和平,吴青青,孙丽娟,王晶晶,王莉,韩吉晶,张铁娟.对比观察ADNEX模型、简单规则风险估计模型及恶性风险指数诊断卵巢良恶性肿瘤[J].中国医学影像技术,2019,35(1):104~107
对比观察ADNEX模型、简单规则风险估计模型及恶性风险指数诊断卵巢良恶性肿瘤
Comparison of ADNEX model, simple rules risk model and risk of malignancy index in diagnosis of benign and malignant ovarian tumors
投稿时间:2018-05-31  修订日期:2018-09-17
DOI:10.13929/j.1003-3289.201805166
中文关键词:  卵巢肿瘤  ADNEX模型  简单规则风险估计模型  恶性风险指数  超声检查
英文关键词:ovarian neoplasms  ADNEX model  simple rules risk model  risk of malignancy index  ultrasonography
基金项目:国家重点研发计划(2016YFC1000104)、北京市医院管理局"登峰"计划专项经费(DFL20151302)。
作者单位E-mail
和平 首都医科大学附属北京妇产医院超声科, 北京 100026  
吴青青 首都医科大学附属北京妇产医院超声科, 北京 100026 wuqq2007@163.com 
孙丽娟 首都医科大学附属北京妇产医院超声科, 北京 100026  
王晶晶 首都医科大学附属北京妇产医院超声科, 北京 100026  
王莉 首都医科大学附属北京妇产医院超声科, 北京 100026  
韩吉晶 首都医科大学附属北京妇产医院超声科, 北京 100026  
张铁娟 首都医科大学附属北京妇产医院超声科, 北京 100026  
摘要点击次数: 2998
全文下载次数: 869
中文摘要:
      目的 比较ADNEX模型、简单规则风险估计模型及恶性风险指数(RMI)对卵巢良恶性肿瘤的诊断价值。方法 回顾性分析286例卵巢肿瘤患者的术前超声检查图像,分别以ADNEX模型、简单规则风险估计模型及RMI评估卵巢肿瘤的良恶性。以病理结果为金标准,计算并比较3种方法的敏感度、特异度,绘制ROC曲线,获得曲线下面积。结果 286例卵巢肿瘤患者中,良性肿瘤142例,恶性肿瘤144例。ADNEX模型、简单规则风险估计模型、RMI诊断卵巢良恶性肿瘤的敏感度分别为83.33%(120/144)、80.56%(116/144)、65.97%(95/144),特异度分别为89.44%(127/142)、92.96%(132/142)、90.14%(128/142)。ADNEX模型与简单规则风险估计模型间敏感度及特异度差异均无统计学意义(χ2=0.352、1.784,P=0.554、0.182),ADNEX模型及简单规则风险估计模型的敏感度均高于RMI(χ2=16.691、7.533,P均<0.001),而特异度与RMI间差异均无统计学意义(χ2=0、0.561,P=1.000、0.454)。ADNEX模型、简单规则风险估计模型及RMI鉴别卵巢肿瘤良恶性的AUC分别为0.864、0.868和0.788(P均<0.001)。结论 ADNEX模型及简单规则风险估计模型鉴别卵巢肿瘤良恶性的效能在一定程度上优于RMI。
英文摘要:
      Objective To compare the value of ADNEX model, simple rules risk model and the risk of malignancy index (RMI) in diagnosis of benign and malignant ovarian tumors. Methods The preoperative ultrasonic images of 286 patients with ovarian tumors were retrospectively analyzed. ADNEX model, simple rules risk model and RMI were used to differentiate benign and malignant ovarian tumors. Taken histopathological results after surgery as golden standards, the sensitivity and specificity were calculated and compared among 3 methods. ROC curve was used to obtain the area under the curves. Results Among 286 ovarian tumors, 142 were benign and 144 were malignant. The sensitivity of ADNEX model, simple rules risk model and RMI was 83.33% (120/144), 80.56% (116/144) and 65.97% (95/144), respectively, while the specificity was 89.44% (127/142), 92.96% (132/142) and 90.14% (128/142), respectively. There was no statistical difference of sensitivity nor specificity between ADNEX model and simple rules risk model (χ2=0.352, 1.784, P=0.554, 0.182). The sensitivity of ADNEX model and simple rules risk model was higher than that of RMI (χ2=16.691, 7.533, respectively, both P<0.001), while there was no statistical difference of specificity (χ2=0, 0.561, P=1, 0.454). The AUC of ADNEX model, simple rules risk model and RMI was 0.864, 0.868 and 0.788, respectively (all P<0.001). Conclusion ADNEX model and simple rules risk model are better than RMI in differentiating benign and malignant ovarian tumors.
查看全文  查看/发表评论  下载PDF阅读器