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视网膜前膜眼中光学相干断层扫描参数与视力的关系。

Relationship Between Optical Coherence Tomography Parameter and Visual Function in Eyes With Epiretinal Membrane.

机构信息

Department of Ophthalmology and Micro-Technology, Yokohama City University, Kanagawa, Japan.

Department of Ophthalmology, Seirei Hamamatsu General Hospital, Shizuoka, Japan.

出版信息

Invest Ophthalmol Vis Sci. 2021 May 3;62(6):6. doi: 10.1167/iovs.62.6.6.

Abstract

PURPOSE

To investigate the associations between visual function and the optical coherence tomography (OCT) parameters in eyes with idiopathic epiretinal membrane (ERM).

METHODS

Thirty-nine consecutive eyes with ERM were enrolled. In addition to OCT parameters, such as central retinal thickness (CRT), the area of gap between the ERM and the retinal surface (SUKIMA) was newly defined and calculated from the vertical and horizontal OCT images (SUKIMAv and SUKIMAh). The average of SUKIMAv and SUKIMAh (SUKIMAave) was used for the statistical analysis. The vertical and horizontal metamorphopsia scores (MV, MH) and the average of MV and MH (Mave) were also used for the analysis.

RESULTS

The Mave was not significantly associated with logMAR visual acuity (VA) (P = 0.57, linear regression analysis). Analysis using second-order bias-corrected Akaike information criterion model selection identified the age, CRT, and SUKIMAave as being associated with logMAR VA. On the other hand, among the OCT parameters, SUKIMAave and CRT were associated with the Mave. In addition, there was a significant relationship between SUKIMAh and MV (P = 0.011) and between SUKIMAv and MH (P = 0.0014).

CONCLUSIONS

We identified SUKIMA as a novel OCT parameter that is useful to predict both VA and metamorphopsia in patients with ERM.

摘要

目的

研究特发性视网膜内界膜(ERM)患者的视觉功能与光相干断层扫描(OCT)参数之间的关系。

方法

共纳入 39 只连续 ERM 眼。除了 OCT 参数(如中央视网膜厚度 [CRT])外,还从垂直和水平 OCT 图像中定义和计算了新的 ERM 与视网膜表面之间的间隙面积(SUKIMA)(SUKIMAv 和 SUKIMAh)。使用 SUKIMAv 和 SUKIMAh 的平均值(SUKIMAave)进行统计分析。还使用垂直和水平形觉变化分数(MV、MH)以及 MV 和 MH 的平均值(Mave)进行分析。

结果

Mave 与 logMAR 视力(VA)无显著相关性(P=0.57,线性回归分析)。使用二阶偏置 Akaike 信息准则模型选择的分析确定年龄、CRT 和 SUKIMAave 与 logMAR VA 相关。另一方面,在 OCT 参数中,SUKIMAave 和 CRT 与 Mave 相关。此外,SUKIMAh 与 MV 之间存在显著关系(P=0.011),SUKIMAv 与 MH 之间存在显著关系(P=0.0014)。

结论

我们确定 SUKIMA 是一种新的 OCT 参数,可用于预测 ERM 患者的 VA 和形觉变化。

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