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Clinical Results with Ultrasound Computed Tomography of the Breast

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Quantitative Ultrasound in Soft Tissues

Abstract

Although the science and engineering of ultrasound computed tomography (USCT) has been explored for over four decades, there have been relatively few instances of a system being developed and applied to patients. Nonetheless, there have been notable results from the clinical setting, especially recently, that illustrate how a successful USCT scanner may provide significant advances to women’s health. For practical anatomical reasons, this work has almost exclusively addressed imaging of the female breast. Other quantitative ultrasound techniques have been applied to characterizing the female breast, including quantitative backscatter analysis, shear wave speed, computer-aided diagnosis, etc., but USCT is the focus of this chapter. We highlight the evolution of scanner design and image reconstruction by presenting key results from patient measurements by the major researchers in the field. There has been steady progress in electronics, parallel processors, reconstruction algorithms, understanding of the physical properties of breast tissue and a resurgence of interest in the medical community for dedicated breast ultrasound systems. It is understood today that USCT may be able to contribute in many aspects of the medical management of breast disease including detection, diagnosis and treatment of breast cancer.

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References

  • Abramowitz A, Stegun I (1965) Handbook of mathematical functions. Dover Publications, New York, p 363

    Google Scholar 

  • ACR (2011) Practice guideline for the performance of a breast ultrasound examination. American College of Radiology, Reston

    Google Scholar 

  • American Cancer Society (2011). Breast cancer facts & figures 2011–2012. American Cancer Society, Inc, Atlanta

    Google Scholar 

  • Andre MP, Galperin M, Berry A, Taylor A, Ojeda-Fournier H, O’Boyle M, Olson L, Comstock C (2011) Performance of a method to standardize breast ultrasound interpretation using image processing and case-based reasoning. Acoust Imaging 30:3–10

    Article  Google Scholar 

  • André MP, Martin PJ, Otto GP, Olson LK, Barrett TK, Spivey BA, Palmer DA (1995) A new consideration of diffraction computed tomography for breast imaging: Studies in phantoms and patients. Acoust Imaging 21:379–390

    Article  Google Scholar 

  • André MP, Janée HS, Otto GP, Martin PJ, Jones P (1996) Reduction of phase aberration in a diffraction tomography system for breast imaging. Acoust Imaging 22:151–157

    Article  Google Scholar 

  • André M, Janee H, Otto G, Martin P (1997) High speed data acquisition in a diffraction tomography system with large-scale toroidal arrays. Int J Imaging Syst Technol 8(1):137–147

    Article  Google Scholar 

  • André M, Barker C, Sekhon N, Wiskin J, Borup D, Callahan K (2008) Pre-clinical experience with full-wave inverse scattering for breast imaging: sound speed sensitivity. Acoust Imaging 29:73–80

    Article  Google Scholar 

  • Baker J, Kornguth P, Soo M et al (1999) Sonography of solid breast lesions: observer variability of lesion description and assessment. AJR 172:1621–1625

    Article  PubMed  CAS  Google Scholar 

  • Berg W, Blume J, Cormack J et al (2006) Operator dependence of physician performed whole breast US: lesion detection and characterization. Radiology 241:355–365

    Article  PubMed  Google Scholar 

  • Berg WA, Blume JD, Cormack JB et al (2008) Combined screening with ultrasound and mammography vs mammography alone in women at elevated risk of breast cancer. JAMA 299:2151–2163

    Article  PubMed  CAS  Google Scholar 

  • Berg W, Cosgrove DO, Doré CJ et al (2012a) Shear-wave elastography improves the specificity of breast US: The BE1 multinational study of 939 masses. Radiology 262(2):435–449

    Article  PubMed  Google Scholar 

  • Berg W, Zhang Z et al (2012b) Detection of Breast Cancer with addition of annual screening ultrasound or a single screening mri to mammography in women with elevated breast cancer risk. JAMA 307(13):1394–1404

    Article  PubMed  CAS  Google Scholar 

  • Borup DT, Johnson SA, Kim WW, Berggren MJ (1992) Nonperturbative diffraction tomography via Gauss-Newton iteration applied to the scattering integral equation. Ultrason Imaging 14(1):69–85

    PubMed  CAS  Google Scholar 

  • Brogoch L, André M, Ledgerwood M, Ojeda-Fournier H et al (2010) Reader variability and predictive value of breast imaging reporting and data system descriptors for lesions in breast sonography. J Ultrasound Med 29:S47

    Google Scholar 

  • Callahan KS, Borup DT, Johnson SA, Wiskin J, Parisky Y (2007) Transmission breast ultrasound imaging: representative case studies of speed of sound and attenuation of sound computed tomographic images. Am J Clin Oncol 30(4):458–459

    Google Scholar 

  • Carson PL, Fenster A (2009) Anniversary paper: evolution of ultrasound physics and the role of medical physicists and the AAPM and its journal in that evolution. Med Phys 36(2):411–428

    Article  PubMed  Google Scholar 

  • Carson P, Meyer C, Scherzinger A, Oughton T (1981) Breast imaging in coronal planes with simultaneous pulse-echo and transmission ultrasound. Science 214:1141–1143

    Article  PubMed  CAS  Google Scholar 

  • Carson PL, Scherzinger AL, Bland PH, Meyer CR, Schmitt RM, Chenevert TL, Bookstein FL, Bylski DI, Silver TM (1983) Advanced ultrasonic imaging for breast cancer diagnosis. In: Jellins J, Kobayashi T (eds) Ultrasonic Examination of the Breast, pp 187–199

    Google Scholar 

  • Devaney A (1982a) Inversion formula for inverse scattering within the Born approximation. Opt Lett 7:111–112

    Article  PubMed  CAS  Google Scholar 

  • Devaney A (1982b) A filtered backpropagation algorithm for diffraction tomography. Ultrason Imaging 4:336–350

    PubMed  CAS  Google Scholar 

  • Duric N, Littrup P, Babkin A, Chambers D, Azevedo S, Kalinin A, Pevzner R, Tokarev M, Holsapple E, Rama O, Duncan R (2005) Development of ultrasound tomography for breast imaging: technical assessment. Med Phys 32(5):1375–1386

    Article  PubMed  Google Scholar 

  • Duric N, Littrup PJ, Rama O, Holsapple ET (2006) Computerized ultrasound risk evaluation CURE: first clinical results. Acoust Imaging 28:177–185

    Google Scholar 

  • Duric N, Littrup P, Poulo L, Babkin A et al (2007) Detection of breast cancer with ultrasound tomography: first results with the computed ultrasound risk evaluation prototype. Med Phys 34(2):773–785

    Article  PubMed  Google Scholar 

  • Glover GH (1977) Computerized time-of-flight ultrasonic tomography for breast examination. Ultrasound Med Biol 3(2–3):117–127

    Article  PubMed  CAS  Google Scholar 

  • Glover G, Sharp J (1977) Reconstruction of ultrasound propagation speed distributions in soft tissue: time of flight tomography. IEEE Trans Sonics Ultrason SU-24:229–234

    Google Scholar 

  • Greenleaf J, Bahn R (1981) Clinical imaging with transmissive ultrasonic computerized tomography. IEEE Trans Biomed Eng BME-28(2):231

    Google Scholar 

  • Greenleaf J, Johnson S, Lee SL et al (1974) Algebraic reconstruction of spatial distributions of acoustic absorption in tissue from their two-dimensional acoustic projections. Acoust Holography 5:591–603

    Article  Google Scholar 

  • Greenleaf J, Johnson S, Samayoa W, Duck F (1975) Algebraic reconstruction of spatial distributions of acoustic absorption in tissue from their two-dimensional acoustic projections. Acoust Holography 6:71–90

    Article  Google Scholar 

  • Greenleaf JF, Johnson SA, Lent AH (1978) Measurement of spatial distribution of refractive index in tissues by ultrasonic computer assisted tomography. Ultrasound Med Biol 3(4):327–339

    Article  PubMed  CAS  Google Scholar 

  • Hiller D, Ermert H (1980) Tomographic reconstruction of B-scan images. Acoust Imaging 10:347–364

    Article  Google Scholar 

  • Hong A, Rosen E, Soo M et al (2005) BI-RADS for sonography: Positive and negative predictive values of sonographic features. AJR 184(4):1260–1265

    Article  PubMed  Google Scholar 

  • Howlader N, Noone AM, Krapcho M et al (eds) (2011) SEER cancer statistics review, 1975–2008. National Cancer Institute, Bethesda http://seer.cancer.gov/csr/1975_2008/, based on Nov 2010 SEER data submission, posted to the SEER web site

  • Johnson S, Abbott T, Bell R, Berggren M, Borup D et al (2007) Non-invasive breast tissue characterization using ultrasound speed and attenuation: in vivo validation. Acoust Imaging 28:147–154

    Article  Google Scholar 

  • Kaveh M, Mueller RK, Rylander R, Coulter TR, Soumekh M (1980) Experimental results in ultrasonic diffraction tomography. Acoust Imaging 9:433–450

    Article  Google Scholar 

  • Kelly KM, Dean J, Comulada WS, Lee S.-J. (2010) Breast cancer detection using automated whole breast ultrasound and mammography in radiographically dense breasts. Eur Radiol 20:734–742

    Google Scholar 

  • Kolb T, Lichy J, Newhouse J (2002) Comparison of the performance of screening mammography, physical examination, and breast US and evaluation of factors that influence them: an analysis of 27,825 patient evaluations. Radiology 225:165–175

    Article  PubMed  Google Scholar 

  • Kwak Y, Kim E, Park H et al (2006) Application of the breast imaging reporting and data system final assessment system in sonography of palpable breast lesions and reconsideration of the modified triple test. J Ultrasound Med 25(10):1255–1261

    PubMed  Google Scholar 

  • Mendelson EB, Baum JK, Berg WA, Merritt CB, Rubin E (2003) Breast imaging reporting and data system BI-RADS: ultrasound. In: D’Orsi CJ, Mendelson EB, Ikeda DM et al (eds) Breast imaging reporting and data system, 1st edn. American College of Radiology, Reston

    Google Scholar 

  • Mueller RK, Kaveh M, Wade G (1979) Acoustical reconstructive tomography and applications to ultrasonics. Proc IEEE 67:567–586

    Article  Google Scholar 

  • Scherzinger AL, Belgam RA, Carson PL, Meyer CR et al (1989) Assessment of ultrasonic computed tomography in symptomatic breast patients by discriminant analysis. Ultrasound Med Biol 15:21–28

    Article  PubMed  CAS  Google Scholar 

  • Shetty M, Shah Y, Sharman R (2003) Prospective evaluation of combined mammographic and sonographic assessment in patients with palpable abnormalities of the breast. J Ultrasound Med 22(3):263–268

    PubMed  Google Scholar 

  • Silverstein M, Lagios M, Recht A et al (2005) Image-detected breast cancer: state of the art diagnosis and treatment. J Amer Coll Surg 201(4):586–597

    Article  Google Scholar 

  • Stavros AT (2004) Breast ultrasound. Lippincott Williams & Wilkins, New York, pp 1–1015

    Google Scholar 

  • Stavros A, Thickman D, Rapp C et al (1995) Solid breast nodules: use of sonography to distinguish between benign and malignant lesions. Radiology 196(1):123–134

    PubMed  CAS  Google Scholar 

  • Wiskin J, Borup D, Johnson S et al (2007) Full wave, non-linear, inverse scattering: high resolution quantitative breast tissue tomography. Acoust Imaging 28:183–194

    Article  Google Scholar 

  • Wiskin J, Borup D, Johnson S (2011a) Inverse scattering theory. Acoust Imaging 30:53–60

    Article  Google Scholar 

  • Wiskin J, Borup D, André M et al (2011b) Inverse scattering results. Acoust Imaging 30:61–68

    Article  Google Scholar 

  • Wiskin J, Borup D, Johnson S, Berggren M (2012) Nonlinear inverse scattering: high resolution quantitative breast tissue tomography. J Acoust Soc Am 131(5):3802–3813

    Article  PubMed  CAS  Google Scholar 

  • Wolf E (1969) Three-dimensional structure determination of semi-transparent objects from holographic data. Opt Comm 1:153–156

    Article  Google Scholar 

Download references

Acknowledgments

We gratefully acknowledge the support and contributions of Melissa Ledgerwood, B.S., Melanie Aiken, B.A., Laura Brogoch, B.S., Karleen Callahan, Ph.D. and the National Institutes of Health, National Cancer Institute SBIR Program and Academic-Industry Partnership Program.

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Correspondence to Michael André .

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André, M., Wiskin, J., Borup, D. (2013). Clinical Results with Ultrasound Computed Tomography of the Breast. In: Mamou, J., Oelze, M. (eds) Quantitative Ultrasound in Soft Tissues. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6952-6_15

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