Whole Breast Sound Speed Measurement from US Tomography Correlates Strongly with Volumetric Breast Density from Mammography. Issue 5 (17th July 2020)

• Record Type: Journal Article
• Authors: Sak, Mark; Littrup, Peter; Brem, Rachel; Duric, Neb
• Is Part Of: Journal of breast imaging. Volume 2:Issue 5(2020)
• Page Start: 443
• Page End: 451
• Publication Date: 2020-07-17
• Subjects: US tomography -- breast density -- sound speed -- breast cancer risk; Breast -- Imaging -- Periodicals; Breast -- Cancer -- Diagnosis -- Periodicals; 616.994490
• DOI: 10.1093/jbi/wbaa052
• Languages: English
• ISSNs: 2631-6110

Abstract

Abstract: Objective: To assess the feasibility of using tissue sound speed as a quantitative marker of breast density. Methods: This study was carried out under an Institutional Review Board–approved protocol (written consent required). Imaging data were selected retrospectively based on the availability of US tomography (UST) exams, screening mammograms with volumetric breast density data, patient age of 18 to 80 years, and weight less than 300 lbs. Sound speed images from the UST exams were used to measure the volume of dense tissue, the volume averaged sound speed (VASS), and the percent of high sound speed tissue (PHSST). The mammographic breast density and volume of dense tissue were estimated with three-dimensional (3D) software. Differences in volumes were assessed with paired t-tests. Spearman correlation coefficients were calculated to determine the strength of the correlations between the mammographic and UST assessments of breast density. Results: A total of 100 UST and 3D mammographic data sets met the selection criteria. The resulting measurements showed that UST measured a more than 2-fold larger volume of dense tissue compared to mammography. The differences were statistically significant ( P < 0.001). A strong correlation of rS = 0.85 (95% CI: 0.79–0.90) between 3D mammographic breast density (BD) and the VASS was noted. This correlation is significantly stronger than those reported in previous two-dimensional studies (rS = 0.85 vs rS = 0.71). A similar correlation was found for PHSST and mammographic BD with rS = 0.86 (95% CI: 0.80–0.90). Conclusion: The strong correlations between UST parameters and 3D mammographic BD suggest that breast sound speed should be further studied as a potential new marker for inclusion in clinical risk models.