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Characteristics of the group of radiologists that benefits the most using Breast Screen Reader Assessment Strategy (BREAST)

机译:使用乳腺屏幕阅读器评估策略(BREAST)受益最大的放射科医师的特征

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Purpose: To determine the impact of Breast Screen Reader Assessment Strategy (BREAST) over time in improving radiologists' breast cancer detection performance, and to identify the group of radiologists that benefit the most by using BREAST as a training tool.Materials and Methods: Thirty-six radiologists who completed three case-sets offered by BREAST were included in this study. The case-sets were arranged in radiologists' chronological order of completion and five performance measures (sensitivity, specificity, location sensitivity, receiver operating characteristics area under the curve (ROC AUC) and jackknife alternative free-response receiver operating characteristic (JAFROC) figure-of-merit (FOM)), available from BREAST, were compared between case-sets to determine the level of improvement achieved. The radiologists were then grouped based on their characteristics and the above performance measures between the case-sets were compared. Paired t-tests or Wilcoxon signed-rank tests with statistical significance set at p < 0.05 were used to compare the performance measures.Results: Significant improvement was demonstrated in radiologists' case-set performance in terms of location sensitivity and JAFROC FOM over the years, and radiologists' location sensitivity and JAFROC FOM showed significant improvement irrespective of their characteristics. In terms of ROC AUC, significant improvement was shown for radiologists who were reading screen mammograms for more than 7 years and spent more than 9 hours per week reading mammograms.Conclusion: Engaging with case-sets appears to enhance radiologists' performance suggesting the important value of initiatives such as BREAST. However, such performance enhancement was not shown for everyone, highlighting the need to tailor the BREAST platform to benefit all radiologists.
机译:目的:确定随着时间的推移,乳腺屏幕阅读器评估策略(BREAST)对提高放射科医生的乳腺癌检测性能的影响,并确定使用BREAST作为培训工具受益最大的放射科医生群体。材料与方法:30 -本研究包括完成BREAST提供的三个案例的六位放射科医生。案例集按放射科医生的完成时间顺序排列,并按五个性能指标(敏感性,特异性,位置敏感性,曲线下的接收器工作特性区域(ROC AUC)和折刀替代性自由响应接收器工作特性(JAFROC))进行了排列。可将BREAST的“优异奖(FOM)”与不同案例集进行比较,以确定所达到的改进水平。然后根据放射线医师的特征将放射线医师分组,并比较病例组之间的上述性能指标。配对的t检验或Wilcoxon符号秩检验的统计显着性设为p <0.05,以比较这些绩效指标。结果:多年来,放射科医生的病例组绩效在位置敏感性和JAFROC FOM方面表现出显着改善,而放射科医生的位置敏感性和JAFROC FOM则显示出明显的改善,而不论其特征如何。就ROC AUC而言,放射线检查员阅读屏幕X线照片超过7年并且每周花费9个小时以上的时间阅读放射线照片显示出显着改善。结论:参与病例研究似乎可以提高放射线医生的表现,这表明重要的价值诸如BREAST之类的倡议。但是,这种性能增强并未向所有人展示,突出表明需要定制BREAST平台以使所有放射科医生受益。

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