验证可穿戴的虚拟现实外围对玻璃眼的分期,NOVA试验:新型虚拟现实现场评估
Chris Bradley1, Iqbal Ike K Ahmed2,3, Thomas W Samuelson4
1Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Translational vision science & technology
|March 15, 2024
概括
半径虚拟现实周边 (VRP) RATA-标准算法显示了与汉弗雷场分析仪 (HFA) SITA-标准在23-40dB之间相似的灵敏度. 对于这两种方法来说,青光眼的病期一致性都很高.
科学领域:
- 眼科医生 眼科 眼科
- 眼镜测量是指眼睛的测量.
- 医疗技术 医疗技术 医学技术
背景情况:
- 青光眼的诊断依赖于视觉现场测试.
- 将新的周长度算法与已建立的算法进行比较对于临床采用至关重要.
- 射线VRP为传统的视野测试设备提供了一个潜在的替代方案.
研究的目的:
- 为了比较半径VRP上的RATA-标准算法的估计灵敏度与汉弗里场分析仪 (HFA) 上的SITA-标准算法.
- 为了评估两周边之间格劳科马病阶段的一致性.
主要方法:
- 一百名成年玻璃眼患者接受了四个24-2视野测试 (两个HFA,两个Radius) 随机顺序.
- 估计的灵敏度使用威尔科克森等级总和测试进行了比较.
- 用加权的卡帕测量了两位蒙面的玻璃眼专家对玻璃眼的病期一致性.
主要成果:
- 估计的灵敏度在RATA标准和SITA标准之间是可比的,灵敏度在23到40dB之间.
- 观察到15到22dB之间的低一致性.
- 在青光眼病阶段测定中取得了很高的一致性 (kappa = 0.91 和 0.93).
- 发现半径VRP在统计学上不低于HFA,用于对青光眼的分期.
结论:
- 半径VRP上的RATA-标准算法表现出与HFA的SITA-标准在23至40dB的视野灵敏度上具有可比性能.
- 玻璃眼病病期的高度一致性表明,Radius VRP是临床使用的可靠工具.
- 半径VRP在使用医疗保险定义确定青光眼的阶段时,在统计学上不低于HFA.
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