Non-invasive Clinical Measurement of Ocular Rigidity and Comparison to Biomechanical and Morphological Parameters in Glaucomatous and Healthy Subjects.
Non-invasive Clinical Measurement of Ocular Rigidity and Comparison to Biomechanical and Morphological Parameters in Glaucomatous and Healthy Subjects.
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DOI：
10.3389/fmed.2021.701997
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发表时间：
2021
影响因子：
3.9
通讯作者：
Roberts CJ
中科院分区：
文献类型：
--
作者：
Ma Y;Moroi SE;Roberts CJ
目的：在昏迷和健康受试者中使用动态光学相干断层扫描（OCT）视频评估眼硬度，并评估眼硬度与人眼生物力学和形态学特征的相关性。研究方法：使用Friedenwald经验方程计算眼硬度，该经验方程估计由于每次心跳的脉络膜脉动引起的眼睛体积变化所产生的眼内压（IOP）变化。利用高速OCT视频通过时间序列分析非侵入性地测量脉络膜体积的变化。对照病例研究设计基于23例健康对照和6例青光眼病例。在同一次访视期间进行了多种诊断模式，包括用于神经头视频的Spectralis OCT、用于IOP和眼脉冲幅度（OPA）测量的Pascal动态轮廓眼压计、用于测量动态生物力学反应的Corvis ST和用于形态学表征的Pentacam。结果如下：结合青光眼和健康队列（n = 29），眼硬度与眼轴长度（Pearson R =-0.53，p = 0.003）和眼硬度与前房容积（R =-0.64，p = 0.0002）之间存在负相关性。眼球僵硬度和巩膜僵硬度存在更强的正相关性（即，最高屈光度下的硬度参数[SP-HC]）（R = 0.62，p = 0.0005）与眼硬度和角膜硬度（即，首次压平时的刚度参数[SP-A1]）（R = 0.41，p = 0.033）。此外，眼硬度与静态压力容积比（P/V比）呈正相关（R = 0.72，p <0.0001）。结论：在临床环境中，使用OCT视频和OPA非侵入性地评估眼强直。眼硬度与生物力学参数SP-HC和P/V比值的显著相关性证明了眼硬度测量的有效性。与角膜硬度相比，巩膜硬度在更大程度上驱动眼睛硬度。这些在体方法提供了一个重要的方法来研究青光眼的作用，眼睛的生物力学。
Purpose: To assess ocular rigidity using dynamic optical coherence tomography (OCT) videos in glaucomatous and healthy subjects, and to evaluate how ocular rigidity correlates with biomechanical and morphological characteristics of the human eye. Methods: Ocular rigidity was calculated using Friedenwald's empirical equation which estimates the change in intraocular pressure (IOP) produced by volumetric changes of the eye due to choroidal pulsations with each heartbeat. High-speed OCT video was utilized to non-invasively measure changes in choroidal volume through time-series analysis. A control-case study design was based on 23 healthy controls and 6 glaucoma cases. Multiple diagnostic modalities were performed during the same visit including Spectralis OCT for nerve head video, Pascal Dynamic Contour Tonometry for IOP and ocular pulse amplitude (OPA) measurement, Corvis ST for measuring dynamic biomechanical response, and Pentacam for morphological characterization. Results: Combining glaucoma and healthy cohorts (n = 29), there were negative correlations between ocular rigidity and axial length (Pearson R = −0.53, p = 0.003), and between ocular rigidity and anterior chamber volume (R = −0.64, p = 0.0002). There was a stronger positive correlation of ocular rigidity and scleral stiffness (i.e., stiffness parameter at the highest concavity [SP-HC]) (R = 0.62, p = 0.0005) compared to ocular rigidity and corneal stiffness (i.e., stiffness parameter at the first applanation [SP-A1]) (R = 0.41, p = 0.033). In addition, there was a positive correlation between ocular rigidity and the static pressure-volume ratio (P/V ratio) (R = 0.72, p < 0.0001). Conclusions: Ocular rigidity was non-invasively assessed using OCT video and OPA in a clinic setting. The significant correlation of ocular rigidity with biomechanical parameters, SP-HC and P/V ratio, demonstrated the validity of the ocular rigidity measurement. Ocular rigidity is driven to a greater extent by scleral stiffness than corneal stiffness. These in vivo methods offer an important approach to investigate the role of ocular biomechanics in glaucoma.