel therapeutic approaches to slow down the course of the disease. A progression analysis based on structural and functional degeneration parameters could optimize the counselling of patients, treatment decisions and patient monitoring in the future.

摘要

除黄斑新生血管形成(MNV)外,地图样萎缩(GA)是年龄相关性黄斑变性(AMD)的晚期阶段之一,可导致不可逆的严重视力损害。主要基于眼底自发荧光和光学相干断层扫描(OCT)成像对GA区域进行标准化和精确量化,对于病情进展监测至关重要。诸如黄斑中心凹受累、病变位置、GA的局灶性以及病变周围自发荧光模式等各种因素在GA进展评估中起着重要作用。基于人工智能(AI)的自动化分析技术正在疾病进展的检测、评估、量化和预测中崭露头角。由于目前尚无针对GA的因果治疗方法,因此测量GA的进展对于监测目前使用补体抑制剂的治疗方案以及在研究中测试减缓疾病进程的新型治疗方法变得越来越重要。基于结构和功能退化参数的进展分析未来可能会优化患者咨询、治疗决策和患者监测。

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