Skip to main content
Top
Published in: European Radiology 8/2018

01-08-2018 | Breast

Breast-density assessment with hand-held ultrasound: A novel biomarker to assess breast cancer risk and to tailor screening?

Authors: Sergio J. Sanabria, Orcun Goksel, Katharina Martini, Serafino Forte, Thomas Frauenfelder, Rahel A. Kubik-Huch, Marga B. Rominger

Published in: European Radiology | Issue 8/2018

Login to get access

Abstract

Objectives

To assess feasibility and diagnostic accuracy of a novel hand-held ultrasound (US) method for breast density assessment that measures the speed of sound (SoS), in comparison to the ACR mammographic (MG) categories.

Methods

ACR-MG density (a=fatty to d=extremely dense) and SoS-US were assessed in the retromamillary, inner and outer segments of 106 women by two radiographers. A conventional US system was used for SoS-US. A reflector served as timing reference for US signals transmitted through the breasts. Four blinded readers assessed average SoS (m/s), ΔSoS (segment-variation SoS; m/s) and the ACR-MG density. The highest SoS and ΔSoS values of the three segments were used for MG-ACR whole breast comparison.

Results

SoS-US breasts were examined in <2 min. Mean SoS values of densities a-d were 1,421 m/s (SD 14), 1,432 m/s (SD 17), 1,448 m/s (SD 20) and 1,500 m/s (SD 31), with significant differences between all groups (p<0.001). The SoS-US comfort scores and inter-reader agreement were significantly better than those for MG (1.05 vs. 2.05 and 0.982 vs. 0.774; respectively). A strong segment correlation between SoS and ACR-MG breast density was evident (rs=0.622, p=<0.001) and increased for full breast classification (rs=0.746, p=<0.001). SoS-US allowed diagnosis of dense breasts (ACR c and d) with sensitivity 86.2 %, specificity 85.2 % and AUC 0.887.

Conclusions

Using hand-held SoS-US, radiographers measured breast density without discomfort, readers evaluated measurements with high inter-reader agreement, and SoS-US correlated significantly with ACR-MG breast-density categories.

Key Points

• The novel speed-of-sound ultrasound correlated significantly with mammographic ACR breast density categories.
• Radiographers measured breast density without women discomfort or radiation.
• SoS-US can be implemented on a standard US machine.
• SoS-US shows potential for a quantifiable, cost-effective assessment of breast density.
Literature
1.
go back to reference Boyd NF, Martin LJ, Bronskill M, Yaffe MJ, Duric N, Minkin S (2010) Breast tissue composition and susceptibility to breast cancer. J Natl Cancer Inst 102:1224–1237CrossRefPubMedPubMedCentral Boyd NF, Martin LJ, Bronskill M, Yaffe MJ, Duric N, Minkin S (2010) Breast tissue composition and susceptibility to breast cancer. J Natl Cancer Inst 102:1224–1237CrossRefPubMedPubMedCentral
2.
go back to reference Pettersson A, Graff RE, Ursin G et al (2014) Mammographic density phenotypes and risk of breast cancer: a meta-analysis. J Natl Cancer Inst 106:1–11CrossRef Pettersson A, Graff RE, Ursin G et al (2014) Mammographic density phenotypes and risk of breast cancer: a meta-analysis. J Natl Cancer Inst 106:1–11CrossRef
3.
go back to reference Boyd NF, Huszti E, Melnichouk O et al (2014) Mammographic features associated with interval breast cancers in screening programs. Breast Cancer Res 16:417CrossRefPubMedPubMedCentral Boyd NF, Huszti E, Melnichouk O et al (2014) Mammographic features associated with interval breast cancers in screening programs. Breast Cancer Res 16:417CrossRefPubMedPubMedCentral
4.
go back to reference Bae MS, Moon WK, Chang JM et al (2014) Breast cancer detected with screening US: reasons for nondetection at mammography. Radiology 270:369–377CrossRefPubMed Bae MS, Moon WK, Chang JM et al (2014) Breast cancer detected with screening US: reasons for nondetection at mammography. Radiology 270:369–377CrossRefPubMed
5.
go back to reference Jeffers AM, Sieh W, Lipson JA et al (2017) Breast Cancer Risk and Mammographic Density Assessed with Semiautomated and Fully Automated Methods and BI-RADS. Radiology 282:348–355CrossRefPubMed Jeffers AM, Sieh W, Lipson JA et al (2017) Breast Cancer Risk and Mammographic Density Assessed with Semiautomated and Fully Automated Methods and BI-RADS. Radiology 282:348–355CrossRefPubMed
6.
go back to reference Hooley RJ (2017) Breast Density Legislation and Clinical Evidence. Radiol Clin North Am 55:513–526CrossRefPubMed Hooley RJ (2017) Breast Density Legislation and Clinical Evidence. Radiol Clin North Am 55:513–526CrossRefPubMed
7.
go back to reference Maimome S, McDonough M (2017) Dense breast notification and supplemental screening: a survey of current strategies and sentiments. Breast journal 23:193–199CrossRef Maimome S, McDonough M (2017) Dense breast notification and supplemental screening: a survey of current strategies and sentiments. Breast journal 23:193–199CrossRef
8.
go back to reference Emaus M, Bakker M, Peeters P et al (2015) MR imaging as an additional screening modality for the detection of breast cancer in women aged 50-75 years with extremely dense breasts: the DENSE trial study design. Radiology 277:527–537CrossRefPubMed Emaus M, Bakker M, Peeters P et al (2015) MR imaging as an additional screening modality for the detection of breast cancer in women aged 50-75 years with extremely dense breasts: the DENSE trial study design. Radiology 277:527–537CrossRefPubMed
9.
go back to reference Weigert JM (2017) The Connecticut Experiment, the third instalment: 4 years of screening women with dense breasts with bilateral ultrasound. Breast journal 23:34–39CrossRefPubMed Weigert JM (2017) The Connecticut Experiment, the third instalment: 4 years of screening women with dense breasts with bilateral ultrasound. Breast journal 23:34–39CrossRefPubMed
10.
go back to reference Sickles E, D’Orsi CJ, Bassett LW et al (2013) ACR BI-RADS® Mammography. In: ACR BI-RADS® Atlas, Breast Imaging Reporting and Data System. American College of Radiology, Reston, VA Sickles E, D’Orsi CJ, Bassett LW et al (2013) ACR BI-RADS® Mammography. In: ACR BI-RADS® Atlas, Breast Imaging Reporting and Data System. American College of Radiology, Reston, VA
11.
go back to reference Duric N, Boyd N, Littrup P et al (2013) Breast density measurements with ultrasound tomography: a comparison with film and digital mammography. Med Phys 40:013501CrossRefPubMedPubMedCentral Duric N, Boyd N, Littrup P et al (2013) Breast density measurements with ultrasound tomography: a comparison with film and digital mammography. Med Phys 40:013501CrossRefPubMedPubMedCentral
12.
go back to reference Duric N, Littrup P, Poulo L et al (2007) Detection of breast cancer with ultrasound tomography: first results with the Computed Ultrasound Risk Evaluation (CURE) prototype. Med Phys 34:773–785CrossRefPubMed Duric N, Littrup P, Poulo L et al (2007) Detection of breast cancer with ultrasound tomography: first results with the Computed Ultrasound Risk Evaluation (CURE) prototype. Med Phys 34:773–785CrossRefPubMed
13.
go back to reference O'Flynn EA, Fromageau J, Ledger AE et al (2017) Ultrasound Tomography Evaluation of Breast Density: A Comparison With Noncontrast Magnetic Resonance Imaging. Invest Radiol 52:343–348CrossRefPubMedPubMedCentral O'Flynn EA, Fromageau J, Ledger AE et al (2017) Ultrasound Tomography Evaluation of Breast Density: A Comparison With Noncontrast Magnetic Resonance Imaging. Invest Radiol 52:343–348CrossRefPubMedPubMedCentral
14.
go back to reference Sak M, Duric N, Littrup P et al (2017) Using Speed of Sound Imaging to Characterize Breast Density. Ultrasound Med Biol 43:91–103CrossRefPubMed Sak M, Duric N, Littrup P et al (2017) Using Speed of Sound Imaging to Characterize Breast Density. Ultrasound Med Biol 43:91–103CrossRefPubMed
15.
go back to reference Sak M, Duric N, Littrup P et al (2013) Breast density measurements using ultrasound tomography for patients undergoing tamoxifen treatment. Proc SPIE Int Soc Opt Eng 8675:86751ePubMedPubMedCentral Sak M, Duric N, Littrup P et al (2013) Breast density measurements using ultrasound tomography for patients undergoing tamoxifen treatment. Proc SPIE Int Soc Opt Eng 8675:86751ePubMedPubMedCentral
16.
go back to reference Ruiter NV, Zapf M, Hopp T et al (2012) 3D ultrasound computer tomography of the breast: a new era? Eur J Radiol 81:S133–S134CrossRefPubMed Ruiter NV, Zapf M, Hopp T et al (2012) 3D ultrasound computer tomography of the breast: a new era? Eur J Radiol 81:S133–S134CrossRefPubMed
17.
go back to reference Chivers RC, Parry RJ (1978) Ultrasonic velocity and attenuation in mammalian tissues. The Journal of the Acoustical Society of America 63:940–953CrossRefPubMed Chivers RC, Parry RJ (1978) Ultrasonic velocity and attenuation in mammalian tissues. The Journal of the Acoustical Society of America 63:940–953CrossRefPubMed
18.
go back to reference Sanabria SJ, Goksel O (2016) Hand-held medical ultrasound apparatus and system for determining a tomographic image. PCT/EP2016/070321 (patent pending) Sanabria SJ, Goksel O (2016) Hand-held medical ultrasound apparatus and system for determining a tomographic image. PCT/EP2016/070321 (patent pending)
19.
go back to reference Sanabria SJ, Goksel O (2016) Hand-held sound-speed mammography based on ultrasound reflector tracking. In: Ourselin S et al (eds) MICCAI2016, Part I, LNCS, vol 9900, pp 568–576 Sanabria SJ, Goksel O (2016) Hand-held sound-speed mammography based on ultrasound reflector tracking. In: Ourselin S et al (eds) MICCAI2016, Part I, LNCS, vol 9900, pp 568–576
20.
go back to reference Glide-Hurst CK, Duric N, Littrup P (2008) Volumetric breast density evaluation from ultrasound tomography images. Med Phys 35:3988–3997CrossRefPubMed Glide-Hurst CK, Duric N, Littrup P (2008) Volumetric breast density evaluation from ultrasound tomography images. Med Phys 35:3988–3997CrossRefPubMed
21.
go back to reference Meyers CRaTEB (1962) Measurement in physical education. Ronald Press, New York Meyers CRaTEB (1962) Measurement in physical education. Ronald Press, New York
22.
go back to reference Bland JM, Altman DG (1986) Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1:307–310CrossRefPubMed Bland JM, Altman DG (1986) Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1:307–310CrossRefPubMed
23.
go back to reference Evans JD (1996) Straightforward statistics for the behavioral sciences. Brooks/Cole Publishing, Pacific Grove, CA, USA Evans JD (1996) Straightforward statistics for the behavioral sciences. Brooks/Cole Publishing, Pacific Grove, CA, USA
24.
go back to reference Gail MH, Brinton LA, Byar DP et al (1989) Projecting individualized probabilities of developing breast cancer for white females who are being examined annually. J Natl Cancer Inst 81:1879–1886CrossRefPubMed Gail MH, Brinton LA, Byar DP et al (1989) Projecting individualized probabilities of developing breast cancer for white females who are being examined annually. J Natl Cancer Inst 81:1879–1886CrossRefPubMed
25.
go back to reference Bae JM, Kim EH (2016) Breast Density and Risk of Breast Cancer in Asian Women: A Meta-analysis of Observational Studies. J Prev Med Public Health 49:367–375CrossRefPubMedPubMedCentral Bae JM, Kim EH (2016) Breast Density and Risk of Breast Cancer in Asian Women: A Meta-analysis of Observational Studies. J Prev Med Public Health 49:367–375CrossRefPubMedPubMedCentral
26.
go back to reference McCormack VA, dos Santos SI (2006) Breast density and parenchymal patterns as markers of breast cancer risk: A meta-analysis. Cancer Epidemiol Biomarkers 15:1159–1169CrossRef McCormack VA, dos Santos SI (2006) Breast density and parenchymal patterns as markers of breast cancer risk: A meta-analysis. Cancer Epidemiol Biomarkers 15:1159–1169CrossRef
27.
go back to reference Huo CW, Chew GL, Britt KL et al (2014) Mammographic density-a review on the current understanding of its association with breast cancer. Breast Cancer Res Treat 144:479–502CrossRefPubMed Huo CW, Chew GL, Britt KL et al (2014) Mammographic density-a review on the current understanding of its association with breast cancer. Breast Cancer Res Treat 144:479–502CrossRefPubMed
28.
go back to reference Brentnall AR, Harkness EF, Astley SM et al (2015) Mammographic density adds accuracy to both the Tyrer-Cuzick and Gail breast cancer risk models in a prospective UK screening cohort. Breast Cancer Res 17:147CrossRefPubMedPubMedCentral Brentnall AR, Harkness EF, Astley SM et al (2015) Mammographic density adds accuracy to both the Tyrer-Cuzick and Gail breast cancer risk models in a prospective UK screening cohort. Breast Cancer Res 17:147CrossRefPubMedPubMedCentral
29.
go back to reference Alshafeiy TI, Wadih A, Nicholson BT et al (2017) Comparison Between Digital and Synthetic 2D Mammograms in Breast Density Interpretation. AJR Am J Roentgenol 209:w36–w41CrossRefPubMed Alshafeiy TI, Wadih A, Nicholson BT et al (2017) Comparison Between Digital and Synthetic 2D Mammograms in Breast Density Interpretation. AJR Am J Roentgenol 209:w36–w41CrossRefPubMed
30.
go back to reference Conant EF, Keller BM, Pantalone L, Gastounioti A, McDonald ES, Kontos D (2017) Agreement between Breast Percentage Density Estimations from Standard-Dose versus Synthetic Digital Mammograms: Results from a Large Screening Cohort Using Automated Measures. Radiology 283:673–680CrossRefPubMedPubMedCentral Conant EF, Keller BM, Pantalone L, Gastounioti A, McDonald ES, Kontos D (2017) Agreement between Breast Percentage Density Estimations from Standard-Dose versus Synthetic Digital Mammograms: Results from a Large Screening Cohort Using Automated Measures. Radiology 283:673–680CrossRefPubMedPubMedCentral
31.
go back to reference Maskarinec G, Morimoto Y, Daida Y et al (2011) Comparison of breast density measured by dual energy X-ray absorptiometry with mammographic density among adult women in Hawaii. Cancer Epidemiol 35:188–193CrossRefPubMed Maskarinec G, Morimoto Y, Daida Y et al (2011) Comparison of breast density measured by dual energy X-ray absorptiometry with mammographic density among adult women in Hawaii. Cancer Epidemiol 35:188–193CrossRefPubMed
32.
go back to reference Kim WH, Chang JM, Lee J et al (2017) Diagnostic performance of tomosynthesis and breast ultrasonography in women with dense breasts: a prospective comparison study. Breast Cancer Res Treat 162:85–94CrossRefPubMed Kim WH, Chang JM, Lee J et al (2017) Diagnostic performance of tomosynthesis and breast ultrasonography in women with dense breasts: a prospective comparison study. Breast Cancer Res Treat 162:85–94CrossRefPubMed
34.
go back to reference Glide C, Duric N, Littrup P (2007) Novel approach to evaluating breast density utilizing ultrasound tomography. Med Phys 34:744–753CrossRefPubMed Glide C, Duric N, Littrup P (2007) Novel approach to evaluating breast density utilizing ultrasound tomography. Med Phys 34:744–753CrossRefPubMed
35.
go back to reference Becker AS, Marcon M, Ghafoor S, Wurnig MC, Frauenfelder T, Boss A (2017) Deep learning in mammographic diagnostic accuracy of a multipurpose image analysis software in the detection of breast cancer. Investigative Radiology 52:434–440CrossRefPubMed Becker AS, Marcon M, Ghafoor S, Wurnig MC, Frauenfelder T, Boss A (2017) Deep learning in mammographic diagnostic accuracy of a multipurpose image analysis software in the detection of breast cancer. Investigative Radiology 52:434–440CrossRefPubMed
36.
37.
go back to reference Brentnall AR, Harkness EF, Astley M et al (2015) Mammographic density adds accuracy to both the Tyrer-Cuzick and Gail breast cancer risk models in a prospective UK screening cohort. Breast Cancer Res 17:147CrossRefPubMedPubMedCentral Brentnall AR, Harkness EF, Astley M et al (2015) Mammographic density adds accuracy to both the Tyrer-Cuzick and Gail breast cancer risk models in a prospective UK screening cohort. Breast Cancer Res 17:147CrossRefPubMedPubMedCentral
38.
go back to reference Ekpo EU, Mello-Thoms C, Rickard M, Brennan PC, McEntee MF (2016) Breast density (BD) assessment with digital breast tomosynthesis (DBT): Agreement between Quantra and 5th edition BI-RADS(R). Breast 30:185–190CrossRefPubMed Ekpo EU, Mello-Thoms C, Rickard M, Brennan PC, McEntee MF (2016) Breast density (BD) assessment with digital breast tomosynthesis (DBT): Agreement between Quantra and 5th edition BI-RADS(R). Breast 30:185–190CrossRefPubMed
39.
go back to reference Irshad A, Leddy R, Ackerman S et al (2016) Effects of Changes in BI-RADS Density Assessment Guidelines (Fourth Versus Fifth Edition) on Breast Density Assessment: Intra- and Interreader Agreements and Density Distribution. AJR Am J Roentgenol 207:1366–1371CrossRefPubMed Irshad A, Leddy R, Ackerman S et al (2016) Effects of Changes in BI-RADS Density Assessment Guidelines (Fourth Versus Fifth Edition) on Breast Density Assessment: Intra- and Interreader Agreements and Density Distribution. AJR Am J Roentgenol 207:1366–1371CrossRefPubMed
40.
go back to reference Khodr ZG, Sak MA, Pfeiffer RM et al (2015) Determinants of the reliability of ultrasound tomography sound speed estimates as a surrogate for volumetric breast density. Med Phys 42:5671–5678CrossRefPubMedPubMedCentral Khodr ZG, Sak MA, Pfeiffer RM et al (2015) Determinants of the reliability of ultrasound tomography sound speed estimates as a surrogate for volumetric breast density. Med Phys 42:5671–5678CrossRefPubMedPubMedCentral
41.
go back to reference Kallenberg M, Petersen K, Nielsen M et al (2016) Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring. IEEE Trans Med Imaging 35:1322–1331CrossRefPubMed Kallenberg M, Petersen K, Nielsen M et al (2016) Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring. IEEE Trans Med Imaging 35:1322–1331CrossRefPubMed
42.
go back to reference Glozman T, Azhari H (2010) A method for characterization of tissue elastic properties combining ultrasonic computed tomography with elastography. J Ultrasound Med 29:387–398CrossRefPubMed Glozman T, Azhari H (2010) A method for characterization of tissue elastic properties combining ultrasonic computed tomography with elastography. J Ultrasound Med 29:387–398CrossRefPubMed
44.
go back to reference Zografos G, Liakou P, Koulocheri D et al (2015) Differentiation of BIRADS-4 small breast lesions via multimodal ultrasound tomography. Eur Radiol 25:410–418CrossRefPubMed Zografos G, Liakou P, Koulocheri D et al (2015) Differentiation of BIRADS-4 small breast lesions via multimodal ultrasound tomography. Eur Radiol 25:410–418CrossRefPubMed
45.
go back to reference White E, Valentgas P, Mandelson MT et al (1998) Variation in mammographic breast density by time in menstrual cycle among women aged 40-49 years. J Natl Cancer Inst 90:906–910CrossRefPubMed White E, Valentgas P, Mandelson MT et al (1998) Variation in mammographic breast density by time in menstrual cycle among women aged 40-49 years. J Natl Cancer Inst 90:906–910CrossRefPubMed
Metadata
Title
Breast-density assessment with hand-held ultrasound: A novel biomarker to assess breast cancer risk and to tailor screening?
Authors
Sergio J. Sanabria
Orcun Goksel
Katharina Martini
Serafino Forte
Thomas Frauenfelder
Rahel A. Kubik-Huch
Marga B. Rominger
Publication date
01-08-2018
Publisher
Springer Berlin Heidelberg
Published in
European Radiology / Issue 8/2018
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-017-5287-9

Other articles of this Issue 8/2018

European Radiology 8/2018 Go to the issue