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Proceedings Paper

Relationship between breast sound speed and mammographic percent density
Author(s): Mark Sak; Nebojsa Duric; Norman Boyd; Peter Littrup; Lukasz Myc; Muhammad Faiz; Cuiping Li; Lisa Bey-Knight
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Paper Abstract

Despite some shortcomings, mammography is currently the standard of care for breast cancer screening and diagnosis. However, breast ultrasound tomography is a rapidly developing imaging modality that has the potential to overcome the drawbacks of mammography. It is known that women with high breast densities have a greater risk of developing breast cancer. Measuring breast density is accomplished through the use of mammographic percent density, defined as the ratio of fibroglandular to total breast area. Using an ultrasound tomography (UST) prototype, we created sound speed images of the patient's breast, motivated by the fact that sound speed in a tissue is proportional to the density of the tissue. The purpose of this work is to compare the acoustic performance of the UST system with the measurement of mammographic percent density. A cohort of 251 patients was studied using both imaging modalities and the results suggest that the volume averaged breast sound speed is significantly related to mammographic percent density. The Spearman correlation coefficient was found to be 0.73 for the 175 film mammograms and 0.69 for the 76 digital mammograms obtained. Since sound speed measurements do not require ionizing radiation or physical compression, they have the potential to form the basis of a safe, more accurate surrogate marker of breast density.

Paper Details

Date Published: 25 March 2011
PDF: 7 pages
Proc. SPIE 7968, Medical Imaging 2011: Ultrasonic Imaging, Tomography, and Therapy, 79680N (25 March 2011); doi: 10.1117/12.878934
Show Author Affiliations
Mark Sak, Karmanos Cancer Institute, Wayne State Univ. (United States)
Nebojsa Duric, Karmanos Cancer Institute, Wayne State Univ. (United States)
Norman Boyd, Princess Margaret Hospital (Canada)
Peter Littrup, Karmanos Cancer Institute, Wayne State Univ. (United States)
Lukasz Myc, Karmanos Cancer Institute, Wayne State Univ. (United States)
Muhammad Faiz, Karmanos Cancer Institute, Wayne State Univ. (United States)
Cuiping Li, Karmanos Cancer Institute, Wayne State Univ. (United States)
Lisa Bey-Knight, Karmanos Cancer Institute, Wayne State Univ. (United States)


Published in SPIE Proceedings Vol. 7968:
Medical Imaging 2011: Ultrasonic Imaging, Tomography, and Therapy
Jan D'hooge; Marvin M. Doyley, Editor(s)

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