The photopic negative response (PhNR): measurement approaches and utility in glaucoma.

The photopic negative response (PhNR): measurement approaches and utility in glaucoma.
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DOI:
10.1007/s10792-020-01515-0
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发表时间:
2020-12
影响因子:
1.6
通讯作者:
Perossini M
Perossini M
中科院分区:
医学4区
文献类型:
--
作者:
Prencipe M;Perossini T;Brancoli G;Perossini M

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视觉电生理测试继续引起青光眼专家的兴趣,因为它可能有助于阐明疾病病理生理学和促进青光眼损伤的早期检测。明视负反应 (PhNR) 是全视野视网膜电图的缓慢负成分,已被证明可以提供有关视网膜神经节细胞 (RGC) 活动的特定信息。本文的目的是回顾文献,探讨目前可用的测量方法以及 PhNR 在青光眼诊断过程中的效用。我们通过检索 PubMed 引用的文献,收集了与 ERG 的 PhNR 的起源、所用刺激类型、测量方法以及在动物模型和人类中的应用相关的出版物。搜索词包括:“PhNR”、“明视阴性反应”、“青光眼”、“青光眼性视神经病变”、“ERG”、“视网膜电图”。最可靠的 PhNR 测量是使用蓝色背景上的红色刺激获得的,无需屈光矫正、注视监测或眼介质透明度。鉴于其与 RGC 反应的直接相关性,以基线到谷值 (BT) 测量的 PhNR 代表了最可靠的评估参数。具有明显视野缺陷的青光眼患者表现出病理 PhNR 值。尽管 PhNR 在检测早期 RGC 损伤方面很有前景,但区分健康受试者和有发生青光眼损伤风险的可疑患者仍然具有挑战性。 PhNR 是一个有用的附加工具,可用于探索影响最内层视网膜的疾病,包括青光眼和其他形式的视神经病变。特别是,将标准检查(视盘评估、OCT RNFL 测量、标准自动视野检查)报告与电生理测试结果进行比较可能有助于解决临床诊断和管理困境。一方面,ERG的PhNR可以检查细小细胞通路;另一方面,针对青光眼筛查优化的稳态模式 ERG(PERGLA)可以探索巨细胞通路。这可以为眼科医生提供有用的反馈,以识别提示青光眼的早期 RGC 变化、对风险进行分层并可能监测疾病进展。
Visual electrophysiological testing continues to generate interest among glaucoma experts because of its potential help in clarifying disease pathophysiology and promoting early detection of glaucomatous damage. The photopic negative response (PhNR) is a slow negative component of the full-field electroretinogram that has been shown to provide specific information about retinal ganglion cells (RGCs) activity. The purpose of this article is to review the literature to explore the currently available measurement methods and the utility of PhNR in glaucoma diagnostic process. We gathered publications related to the origins, types of stimuli used, measurements methods and applications of the PhNR of ERG in animal models and humans through a search of the literature cited in PubMed. Search terms were: “PhNR”, “photopic negative response”, “glaucoma”, “glaucomatous optic neuropathy”, “ERG”, “electroretinogram”. The most reliable PhNR measurements are obtained using a red stimulus on a blue background, without requiring refractive correction, fixation monitoring, or ocular media transparency. Given its direct correlation with RGCs response, the PhNR measured as baseline-to-trough (BT) represents the most reliable parameter of evaluation. Glaucoma patients with evident perimetric defects show pathologic PhNR values. Even though the PhNR is promising in detecting early RGCs impairment, distinguishing between healthy subjects and suspect patients at risk of developing glaucomatous damage still remains challenging. The PhNR is a useful additional tool to explore disorders that affect the innermost retina, including glaucoma and other forms of optic neuropathy. In particular, comparing reports of the standard examinations (optic disc assessment, OCT RNFL measurement, standard automated perimetry) with the results of electrophysiological tests may be helpful in solving clinical diagnostic and management dilemmas. On the one hand, the PhNR of the ERG can examine the parvocellular pathways; on the other hand, the steady-state pattern ERG optimized for glaucoma screening (PERGLA) can explore the magnocellular pathways. This could give ophthalmologists a useful feedback to identify early RGCs alterations suggestive of glaucoma, stratify the risk and potentially monitor disease progression.
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