Department of Neuroscience, Vestibular and Ocular Motor Research Group, CA Rotterdam.
Medical and Vision Research Foundation, Chennai, Tamil Nadu, India.
J Glaucoma. 2020 May;29(5):351-361. doi: 10.1097/IJG.0000000000001477.
PRéCIS:: This eye movement perimetry (EMP) study describes the development of saccadic reaction time (SRT)-based visual field plots, which could effectively display the presence, location, and extent of glaucomatous defects and support clinical decision-making.
EMP is capable of discriminating normal from glaucomatous visual field defects on the basis of average delays in SRTs. To classify the presence and extent of age-corrected visual field defects, it is required to create SRT-based probability maps.
The aim of this study was to create visual field probability plots based on SRTs and to evaluate their clinical applicability by 2 glaucoma specialists.
The development phase included 95 controls segregated into 5 age-bins to estimate normative limits of SRT. Next, for the testing phase, a set of 28 healthy subjects and 24 glaucoma patients were recruited who underwent standard automated perimetry (SAP) and EMP visual field testing. Fifty-two SAP and EMP plots were presented to 2 glaucoma specialists to classify them as normal or abnormal and to identify the defect location and pattern as 1 or more of 7 predefined categories.
The glaucoma specialists showed a sensitivity of 100% and a specificity of 93% and 96% for identifying normal versus abnormal visual field. For specialists 1 and 2, 85% and 92%, respectively, of EMP reports were assigned to the same category as SAP. The reports that did not agree with SAP were graded to a higher defect pattern. The intermethod agreement for specialists 1 and 2 was κ 0.92 and 0.96, respectively.
SRT-based visual field probability plots provided a comprehensive summary of an individual's visual field status and showed comparable clinical applicability to that of SAP plots.
本眼动描记术（EMP）研究描述了基于扫视反应时（SRT）的视野图的发展，该图可有效显示青光眼缺陷的存在、位置和程度，并支持临床决策。
EMP 能够根据 SRT 的平均延迟来区分正常和青光眼视野缺陷。为了对经年龄校正的视野缺陷的存在和程度进行分类，需要创建基于 SRT 的概率图。
本研究旨在创建基于 SRT 的视野概率图，并通过 2 位青光眼专家评估其临床适用性。
开发阶段包括 95 名对照组，分为 5 个年龄组，以估计 SRT 的正常范围。接下来，在测试阶段，招募了一组 28 名健康受试者和 24 名青光眼患者，他们接受了标准自动视野计（SAP）和 EMP 视野测试。向 2 位青光眼专家展示了 52 个 SAP 和 EMP 图，以将其分类为正常或异常，并识别缺陷位置和模式为 7 个预设类别中的 1 个或多个。
青光眼专家在识别正常与异常视野方面的灵敏度为 100%和 93%和 96%，特异性为 93%和 96%。对于专家 1 和 2，分别有 85%和 92%的 EMP 报告被分配到与 SAP 相同的类别。与 SAP 不一致的报告被评为更高的缺陷模式。专家 1 和 2 的方法间一致性分别为κ0.92 和 0.96。
基于 SRT 的视野概率图提供了个体视野状况的综合摘要，并显示出与 SAP 图相当的临床适用性。
