卵巢肿块性质的超声指标Fisher判别分析

目的 建立超声指标诊断卵巢肿块性质的Fisher判别函数. 方法 共纳入卵巢非赘生性肿块48个、良性肿瘤137个、恶性肿瘤120个,以超声参数和多普勒血流信号为鉴别诊断变量,逐步判别分析法建立Fisher判别函数,绘制投影图和领域图,回代法和刀切法验证. 结果 ①单因素分析显示3类肿块在体积、内部舒张期血流速度(V_(ED))、平均血流速度(V_m)、阻力指数(RI)、搏动指数(PI)、物理性质、回声、形态、边界、腹水和血流信号分级方面差异有统计学意义;②逐步判别分析法显示肿块体积、RI、物理性质、形态和边界是鉴别诊断肿块性质的显著指标.两个非标化Fisher判别函数是:方程1=0.002体积-4.793RI+0.468物理性质+0.862形态+0.901边界-4.076;方程2=0.005体积-1.480RI+0.851物理性质-0.291形态+0.443边界+0.524;③3类卵巢肿块的二维坐标投影散点基本清晰;④回代法验证函数诊断非赘生性肿块、良性肿瘤和恶性肿瘤的敏感度分别是91.67%、88.32%和93.33%;刀切法分别是91.67%、86.13%和93.33%. 结论 超声肿块体积、RI、物理性质、形态和边界是鉴别卵巢肿块性质的显著指标,Fisher判别分析法可为卵巢肿块性质提供较好的鉴别诊断模型.

Fisher discriminant analysis of ultrasonography index in diagnosing characters of ovarian neoplasms

Objective To construct Fisher discrminant functions with index of ultrasonography. Methods A total of 48 non-neoplastic ovarian cysts,137 benign and 120 malignant ovarian tumors were enrolled in this study. Taking ultrasonographic parameters and Doppler blood flow signals as differential diagnosis variable,a diagnosis model was developed using stepwise discriminant analysis. Then a projection and territorial map were drew and the diagnostic ability of the model was verified with substitution method and jack...