彩色多普勒超声鉴别乳腺肿物良恶性的多因素分析

目的 使用多因素分析方法,探讨超声在鉴别乳腺良恶性肿物中的实用价值.方法 乳腺病变住院患者133例,观察乳腺肿物二维声像图及彩色多普勒血流的表现,将单因素分析得出的与乳腺恶性肿物有关的变量进入回归统计,采用Logistic逐步回归法建立回归模型.结果 乳腺良恶性肿物在测量值的纵横比、形态、边界、包膜、内部回声、后方衰减、回声类型、钙化、腋窝淋巴结、血流分级、血流形态、峰值流速,平均流速、PI、RI间均存在显著差异(P<0.05),将上述变量进入回归统计,显示肿物形态,边界,及肿物的血流Adler分级进入回归模型.结论 乳腺良恶性肿物在二维声像图及彩色多普勒血流诸多方面均有差异,通过建立Logistic回归模型,认为肿物形态、边界、以及肿物的血流分级对诊断最有价值.

Multivariate Analysis in Differential Diagnosis of Benign and Malignant Breast Tumors via Color Doppler Flow Imaging

Objective To evaluate the diagnostic value of ultrasound to differentiate benign and malignant breast tumors. Methods Breast lesions in 132 patients were observed with two-dimensional ultrasound firstly, then with CDFI and CDE, and were analyzed via multivariate Logistic regression. Results There were significant differences in the longitudinal-transverse axis ratio, shape, edge, membrane, internal and rear echoes, calcifications and enlarged axillary lymph nodes between malignant and benigh. Adler grade of blood flow, flow shape, PSV, PI, RI, and Vmean were analyzed via multivariate Logistic regression, The shape, edge, and Adler grade of blood flow were selected into the regression modelity. Conclusions There was significant difference between malignant and benigh evaluated via multivariate Logistic regression on two-dimensional ultrasound, CDFI and CDE.