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A method of ROC analysis by applying item response theory (IRT) to results of 1/0 judgments on the presence or absence of abnormal findings in CT image readings

机译:通过将项目响应理论(IRT)应用于1/0判断CT图像读数中是否存在异常发现的结果的ROC分析方法

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The purpose of this study is to develop a method of ROC analysis to evaluate both the ability of individual readers to detect abnormal findings and the detectability of abnormal findings in individual cases by applying item response theory to the results of 1/0 judgments on presence of abnormal findings in CT image readings. The validity of the method was verified by the following data and methods. Twenty-four readers searched for abnormal findings in 25 cases for which there were chest CT images with defined abnormal findings. From the 1/0 judgment data for the 25 cases with CT images (column) read by the 24 readers (row), each reader's potential ability to detect the abnormal findings (θ), the rate of "1" judgment by each reader, i.e. confidence level for TP and FP, P(θ), and the individual image response characteristic curves with the image as the item were calculated, from which ROC curves that represent the ability of each reader to detect abnormal findings were created. In addition, from the 1/0 judgment data for the 25 cases with CT images (row) read by the 24 readers (column), the potential detectability of abnormal findings for each CT image (θ) and the rate of "1" judgment for the image by readers, i.e. confidence level for TP and FP, P(θ), were calculated, from which ROC curves that represent the detectability of the abnormal finding in each case were created.
机译:这项研究的目的是开发一种ROC分析方法,通过将项目响应理论应用于1/0判断是否存在异常的结果,来评估单个读者检测异常发现的能力和个别情况下异常发现的可检测性。 CT图像读数异常。通过以下数据和方法验证了该方法的有效性。 24名读者在25例胸部CT图像中定义了异常发现的病例中搜索了异常发现。从24个阅读器(行)读取的25例带有CT图像(列)的病例的1/0判断数据中,每个阅读器检测异常发现的潜在能力(θ),每个阅读器的“ 1”判断率,例如,计算TP和FP的置信度,P(θ)以及以图像为项目的单个图像响应特征曲线,从中创建代表每个阅读器检测异常发现的能力的ROC曲线。此外,从24个阅读器(列)读取的25例带有CT图像(行)的病例的1/0判断数据中,每个CT图像(θ)的异常发现的潜在可检测性和“ 1”判断的比率通过读取器对图像进行计算,即计算出TP和FP的置信度P(θ),由此创建了代表每种情况下异常发现的可检测性的ROC曲线。

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