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Vascular morphologic information of three-dimensional power Doppler ultrasound is valuable in the classification of breast lesions

  • Ping-Lang Yen
    Affiliations
    Department of Bio-industrial Mechatronics Engineering, National Taiwan University, Taipei, Taiwan
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  • Hwa-Koon Wu
    Affiliations
    Department of Medical Imaging, Changhua Christian Hospital, Changhua, Taiwan
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  • Hsin-Shun Tseng
    Affiliations
    Comprehensive Breast Cancer Center, Changhua Christian Hospital, Changhua, Taiwan
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  • Shou-Jen Kuo
    Affiliations
    Comprehensive Breast Cancer Center, Changhua Christian Hospital, Changhua, Taiwan
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  • Yu-Len Huang
    Correspondence
    Corresponding authors. D.-R. Chen is to be contacted at: Comprehensive Breast Cancer Center, Changhua Christian Hospital, Changhua 500, Taiwan. Tel.: +886 4 723 8595; fax: +886 4 722 8289. Y.-L. Huang, Department of Computer Science and Information Engineering Tunghai University, Taichung 407, Taiwan. Tel.: +886 4 2359 0121 3618; fax: +886 4 2359 1567.
    Affiliations
    Department of Computer Science, Tunghai University, Taichung, Taiwan
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  • Hong-Ting Chen
    Affiliations
    Department of Computer Science, Tunghai University, Taichung, Taiwan
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  • Dar-Ren Chen
    Correspondence
    Corresponding authors. D.-R. Chen is to be contacted at: Comprehensive Breast Cancer Center, Changhua Christian Hospital, Changhua 500, Taiwan. Tel.: +886 4 723 8595; fax: +886 4 722 8289. Y.-L. Huang, Department of Computer Science and Information Engineering Tunghai University, Taichung 407, Taiwan. Tel.: +886 4 2359 0121 3618; fax: +886 4 2359 1567.
    Affiliations
    Comprehensive Breast Cancer Center, Changhua Christian Hospital, Changhua, Taiwan
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Published:December 26, 2011DOI:https://doi.org/10.1016/j.clinimag.2011.11.012

      Abstract

      Doppler ultrasound imaging provides vascular information that could characterize benign and malignant breast masses in many previous publications. In this study, we applied vascular quantification and morphology features derived from three-dimensional power Doppler ultrasound as classifiers based on support vector machine. An Az value under the receiver operating characteristic (ROC) curve was used to measure the significance of each vascularization feature. Sixty solid breast tumors were assessed. According to the Az value for the ROC curve of the selected features, the classification performance of the proposed method was 0.8423, indicating that vascular morphologic information is valuable in the classification of breast lesions.

      Keywords

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