Abstract
The National Cancer Institute estimates that approximately 700,000 women undergo breast biopsies (surgical or needle) in the U.S. each year. Approximately 80% of tumors biopsied are benign. 20% are malignant. Surgical biopsies--the most common--cost between $2,500 and $5,000 while needle biopsies cost from $750 to $1,000. Patients experience both physical and emotional effects when undergoing biopsy procedures and internal scarring may be problematic since it complicates interpretation of future mammograms. Until fairly recently, ultrasound in the U.S. has been used only to distinguish cystic from solid breast masses and to guide needle biopsies. A number of positive studies in Europe, Asia and the U.S. indicate that high-quality ultrasound can provide radiologists with a high degree of confidence in differentiating many benign from malignant or suspicious lesions detected by mammography.1 Results suggest that ultrasound could help reduce the number of biopsies of benign masses by 40% with a cost savings of as much as $1 billion per year in the U.S.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
A.T. Stavros, D. Thickman, C.L. Rapp, M.A. Dennis, S.H Parker, and G. A. Sisney, “Solid Breast Nodules: Use of Sonography to Distinguish between Benign and Malignant Lesions,”Radiology196, pp. 123–1341995.
American College of Radiology (ACR). Breast Imaging Reporting and Data System (BI-RADS™). Third Edition. Reston, VA: American College of Radiology; 1998
J.A. Baker, P.J. Kornguth, M.S. Soo, et al., “Sonography of solid breast lesions: Observer variability of lesion description and assessment,”Amer J Roentgenol1721621–16251999.
V. Goldberg, A. Manduca, D.L. Ewert, J. J. Gisvold. J.F. Greenleaf, “Improvement in specificity of ultrasonography for diagnosis of breast tumors by means of artificial intelligence,”Med. Phys.19, pp. 1475–14811992.
B.S. Garra, B.H. Krasner, S.C. Horii, et al., “Improving the distinction between benign and malignant breast lesions: The value of sonographic texture analysis,”Ultrasonic Imag15, pp. 267–2851993.
J. Bamber, “Ultrasound propagation properties of the breast,” In: Ultrasonic Examination of the BreastJ. Wiley and Sons, Chichester1983.
MP André, HS Janée, GP Otto, PJ Martin, BA Spivey, DA Palmer: “High-speed data acquisition in a diffraction tomography system employing large-scale toroidal arrays.”Intl J Imaging Systems Technol8(1), pp. 137–1471997.
Lefebvre F, Meunier M, Thibault F, et al., “Computerized ultrasound B-scan characterization of breast nodules,”Ultrasound in Med & Biol26(9):1421–14282000.
M. Kallergi, G.M. Carney and J. Gaviria, “Evaluating the performance of detection algorithms in digital mammography,”Med. Phys26, pp. 267–275. 1999
M.A. Kupinski and M. L. Giger, “Feature selection with limited dataset,”Med. Phys.26(10), pp. 2176–21821999.
C.E. Metz, “ROC methodology in radiographic imaging,”Invest Radiol.21, pp. 720–733. 1986.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer Science+Business Media New York
About this chapter
Cite this chapter
André, M.P., Galperin, M., Olson, L.K., Richman, K., Payrovi, S., Phan, P. (2002). Improving the Accuracy of Diagnostic Breast Ultrasound. In: Maev, R.G. (eds) Acoustical Imaging. Acoustical Imaging, vol 26. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-8606-1_57
Download citation
DOI: https://doi.org/10.1007/978-1-4419-8606-1_57
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-4644-9
Online ISBN: 978-1-4419-8606-1
eBook Packages: Springer Book Archive