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	Quantitative analysis of peri-tumor tissue elasticity based on shear-wave elastography for breast tumor classification
	Xiao, Yang; Zeng, Jie; Qian, Ming; Zheng, Rongqi; Zheng, Hairong
	2013
会议名称	2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013
会议地点	Osaka, Japan
英文摘要	For shear-wave elastography (SWE) images, the most common site of tumor-associated stiffness is generally in the surrounding stroma rather than the tumor itself. The aim of this study is to assess the value of the peri-tumor tissue elasticity in the classification of breast tumors. SWE images of 106 breast tumors (65 benign, 41 malignant) were collected from 82 consecutive patients. By applying the image processing method, 5 elastographic features of the peri-tumor area (elasticity modulus mean, maximum, standard deviation, hardness degree and elasticity ratio) were computed to represent peri-tumor tissue elasticity. B-mode Breast Imaging Reporting and Data System (BI-RADS) were used for comparing the diagnostic performances between the grayscale US and color SWE images. Histopathologic results were used as the reference standard. The t-test, point biserial correlation coefficient and receiver operating characteristic (ROC) curve analysis were performed for statistical analysis. As a result, the Az values (area under ROC curve) were 0.92, 0.95, 0.94, 0.91, and 0.98 for the classifiers using the five elastographic features respectively, and 0.91 for BI-RADS assessment. The results showed that the peri-tumor tissue elasticity could provide valuable information for breast tumor classification.
收录类别	EI
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/4929]
专题	深圳先进技术研究院_医工所
作者单位	2013
推荐引用方式 GB/T 7714	Xiao, Yang,Zeng, Jie,Qian, Ming,et al. Quantitative analysis of peri-tumor tissue elasticity based on shear-wave elastography for breast tumor classification[C]. 见:2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013. Osaka, Japan.

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