ABSTRACT

Purpose

To analyze anatomical factors contributing to angle closure based on anterior segment optical coherence tomography (AS-OCT) imaging.

Methods

A total of 238 patients with angle closure and 1122 normal controls were consecutively recruited for this study. Participants’ eyes were imaged using AS-OCT under the same darkened ambient light conditions. The following parameters were analyzed: central anterior chamber depth (ACD); anterior chamber area (ACA); anterior chamber volume (ACV), anterior chamber width (ACW); corneal diameter (CD); posterior cornea curvature (PCC); anterior cornea curvature (ACC); maximum iris thickness (ITM); iris thickness at 750 um (IT750) and 2000 um (IT2000) from the scleral spur; iris curvature (IC); iris area (IA); lens vault (LV); angle opening distance (AOD); trabecular iris space area at 500 um (TISA500) and 750 um (TISA750) from the scleral spur; angle recess area (ARA). Lasso regression models were used to detect the collinearity of parameters. The multivariable logistic regression was performed to determine the independent association between angle closure and those parameters included in Lasso regression model. Also Factor analysis was performed to extract a few underlying factors (components) from these parameters.

Results

Lasso regression showed that ACD, ACV, PCC, IT750, IT2000 and LV were screened in the model. The multivariable logistic regression indicated that ACV, PCC, IT750 and LV were significantly associated with angle closure. Factor analyses revealed that 4 factors, each with its closely associated clusters of variables, produced the best results: ACA, ACV and ACD (Factor 1); LV, tIC and nIC, (Factor 2); ACW, CD and PCC (Factor 3); and tITM, tIT2000, tIT750, nIT2000 and nIT750 (Factor 4).

Conclusions

Four separate mechanisms were showed to be involved in the pathogenesis of angle closure, from anterior chamber dimensions, lens, iris and cornea respectively. The parameters ACV, PCC, IT750, and LV are more predominant in determining angle closure.

中文翻译：

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基于眼前节光学相干断层成像分析导致闭角的解剖因素

摘要

目的

基于眼前节光学相干断层扫描 (AS-OCT) 成像分析导致闭角的解剖因素。

方法

本研究连续招募了 238 名闭角患者和 1122 名正常对照。在相同的黑暗环境光条件下，使用 AS-OCT 对参与者的眼睛进行成像。分析了以下参数：中央前房深度（ACD）；前房区（ACA）；前房容积（ACV）、前房宽度（ACW）；角膜直径（CD）；角膜后曲率（PCC）；角膜前曲率（ACC）；最大虹膜厚度（ITM）；距巩膜骨刺 750 um (IT750) 和 2000 um (IT2000) 的虹膜厚度；虹膜曲率（IC）；虹膜区（IA）；镜头库（LV）；开角距离（AOD）；距巩膜骨刺 500 um (TISA500) 和 750 um (TISA750) 的小梁虹膜间隙区域；角凹区（ARA）。Lasso回归模型用于检测参数的共线性。进行多变量逻辑回归以确定角度闭合与套索回归模型中包含的那些参数之间的独立关联。还进行了因素分析以从这些参数中提取一些潜在因素（组件）。

结果

Lasso 回归显示模型中筛选出 ACD、ACV、PCC、IT750、IT2000 和 LV。多变量逻辑回归表明 ACV、PCC、IT750 和 LV 与闭角显着相关。因子分析显示，4 个因子，每个因子都有其密切相关的变量集群，产生了最好的结果：ACA、ACV 和 ACD（因子 1）；LV、tIC 和 nIC，（因子 2）；ACW、CD 和 PCC（因素 3）；和 tITM、tIT2000、tIT750、nIT2000 和 nIT750（因子 4）。

结论

四种不同的机制被证明与闭角的发病机制有关，分别来自前房尺寸、晶状体、虹膜和角膜。参数 ACV、PCC、IT750 和 LV 在确定角度闭合时更为重要。