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帕金森综合征的视网膜单层分析:光学相干断层扫描研究。

Retinal single-layer analysis in Parkinsonian syndromes: an optical coherence tomography study.

机构信息

Department of Neurology, University of Ulm, Oberer Eselsberg 45, 89081, Ulm, Germany.

出版信息

J Neural Transm (Vienna). 2014 Jan;121(1):41-7. doi: 10.1007/s00702-013-1072-3. Epub 2013 Aug 2.

Abstract

We report a newly developed analysis algorithm for optical coherence tomography (OCT) that makes a retinal single-layer analysis with calculation of the average thickness of retinal layers possible. The aim of the study was to examine specific patterns of retinal layer pathology as a potential marker of neurodegeneration in Parkinson's disease (PD), progressive supranuclear palsy (PSP), and multiple system atrophy (MSA). Spectral domain OCT with a semiautomatic algorithm to calculate the average thickness of single retinal layers was applied to foveal scans of 65 PD, 16 PSP, and 12 MSA patients as well as 41 matched controls. Demographic and clinical data were collected for correlation analysis. Only PSP and MSA showed a significant reduction of retinal layers in comparison to controls. In PD, there were no significant findings in single retinal layer measurement. Most remarkably, the thickening of the outer nuclear layer in PSP and the outer plexiform layer in MSA was highly specific for these disease entities and allowed differentiating PSP from MSA with high sensitivity and specificity. With this analysis algorithm of OCT data, disease-specific retinal layer changes could be observed. Despite a general tendency to whole retinal and single retinal layer thinning that may reflect neurodegeneration in all Parkinsonian syndromes, the specific findings in MSA and PSP may serve as a highly sensitive and specific differential diagnostic tool and as a progression marker in these disease entities. Upcoming studies with a longitudinal setting will have to prove this assumption.

摘要

我们报告了一种新开发的光学相干断层扫描(OCT)分析算法,该算法可对视网膜进行单层分析,并计算视网膜各层的平均厚度。本研究旨在探讨特定的视网膜层病理模式是否可作为帕金森病(PD)、进行性核上性麻痹(PSP)和多系统萎缩(MSA)神经退行性变的潜在标志物。我们应用频域 OCT 及半自动算法对 65 例 PD、16 例 PSP 和 12 例 MSA 患者以及 41 名匹配对照者的中心凹扫描进行分析,收集了人口统计学和临床数据进行相关性分析。结果显示,与对照组相比,只有 PSP 和 MSA 患者的视网膜层显著变薄。在 PD 患者中,各层视网膜的厚度测量均无显著变化。最显著的是,PSP 中外核层的增厚和 MSA 中外丛状层的增厚对这些疾病实体具有高度特异性,可实现 PSP 与 MSA 的高灵敏度和特异性鉴别。通过这种 OCT 数据分析算法,可以观察到与疾病相关的视网膜层变化。尽管所有帕金森综合征均存在整个视网膜和各层视网膜普遍变薄的趋势,可能反映出神经退行性变,但 MSA 和 PSP 的特定发现可能成为这些疾病实体的高度敏感和特异性鉴别诊断工具和疾病进展标志物。未来的纵向研究需要证实这一假设。

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