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Influencing Clinicians and Healthcare Managers: Can ROC be morepersuasive?

机译:影响临床医生和医疗保健管理人员:ROC可以更多地成为努力吗?

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Receiver Operating Characteristic analysis provides a reliable and cost effective performance measurement tool, without using full clinical trials. However, when ROC analysis shows that performance is statistically superior in one condition than another it is difficult to relate this result to effects in practice, or even to determine whether it is clinically significant. In this paper we present two concurrent analyses: using ROC methods alongside single threshold recall rate data, and suggest that reporting both provides complimentary data. Four mammographers read 160 difficult cases (41% malignant) twice, with and without prior mammograms. Lesion location and probability of malignancy was reported for each case and analyzed using JAFROC. Concurrently each participant chose recall or return to screen for each case. JAFROC analysis showed that the presence of prior mammograms improved performance (p<.05). Single threshold data showed a trend towards a 26% increase in the number of false positive recalls without prior mammograms (p=.056). If this trend were present throughout the NHS Breast Screening Programme then discarding prior mammograms would correspond to an increase in recall rate from 4.6% to 5.3%, and 12,414 extra women recalled annually for assessment. Whilst ROC methods account for all possible thresholds of recall and have higher power, providing a single threshold example of false positive, false negative, and recall rates when reporting results could be more influential for clinicians. This paper discusses whether this is a useful additional method of presenting data, or whether it is misleading and inaccurate.
机译:接受者操作特征分析提供了可靠的且成本有效的性能测量工具,而无需使用完整的临床试验。然而,当ROC分析表明,性能比另外一个条件优越的统计也很难这个结果涉及到的效果在实践中,甚至以确定它是否是临床上显著。在本文中,我们目前的两个并行分析:使用ROC方法一起单一阈值召回率数据,并建议报告方面的提供免费数据。四个mammographers读160困难的情况下(41%恶性)两次,用和没有事先乳房X线照片。病变的部位和恶性肿瘤的概率报道了各种情况下使用JAFROC分析。同时每个参与者选择了召回或返回到屏幕为每个个案。 JAFROC分析表明,乳房X线照片之前的存在改善的性能(P <0.05)。单个阈值的数据显示朝向假阳性的数目增加了26%的趋势回顾无需事先乳房X线照片(p值= 0.056)。如果这种趋势在整个NHS乳腺普查计划,然后丢弃前乳房X线照片将对应于召回率增长4.6%〜5.3%,目前,和12414层多的女性每年进行评估召回。虽然ROC方法占召回所有可能的阈值,并有更高的功率,提供假阳性,假阴性和召回率的单阈值例如,当报告结果可为临床医生更有影响力。本文讨论这是否是表示数据的有用的附加的方法,或者它是否是误导和不准确的。

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