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
Similar content being viewed by others
Abbreviations
- MUT:
-
Multimodal ultrasound tomography
- MMG:
-
X-ray mammogram
References
US Preventive Services Task Force (2009) Screening for breast cancer: U.S. preventive task force recommendation statement (2009) Ann Intern Med 151:716–726
Gabe R, Duffy SW (2005) Evaluation of service screening mammography in practice: the impact on breats cancer mortality. Ann Oncl 16:153–162
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
Baines CJ (1999) A tangled web: factors likely to affect the efficacy of screening mammography. J Natl Cancer Inst 91:833–838
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
Helbich TH (2000) Contrast-enhanced magnetic resonance imaging of the breast. Eur J Radiol 34:208–219
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
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
Kuhl CK (2007) Current status of breast MR imaging. Part 2: Clinical applications. Radiology 244:672–691
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
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
Golub RM, Parsons RE, Sigel B et al (1993) Differentiation of breast tumors by ultrasound tissue characterization. J Ultrasound Med 12:601–608
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
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
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
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
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
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
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
Marmarelis VZ, Kim TS, Shehada REN (2003) High resolution ultrasonic transmission tomography. Proc SPIE Med Imaging 5035:33–40
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
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
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
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
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
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
Greenleaf JF, Bahn RC (1981) Clinical imaging with transmissive ultrasonic computerized tomography. IEEE Trans Biomed Eng 28:177–185
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
Schreiman JS, Gisvold JJ, Greenleaf JF, Bahn RC (1984) Ultrasound transmission computed tomography of the breast. Radiology 150:523–530
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
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
Corresponding author
Rights 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
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00330-012-2659-z