Servicio de Diagnóstico por imágenes, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina.
Departamento de Informática en Salud, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina.
Radiologia (Engl Ed). 2020 Nov-Dec;62(6):481-486. doi: 10.1016/j.rx.2020.04.006. Epub 2020 May 31.
To determine the level of agreement within and between observers in the categorization of breast density on mammograms in a group of professionals using the fifth edition of the American College of Radiology's BI-RADS® Atlas and to analyze the concordance between experts' categorization and automatic categorization by commercial software on digital mammograms.
Six radiologists categorized breast density on 451 mammograms on two occasions one month apart. We calculated the linear weighted kappa coefficients for inter- and intra-observer agreement for the group of radiologists and between the commercial software and the majority report. We analyzed the results for the four categories of breast density and for dichotomous classification as dense versus not dense.
The interobserver agreement among radiologists and the majority report was between moderate and nearly perfect for the analysis by category (κ=0.64 to 0.84) and for the dichotomous classification (κ=0.63 to 0.84). The intraobserver agreement was between substantial and nearly perfect (κ=0.68 to 0.85 for 4 categories and k=0.70 to 0.87 for the dichotomous classification). The agreement between the majority report and the commercial software was moderate both for the four categories (κ=0.43) and for the dichotomous classification (κ=0.51).
Agreement on breast density within and between radiologists using the criteria established in the fifth edition of the BI-RADS® Atlas was between moderate and nearly perfect. The level of agreement between the specialists and the commercial software was moderate.
使用美国放射学院第五版 BI-RADS®图谱，确定一组专业人员在乳腺 X 光片上乳腺密度分类中观察者内和观察者间的一致性，并分析专家分类与商用软件对数字乳腺 X 光片自动分类的一致性。
6 名放射科医生在两次相隔一个月的时间里对 451 张乳腺 X 光片进行了乳腺密度分类。我们计算了放射科医生组的组内和组间观察者一致性的线性加权 kappa 系数，以及商用软件与多数报告之间的一致性。我们分析了四种乳腺密度类别和二分类（致密与非致密）的结果。
放射科医生之间以及与多数报告的观察者间一致性在分类分析中为中度到近乎完美（κ=0.64 到 0.84），在二分类分析中为中度到近乎完美（κ=0.63 到 0.84）。观察者内一致性在实质到近乎完美之间（κ=0.68 到 0.85，4 个类别和κ=0.70 到 0.87，二分类）。多数报告与商用软件之间的一致性在 4 个类别（κ=0.43）和二分类（κ=0.51）中均为中度。
使用第五版 BI-RADS®图谱中建立的标准，放射科医生内部和放射科医生之间在乳腺密度分类上的一致性在中度到近乎完美之间。专家与商用软件之间的一致性水平为中度。
