量化视线追踪用于视野可靠性估计. 一个系统的审查
概括
从凝视跟踪 (GT) 获得的定量指标显示,可改善视野 (VF) 测试可靠性,特别是在SITA标准测试中. 需要进一步的研究来探索AI.
科学领域:
- 眼科医生 眼科 眼科
- 视觉科学 视觉科学
- 医疗技术 医疗技术 医学技术
背景情况:
- 视野 (VF) 测试对于诊断和监测眼睛疾病至关重要.
- 评估VF测试结果的可靠性对于准确的临床解释至关重要.
- 自动周边测量器生成数据,包括凝视跟踪 (GT) 输出,这些数据可以提供对测试可靠性的见解.
研究的目的:
- 在自动化视野 (VF) 测试过程中,系统地审查有关从凝视跟踪 (GT) 获得定量指标的文献.
- 确定GT指标是否可以增强对VF测试可靠性的评估.
主要方法:
- 在主要的生物医学数据库 (PubMed,Cochrane,LILACS,IBECS) 进行了系统的搜索,截至2024年8月31日.
- 包括的研究分析了在VF测试期间从GT输出中获得的定量指标.
- 研究根据使用的测试策略 (SITA标准,快速,更快) 分类.
主要成果:
- 包括8项研究 (3,687名患者,8,181个VF测试).
- 在SITA标准测试中,GT参数与VF可重现性和青光眼结构功能关系相关,尽管受眼睛表面因素的影响.
- 对于SITA Fast/Faster的结果是混合的;一些研究表明GT指标可以补充现有的可靠性指标,而另一些研究发现没有显著的临床附加值.
结论:
- 对GT痕迹的定量分析显示了作为VF测试的客观可靠性参数的潜力,特别是在SITA标准策略中.
- 未来的研究应该专注于使用人工智能等先进技术自动定量GT参数.
- 评估这些先进指标对VF数据可靠性和临床决策的影响是有必要的.
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