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区分不同程度青光眼患者的结构-功能参数

Structure-Functional Parameters in Differentiating Between Patients With Different Degrees of Glaucoma.

作者信息

Cennamo Gilda, Montorio Daniela, Romano Mario R, Cardone Domenico M, Minervino Carlo, Reibaldi Michele, Cennamo Giovanni

机构信息

*Eye Clinic, Department of Neurosciences, Reproductive Sciences and Dentistry, University of Naples Federico II, Naples †Eye Clinic, University of Catania, Catania, Italy.

出版信息

J Glaucoma. 2016 Oct;25(10):e884-e888. doi: 10.1097/IJG.0000000000000491.

Abstract

PURPOSE

We evaluated spectral-domain optical coherence tomography (SD-OCT) parameters and visual field parameters in patients with different degrees of open-angle glaucoma (preperimetric, mild, moderate, and severe glaucoma) to determine which parameter best identifies each glaucomatous group.

MATERIALS AND METHODS

A total of 131 patients (66 preperimetric, 41 mild, 35 moderate, 40 severe glaucomatous eyes) and 40 normal eyes (control group) were included in this prospective study. The SD-OCT parameters [mean ganglion cell complex (GCC), superior GCC, inferior GCC, global loss volume, focal loss volume, mean circumpapillary retinal nerve fiber layer (RNFL), superior circumpapillary retinal nerve fiber layer [cpRNFL], and inferior cpRNFL] and visual field parameters (mean deviation and pattern SD) were evaluated. The area under the receiver operating characteristic curve (AUROC) was calculated for each parameter to determine which best identified glaucomatous changes.

RESULTS

Of the SD-OCT parameters, inferior (AUROC, 0.792) and mean GCC thickness (AUROC, 0.741) best discriminated between normal eyes and preperimetric glaucoma eyes.

CONCLUSIONS

GCC measurements were more efficient than cpRNFL measurements in detecting preperimetric glaucomatous damage. This finding could be an aid to an early diagnosis.

摘要

目的

我们评估了不同程度开角型青光眼(视野检查前、轻度、中度和重度青光眼)患者的频域光学相干断层扫描(SD - OCT)参数和视野参数,以确定哪个参数最能区分每个青光眼组。

材料与方法

这项前瞻性研究共纳入了131例患者(66只视野检查前青光眼、41只轻度青光眼、35只中度青光眼、40只重度青光眼患眼)和40只正常眼(对照组)。评估了SD - OCT参数[平均神经节细胞复合体(GCC)、上方GCC、下方GCC、整体损失体积、局部损失体积、平均视盘周围视网膜神经纤维层(RNFL)、上方视盘周围视网膜神经纤维层[cpRNFL]和下方cpRNFL]以及视野参数(平均偏差和模式标准差)。计算每个参数的受试者操作特征曲线下面积(AUROC),以确定哪个参数最能识别青光眼性改变。

结果

在SD - OCT参数中,下方(AUROC,0.792)和平均GCC厚度(AUROC,0.741)在区分正常眼和视野检查前青光眼眼方面表现最佳。

结论

在检测视野检查前青光眼性损害方面,GCC测量比cpRNFL测量更有效。这一发现有助于早期诊断。

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