Vascular morphologic information of three-dimensional power Doppler ultrasound is valuable in the classification of breast lesions.
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.
Department of Bio-industrial Mechatronics Engineering, National Taiwan University, Taipei, Taiwan.
Ping-Lang
PL
Yen
Hwa-Koon
HK
Wu
Hsin-Shun
HS
Tseng
Shou-Jen
SJ
Kuo
Yu-Len
YL
Huang
Hong-Ting
HT
Chen
Dar-Ren
DR
Chen
D001943:Breast Neoplasms / Q000098:blood supply* / Q000145:classification / Q000000981:diagnostic imaging*; D003936:Diagnosis, Computer-Assisted; D005260:Female; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D009389:Neovascularization, Pathologic / Q000000981:diagnostic imaging*; D012372:ROC Curve; D015203:Reproducibility of Results; D012189:Retrospective Studies; D012680:Sensitivity and Specificity; D013624:Taiwan; D018608:Ultrasonography, Doppler; D016217:Ultrasonography, Mammary / Q000379:methods*