中国医学影像技术
中國醫學影像技術
중국의학영상기술
CHINESE JOURNAL OF MEDICAL IMAGING TECHNOLOGY
2010年
4期
737-740
,共4页
刘淑霞%陈荣川%刘艳丽%常辉%许春晓
劉淑霞%陳榮川%劉豔麗%常輝%許春曉
류숙하%진영천%류염려%상휘%허춘효
超声检查%卵巢囊肿%肿瘤%Fisher判别分析
超聲檢查%卵巢囊腫%腫瘤%Fisher判彆分析
초성검사%란소낭종%종류%Fisher판별분석
Ultrasonography%Ovarian cysts%Neoplasms%Fisher discriminant analysis
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.
目的 建立超聲指標診斷卵巢腫塊性質的Fisher判彆函數. 方法 共納入卵巢非贅生性腫塊48箇、良性腫瘤137箇、噁性腫瘤120箇,以超聲參數和多普勒血流信號為鑒彆診斷變量,逐步判彆分析法建立Fisher判彆函數,繪製投影圖和領域圖,迴代法和刀切法驗證. 結果 ①單因素分析顯示3類腫塊在體積、內部舒張期血流速度(V_(ED))、平均血流速度(V_m)、阻力指數(RI)、搏動指數(PI)、物理性質、迴聲、形態、邊界、腹水和血流信號分級方麵差異有統計學意義;②逐步判彆分析法顯示腫塊體積、RI、物理性質、形態和邊界是鑒彆診斷腫塊性質的顯著指標.兩箇非標化Fisher判彆函數是:方程1=0.002體積-4.793RI+0.468物理性質+0.862形態+0.901邊界-4.076;方程2=0.005體積-1.480RI+0.851物理性質-0.291形態+0.443邊界+0.524;③3類卵巢腫塊的二維坐標投影散點基本清晰;④迴代法驗證函數診斷非贅生性腫塊、良性腫瘤和噁性腫瘤的敏感度分彆是91.67%、88.32%和93.33%;刀切法分彆是91.67%、86.13%和93.33%. 結論 超聲腫塊體積、RI、物理性質、形態和邊界是鑒彆卵巢腫塊性質的顯著指標,Fisher判彆分析法可為卵巢腫塊性質提供較好的鑒彆診斷模型.
목적 건립초성지표진단란소종괴성질적Fisher판별함수. 방법 공납입란소비췌생성종괴48개、량성종류137개、악성종류120개,이초성삼수화다보륵혈류신호위감별진단변량,축보판별분석법건립Fisher판별함수,회제투영도화영역도,회대법화도절법험증. 결과 ①단인소분석현시3류종괴재체적、내부서장기혈류속도(V_(ED))、평균혈류속도(V_m)、조력지수(RI)、박동지수(PI)、물이성질、회성、형태、변계、복수화혈류신호분급방면차이유통계학의의;②축보판별분석법현시종괴체적、RI、물이성질、형태화변계시감별진단종괴성질적현저지표.량개비표화Fisher판별함수시:방정1=0.002체적-4.793RI+0.468물이성질+0.862형태+0.901변계-4.076;방정2=0.005체적-1.480RI+0.851물이성질-0.291형태+0.443변계+0.524;③3류란소종괴적이유좌표투영산점기본청석;④회대법험증함수진단비췌생성종괴、량성종류화악성종류적민감도분별시91.67%、88.32%화93.33%;도절법분별시91.67%、86.13%화93.33%. 결론 초성종괴체적、RI、물이성질、형태화변계시감별란소종괴성질적현저지표,Fisher판별분석법가위란소종괴성질제공교호적감별진단모형.
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 jackknife. Results ①Univariate analysis indicated that ovarian cysts volume, end-diastolic blood flow velocity (V_(ED)), mean blood flow velocity (V_m), resistance index (RI), pulse index (PI), physical property, echo, shape, boundary, ascites and blood flow signal have statistical difference among the three kinds of ovarian cysts. ②Stepwise discriminant analysis showed that volume, resistance index, physical property, shape and boundary are the independent prognostic variables. The two Fisher discriminant functions were as following: Function 1=0.002volume-4.793 RI+0.468physical property+0.862shape+0.901boundary-4.076, Function 2=0.005volume-1.480 RI+0.851physical property-0.291shape+0.443boundary+0.524. ③The projective positions of three kinds of ovarian cysts at 2D coordinates were clear. ④The sensibility and specificity of mode for diagnosis non-neoplastic ovarian cysts, benign and malignant ovarian tumors was 91.67%, 88.32% and 93.33% with substitution method, and was 91.67%, 86.13% and 93.33% with jackknife method. Conclusion Cysts volume, RI, physical property, shape and boundary are the significant differential prognostic variables. Fisher discriminant analysis can provide a reliable prognostic model for ovarian cysts.
