目的研究动态增强磁共振检查 (Magnetic Resonance,MR)半定量参数及 定量参数对卵巢肿瘤鉴别诊断的价值。 方法 收集我院67例卵巢肿瘤患者病例资 料。所有患者均在我院行动态增强MR扫 描，并接受手术治疗，根据病理组织学结 果，将患者分为恶性卵巢肿瘤组(n=25)与 良性卵巢肿瘤组(n=42)。计算动态增强 扫描MR半定量及定量参数，包括达峰值 时间(TTP)、最大线性上升斜率(MSI)、 最大线性下降斜率(MSD)、容量转移常数 (Ktrans)、速率常数(Kep)、血管外细胞外 间隙容积比(Ve)。根据ROC曲线分析半定 量与定量参数区分良恶性卵巢肿瘤的ROC 曲线下面积、最大约登指数、最佳阈值、 灵敏度、特异度、阳性预测值、阴性预 测值、总符合率。结果 恶性卵巢肿瘤组 TTP显著低于良性卵巢肿瘤组(P＜0.05)， MSI、MSD、Ktrans、Kep、Ve显著高于良性 卵巢肿瘤组(P＜0.05)。根据ROC曲线分 析，半定量参数TTP、MSI、MSD与定量参 数Ktrans、Kep、Ve的ROC曲线下面积分别为 0.859、0.820、0.747、0.903、0.887、 0.736，最佳阈值为85.044、72.963、 30.582、0.156、0.390、0.108，灵敏 度为84.3%、81.6%、75.2%、92.1%、 97.4%、80.3%，特异度为79.9%、67.2%、 63.1%、77.9%、64.8%、59.2%。结论 动 态增强扫描MR半定量与定量参数是常规MR 重要补充，可以为医师鉴别良恶性卵巢肿 瘤提供一定帮助。

Objective To study the value of semi-quantitative parameters and quantitative parameters of dynamic contrast-enhanced magnetic resonance (MR) in the differential diagnosis of ovarian tumors. Methods The medical data of 67 patients with ovarian tumors who were admitted to our hospital were collected. All patients underwent dynamic contrast-enhanced MR scan in our hospital and they were given surgical treatment. According to the results of histopathology, the patients were divided into malignant ovarian tumor group (n=25) and benign ovarian tumor group (n=42). Semi-quantitative parameters and quantitative parameters of dynamic contrast-enhanced MR scan, including the time to peak (TTP), the maximum slope of increase (MSI), the maximum maximum slope of decrease (MSD), volume transfer constant (Ktrans) and rate constant (Kep) and extravascular extracellular space volume ratio (Ve) were calculated. The area under ROC curve, the maximum Youden index, the optimal threshold, the sensitivity, specificity, positive predictive value, negative predictive value and the total coincidence rate of semi-quantitative parameters and quantitative parameters in the differential diagnosis of benign and malignant ovarian tumors were analyzed according to ROC curve analysis. Results The TTP of malignant ovarian tumor group was significantly shorter than that of benign ovarian tumor group (P<0.05), the MSI, MSD, Ktrans, Kep and Ve were significantly higher than those in benign ovarian tumor group (P<0.05). According to ROC curve analysis, areas under ROC curve of semi-quantitative parameters TTP, MSI and MSD and quantitative parameters Ktrans, Kep and Ve were 0.859,0.820,0.747,0.903,0.887 and 0.736 respectively, the optimal thresholds were 85.044,72.963,30.582,0.156,0.390 and 0.108 respectively, the sensitivities were 84.3%,81.6%,75.2%,92.1%,97.4% and 80.3% respectively, and the specificities were 79.9%,67.2%,63.1%,77.9%,64.8% and 59.2% respectively. Conclusion Semi-quantitative parameters and quantitative parameters of dynamic contrast-enhanced MR scan are important supplement of conventional MR which can provide some help for doctors to identify benign and malignant ovarian tumors.