| 李海明,赵书会,强金伟,冯峰,张国福.多b值DWI鉴别诊断交界性与恶性上皮性卵巢肿瘤[J].中国医学影像技术,2018,34(7):1050~1054 |
| 多b值DWI鉴别诊断交界性与恶性上皮性卵巢肿瘤 |
| Multi-b-value DWI in differential diagnosis of borderline and malignant epithelial ovarian tumors |
| 投稿时间：2017-09-25 修订日期：2018-03-08 |
| DOI：10.13929/j.1003-3289.201709140 |
| 中文关键词: 卵巢肿瘤 磁共振成像 诊断,鉴别 |
| 英文关键词:Ovarian neoplasms Magnetic resonance imaging Diagnosis,differential |
| 基金项目:南通市卫生和计划生育委员会青年基金（WQ2016065）。 |
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| 中文摘要: |
| 目的 观察多b值DWI鉴别诊断交界性上皮性卵巢肿瘤（BEOT）与恶性上皮性卵巢肿瘤（MEOT）的价值。方法 对43例上皮性卵巢肿瘤患者[包括29例MEOT （MEOT组）和14例BEOT （BEOT组）]行多b值DWI扫描，分别计算常规DWI参数（ADC）、体素内不相干运动（IVIM）模型参数（IVIM-D、IVIM-D*及IVIM-f）及扩散峰度成像（DKI）参数（DKI-D、DKI-K）值，并比较2组间各参数差异。绘制ROC曲线，评价各参数鉴别诊断BEOT与MEOT的效能，分析观察者间和观察者内一致性。结果 BEOT组ADC值、IVIM-D值、IVIM-f值及DKI-D值均高于MEOT组，而DKI-K值低于MEOT组（P均<0.05）。2组IVIM-D*值差异无统计学意义（P=0.133）。DKI-K值鉴别诊断BEOT与MEOT的效能最高，ROC曲线下面积为0.900（P<0.001），敏感度和特异度分别为85.71%和86.21%。观察者间和观察者内测量DWI各参数的一致性均非常好（ICC均>0.8）。结论 不同模型多b值DWI均有助于鉴别诊断BEOT与MEOT，DKI-K值的鉴别诊断效能最高。 |
| 英文摘要: |
| Objective To investigate the significance of multi-b-value DWI in differential diagnosis of borderline epithelial ovarian tumor (BEOT) and malignant epithelial ovarian tumor (MEOT).Methods Multi-b-value DWI scanning was performed in 43 patients with epithelial ovarian tumors (MEOT group[n=29] and BEOT group[n=14]). The parameters, including conventional DWI parameter (ADC), intravoxel incoherent motion (IVIM) parameters (IVIM-D, IVIM-D* and IVIM-f) and diffusion kurtosis imaging (DKI) parameters (DKI-K and DKI-D) were measured, and the differences of all the parameters were compared between the two groups. ROC curves were used to evaluate their efficiency in differential diagnosis of BEOT and MEOT. The intra-observer and inter-observer consistency were analyzed.Results ADC, IVIM-D, IVIM-f and DKI-D values were significantly higher in BEOT group than those in MEOT group, whereas DKI-K value was significantly lower in BEOT group than that in MEOT group (all P<0.05). There was no significant difference of IVIM-D* values between the 2 groups (P=0.133). The most effective differential diagnostic value between BEOT and MEOT was DKI-K, and the area under ROC was 0.900 (P<0.001), the sensitivity and specificity was 85.71% and 86.21%, respectively. The intra-observer and inter-observer consistency were both very good (all ICC>0.8).Conclusion The different models of multi-b-value DWI are helpful to the differential diagnosis of BEOT and MEOT, and DKI-K value has the highest efficiency. |
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