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Volumetric breast-density measurement using spectral photon-counting tomosynthesis: First clinical results
KTH, School of Engineering Sciences (SCI), Physics, Physics of Medical Imaging. Philips Health Systems, Sweden.ORCID iD: 0000-0001-9152-9089
2016 (English)In: 13th International Workshop on Breast Imaging, IWDM 2016, Springer, 2016, 576-584 p.Conference paper (Refereed)
Abstract [en]

Measurements of breast density have the potential to improve the efficiency and reduce the cost of screening mammography through personalized screening. Breast density has traditionally been evaluated from the dense area in a mammogram, but volumetric assessment methods, which measure the volumetric fraction of fibro-glandular tissue in the breast, are potentially more consistent and physically sound. The purpose of the present study is to evaluate a method for measuring the volumetric breast density using photon-counting spectral tomosynthesis. The performance of the method was evaluated using phantom measurements and clinical data from a small population (n = 18). The precision was determined to be 2.4 percentage points (pp) of volumetric breast density. Strong correlations were observed between contralateral (R2 = 0.95) and ipsilateral (R2 = 0.96) breast-density measurements. The measured breast density was anticorrelated to breast thickness, as expected, and exhibited a skewed distribution in the range [3.7%, 55%] and with a median of 18%. We conclude that the method yields promising results that are consistent with expectations. The relatively high precision of the method may enable novel applications such as treatment monitoring.

Place, publisher, year, edition, pages
Springer, 2016. 576-584 p.
Keyword [en]
Breast density, Photon counting, Spectral imaging, Tomosynthesis, Density measurement (specific gravity), Photons, Population statistics, Spectroscopy, Tomography, Phantom measurements, Treatment monitoring, Volumetric breast densities, Volumetric fractions, Medical imaging
National Category
Radiology, Nuclear Medicine and Medical Imaging
URN: urn:nbn:se:kth:diva-195532DOI: 10.1007/978-3-319-41546-8_72ISI: 000386324200072ScopusID: 2-s2.0-84977556169ISBN: 9783319415451OAI: diva2:1047788
19 June 2016 through 22 June 2016

QC 20161118

Available from: 2016-11-18 Created: 2016-11-03 Last updated: 2016-11-18Bibliographically approved

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