{"title":"[Progression assessment of glaucoma].","authors":"Christian van Oterendorp, Claudia Lommatzsch","doi":"10.1007/s00347-025-02302-x","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":72808,"journal":{"name":"Die Ophthalmologie","volume":" ","pages":"795-802"},"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/s00347-025-02302-x","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/9/4 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.