Thompson John D, Manning David J, Hogg Peter
University of Salford, Salford, United Kingdom.
J Nucl Med Technol. 2013 Jun;41(2):57-64. doi: 10.2967/jnmt.112.116566. Epub 2013 Apr 26.
Receiver operating characteristic (ROC) analysis has been successfully used in radiology to help determine the combined success of system and observer. There is great value in these methods for assessing new and existing techniques to see if diagnostic accuracy can be improved. Within all aspects of radiology there should be compliance with the as-low-as-reasonably-achievable principle, which requires optimization of the diagnostic suitability of the image. Physical measures of image quality have long been used in the assessment of system performance, but these alone are not sufficient to assess diagnostic capability. It is imperative that the observer be included in any assessment of diagnostic performance. The free-response ROC paradigm has been developed as a statistically powerful advancement of traditional ROC analysis that allows a precise interpretation of complex images by adding location information to the level of observer confidence. The following review of free-response ROC methodology will explain how observer performance methods can be valuable in image optimization, including examples of how these have already been successful in hybrid imaging.
接收器操作特性(ROC)分析已成功应用于放射学领域,以帮助确定系统和观察者的综合成效。这些方法对于评估新技术和现有技术以判断诊断准确性是否能够提高具有重要价值。在放射学的各个方面,都应遵循合理可行尽量低原则,这要求优化图像的诊断适用性。图像质量的物理测量方法长期以来一直用于评估系统性能,但仅凭这些方法不足以评估诊断能力。在任何诊断性能评估中都必须纳入观察者因素。自由响应ROC范式是传统ROC分析在统计学上的有力进展,通过在观察者置信水平上添加位置信息,能够对复杂图像进行精确解读。以下对自由响应ROC方法的综述将解释观察者性能方法如何在图像优化中发挥重要作用,包括这些方法在混合成像中已取得成功的示例。