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使用模拟评级数据验证改良的接收者操作特征软件。

Verification of modified receiver-operating characteristic software using simulated rating data.

作者信息

Shiraishi Junji, Fukuoka Daisuke, Iha Reimi, Inada Haruka, Tanaka Rie, Hara Takeshi

机构信息

Faculty of Life Sciences, Kumamoto University, 4-24-1 Kuhonji, Kumamoto, 862-0976, Japan.

Faculty of Education, Gifu University, 1-1 Yanagido, Gifu, 501-1193, Japan.

出版信息

Radiol Phys Technol. 2018 Dec;11(4):406-414. doi: 10.1007/s12194-018-0479-9. Epub 2018 Sep 22.

Abstract

ROCKIT, which is a receiver-operating characteristic (ROC) curve-fitting software package, was developed by Metz et al. In the early 1990s, it is a very frequently used ROC software throughout the world. In addition to ROCKIT, DBM-MRMC software was developed for multi-reader multi-case analysis of the difference in average area under ROC curves (AUCs). Because this old software cannot run on a PC with Windows 7 or a more recent operating system, we developed new software that employs the same basic algorithms with minor modifications. In this study, we verified our modified software and tested the differences between the index of diagnostic accuracies using simulated rating data. In our simulation model, all data were generated using target AUCs and a binormal parameter b. In ROC curve fitting with simulated rating data, we varied four factors: the total number of case samples, the ratio of positive-to-negative cases, a binormal parameter b, and the preset AUC. To investigate the differences between the statistical test results obtained from our software and the existing software, we generated simulated rating data sets with three levels of case difficulty and three degrees of difference in AUCs obtained from two modalities. As a result of the simulation, the AUCs estimated by the new and existing software were highly correlated (R > 0.98), and there were high agreements (85% or more) in the statistical test results. In conclusion, we believe that our modified software is as capable as the existing software.

摘要

ROCKIT是一种由梅茨等人开发的用于拟合接收器操作特征(ROC)曲线的软件包。在20世纪90年代初,它是全球使用非常频繁的ROC软件。除了ROCKIT,还开发了DBM-MRMC软件用于对ROC曲线下平均面积(AUC)差异进行多读者多病例分析。由于这种旧软件不能在装有Windows 7或更新操作系统的个人电脑上运行,我们开发了采用相同基本算法但有微小修改的新软件。在本研究中,我们验证了修改后的软件,并使用模拟评分数据测试了诊断准确性指标之间的差异。在我们的模拟模型中,所有数据均使用目标AUC和双正态参数b生成。在使用模拟评分数据进行ROC曲线拟合时,我们改变了四个因素:病例样本总数、阳性与阴性病例的比例、双正态参数b以及预设的AUC。为了研究从我们的软件和现有软件获得的统计测试结果之间的差异,我们生成了具有三种病例难度水平以及从两种模式获得的AUC的三种差异程度的模拟评分数据集。模拟结果表明,新软件和现有软件估计的AUC高度相关(R>0.98),并且在统计测试结果方面有高度一致性(85%或更高)。总之,我们认为我们修改后的软件与现有软件能力相当。

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