{"title":"光学相干断层扫描诊断视神经头青光眼-布鲁赫膜开口及衍生OCT参数的意义。","authors":"Philip Enders","doi":"10.1055/a-2558-8721","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>With the introduction of optical coherence tomography (OCT) in glaucoma imaging, the neuroretinal tissue of the retina and optic nerve head can be measured and quantified at different measuring points, much more accurately than with previous imaging techniques. In addition to macular parameters such as the macular and peripapillary thickness of the retinal nerve fibre thickness and the macular ganglion cell layer thickness, parameters close to the papillary were also defined, as based on the Bruch's membrane opening (BMO), and examined with regard to their suitability for glaucoma diagnostics. This overview presents the advantages and disadvantages of these parameters in glaucoma diagnostics.</p><p><strong>Materials and methods: </strong>Review of current literature in PubMed as well as synopsis of relevant guidelines.</p><p><strong>Results and conclusion: </strong>The minimum marginal width of the Bruch's membrane opening (BMO-MRW) is the most frequently used OCT parameter for measuring the neuroretinal marginal width of the optic nerve head. There are also area parameters. Compared to peripapillary RNFL thickness and macular parameters, BMO-MRW has equivalent to superior sensitivity in glaucoma detection. In the longitudinal view, effects such as changes in the eye pressure level lead to fluctuations in BMO-MRW, which limits the usefulness of this parameter with regard to morphometric progression analysis. Numerous studies have shown that peripapillary nerve fibre layer thickness (pRNFL) is better suited for progression analysis. Checking the automatic segmentation of OCT images is relevant for all OCT parameters in glaucoma diagnostics.</p>","PeriodicalId":17904,"journal":{"name":"Klinische Monatsblatter fur Augenheilkunde","volume":"242 7","pages":"718-725"},"PeriodicalIF":0.7000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Glaucoma Diagnosis of the Optic Nerve Head Using Optical Coherence Tomography - Significance of Bruch's Membrane Opening and Derived OCT Parameters.\",\"authors\":\"Philip Enders\",\"doi\":\"10.1055/a-2558-8721\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>With the introduction of optical coherence tomography (OCT) in glaucoma imaging, the neuroretinal tissue of the retina and optic nerve head can be measured and quantified at different measuring points, much more accurately than with previous imaging techniques. In addition to macular parameters such as the macular and peripapillary thickness of the retinal nerve fibre thickness and the macular ganglion cell layer thickness, parameters close to the papillary were also defined, as based on the Bruch's membrane opening (BMO), and examined with regard to their suitability for glaucoma diagnostics. This overview presents the advantages and disadvantages of these parameters in glaucoma diagnostics.</p><p><strong>Materials and methods: </strong>Review of current literature in PubMed as well as synopsis of relevant guidelines.</p><p><strong>Results and conclusion: </strong>The minimum marginal width of the Bruch's membrane opening (BMO-MRW) is the most frequently used OCT parameter for measuring the neuroretinal marginal width of the optic nerve head. There are also area parameters. Compared to peripapillary RNFL thickness and macular parameters, BMO-MRW has equivalent to superior sensitivity in glaucoma detection. In the longitudinal view, effects such as changes in the eye pressure level lead to fluctuations in BMO-MRW, which limits the usefulness of this parameter with regard to morphometric progression analysis. Numerous studies have shown that peripapillary nerve fibre layer thickness (pRNFL) is better suited for progression analysis. 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引用次数: 0
摘要
背景:随着光学相干断层扫描(OCT)在青光眼成像中的应用,可以在不同的测量点对视网膜和视神经头的神经视网膜组织进行测量和量化,比以往的成像技术更准确。除了黄斑参数如黄斑和乳头周围厚度、视网膜神经纤维厚度和黄斑神经节细胞层厚度外,还根据Bruch膜开口(BMO)定义了接近乳头的参数,并检查了它们对青光眼诊断的适用性。本文概述了这些参数在青光眼诊断中的优点和缺点。材料与方法:PubMed文献综述及相关指南摘要。结果与结论:Bruch膜开口最小边缘宽度(minimum marginal width of The Bruch’s membrane opening, BMO-MRW)是测量视神经头神经视网膜边缘宽度最常用的OCT参数。还有区域参数。与乳头周围RNFL厚度和黄斑参数相比,BMO-MRW在青光眼检测方面具有同等的优越敏感性。从纵向角度来看,眼压水平的变化等影响会导致BMO-MRW的波动,这限制了该参数在形态计量学进展分析中的实用性。大量研究表明,乳头周围神经纤维层厚度(pRNFL)更适合于进展分析。检查OCT图像的自动分割对青光眼诊断中的所有OCT参数都有重要意义。
Glaucoma Diagnosis of the Optic Nerve Head Using Optical Coherence Tomography - Significance of Bruch's Membrane Opening and Derived OCT Parameters.
Background: With the introduction of optical coherence tomography (OCT) in glaucoma imaging, the neuroretinal tissue of the retina and optic nerve head can be measured and quantified at different measuring points, much more accurately than with previous imaging techniques. In addition to macular parameters such as the macular and peripapillary thickness of the retinal nerve fibre thickness and the macular ganglion cell layer thickness, parameters close to the papillary were also defined, as based on the Bruch's membrane opening (BMO), and examined with regard to their suitability for glaucoma diagnostics. This overview presents the advantages and disadvantages of these parameters in glaucoma diagnostics.
Materials and methods: Review of current literature in PubMed as well as synopsis of relevant guidelines.
Results and conclusion: The minimum marginal width of the Bruch's membrane opening (BMO-MRW) is the most frequently used OCT parameter for measuring the neuroretinal marginal width of the optic nerve head. There are also area parameters. Compared to peripapillary RNFL thickness and macular parameters, BMO-MRW has equivalent to superior sensitivity in glaucoma detection. In the longitudinal view, effects such as changes in the eye pressure level lead to fluctuations in BMO-MRW, which limits the usefulness of this parameter with regard to morphometric progression analysis. Numerous studies have shown that peripapillary nerve fibre layer thickness (pRNFL) is better suited for progression analysis. Checking the automatic segmentation of OCT images is relevant for all OCT parameters in glaucoma diagnostics.
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