Literature DB >> 17388192

Novel approach to evaluating breast density utilizing ultrasound tomography.

Carri Glide1, Nebojsa Duric, Peter Littrup.   

Abstract

Women with high mammographic breast density have a four- to fivefold increased risk of developing breast cancer compared to women with fatty breasts. Many preventative strategies have attempted to correlate changes in breast density with response to interventions including drugs and diet. The purpose of this work is to investigate the feasibility of assessing breast density with acoustic velocity measurements with ultrasound tomography, and to compare the results with existing measures of mammographic breast density. An anthropomorphic breast tissue phantom was first imaged with our computed ultrasound tomography clinical prototype. Strong positive correlations were observed between sound speed and material density, and sound speed and computed tomography number (Pearson correlation coefficients= 0.87 and 0.91, respectively). A cohort of 48 women was then imaged. Whole breast acoustic velocity was determined by creating image stacks and evaluating the sound speed frequency distribution. The acoustic measures of breast density were evaluated by comparing these results to two mammographic density measures: (1) qualitative estimates determined by a certified radiologist using the BI-RADS Categorical Assessment based on a 1 (fatty) to 4 (dense) scale, and (2) quantitative measurements via digitization and computerized analysis of archival mammograms. A one-way analysis of variance showed that a significant difference existed between the mean values of sound speed according to BI-RADS category, while post hoc analyses using the Scheffé criterion for significance indicated that BI-RADS 4 (dense) patients had a significantly higher sound speed than BI-RADS 1, 2, and 3 at an alpha level of 0.05. Using quantitative measures of breast density, a direct correlation between the mean acoustic velocity and calculated mammographic percent breast density was demonstrated with correlation coefficients ranging from 0.75 to 0.89. The results presented here support the hypothesis that sound speed can be used as an indicator of breast tissue density. Noninvasive, nonionizing monitoring of dietary and chemoprevention interventions that affect breast density are now possible.

Entities:  

Mesh:

Year:  2007        PMID: 17388192     DOI: 10.1118/1.2428408

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  22 in total

Review 1.  Breast tissue composition and susceptibility to breast cancer.

Authors:  Norman F Boyd; Lisa J Martin; Michael Bronskill; Martin J Yaffe; Neb Duric; Salomon Minkin
Journal:  J Natl Cancer Inst       Date:  2010-07-08       Impact factor: 13.506

2.  Current and Future Methods for Measuring Breast Density: A Brief Comparative Review.

Authors:  Mark A Sak; Peter J Littrup; Neb Duric; Maeve Mullooly; Mark E Sherman; Gretchen L Gierach
Journal:  Breast Cancer Manag       Date:  2015-08-28

3.  Comparison of breast density measured by dual energy X-ray absorptiometry with mammographic density among adult women in Hawaii.

Authors:  Gertraud Maskarinec; Yukiko Morimoto; Yihe Daida; Aurelie Laidevant; Serghei Malkov; John A Shepherd; Rachel Novotny
Journal:  Cancer Epidemiol       Date:  2010-08-04       Impact factor: 2.984

4.  Acoustic beam anomalies in automated breast imaging.

Authors:  Rungroj Jintamethasawat; Xiaohui Zhang; Paul L Carson; Marilyn A Roubidoux; Oliver D Kripfgans
Journal:  J Med Imaging (Bellingham)       Date:  2017-10-12

5.  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

6.  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

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

Authors:  Zeina G Khodr; Mark A Sak; Ruth M Pfeiffer; Nebojsa Duric; Peter Littrup; Lisa Bey-Knight; Haythem Ali; Patricia Vallieres; Mark E Sherman; Gretchen L Gierach
Journal:  Med Phys       Date:  2015-10       Impact factor: 4.071

8.  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

9.  Waveform inversion with source encoding for breast sound speed reconstruction in ultrasound computed tomography.

Authors:  Kun Wang; Thomas Matthews; Fatima Anis; Cuiping Li; Neb Duric; Mark A Anastasio
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2015-03       Impact factor: 2.725

10.  In vivo breast sound-speed imaging with ultrasound tomography.

Authors:  Cuiping Li; Nebojsa Duric; Peter Littrup; Lianjie Huang
Journal:  Ultrasound Med Biol       Date:  2009-08-03       Impact factor: 2.998

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