Fieselmann Andreas, Förnvik Daniel, Förnvik Hannie, Lång Kristina, Sartor Hanna, Zackrisson Sophia, Kappler Steffen, Ritschl Ludwig, Mertelmeier Thomas
Siemens Healthcare GmbH, Forchheim, Germany.
Lund University and Skåne University Hospital, Department of Translational Medicine, Malmö, Sweden.
J Med Imaging (Bellingham). 2019 Jul;6(3):031406. doi: 10.1117/1.JMI.6.3.031406. Epub 2019 Feb 5.
Assessment of breast density at the point of mammographic examination could lead to optimized breast cancer screening pathways. The onsite breast density information may offer guidance of when to recommend supplemental imaging for women in a screening program. A software application (Insight BD, Siemens Healthcare GmbH) for fast onsite quantification of volumetric breast density is evaluated. The accuracy of the method is assessed using breast tissue equivalent phantom experiments resulting in a mean absolute error of 3.84%. Reproducibility of measurement results is analyzed using 8427 exams in total, comparing for each exam (if available) the densities determined from left and right views, from cranio-caudal and medio-lateral oblique views, from full-field digital mammograms (FFDM) and digital breast tomosynthesis (DBT) data and from two subsequent exams of the same breast. Pearson correlation coefficients of 0.937, 0.926, 0.950, and 0.995 are obtained. Consistency of the results is demonstrated by evaluating the dependency of the breast density on women's age. Furthermore, the agreement between breast density categories computed by the software with those determined visually by 32 radiologists is shown by an overall percentage agreement of 69.5% for FFDM and by 64.6% for DBT data. These results demonstrate that the software delivers accurate, reproducible, and consistent measurements that agree well with the visual assessment of breast density by radiologists.
在乳腺钼靶检查时评估乳腺密度有助于优化乳腺癌筛查途径。现场乳腺密度信息可为筛查项目中女性何时推荐补充影像检查提供指导。本文评估了一款用于快速现场定量乳腺体积密度的软件应用程序（Insight BD，西门子医疗有限公司）。通过乳腺组织等效体模实验评估该方法的准确性，平均绝对误差为3.84%。总共使用8427次检查分析测量结果的可重复性，比较每次检查（若有）左右视图、头尾位和内外斜位视图、全视野数字乳腺钼靶（FFDM）和数字乳腺断层合成（DBT）数据以及同一乳腺的两次后续检查所确定的密度。得到的Pearson相关系数分别为0.937、0.926、0.950和0.995。通过评估乳腺密度与女性年龄的相关性来证明结果的一致性。此外，软件计算的乳腺密度类别与32位放射科医生视觉判定的类别之间的一致性显示，FFDM的总体一致率为69.5%，DBT数据的总体一致率为64.6%。这些结果表明，该软件提供的测量结果准确、可重复且一致，与放射科医生对乳腺密度的视觉评估结果吻合良好。
