Paper
6 July 2018 Volumetric breast density measurement for personalized screening: accuracy, reproducibility, and agreement with visual assessment
Andreas Fieselmann, Daniel Förnvik, Hannie Förnvik, Kristina Lång, Hanna Sartor, Sophia Zackrisson, Ludwig Ritschl, Thomas Mertelmeier
Author Affiliations +
Proceedings Volume 10718, 14th International Workshop on Breast Imaging (IWBI 2018); 107180A (2018) https://doi.org/10.1117/12.2315069
Event: The Fourteenth International Workshop on Breast Imaging, 2018, Atlanta, Georgia, United States
Abstract
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 when to recommend supplemental imaging for women in a screening program. In this work, performance evaluation of a new software (Insight BD, Siemens Healthcare GmbH) for fast onsite quantification of volumetric breast density is presented. Accuracy of volumetric measurement is evaluated using breast tissue equivalent phantom experiments. Reproducibility of measurement results is analyzed using 8150 4-view mammography exams. Furthermore, agreement between breast density categories computed by the software with those determined visually by radiologists is examined. The results of the performance evaluation demonstrate that the software delivers accurate and reproducible measurements that agree well with the visual assessment of breast density by radiologists.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Andreas Fieselmann, Daniel Förnvik, Hannie Förnvik, Kristina Lång, Hanna Sartor, Sophia Zackrisson, Ludwig Ritschl, and Thomas Mertelmeier "Volumetric breast density measurement for personalized screening: accuracy, reproducibility, and agreement with visual assessment", Proc. SPIE 10718, 14th International Workshop on Breast Imaging (IWBI 2018), 107180A (6 July 2018); https://doi.org/10.1117/12.2315069
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KEYWORDS
Breast

Digital breast tomosynthesis

Tissues

Mammography

Medicine

Breast cancer

Image processing

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