Department of Medical Imaging, National Taiwan Univesity Hospital and National Taiwan University College of Medicine, Taipei, Taiwan.
Ultrasound Med Biol. 2012 Nov;38(11):1859-69. doi: 10.1016/j.ultrasmedbio.2012.06.010. Epub 2012 Sep 10.
This study aimed to evaluate morphologic and tortuous features of vessels inside and outside the tumor region on three-dimensional power Doppler ultrasonography (PDUS) in 113 breast mass lesions, including 60 benign and 53 malignant tumors. Compared with benign lesions, malignant breast lesions had significantly larger values of vascular morphologic and tortuous features and larger tumor sizes. The receiver operating characteristic curve analysis and Student's t-test were used to estimate the performance of a proposed classification system using 13 vascular features and tumor size selected by the neural network. Accuracy, sensitivity, specificity, positive predictive value, negative predictive value and the A(Z) value of the diagnosis performance based on 14 features were 89.38% (101/113), 84.91% (45/53), 93.33% (56/60), 91.84% (45/49), 87.50% (56/64) and 0.9188, respectively. The three-dimensional PDUS morphologic and tortuous characteristics of blood vessels inside and outside breast mass lesions can be effectively used to classify benign and malignant tumors.
本研究旨在评估三维能量多普勒超声(PDUS)在 113 个乳腺肿块病变中肿瘤区域内外血管形态和迂曲特征,包括 60 个良性和 53 个恶性肿瘤。与良性病变相比,恶性乳腺病变的血管形态和迂曲特征值明显更大,肿瘤体积也更大。采用神经网络选择的 13 个血管特征和肿瘤大小,利用受试者工作特征曲线分析和学生 t 检验评估了拟议分类系统的性能。基于 14 个特征的诊断性能的准确性、敏感度、特异度、阳性预测值、阴性预测值和 A(Z) 值分别为 89.38%(101/113)、84.91%(45/53)、93.33%(56/60)、91.84%(45/49)、87.50%(56/64)和 0.9188。乳腺肿块病变内外血管的三维 PDUS 形态和迂曲特征可有效用于良性和恶性肿瘤的分类。