Suppr超能文献

光学相干断层扫描在多发性硬化症中的视网膜成像的新用途。

Novel uses of retinal imaging with optical coherence tomography in multiple sclerosis.

机构信息

a NeuroCure Clinical Research Center , Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health , Berlin , Germany.

b Department of Neurology , University of California Irvine , Irvine , CA , USA.

出版信息

Expert Rev Neurother. 2019 Jan;19(1):31-43. doi: 10.1080/14737175.2019.1559051. Epub 2018 Dec 27.

Abstract

: Multiple Sclerosis (MS) is the most common chronic autoimmune neuroinflammatory condition in young adults. It is often accompanied by optic neuritis (ON) and retinal neuro-axonal damage causing visual disturbances. Optical coherence tomography (OCT) is a sensitive non-invasive method for quantifying intraretinal layer volumes. Recently, OCT not only showed to be a reliable marker for ON-associated damage, but also proved its high prognostic value for functional outcome and disability accrual in patients with MS. Consequently, OCT is discussed as a potential marker for monitoring disease severity and therapeutic response in individual patients. : This article summarizes our current understanding of structural retinal changes in MS and describes the future potential of OCT for differential diagnosis, monitoring of the disease course and for clinical trials. : Today, OCT is used in clinical practice in specialized MS centers. Standardized parameters across devices are urgently needed for supporting clinical utility. Novel parameters are desirable to increase sensitivity and specificity in terms of MS.

摘要

多发性硬化症(MS)是年轻人中最常见的慢性自身免疫性神经炎症性疾病。它常伴有视神经炎(ON)和视网膜神经轴突损伤,导致视觉障碍。光学相干断层扫描(OCT)是一种用于定量视网膜内各层体积的敏感的非侵入性方法。最近,OCT 不仅被证明是与 ON 相关的损伤的可靠标志物,而且还证明了它对 MS 患者的功能结果和残疾进展具有很高的预后价值。因此,OCT 被讨论为监测个体患者疾病严重程度和治疗反应的潜在标志物。本文总结了我们目前对 MS 中结构视网膜变化的认识,并描述了 OCT 在鉴别诊断、疾病过程监测和临床试验方面的未来潜力。如今,OCT 在专门的 MS 中心的临床实践中得到应用。迫切需要跨设备的标准化参数来支持临床实用性。需要新的参数来提高 MS 的敏感性和特异性。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验