[Progression assessment for geographic atrophy].

IF 0.6
Die Ophthalmologie Pub Date : 2025-10-01 Epub Date: 2025-09-12 DOI:10.1007/s00347-025-02318-3
Anna Sophia Jauch, Marlene Saßmannshausen, Petrus Chang, Leon von der Emde, Maximilian Pfau, Frank G Holz, Thomas Ach
{"title":"[Progression assessment for geographic atrophy].","authors":"Anna Sophia Jauch, Marlene Saßmannshausen, Petrus Chang, Leon von der Emde, Maximilian Pfau, Frank G Holz, Thomas Ach","doi":"10.1007/s00347-025-02318-3","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":72808,"journal":{"name":"Die Ophthalmologie","volume":" ","pages":"773-781"},"PeriodicalIF":0.6000,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Die Ophthalmologie","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s00347-025-02318-3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/9/12 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

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.

[地理萎缩的进展评估]。
除了黄斑新生血管(MNV)的发展,地理萎缩(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。标准化和精确量化GA区域,主要基于眼底自身荧光和光学相干断层扫描(OCT)成像,对进展监测很重要。各种因素,如中央凹受累、病变位置、GA的病灶和病灶周围的自身荧光模式在GA进展的评估中发挥重要作用。基于人工智能(AI)的自动化分析技术正在出现在疾病进展的检测、评估、量化和预测中。由于目前尚无GA的因果治疗方法,因此测量GA的进展变得越来越重要,以便监测目前使用补体抑制剂的治疗方案,并在研究中测试减缓疾病进程的新治疗方法。基于结构和功能退化参数的进展分析可以优化患者的咨询,治疗决策和患者监测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信