Quantitative Ultrasound of Tumor Surrounding Tissue for Enhancement of Breast Cancer Diagnosis
Breast cancer is one of the leading causes of cancer-related death in female patients. The quantitative ultrasound techniques being developed recently provide useful information facilitating the classification of tumors as malignant or benign. Quantitative parameters are typically determined on the basis of signals scattered within the tumor. The present paper demonstrates the utility of quantitative data estimated based on signal backscatter in the tissue surrounding the tumor. Two quantitative parameters, weighted entropy and Nakagami shape parameter were calculated from the backscatter signal envelope. The ROC curves and the AUC parameter values were used to assess their ability to classify neoplastic lesions. Results indicate that data from tissue surrounding the tumor may characterize it better than data from within the tumor. AUC values were on average 18% higher for parameters calculated from data collected from the tissue surrounding the lesion than from the data from the lesion itself.
KeywordsQuantitative ultrasound Tissue characterisation Tumor classification
This study was supported by the National Science Centre, Poland, grants 2016/23/B/ST8/03391, 2016/21/N/ST7/03029 and 2014/13/B/ST7/01271. The project was implemented using the infrastructure of CePT, Operational Program “Innovative economy” for 2007–2013.
- 2.Wojciechowska, U., Olasek, P., Czauderna, K., Didkowska, J.: Cancer in Poland in 2014. Centrum Onkologii-Instytut im, Marii Skłodowskiej-Curie (2016)Google Scholar
- 5.Mendelson, E., Böhm-Vélez, M., Berg, W., Whitman, G., Feldman, M., Madjar, H., Rizzsatto, G., Baker, J., Zuley, M., Stavros, A., Comstock, C., Van Duyn Wear, V.: ACR BI-RADS® ultrasound. ACR BI-RADS® Atlas, Breast Imaging Reporting and Data System, vol. 149. American College of Radiology, Reston (2013)Google Scholar
- 15.Hruska, D.P.: Improved techniques for statistical analysis of the envelope of backscattered ultrasound using the homodyned K distribution. Master’s thesis, University of Illinois at Urbana-Champaign (2009)Google Scholar
- 18.Nakagami, M.: The m-distribution-a general formula of intensity distribution of rapid fading. In: Statistical Method of Radio Propagation (1960)Google Scholar
- 20.Gefen, S., Tretiak, O.J., Piccoli, C.W., Donohue, K.D., Petropulu, A.P., Shankar, P.M., Dumane, V.A., Huang, L., Kutay, M.A., Genis, V., et al.: ROC analysis of ultrasound tissue characterization classifiers for breast cancer diagnosis. IEEE Trans. Med. Imaging 22(2), 170–177 (2003)CrossRefGoogle Scholar
- 21.Tsui, P.H., Chang, C.C., Ho, M.C., Lee, Y.H., Chen, Y.S., Chang, C.C., Huang, N.E., Wu, Z.H., Chang, K.J.: Use of nakagami statistics and empirical mode decomposition for ultrasound tissue characterization by a nonfocused transducer. Ultrasound Med. Biol. 35(12), 2055–2068 (2009)CrossRefGoogle Scholar
- 40.Stavros, A.T.: Breast Ultrasound. Lippincott Williams & Wilkins, Philadelphia (2004)Google Scholar