Diagnostic accuracy of an iPad application for detection of visual field defects.
Diagnostic accuracy of an iPad application for detection of visual field defects.
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iPad 应用程序用于检测视野缺陷的诊断准确性。
DOI：
10.1038/s41433-022-02223-y
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发表时间：
2023
期刊：
影响因子：
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通讯作者：
Keenan,JeremyD
中科院分区：
文献类型：
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作者：
Richardson,QuintinR;Kumar,RajeshS;Ramgopal,B;Rackenchath,MahalakshmiV;AV,SathiDevi;Mannil,SuriaS;Nagaraj,Sriharsha;Moe,CaitlinA;Wittberg,DionnaM;O'Brien,KieranS;Oatts,JuliusT;Stamper,RobertL;Keenan,JeremyD
背景/目标基于平板电脑的视野检查可用于在无法轻松接触视野的情况下测试青光眼视野缺陷，尽管很少有研究评估基于平板电脑的测试的诊断准确性。本研究的目的是确定使用 VisualFields Easy 应用程序进行 iPad 视野检查的诊断准确性。受试者/方法这是一项前瞻性横断面研究，对象是在印度一家青光眼诊所接受首次汉弗莱视野分析仪 (HFA) 视野测试的患者。参与者使用 VisualFields Easy 应用程序进行了 24-2 SITA 标准 HFA 测试和基于 iPad 的视野检查。视野缺损和疑似青光眼的参考标准是通过眼科医生对 HFA 结果和视盘照片的审查来确定的。构建受试者工作特征曲线以评估不同测试阈值下的诊断准确性。结果纳入了 115 名参与者的 203 只眼睛，其中 82 只眼睛被分类为中度或更严重的青光眼。与 HFA 相比，iPad 视野检查检测任何视野缺损的受试者工作特征 (AUROC) 曲线下面积为 0.64（95% CI 0.57 至 0.71），与眼科医生检查相比，检测中度或更严重青光眼的 AUROC 为 0.68（0.59 至 0.76）。在设定的特异性为 90% 时，iPad 视野检查检测中度或更严重青光眼的灵敏度为 35% (22–48%)。 结论 使用 VisualFields Easy 应用程序的 iPad 视野检查诊断准确性不够，无法用作南印度人群青光眼的筛查工具。
Background/objectivesTablet-based perimetry could be used to test for glaucomatous visual field defects in settings without easy access to perimeters, although few studies have assessed diagnostic accuracy of tablet-based tests. The goal of this study was to determine the diagnostic accuracy of iPad perimetry using the visualFields Easy application.Subjects/methodsThis was a prospective, cross-sectional study of patients undergoing their first Humphrey Field Analyser (HFA) visual field test at a glaucoma clinic in India. Participants underwent 24-2 SITA Standard HFA testing and iPad-based perimetry with the visualFields Easy application. Reference standards for both visual field loss and suspected glaucoma were determined by ophthalmologist review of HFA results and optic disc photographs. Receiver operating characteristic curves were constructed to assess diagnostic accuracy at various test thresholds.Results203 eyes from 115 participants were included, with 82 eyes classified as moderate or worse glaucoma. iPad perimetry had an area under the receiver operating characteristic (AUROC) curve of 0.64 (95% CI 0.57 to 0.71) for detection of any visual field defect relative to HFA and an AUROC of 0.68 (0.59 to 0.76) for detection of moderate or worse glaucoma relative to ophthalmologist examination. At a set specificity of 90%, the sensitivity of iPad perimetry for detection of moderate or worse glaucoma was 35% (22–48%).ConclusionsiPad perimetry using the visualFields Easy application had inadequate diagnostic accuracy to be used as a screening tool for glaucoma in this South Indian population.