在没有基本真相的情况下,定量成像方法的排名有多准确:没有黄金标准评估的上限
Yan Liu1,2, Abhinav K Jha1,2
1Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, USA.
Proceedings of SPIE--the International Society for Optical Engineering
|November 29, 2024
概括
在没有黄金标准的情况下评估定量成像 (QI) 方法具有挑战性. 本研究引入了一个框架,用于量化使用非黄金标准评估 (NGSE) 技术的排名QI方法的准确性,即使没有地面真相数据.
科学领域:
- 医疗成像医学成像
- 统计评估 统计评估
- 生物医学数据分析
背景情况:
- 对定量成像 (QI) 方法的客观评估至关重要,但往往由于缺乏金标准而受到限制.
- 没有黄金标准的评估 (NGSE) 技术已经出现,可以在没有基本真相的情况下对QI方法进行排名.
- 使用NGSE技术进行QI方法排名的精度需要进一步量化.
研究的目的:
- 开发一个框架来量化排名QI方法在没有基本真相的情况下的准确度的上限.
- 使用本框架,评估NGSE技术的性能,特别是无真实回归 (RWT) 的性能.
- 引导NGSE技术在QI方法评估中的应用和解释.
主要方法:
- 提出了基于克拉梅尔-拉奥 (CRB) 的框架,以确定排名准确度的上限.
- 应用了CRB框架来评估无真实回归 (RWT) NGSE技术.
- 分析了框架在不同数量的患者数据集中的实用性.
主要成果:
- 拟议的基于CRB的框架有效地量化了排名QI方法的上限,没有基本真相.
- 证明了框架在评估RWT技术性能方面的实用性.
- 展示了框架的洞察力如何与不同患者队列大小有所不同.
结论:
- 基于CRB的框架为了解NGSE技术的性能限制提供了有价值的工具.
- 这个框架可以指导NGSE方法的应用,提高QI方法评估的可靠性.
- 进一步研究这种上限定量化的更广泛应用是有必要的.
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