Abstract
Our computer-aided diagnostic (CADx) tool uses advanced image processing and artificial intelligence to analyze findings on breast sonography images. The goal is to standardize reporting of such findings using well-defined descriptors and to improve accuracy and reproducibility of interpretation of breast ultrasound by radiologists. This study examined several factors that may impact accuracy and reproducibility of the CADx software, which proved to be highly accurate and stabile over several operating conditions.
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References
Stavros, A.T., Thickman, D., Rapp, C.L., Dennis, M.A., Parker, S.H., Sisney, G.A.: Solid breast nodules: Use of sonography to distinguish between benign and malignant lesions. Radiology 196, 123–134 (1995)
Lee, H.J., Kim, E.K., Kim, M.J., Youk, J.H., et al.: Observer variability of breast imaging reporting and data system (BI-RADS) for breast ultrasound. Eur. J. Radiol. 65, 293–298 (2008)
André, M.P., Galperin, M., Contro, G., Omid, N., Olson, L., Comstock, C., Richman, K., O’Boyle, M.: Diagnostic performance of a computer-aided image analysis system for breast ultrasound. Acoustical Imaging 28, 267–277 (2007)
Galperin, M., André, M.P., Contro, G., Omid, N.: Optimization of a breast mass classifier for computer-aided ultrasound analysis. Acoustical Imaging 28, 341–348 (2007)
Galperin, M., André, M.P., Barker, C., Mantrawadi, L., Olson, L., O’Boyle, M.: Reproducibility of image analysis for breast ultrasound computer-aided diagnosis. Acoustical Imaging 29, 397–402 (2008)
American College of Radiology: ACR Standards 2000–2001. Reston, VA: American College of Radiology (2000)
Imaginis Women’s Health Resource (http://imaginis.com/breasthealth/diagnosis.asp) and American College of Radiology (http://www.acr.org/)
Dorfman, D.D., Berbaum, K.S., Metz, C.E.: Receiver operating characteristic rating analysis: Generalization to the population of readers and patients with the jackknife method. Invest. Radiol. 27, 723–731 (1992)
Metz, C.E.: ROC methodology in radiographic imaging. Invest. Radiol. 21, 720–733 (1986)
Lazarus E., Mainiero M.B., Schepps B., et al.: BI-RADS lexicon for US and mammography: Inter-observer variability and positive predictive value. Radiology 239(2), 385–391 (2006)
Acknowledgements
This work was supported in part by grant 2R44CA112858 from the National Institutes of Health, National Cancer Institute, USA and by the Gustavus and Louise Pfeiffer Research Foundation, Denville, NJ, USA.
We gratefully acknowledge the support of Julie Phan, B.S., Paul Feigin, Ph.D., Paul Clopton, M.S. and Janice J. André, M.S. during discussions of the details of this work.
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André, M. et al. (2011). Performance of a Method to Standardize Breast Ultrasound Interpretation Using Image Processing and Case-Based Reasoning. In: André, M., Jones, J., Lee, H. (eds) Acoustical Imaging. Acoustical Imaging, vol 30. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-3255-3_1
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DOI: https://doi.org/10.1007/978-90-481-3255-3_1
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