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[青光眼的病情进展评估]

[Progression assessment of glaucoma].

作者信息

van Oterendorp Christian, Lommatzsch Claudia

机构信息

Klinik für Augenheilkunde, Universitätsmedizin Göttingen, Robert-Koch-Str. 40, 37075, Göttingen, Deutschland.

Augenzentrum am St. Franziskus-Hospital Münster, Hohenzollernring 74, 48145, Münster, Deutschland.

出版信息

Ophthalmologie. 2025 Sep 4. doi: 10.1007/s00347-025-02302-x.

Abstract

Progression monitoring is essential for glaucoma management. In addition to perimetry, optical coherence tomography (OCT) has become established as a valuable supplement. It provides morphological information on the retinal nerve fiber layer (RNFL), the neuroretinal rim and the density of retinal ganglion cells in the macula. Event-based and trend-based analyses can be used for the quantitative analysis of glaucoma progression. Various biomarkers have stage-dependent strengths and weaknesses and should be complementarily applied. The minimization of measurement errors is important for valid progression analyses. In the future other techniques and artificial intelligence (AI) could improve the progression analysis.

摘要

病情进展监测对于青光眼的管理至关重要。除了视野检查外,光学相干断层扫描(OCT)已成为一种有价值的补充手段。它提供了关于视网膜神经纤维层(RNFL)、神经视网膜边缘以及黄斑区视网膜神经节细胞密度的形态学信息。基于事件和基于趋势的分析可用于青光眼病情进展的定量分析。各种生物标志物具有阶段依赖性的优缺点,应互补应用。将测量误差降至最低对于有效的病情进展分析很重要。未来,其他技术和人工智能(AI)可能会改善病情进展分析。

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