Relationship between breast sound speed and mammographic percent density

Sak, Mark; Duric, Nebojsa; Boyd, Norman F.; Littrup, Peter J.; Myc, Lukasz; Faiz, Muhammad; Li, Cuiping; Bey-Knight, Lisa

doi:10.1117/12.878934

Cited by 7 publications

(7 citation statements)

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“…Previous work (Duric, et al 2013, Sak, et al 2012, Sak, et al 2011, Sak 2013) that examined the relationship between MPD and UST sound speed was based on participants with abnormalities who were not representative of the general (healthy) population. Density measurements from that group may have been influenced by (i) the presence of high sound speed masses which contaminated the breast density measurements and (ii) characterisitics of a participant population that is not disease free and whose breast density may therefore differ from the general population.…”

Section: Discussionmentioning

confidence: 99%

“…Mammographic percent density was measured by one reader (NFB) using the CUMULUS 4 software (University of Toronto, Ontario, Canada) (Byng, et al 1994). This interactive computer-assisted method was used to obtain measurements of the areas of dense tissue and total breast area on each mammogram in a similar manner to that reported in earlier work (Duric, et al 2013, Sak, et al 2012, Sak, et al. 2011, Sak 2013).…”

Section: Methodsmentioning

confidence: 99%

“…Operation of the UST devices has been described previously (Duric, et al 2013, Duric, et al 2009, Duric, et al 2007, Sak, et al 2012, Sak, et al 2011, Sak 2013). The participant lies prone on the device with their breast submerged in a water bath to act as an ultrasound coupler.…”

Section: Methodsmentioning

confidence: 99%

“…Previous work (Duric, et al 2013, Sak, et al 2012, Sak, et al 2011, Sak 2013) has compared breast density measurements between mammographic percent density with volume averaged sound speed and shown that the two different imaging modalities correlate strongly with each other. These results were accomplished using symptomatic participants that were not screened according to a standardized research protocol.…”

Section: Introductionmentioning

confidence: 99%

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Using Speed of Sound Imaging to Characterize Breast Density

Sak

Duric

Littrup

et al. 2017

Ultrasound in Medicine & Biology

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A population of 165 women with negative mammographic screens also received an ultrasound tomography (UST) exam at the Karmanos Cancer Institute (KCI) in Detroit, MI. Standard statistical techniques were employed to measure the associations between the various mammographic and UST related density measures and various participant characteristics such as age, weight and height. The Mammographic percent density (MPD) was found to have similar strength associations with UST mean sound speed (Spearman coefficient, rs = 0.722, p < 0.001) and UST median sound speed (rs = 0.737, p < 0.001). Both were stronger than the associations between MPD with two separate measures of UST percent density, a k-means (rs = 0.568, p < 0.001) or a threshold (rs = 0.715, p < 0.001) measure. Segmentation of the UST sound speed images into dense and non-dense volumes showed weak to moderate associations with the mammographically equivalent measures. Relationships were found to be inversely and weakly associated between age and the UST mean sound speed (rs = −0.239, p = 0.002), UST median sound speed (rs = −0.226, p= 0.004) and MPD (rs = −0.204, p= 0.008). Relationships were found to be inversely and moderately associated between BMI and the UST mean sound speed (rs = −0.429, p < 0.001), UST median sound speed (rs = −0.447, p < 0.001) and MPD (rs = −0.489, p < 0.001). The results confirm and strengthen findings presented in previous work indicating that UST sound speed imaging yields viable markers of breast density in a manner consistent with mammography, the current clinical standard. These results lay the groundwork for further studies to assess the role of sound speed imaging in risk prediction.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Using Speed of Sound Imaging to Characterize Breast Density

Sak

Duric

Littrup

et al. 2017

Ultrasound in Medicine & Biology

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“…3, [15][16][17][18][19][20][21] Of additional importance, UST provides the opportunity to conduct serial breast scans without the risk of ionizing radiation and to monitor changes in breast density over time. 18 Obtaining reliable estimates of density change is clinically relevant as a growing number of studies have demonstrated that changes in breast density are associated with response to some breast cancer treatments, such as tamoxifen.…”

Section: Introductionmentioning

confidence: 99%

Determinants of the reliability of ultrasound tomography sound speed estimates as a surrogate for volumetric breast density

et al. 2015

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Purpose: High breast density, as measured by mammography, is associated with increased breast cancer risk, but standard methods of assessment have limitations including 2D representation of breast tissue, distortion due to breast compression, and use of ionizing radiation. Ultrasound tomography (UST) is a novel imaging method that averts these limitations and uses sound speed measures rather than x-ray imaging to estimate breast density. The authors evaluated the reproducibility of measures of speed of sound and changes in this parameter using UST. Methods: One experienced and five newly trained raters measured sound speed in serial UST scans for 22 women (two scans per person) to assess inter-rater reliability. Intrarater reliability was assessed for four raters. A random effects model was used to calculate the percent variation in sound speed and change in sound speed attributable to subject, scan, rater, and repeat reads. The authors estimated the intraclass correlation coefficients (ICCs) for these measures based on data from the authors' experienced rater. Results: Median (range) time between baseline and follow-up UST scans was five (1-13) months. Contributions of factors to sound speed variance were differences between subjects (86.0%), baseline versus follow-up scans (7.5%), inter-rater evaluations (1.1%), and intrarater reproducibility (∼0%). When evaluating change in sound speed between scans, 2.7% and ∼0% of variation were attributed to inter-and intrarater variation, respectively. For the experienced rater's repeat reads, agreement for sound speed was excellent (ICC = 93.4%) and for change in sound speed substantial (ICC = 70.4%), indicating very good reproducibility of these measures. Conclusions: UST provided highly reproducible sound speed measurements, which reflect breast density, suggesting that UST has utility in sensitively assessing change in density. C 2015 American Association of Physicists in Medicine. [http://dx

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3D ABVS Technique on ACUSON S2000 ABVS

Gazhonova

2016

3D Automated Breast Volume Sonography

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Relationship between breast sound speed and mammographic percent density

Cited by 7 publications

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Using Speed of Sound Imaging to Characterize Breast Density

Using Speed of Sound Imaging to Characterize Breast Density

Determinants of the reliability of ultrasound tomography sound speed estimates as a surrogate for volumetric breast density

3D ABVS Technique on ACUSON S2000 ABVS

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