Relationship between Roe and Metz simulation model for multireader diagnostic data and Obuchowski-Rockette model parameters.

Relationship between Roe and Metz simulation model for multireader diagnostic data and Obuchowski-Rockette model parameters.
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多阅读器诊断数据的 Roe 和 Metz 仿真模型与 Obuchowski-Rockette 模型参数之间的关系。

DOI:
10.1002/sim.7616
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发表时间:
2018
影响因子:
2
通讯作者:
Hillis,StephenL
Hillis,StephenL
中科院分区:
医学3区
文献类型:
--
作者:
Hillis,StephenL

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对于典型的诊断放射学研究设计,每个病例(即患者)都要接受几次诊断测试(或模态),并由几名阅片人解读所得图像。通常情况下,每个阅片人都被要求为每个测试的每个病例分配疾病置信度评级,并将诊断测试与阅片人性能结果进行比较,这些结果是阅片人受试者工作特征(ROC)曲线的函数,例如ROC曲线下的面积。这些阅片者表现结果经常使用Obuchowski和Roclavian方法进行分析,该方法允许结论推广到阅片者和病例人群。Roe和梅斯(RM)在1997年提出的模拟模型模拟了从此类研究中收集的疾病置信度数据,并且已经成为经验性评估各种阅片人绩效分析方法的重要工具。然而,由于RM模型参数是以连续决策变量而不是读者表现结果来表示的,因此无法评估RM模型的真实性。我推导出了RM和Obuchowski‐ Rocker模型参数之间的关系,用于ROC曲线下的经验面积读者绩效结果。这些关系使得有可能评估RM参数模型的真实性,并评估Obuchowski‐ Rockowski参数估计值的性能。一个例子说明了关系的应用,用于评估Obuchowski‐ Rocker检验-by‐reader方差分量的拟议单侧置信上限的性能,这对样本量估计很有用。
For the typical diagnostic radiology study design, each case (ie, patient) undergoes several diagnostic tests (or modalities) and the resulting images are interpreted by several readers. Often, each reader is asked to assign a confidence‐of‐disease rating to each case for each test, and the diagnostic tests are compared with respect to reader‐performance outcomes that are functions of the reader receiver operating characteristic (ROC) curves, such as the area under the ROC curve. These reader‐performance outcomes are frequently analyzed using the Obuchowski and Rockette method, which allows conclusions to generalize to both the reader and case populations. The simulation model proposed by Roe and Metz (RM) in 1997 emulates confidence‐of‐disease data collected from such studies and has been an important tool for empirically evaluating various reader‐performance analysis methods. However, because the RM model parameters are expressed in terms of a continuous decision variable rather than in terms of reader‐performance outcomes, it has not been possible to evaluate the realism of the RM model. I derive the relationships between the RM and Obuchowski‐Rockette model parameters for the empirical area under the ROC curve reader‐performance outcome. These relationships make it possible to evaluate the realism of the RM parameter models and to assess the performance of Obuchowski‐Rockette parameter estimates. An example illustrates the application of the relationships for assessing the performance of a proposed upper one‐sided confidence bound for the Obuchowski‐Rockette test‐by‐reader variance component, which is useful for sample size estimation.
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