Purpose

To investigate whether the elastic energy stored in an eyeball at highest concavity (highest concavity energy; HCE), calculated with Corivs ST (CST, OCULUS), correlates with glaucomatous visual field (VF) progression.

Methods

108 eyes from 70 primary open angle-glaucoma patients were studied. The HCE was calculated using CST parameters. For each eye, the mean total deviation (mTD) of the 52 test points in the 24–2 Humphrey Field Analyzer test pattern was calculated and the mTD progression rate was determined from eight reliable VFs. Eyes were subdivided into: subgroups with low- or high-whole eye motion maximal length (WEM-d) and subgroups with short- or long-time taken to reach WEM-d (WEM-t), as measured with CST. The associations between mTD progression rate and HCE and other ocular/systemic parameters including age, Goldmann applanation tonometry based-intraocular pressure [GAT-IOP], and corneal hysteresis [CH] from the Ocular Response Analyzer (ORA^®, Reichert) were investigated using the linear mixed model. The optimal model to describe mTD progression rate was selected from all possible combinations according to the second order bias corrected Akaike Information Criterion index.

Results

Optimal models to describe mTD progression rate included: CH in the model for all eyes, age and HCE in the model for the WEM-d low group, HCE in the model for the WEM-t short group, mean GAT-IOP in the model for the WEM-d high group, and age in the model for the WEM-t long-group.

Conclusions

HCE was associated with glaucomatous VF progression in eyes with minimal whole eye motion (low WEM-d and WEM-t subgroups).

中文翻译：

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眼中储存的弹性能与青光眼视野进展之间的相关性

目的

要调查使用Corivs ST（CST，OCULUS）计算出的最高凹度（最高凹度能量； HCE）中存储在眼球中的弹性能是否与青光眼视野（VF）进展相关。

方法

研究了来自70名原发性开角型青光眼患者的108只眼睛。使用CST参数计算HCE。对于每只眼睛，计算了24-2 Humphrey Field Analyzer测试模式中52个测试点的平均总偏差（mTD），并从八个可靠的VF确定了mTD的进展速度。根据CST测量，将眼睛分为：具有低或高整体眼动最大长度（WEM-d）的亚组和具有达到WEM-d（WEM-t）的短时间或长时间的亚组。[CH]从眼反应分析仪（ORA MTD进展率和HCE和其他眼部/系统参数，包括年龄，Goldmann压平眼压计基于眼压[GAT-IOP]，和角膜滞后之间的关联^®，Reichert）使用线性混合模型进行了研究。根据二阶偏差校正的Akaike信息准则索引，从所有可能的组合中选择描述mTD进程速率的最佳模型。

结果

描述mTD进展率的最佳模型包括：所有眼睛模型，年龄中的CH和WEM-d低组模型中的HCE，WEM-t短组模型中的HCE，模型中的平均GAT-IOP对于WEM-d高组，则为模型的年龄；对于WEM-t长组，则为模型的年龄。

结论

HCE与全眼运动最少（低WEM-d和WEM-t亚组）的青光眼VF进展相关。