彩色多普勒血流成像血流阻力指数联合形态影像在良恶性卵巢肿瘤鉴别中的应用研究

目的:探讨彩色多普勒血流成像(CDFI)血流阻力指数联合形态影像在良恶性卵巢肿瘤鉴别中的应用价值。方法:选取医院接诊的73例卵巢肿瘤患者,将其不同检查方法的影像资料分为观察组和对照组,观察组采用超声形态影像联合血流阻力(RI)指数进行检查;对照组采用二维超声形态影像检查。将RI值和形态诊断进行5分法量化处理,绘制受试者工作特征(ROC)曲线,比较两组ROC曲线下面积(AUC)以及诊断的准确率。结果:73例患者中良性肿瘤35例,恶性肿瘤38例。对照组良恶性卵巢肿瘤的总阳性率为86.30%(63/73),低于观察组的97.26%(71/73),差异有统计学意义(x~2=5.811,P<0.05)。以病理结果为标准,观察组和对照组的AUC分别为0.964和0.803,观察组的诊断价值高于对照组。结论:CDFI联合形态影像的检查方法能对卵巢肿瘤的血流进行定量和定性分析,血流阻力指数为提高良恶性肿瘤鉴别的准确率提供重要依据。

Research on the application of the combination of blood flow RI of CDFI and morphological image in the identification of benign and malignant ovarian tumors

Objective:To explore the application value of blood flow resistance index(RI)of color Doppler flow imaging(CDFI)combined with morphological image in the identification of benign and malignant ovarian tumors.Methods:73 patients with ovarian tumor who admitted to hospital were selected and they were divided into the observation group and the control group according to different examination methods.The observation group adopted ultrasonic morphological image combined with blood flow RI to implement examination.And the control group adopted the morphological image of two-dimensional(2D)ultrasound to implement examination.The RI value and morphological diagnosis were quantitatively conducted by 5-point method,and the receiver operating characteristic(ROC)curve was drawn.And the area under curve(AUC)of ROC curve and diagnostic accuracy of the two groups were further compared.Results:35 cases were benign tumor and 38 cases were malignant tumor in 73 patients.The total positive rate of benign and malignant ovarian tumors was 86.30%in control group(63/73),which was significantly lower than 97.26%(71/73)in observation group(x2=5.811,P<0.05).Taking the pathological results as the standard,the area under curves(AUC)of the observation group and the control group were 0.964 and 0.803 respectively,and the diagnostic value of the observation group was higher than that of the control group.Conclusion:The examination of CDFI combined with morphological image can quantitatively and qualitatively analyze the blood flow of ovarian tumors,and the blood flow RI can provide important basis for improving the accuracy of differentiating benign and malignant tumors.