Computerized Ultrasound Risk Evaluation (CURE): First Clinical Results
The Karmanos Cancer Institute has developed an ultrasound (US) tomography system, known as Computerized Ultrasound Risk Evaluation (CURE), for detecting and evaluating breast cancer, with the eventual goal of providing improved differentiation of benign masses from cancer. We report on our first clinical findings with CURE.
A preliminary study imaged 19 patients with CURE between October 1 and December 1, 2004. Patients were recruited on the basis of having a suspicious mass after mammography and follow-up ultrasound. The CURE exam was interposed between the standard US exam and subsequent biopsy. Biopsy results were therefore available for all 19 patients. Typically, 45 tomograms were taken of each patient with the CURE device. For each tomogram, images of reflectivity and sound speed were made with automated algorithms. In five cases, attenuation images had to be produced by a manual technique due to gain instability of the current transducer ring.
Based on the preliminary CURE data we have currently utilized six CURE diagnostic criteria for cancer. In this small sample, when each criterion is given equal weight, it appears that women with higher scores are more likely to have cancerous masses. More definitive results await the conclusion of a larger, ongoing study
Key wordsUltrasound tomography breast cancer diagnostic criteria tissue characterization
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- Kolb TM., Lichy J and Newhouse JH. 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 Evaluation.Radiology, 2002; 225:165–175.Google Scholar
- Stavros AT, Thickman D, Rapp CL, Dennis MA, Parker SH, and Sisney GA. Solid breast nodules: use of sonography to distinguish between benign and malignant lesions. Radiology. 1995; 196:123–34.Google Scholar
- Federal Register 60712–60713. 1996.(www.rsna.org/REG/research/regulatory/wfprfcexamples.html).Google Scholar
- Shapiro RS, Simpson WL, Rausch DL, and Yeh HC. Compound spatial sonography of the thyroid gland: evaluation of freedom from artifacts and of nodule conspicuity. AJR Am J Roentgenol 2001 Nov; 177(5):1195–8Google Scholar
- Dakins DR. Breast ultrasound trial finds keys to better performance. In Review. A Special Supplement to Diagnositc Imaging, Jan; 2005: 17–17.Google Scholar
- ACRIN website: www.acrin.org .Google Scholar
- Lucas-Fehm L. Sonographic mammographic correlation. Applied Radiology, Feb; 2005:20–25.Google Scholar
- Greenleaf JF, Johnson A, Bahn RC, and Rajagopalan B:Quantitative cross-sectional imaging of ultrasound parameters. 1977 Ultrasonics Symposium Proc., IEEE Cat. # 77CH1264-1SU, pp. 989–995, 1977.Google Scholar
- Carson PL, Meyer CR, Scherzinger AL and Oughton TV. Breast imaging in coronal planes with simultaneous pulse echo and transmission ultrasound. Science 1981 Dec; 4;214(4525): 1141–3.Google Scholar
- Johnson SA., Borup DT, Wiskin JW, Natterer F, Wuebbling F, Zhang Y, and Olsen C. Apparatus and Method for Imaging with Wavefields using Inverse Scattering Techniques. United States Patent 6, 005, 916 (1999).Google Scholar
- Marmarelis VZ, Kim T, and Shehada RE. Proceedings of the SPIE: Medical Imaging 2003; San Diego, California; Feb; 23–28, 2002. Ultrasonic Imaging and Signal Processing – Paper 5035–6.Google Scholar
- Littrup PJ, Duric N, Azevedo S, Chambers DH, Candy JV, Johnson S, Auner G, Rather J and Holsapple ET. Computerized ultrasound risk evaluation (CURE) system: Development of combined transmission and reflection ultrasound with new reconstruction algorithms for breast imaging. Proceedings of the 26th International Acoustical Imaging Symposium; Windsor, Canada; Sept; 9–12, 2001.Google Scholar
- Littrup PJ, Duric N, Leach Jr. RR, Azevedo SG, Candy JV, Moore T, Chambers DH, Mast JE and Holsapple ET. Characterizing tissue with acoustic parameters derived from ultrasound data.Proceedings of the SPIE: Medical Imaging 2002; San Diego, CA; Feb. 23–28, 2002. Ultrasonic Imaging and Signal Processing – Paper 4687-43.Google Scholar
- Leach Jr. RR, Azevedo SG, Berryman JG, Bertete-Aguirre HR, Chambers DH, Mast JE, Littrup PJ, Duric N, and Wuebbeling F. A comparison of ultrasound tomography methods in circular geometry. Proceedings of the SPIE: Medical Imaging 2002; San Diego, CA; Feb. 23–28, 2002. Ultrasonic Imaging and Signal Processing – Paper 4687-44.Google Scholar
- Duric N, Littrup PJ, Leach Jr. RR, Azevedo SG, Candy JV, Moore T, Chambers DH, J. Mast JE and Holsapple ET. Using Data Fusion to Characterize Breast Tissue. Proceedings of the SPIE: Medical Imaging 2002; San Diego, California; Feb; 23–28, 2002. Ultrasonic Imaging and Signal Processing – Paper 4687-39.Google Scholar
- Azevedo SG, Moore T, Huber RD, Ferguson W, Leach Jr. RR, Benson S, Duric N, Littrup PJ and Holsapple ET. Apparatus for circular tomographic ultrasound measurements. Proceedings of the SPIE: Medical Imaging 2002; San Diego, California; Feb. 23–28, 2002. Ultrasonic Imaging and Signal Processing – Paper 4687–12.Google Scholar
- Duric N, Littrup P, Holsapple E, Babkin A, Duncan R, Kalinin A, Pevzner R and TokarevM. Ultrasound Imaging of Breast Tissue. Proceedings of the SPIE: Medical Imaging 2003; San Diego, California; Feb. 21–26, 2003. Ultrasonic Imaging and Signal Processing – Paper 5035–4.Google Scholar
- Huang LJ, Duric N, and Littrup, P. Ultrasonic Breast Imaging Using a Wave-Equation Migration Method. Proceedings of the SPIE: Medical Imaging 2003; San Diego, California; Feb. 21–26, 2003. Ultrasonic Imaging and Signal Processing – Paper 5035–4.Google Scholar