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观察者检测多个放射影像信号的表现。使用广义受试者工作特征(ROC)方法进行预测与分析。

Observer performance in detecting multiple radiographic signals. Prediction and analysis using a generalized ROC approach.

作者信息

Metz C E, Starr S J, Lusted L B

出版信息

Radiology. 1976 Nov;121(2):337-47. doi: 10.1148/121.2.337.

DOI:10.1148/121.2.337
PMID:981610
Abstract

The theories of decision processes and signal detection provide a framework for evaluation of observer performance. Some radiological procedures involve a search for multiple similar lesions, e.g., plain radiographic examinations for gallstones or pneumoconiosis. Presuming knowledge of the conventional ROC curve for detection of a single radiographic signal, a model is presented which is used to predict observer performance in an experiment requiring detection of more than one such signal. An experiment tests the validity of this model for detecting radiographically the presence of zero, one, or two low-contrast, 2-mm diameter, Lucite beads. Results confirm the validity of the model and suggest that observer performance in relatively complex detection tasks can be predicted from simpler experiments.

摘要

决策过程和信号检测理论为评估观察者的表现提供了一个框架。一些放射学检查涉及对多个相似病变的搜索,例如,用于检测胆结石或尘肺病的普通X光检查。假定已知用于检测单个放射学信号的传统ROC曲线,本文提出了一个模型,该模型用于预测在需要检测多个此类信号的实验中观察者的表现。一项实验测试了该模型在X光检测中零个、一个或两个低对比度、直径2毫米的有机玻璃珠的有效性。结果证实了该模型的有效性,并表明可以通过更简单的实验来预测观察者在相对复杂检测任务中的表现。

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