动态增强扫描MR半定量参数及定量参数对卵巢肿瘤鉴别诊断的价值  被引量:12

Value of Semi-quantitative Parameters and Quantitative Parameters of Dynamic Contrast-enhanced MR in the Differential Diagnosis of Ovarian Tumors

在线阅读下载全文

作  者:左鹏[1,2] 樊斌[2] 江鹏[2] 王孟 ZUO Peng;FAN Bin;JIANG Peng(Wuhan University School of Basic Medical Sciences,Wuhan 430071,Hubei Province,China)

机构地区:[1]武汉大学基础医学院,湖北武汉430071 [2]湖北省黄冈市中心医院医学影像科,湖北黄冈438000

出  处:《中国CT和MRI杂志》2018年第7期109-112,共4页Chinese Journal of CT and MRI

摘  要: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(K^(trans))、速率常数(K_(ep))、血管外细胞外间隙容积比(V_e)。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、K^(trans)、K_(ep)、V_e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K^(trans)、K_(ep)、V_e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(K-(trans)) and rate constant(K(ep)) 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, K-(trans), K(ep) 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 K-(trans), K(ep) 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 S

关 键 词:卵巢肿瘤 磁共振成像 动态增强 半定量参数 定量参数 

分 类 号:R737.31[医药卫生—肿瘤]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象