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评估伪读研究设计,以替代完全交叉、多读者、多病种研究来估计观察者性能结果。

Evaluation of Pseudoreader Study Designs to Estimate Observer Performance Results as an Alternative to Fully Crossed, Multireader, Multicase Studies.

机构信息

Department of Health Sciences Research, Mayo Clinic, 4500 San Pablo Road South, Jacksonville, FL 32224.

Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, Minnesota.

出版信息

Acad Radiol. 2020 Feb;27(2):244-252. doi: 10.1016/j.acra.2019.03.014. Epub 2019 May 7.

Abstract

RATIONALE AND OBJECTIVES

To examine the ability of a pseudoreader study design to estimate the observer performance obtained using a traditional fully crossed, multireader, multicase (MRMC) study.

MATERIALS AND METHODS

A 10-reader MRMC study with 20 computed tomography datasets was designed to measure observer performance on four novel noise reduction methods. This study served as the foundation for the empirical evaluation of three different pseudoreader designs, each of which used a similar bootstrap approach for generating 2000 realizations from the fully crossed study. Our three approaches to generating a pseudoreader varied in the degree to which reader performance was matched and integrated into the pseudoreader design. One randomly selected simulation was selected as a "mock study" to represent a hypothetical, prospective implementation of the design.

RESULTS

Using the traditional fully crossed design, figures of merit) (95% CIs) for the four noise reductions methods were 68.2 (55.5-81.0), 69.6 (58.4-80.8), 70.8 (60.2-81.4), and 70.9 (60.4-81.3), respectively. When radiologists' performances on the fourth noise reduction method were used to pair readers during the mock study, there was strong agreement in the estimated figures of merits with estimates using the pseudoreader design being within ±3% of the fully crossed design.

CONCLUSION

Fully crossed MRMC studies require significant investment in resources and time, often resulting in delayed implementation or minimal human testing before dissemination. The pseudoreader approach accelerates study conduct by combining readers judiciously and was found to provide comparable results to the traditional fully crossed design by making strong assumptions about exchangeability of the readers.

摘要

原理和目的

检验伪读研究设计估计使用传统完全交叉、多读者、多病例(MRMC)研究获得的观察者性能的能力。

材料和方法

设计了一项有 10 位读者的 MRMC 研究,共有 20 个计算机断层扫描数据集,旨在测量观察者对四种新型降噪方法的性能。该研究为三种不同的伪读设计的实证评估提供了基础,每种设计都使用类似的自举方法从完全交叉研究中生成 2000 个实现。我们生成伪读的三种方法在读者性能匹配和整合到伪读设计的程度上有所不同。一种随机选择的模拟被选为“模拟研究”,代表设计的假设性、前瞻性实施。

结果

使用传统的完全交叉设计,四种降噪方法的优点(95%置信区间)分别为 68.2(55.5-81.0)、69.6(58.4-80.8)、70.8(60.2-81.4)和 70.9(60.4-81.3)。当在模拟研究中使用第四种降噪方法的放射科医生的表现来配对读者时,估计的优点与使用伪读设计的估计值非常吻合,误差在±3%以内。

结论

完全交叉的 MRMC 研究需要在资源和时间上进行大量投资,通常导致实施延迟或在传播之前对人类测试的最小化。伪读方法通过明智地结合读者来加速研究的进行,并通过对读者的可交换性做出强烈假设,发现可以提供与传统完全交叉设计相当的结果。

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