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Clinical Performance of Breast Tomosynthesis as a Function of Radiologist Experience Level

机译:乳腺骨折的临床表现作为放射科医师体验水平的函数

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This study reports the performance of breast tomosynthesis (3D images) combined with digital mammography (2D images), compared to digital mammography alone, as a function of the experience of the radiologist. In this trial, twelve readers analyzed 316 image sets, giving BIRADS (and other) scores first for the digital mammograms, and subsequently for the combined datasets of tomosynthesis and digital mammograms. Clinical performance was measured using two metrics: area under the ROC curve (AUROC) and recall rate, and was analyzed as a function of the experience level. The study found that all radiologists AUROC improved when using 3D+2D compared to 2D, with no correlation with experience level, increasing by 0.077±0.058 (mean±1 standard deviation) for the 5 least experienced and increasing by 0.078±0.029 for the 5 most experienced. Similarly, the use of 3D+2D compared to 2D imaging showed a mean decrease in recall rate of 39.2% for the most experienced and a decrease of 39.6% for the least experienced, again with no correlation found with experience level. In summary, radiologists with a range of experience demonstrated improved performance using tomosynthesis in combination with digital mammography (3D+2D), as measured using recall rate reduction and AUROC metrics.
机译:本研究报告了与单独的数字乳房X线照相相比,乳房断层合成(3D图像)与数字乳房X线照相术(2D图像)相结合的性能,作为放射科医师的经验。在此试验中,十二个读者分析了316个图像集,首先为数字乳房X光图提供了Birads(和其他)得分,随后用于Tomosynthesis和数字乳房X光图的组合数据集。使用两个度量测量临床表现:ROC曲线(AUROC)下的面积和召回率,并作为经验水平的函数进行分析。该研究发现,与2D相比使用3D + 2D的所有放射科医师AUROC改善,与经验水平没有相关性,对于5个最不经历并增加5077±0.058(平均±1标准偏差),5的5078±0.029最经验丰富。类似地,与2D成像相比,使用3D + 2D的使用表明,对于最经验丰富的召回率为39.2%的召回率为39.2%,再次发现39.6%,并且没有发现经验水平没有相关性。总之,具有多种经验的放射科医师使用召回速率降低和AUROC度量来测量的数字乳房X线摄像头(3D + 2D)结合使用Tomos合成而表现出改进的性能。

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