Literature DB >> 27692872

Using Speed of Sound Imaging to Characterize Breast Density.

Mark Sak1, Neb Duric2, Peter Littrup3, Lisa Bey-Knight4, Haythem Ali5, Patricia Vallieres5, Mark E Sherman6, Gretchen L Gierach7.   

Abstract

A population of 165 women with negative mammographic screens also received an ultrasound tomography (UST) examination at the Karmanos Cancer Institute 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 body mass index (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. Copyright Â
© 2016 World Federation for Ultrasound in Medicine & Biology. All rights reserved.

Entities:  

Keywords:  Breast Cancer; Breast density; Dense and non-dense breast volumes; Mammography; Risk assessment; Sound speed; Ultrasound tomography

Mesh:

Year:  2016        PMID: 27692872      PMCID: PMC5761326          DOI: 10.1016/j.ultrasmedbio.2016.08.021

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  28 in total

1.  A first evaluation of breast radiological density assessment by QUANTRA software as compared to visual classification.

Authors:  Stefano Ciatto; Daniela Bernardi; Massimo Calabrese; Manuela Durando; Maria Adalgisa Gentilini; Giovanna Mariscotti; Francesco Monetti; Enrica Moriconi; Barbara Pesce; Antonella Roselli; Carmen Stevanin; Margherita Tapparelli; Nehmat Houssami
Journal:  Breast       Date:  2012-01-27       Impact factor: 4.380

2.  Breast-density legislation--practical considerations.

Authors:  Priscilla J Slanetz; Phoebe E Freer; Robyn L Birdwell
Journal:  N Engl J Med       Date:  2015-02-12       Impact factor: 91.245

3.  Radiological assessment of breast density by visual classification (BI-RADS) compared to automated volumetric digital software (Quantra): implications for clinical practice.

Authors:  Elisa Regini; Giovanna Mariscotti; Manuela Durando; Gianluca Ghione; Andrea Luparia; Pier Paolo Campanino; Caterina Chiara Bianchi; Laura Bergamasco; Paolo Fonio; Giovanni Gandini
Journal:  Radiol Med       Date:  2014-03-08       Impact factor: 3.469

4.  Breast density measurements with ultrasound tomography: a comparison with film and digital mammography.

Authors:  Neb Duric; Norman Boyd; Peter Littrup; Mark Sak; Lukasz Myc; Cuiping Li; Erik West; Sal Minkin; Lisa Martin; Martin Yaffe; Steven Schmidt; Muhammad Faiz; Jason Shen; Olga Melnichouk; Qing Li; Teri Albrecht
Journal:  Med Phys       Date:  2013-01       Impact factor: 4.071

5.  Breast density measurements using ultrasound tomography for patients undergoing tamoxifen treatment.

Authors:  Mark Sak; Neb Duric; Peter Littrup; Cuiping Li; Lisa Bey-Knight; Mark Sherman; Norman Boyd; Gretchen Gierach
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2013-03-29

6.  Mammographic densities and risk of breast cancer.

Authors:  A F Saftlas; R N Hoover; L A Brinton; M Szklo; D R Olson; M Salane; J N Wolfe
Journal:  Cancer       Date:  1991-06-01       Impact factor: 6.860

7.  A pilot study of compositional analysis of the breast and estimation of breast mammographic density using three-dimensional T1-weighted magnetic resonance imaging.

Authors:  Michael Khazen; Ruth M L Warren; Caroline R M Boggis; Emilie C Bryant; Sadie Reed; Iqbal Warsi; Linda J Pointon; Gek E Kwan-Lim; Deborah Thompson; Ros Eeles; Doug Easton; D Gareth Evans; Martin O Leach
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2008-09       Impact factor: 4.254

8.  Prevalence of mammographically dense breasts in the United States.

Authors:  Brian L Sprague; Ronald E Gangnon; Veronica Burt; Amy Trentham-Dietz; John M Hampton; Robert D Wellman; Karla Kerlikowske; Diana L Miglioretti
Journal:  J Natl Cancer Inst       Date:  2014-09-12       Impact factor: 13.506

9.  Comparison of sound speed measurements on two different ultrasound tomography devices.

Authors:  Mark Sak; Neb Duric; Peter Littrup; Lisa Bey-Knight; Mark Sherman; Gretchen Gierach; Antonina Malyarenko
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2014-03-20

10.  Digital mammographic density and breast cancer risk: a case-control study of six alternative density assessment methods.

Authors:  Amanda Eng; Zoe Gallant; John Shepherd; Valerie McCormack; Jingmei Li; Mitch Dowsett; Sarah Vinnicombe; Steve Allen; Isabel dos-Santos-Silva
Journal:  Breast Cancer Res       Date:  2014-09-20       Impact factor: 6.466

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  15 in total

Review 1.  Novel imaging approaches to screen for breast cancer: Recent advances and future prospects.

Authors:  Christopher L Vaughan
Journal:  Med Eng Phys       Date:  2019-10       Impact factor: 2.242

2.  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
Journal:  Eur Radiol       Date:  2018-03-19       Impact factor: 5.315

3.  Ultrasound tomography imaging with waveform sound speed: Parenchymal changes in women undergoing tamoxifen therapy.

Authors:  Mark Sak; Neb Duric; Peter Littrup; Mark Sherman; Gretchen Gierach
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2017-03

4.  Speed of sound ultrasound: a pilot study on a novel technique to identify sarcopenia in seniors.

Authors:  Sergio J Sanabria; Katharina Martini; Gregor Freystätter; Lisa Ruby; Orcun Goksel; Thomas Frauenfelder; Marga B Rominger
Journal:  Eur Radiol       Date:  2018-10-15       Impact factor: 5.315

5.  Whole Breast Sound Speed Measurement from US Tomography Correlates Strongly with Volumetric Breast Density from Mammography.

Authors:  Mark Sak; Peter Littrup; Rachel Brem; Neb Duric
Journal:  J Breast Imaging       Date:  2020-07-17

6.  A Novel Marker, Based on Ultrasound Tomography, for Monitoring Early Response to Neoadjuvant Chemotherapy.

Authors:  Neb Duric; Peter Littrup; Mark Sak; Cuiping Li; Di Chen; Olivier Roy; Lisa Bey-Knight; Rachel Brem
Journal:  J Breast Imaging       Date:  2020-10-27

7.  Automatic Segmentation of Ultrasound Tomography Image.

Authors:  Shibin Wu; Shaode Yu; Ling Zhuang; Xinhua Wei; Mark Sak; Neb Duric; Jiani Hu; Yaoqin Xie
Journal:  Biomed Res Int       Date:  2017-09-10       Impact factor: 3.411

8.  Efficient Segmentation of a Breast in B-Mode Ultrasound Tomography Using Three-Dimensional GrabCut (GC3D).

Authors:  Shaode Yu; Shibin Wu; Ling Zhuang; Xinhua Wei; Mark Sak; Duric Neb; Jiani Hu; Yaoqin Xie
Journal:  Sensors (Basel)       Date:  2017-08-08       Impact factor: 3.576

9.  Detecting Breast Cancer with a Dual-Modality Device.

Authors:  Kamila Padia; Tania S Douglas; Lydia L Cairncross; Roland V Baasch; Christopher L Vaughan
Journal:  Diagnostics (Basel)       Date:  2017-03-18

10.  Model-based optical and acoustical compensation for photoacoustic tomography of heterogeneous mediums.

Authors:  Alexander Pattyn; Zackary Mumm; Naser Alijabbari; Neb Duric; Mark A Anastasio; Mohammad Mehrmohammadi
Journal:  Photoacoustics       Date:  2021-05-19
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