Skip to main content

Advertisement

Log in

Novel technology of multimodal ultrasound tomography detects breast lesions

  • Breast
  • Published:
European Radiology Aims and scope Submit manuscript

Abstract

Objectives

To introduce a new three-dimensional (3D) diagnostic imaging technology, termed “multimodal ultrasonic tomography” (MUT), for the detection of breast cancer without ionising radiation or compression.

Methods

MUT performs 3D tomography of the pendulant breast in a water-bath using transmission ultrasound in a fixed-coordinate system. Specialised electronic hardware and signal processing algorithms are used to construct multimodal images for each coronal slice, corresponding to measurements of refractivity and frequency-dependent attenuation and dispersion. In-plane pixel size is 0.25 mm × 0.25 mm and the inter-slice interval can vary from 1 to 4 mm, depending on clinical requirements. MUT imaging was performed on 25 patients (“off-label” use for research purposes only), presenting lesions with sizes >10 mm. Histopathology of biopsy samples, obtained from all patients, were used to evaluate the MUT outcomes.

Results

All lesions (21 malignant and four benign) were clearly identified on the MUT images and correctly classified into benign and malignant based on their respective multimodal information. Malignant lesions generally exhibited higher values of refractivity and frequency-dependent attenuation and dispersion.

Conclusion

Initial clinical results confirmed the ability of MUT to detect and differentiate all suspicious lesions with sizes >10 mm discernible in mammograms of 25 female patients.

Key Points

• Technical advances in ultrasound offer new diagnostic opportunities in breast imaging

• 3D ultrasound can detect breast cancer without ionising radiation or compression

• Multimodal 3D ultrasound assesses acoustic refractivity, frequency-dependent attenuation and dispersion

• MUT can differentiate between benign and malignant breast lesions

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

Abbreviations

MUT:

Multimodal ultrasound tomography

MMG:

X-ray mammogram

References

  1. US Preventive Services Task Force (2009) Screening for breast cancer: U.S. preventive task force recommendation statement (2009) Ann Intern Med 151:716–726

    Google Scholar 

  2. Gabe R, Duffy SW (2005) Evaluation of service screening mammography in practice: the impact on breats cancer mortality. Ann Oncl 16:153–162

    Google Scholar 

  3. Schopper D, de Wolf C (2009) How effective are breast cancer screening programmes by mammography? Review of the current evidence. Eur J Cancer 45:1916–1923

    Article  PubMed  Google Scholar 

  4. Baines CJ (1999) A tangled web: factors likely to affect the efficacy of screening mammography. J Natl Cancer Inst 91:833–838

    Article  PubMed  CAS  Google Scholar 

  5. Kerlikowski K, Grady D, Barclay J, Sickles EA, Ernster V (1996) Effect of age, breast density, and family history on the sensitivity of first screening mammography. JAMA 276:33–38

    Article  Google Scholar 

  6. Helbich TH (2000) Contrast-enhanced magnetic resonance imaging of the breast. Eur J Radiol 34:208–219

    Article  PubMed  CAS  Google Scholar 

  7. Eby PR, DeMartini WB, Peacock S, Rosen EL, Lauro B, Lehman CD (2007) Cancer yield of probably benign breast MR examinations. J Magn Reson Imag 26:950–955

    Article  Google Scholar 

  8. Kuhl CK, Schrading S, Leutner CC et al (2005) Mammography, breast ultrasound and MRI for surveillance of women at high familial risk for breast cancer. J Clin Oncol 23:8469–8476

    Article  PubMed  Google Scholar 

  9. Kuhl CK (2007) Current status of breast MR imaging. Part 2: Clinical applications. Radiology 244:672–691

    Article  PubMed  Google Scholar 

  10. Flobbe K, Bosch AM, Kessels AG et al (2003) The additional diagnostic value of ultrasonography in the diagnosis of breast cancer. Arch Intern Med 163:1194–1199

    Article  PubMed  Google Scholar 

  11. Meissnitzer M, Dershaw DD, Lee CH et al (2009) Targeted ultrasound of the breast in women with abnormal MRI findings for whom biopsy has been recommended. AJR Am J Roentgenol 194:370–377

    Google Scholar 

  12. Golub RM, Parsons RE, Sigel B et al (1993) Differentiation of breast tumors by ultrasound tissue characterization. J Ultrasound Med 12:601–608

    PubMed  CAS  Google Scholar 

  13. Gefen S, Tretiak OJ, Piccoli CW et al (2003) ROC analysis of ultrasound tissue characterization classifiers for breast cancer diagnosis. IEEE Trans Med Imag 22:170–177

    Article  Google Scholar 

  14. Chen CM, Chou YH, Han KC et al (2003) Breast lesions on sonograms: computer-aided diagnosis with nearly setting-independent features and artificial neural networks. Radiology 226:504–514

    Article  PubMed  Google Scholar 

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

    PubMed  CAS  Google Scholar 

  16. Garra BS, Cespedes EI, Ophir J, Spratt SR, Zuurbier RA, Magnant CM, Pennanen MF (1997) Elastography of breast lesions: initial clinical results. Radiology 202:79–86

    PubMed  CAS  Google Scholar 

  17. Thomas A, Fischer T, Frey H, Ohlinger R, Grunwald S, Blohmer J-U, Winzer K-J, Weber S, Kristiansen G, Ebert B, Kümmel S (2006) Real-time elastography — an advanced method of ultrasound: first results in 108 patients with breast lesions. Ultrasound Obstet Gynecol 28:335–340

    Article  PubMed  CAS  Google Scholar 

  18. Culver JP, Choe R, Holboke MJ, Zubkov L, Durduran T, Slemp A, Ntziachristos V, Chance B, Yodh AG (2003) Three-dimensional diffuse optical tomography in the parallel plane transmission geometry: Evaluation of a hybrid frequency domain continuous wave clinical system for breast imaging. Med Phys 30:235–247

    Article  PubMed  CAS  Google Scholar 

  19. Yang WT, Carkaci S, Chen L, Lai CJ, Sahin A, Whitman GJ, Shaw CC (2007) Dedicated cone-beam breast CT: Feasibility study with surgical mastectomy specimens. Am J Roentgen 189:1312–1315

    Article  Google Scholar 

  20. Marmarelis VZ, Kim TS, Shehada REN (2003) High resolution ultrasonic transmission tomography. Proc SPIE Med Imaging 5035:33–40

    Article  Google Scholar 

  21. Jeong JW, Kim TS, Do SH, Shin DC, Singh M, Marmarelis VZ (2005) Soft tissue differentiation using multi-band signatures of high resolution ultrasonic transmission tomography. IEEE Trans Med Imaging 24:399–408

    Article  PubMed  Google Scholar 

  22. Marmarelis VZ, Jeong J, Shin DC, Do SH (2007) High-resolution 3-D imaging and tissue differentiation with ultrasonic transmission tomography. In: Andre MP (ed) Acoustical imaging, vol 28, Springer, Dordrecht, pp 195–206

    Chapter  Google Scholar 

  23. Jeong JW, Shin DC, Do SH, Klipfel NE, Holmes DR, Hovanessian-Larsen LJ, Marmarelis VZ (2008) Differentiation of cancerous lesions in excised human breast specimens using multi-band attenuation profiles from ultrasonic transmission tomography. J Ultrasound Med 27:435–451

    PubMed  Google Scholar 

  24. Zografos G, Koulocheri D, Liakou P, Sofras M, Hadjiagapis S, Marmarelis V (2011) Detection of breast cancer via 3D multi-modal ultrasound tomography. European Congress of Radiology, Poster No. 5349

  25. Marmarelis V, Sofras M, Hadjiagapis S, Koulocheri D, Liakou P, Zografos G (2011) Novel diagnostic imaging technology for detection of breast cancer via 3D transmission ultrasound tomography. European Congress of Radiology, Poster No. 5357

  26. Marmarelis V, Sofras M, Hadjiagapis S, Koulocheri D, Liakou P, Zografos (2011) Detection and differentiation of mm-size lesions in the breast using the new technology of 3D Multimodal Ultrasonic Tomography. RSNA Conference, Poster No. 11034449

  27. Greenleaf JF, Bahn RC (1981) Clinical imaging with transmissive ultrasonic computerized tomography. IEEE Trans Biomed Eng 28:177–185

    Article  PubMed  CAS  Google Scholar 

  28. Carson PL, Meyer CR, Scherzinger AL, Oughton TV (1981) Breast imaging in coronal planes with simultaneous pulse echo and transmission ultrasound. Science 214:1141–1143

    Article  PubMed  CAS  Google Scholar 

  29. Schreiman JS, Gisvold JJ, Greenleaf JF, Bahn RC (1984) Ultrasound transmission computed tomography of the breast. Radiology 150:523–530

    PubMed  CAS  Google Scholar 

  30. Duric N, Littrup P, Poulo L, Babkin A, Holsapple E, Rama O, Glide C (2007) Detection of breast cancer with ultrasound tomography: First results with the computed ultrasound risk evaluation (CURE) prototype. Med Phys 2:773–785

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported by Mastoscopia S.A. which has built the MUT clinical prototype.

M. Sofras and S. Hadjiagapis are employees of MastoScopia S.A., M. Orme collaborates with MastoScopia S.A and V. Marmarelis is the inventor of the subject technology and shareholder of MastoScopia.

The authors thankfully acknowledge the valuable support offered by the staff and facilities of the Breast Unit of the Propaedeutic Surgery Department of the School of Medicine of the University of Athens.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to V. Marmarelis.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Zografos, G., Koulocheri, D., Liakou, P. et al. Novel technology of multimodal ultrasound tomography detects breast lesions. Eur Radiol 23, 673–683 (2013). https://doi.org/10.1007/s00330-012-2659-z

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00330-012-2659-z

Keywords

Navigation