Wollstein Gadi, Ishikawa Hiroshi, Wang Jiping, Beaton Siobahn A, Schuman Joel S
UPMC Eye Center, Department of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15213, USA.
Am J Ophthalmol. 2005 Jan;139(1):39-43. doi: 10.1016/j.ajo.2004.08.036.
Several cross-sectional studies have demonstrated the capability of optical coherence tomography (OCT) to detect glaucomatous changes. OCT enables posterior pole scanning of three regions: macula, peripapillary, and optic nerve head (ONH). This study compared the ability of each region to detect glaucomatous damage.
Retrospective observational cross-sectional study.
The study included 37 normal (37 subjects) and 37 glaucomatous eyes (26 subjects) that had comprehensive ocular examination, reliable and reproducible Swedish interactive thresholding algorithm standard 24-2 perimetry, and Stratus OCT scanning of macula, peripapillary, and ONH regions on the same visit. Optical nerve head (ONH) appearance did not form part of the inclusion criteria. The main outcome measure, was area under receiver operating characteristic curves (AROCs) that was calculated for each scanning region for distinguishing between normal and glaucomatous eyes.
The highest AROCs for distinguishing between groups were for ONH parameters (rim area = 0.97, horizontal integrated rim width = 0.96, vertical integrated rim area = 0.95) and peripapillary nerve fiber layer (NFL) thickness (0.94) followed by macular volume and thickness (both 0.80). A statistically significant difference existed in ONH and NFL AROCs when compared with macular AROCs (P < or = .007, for both)
OCT ONH and NFL parameters provided similar discrimination capabilities between healthy eyes and those of glaucoma patients and superior discrimination capabilities when compared with macular parameters.
多项横断面研究已证实光学相干断层扫描(OCT)检测青光眼性改变的能力。OCT能够对三个区域进行后极部扫描:黄斑、视乳头周围和视神经乳头(ONH)。本研究比较了每个区域检测青光眼性损害的能力。
回顾性观察性横断面研究。
该研究纳入了37只正常眼(37名受试者)和37只青光眼患眼(26名受试者),这些患眼均接受了全面的眼部检查、可靠且可重复的瑞典交互式阈值算法标准24-2视野检查,并且在同一次就诊时对黄斑、视乳头周围和ONH区域进行了Stratus OCT扫描。视神经乳头(ONH)外观未纳入纳入标准。主要观察指标是为区分正常眼和青光眼患眼而计算每个扫描区域的受试者操作特征曲线下面积(AROCs)。
区分两组的最高AROCs是针对ONH参数(边缘面积=0.97,水平整合边缘宽度=0.96,垂直整合边缘面积=0.95)和视乳头周围神经纤维层(NFL)厚度(0.94),其次是黄斑体积和厚度(均为0.80)。与黄斑AROCs相比,ONH和NFL的AROCs存在统计学显著差异(两者P均≤0.007)。
OCT的ONH和NFL参数在健康眼和青光眼患者眼中提供了相似的鉴别能力,并且与黄斑参数相比具有更好的鉴别能力。