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通过数字立体分析鉴别青光眼性视神经病变

Discrimination of glaucomatous optic neuropathy by digital stereoscopic analysis.

作者信息

Morgan J E, Sheen N J L, North R V, Goyal R, Morgan S, Ansari E, Wild J M

机构信息

Department of Ophthalmology, University Hospital of Wales, Cardiff, United Kingdom.

出版信息

Ophthalmology. 2005 May;112(5):855-62. doi: 10.1016/j.ophtha.2004.11.056.

Abstract

PURPOSE

To evaluate the diagnostic power of a novel digital stereoscopic imaging system in the diagnosis of glaucomatous optic neuropathy.

DESIGN

Prospective cross-sectional analysis of the diagnostic accuracy of digital stereoscopic optic disc analysis in the diagnosis of glaucomatous optic neuropathy exhibiting mild to moderate field loss.

PARTICIPANTS

Fifty-two patients with open-angle glaucoma and 54 normal individuals were recruited. The presence of a reproducible visual field loss characteristic of glaucoma was used as the reference standard for the presence of glaucoma independent of the optic nerve head appearance. Patients were excluded if the optic disc, fundus, or visual field indicated other disease. One eye from each patient and individual was included in the study, the eye with the least field loss and a randomly designated normal eye, respectively.

METHODS

Simultaneous stereoscopic optic disc photography was performed on each specified eye. Three experienced observers viewed the resultant stereoscopic image of each nerve head using a Z screen, recorded a subjective clinical diagnosis, and undertook digital stereoscopic planimetry. Separate linear regression analysis was performed, post hoc, from the planimetric results for each observer of the logarithm of neuroretinal rim (NRR) against optic disc area derived from each normal eye. Eyes with NRR areas below the 95th prediction interval of the normal cohort were then classified as glaucomatous.

MAIN OUTCOME MEASURES

Sensitivity and specificity for the detection of glaucomatous optic neuropathy.

RESULTS

With subjective stereoscopic analysis, sensitivity for glaucoma detection among the 3 observers was 80.8%, 76.9%, and 90.4%, with respective specificities of 94.4%, 79.6%, and 79.6%. Regression analysis of the NRR in 30 degrees segments gave sensitivities between 69.2% and 80.8% and specificities between 83.3% and 90.7%. A combination of the subjective and quantitative analysis did not significantly improve discrimination.

CONCLUSIONS

The subjective analysis of digital stereoscopic images provides a useful method for the discrimination of normal and glaucomatous optic nerves. Planimetric analysis does not significantly improve the diagnostic precision of this technique.

摘要

目的

评估一种新型数字立体成像系统在青光眼性视神经病变诊断中的诊断能力。

设计

对数字立体视盘分析在诊断表现为轻度至中度视野缺损的青光眼性视神经病变中的诊断准确性进行前瞻性横断面分析。

参与者

招募了52例开角型青光眼患者和54名正常个体。青光眼特有的可重复性视野缺损的存在被用作青光眼存在的参考标准,而不考虑视神经乳头外观。如果视盘、眼底或视野显示其他疾病,则将患者排除。研究纳入了每位患者和个体的一只眼睛,分别是视野缺损最小的眼睛和随机指定的正常眼睛。

方法

对每只指定的眼睛进行同步立体视盘摄影。三名经验丰富的观察者使用Z屏观察每个神经乳头的立体图像,记录主观临床诊断,并进行数字立体平面测量。事后,对每位观察者的神经视网膜边缘(NRR)对数与每只正常眼睛的视盘面积的平面测量结果进行单独的线性回归分析。然后将NRR面积低于正常队列第95预测区间的眼睛分类为青光眼性。

主要观察指标

青光眼性视神经病变检测的敏感性和特异性。

结果

通过主观立体分析,三名观察者检测青光眼的敏感性分别为80.8%、76.9%和90.4%,特异性分别为94.4%、79.6%和79.6%。对30度节段的NRR进行回归分析,敏感性在69.2%至80.8%之间,特异性在83.3%至90.7%之间。主观和定量分析相结合并没有显著提高辨别力。

结论

数字立体图像的主观分析为区分正常和青光眼性视神经提供了一种有用的方法。平面测量分析并没有显著提高该技术的诊断精度。

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