Paper
17 March 2015 Comparison of breast density measurements made using ultrasound tomography and mammography
Mark Sak, Neb Duric, Peter Littrup M.D., Lisa Bey-Knight, Mark Krycia, Mark E. Sherman, Norman Boyd, Gretchen L. Gierach
Author Affiliations +
Abstract
Women with elevated mammographic percent density, defined as the ratio of fibroglandular tissue area to total breast area on a mammogram are at an increased risk of developing breast cancer. Ultrasound tomography (UST) is an imaging modality that can create tomographic sound speed images of a patient’s breast, which can then be used to measure breast density. These sound speed images are useful because physical tissue density is directly proportional to sound speed. The work presented here updates previous results that compared mammographic breast density measurements with UST breast density measurements within an ongoing study. The current analysis has been expanded to include 158 women with negative digital mammographic screens who then underwent a breast UST scan. Breast density was measured for both imaging modalities and preliminary analysis demonstrated strong and positive correlations (Spearman correlation coefficient rs = 0.703). Additional mammographic and UST related imaging characteristics were also analyzed and used to compare the behavior of both imaging modalities. Results suggest that UST can be used among women with negative mammographic screens as a quantitative marker of breast density that may avert shortcomings of mammography.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mark Sak, Neb Duric, Peter Littrup M.D., Lisa Bey-Knight, Mark Krycia, Mark E. Sherman, Norman Boyd, and Gretchen L. Gierach "Comparison of breast density measurements made using ultrasound tomography and mammography", Proc. SPIE 9419, Medical Imaging 2015: Ultrasonic Imaging and Tomography, 94190R (17 March 2015); https://doi.org/10.1117/12.2082802
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Cited by 3 scholarly publications.
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KEYWORDS
Breast

Tissues

Mammography

Brain-machine interfaces

Ultrasound tomography

Breast cancer

Cancer

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