超声卵巢-附件影像报告和数据系统与国际卵巢肿瘤研究组简单法则诊断卵巢肿块的对比研究  

Diagnostic efficacy of ultrasound O-RADS and IOTA simple rules for ovarian masses:a comparative study

作　　者：邱嘉卉 胡彧[2] 马倩[2] 朱楠 叶新华[2] QIU Jiahui;HU Yu;MA Qian;ZHU Nan;YE Xinhua(Department of Gynecology,the First Affiliated Hospital of Nanjing Medical University,Nanjing 210029,China)

机构地区：[1]南京医科大学第一附属医院妇科,南京市210029 [2]南京医科大学第一附属医院超声医学科

出　　处：《临床超声医学杂志》2023年第8期659-663,共5页Journal of Clinical Ultrasound in Medicine

基　　金：2022年度临床能力提升工程医疗项目立项(JSPH-MB-2022-14)。

摘　　要：目的 比较超声卵巢-附件影像报告和数据系统(O-RADS)与国际卵巢肿瘤研究组(IOTA)简单法则诊断卵巢良恶性肿块的价值。方法 选取我院经手术病理证实的卵巢肿块患者129例,共计159个病灶,分别使用O-RADS和IOTA简单法则进行分类评价;绘制受试者工作特征曲线分析并比较二者对卵巢良恶性肿块的诊断效能。结果 O-RADS与IOTA简单法则鉴别卵巢良恶性肿块的曲线下面积分别为0.863、0.823,差异有统计学意义(P=0.015)。O-RADS鉴别卵巢良恶性肿块的灵敏度为95.1%,特异度为77.6%;IOTA简单法则鉴别卵巢良恶性肿块的灵敏度为90.2%,特异度为74.5%。结论 O-RADS鉴别卵巢良恶性肿块的诊断效能较IOTA简单法则更高。Objective To compare the value of ultrasound ovarian-adnexal imaging reporting and data system(O-RADS)and International Ovarian Tumor Analysis(IOTA)simple rules(SR)in the diagnosis of benign and malignant ovarian masses.Methods A total of 129 cases of ovarian masses(159 lesions)confirmed by pathology in our hospital were selected,and O-RADS and IOTA SR were used for classification evaluation,respectively.Receiver operating characteristic curve was drawn to analyze and compare the efficacy of the two methods in the diagnosis of benign and malignant ovarian masses.Results The area under curve of O-RADS and IOTA SR in the diagnosis of benign and malignant ovarian masses were0.863 and 0.823,respectively.The differences was statistically significant(P=0.015).The sensitivity and specificity of O-RADS in the diagnosis of benign and malignant ovarian masses were 95.1% and 77.6%,and the sensitivity and specificity of IOTA SR for the diagnosis of benign and malignant ovarian masses were 90.2% and 74.5%.Conclusion Compared with IOTA SR,O-RADS has higher diagnostic efficiency in the differential diagnosis of benign and malignant ovarian masses.

关 键 词：超声检查 卵巢肿块 良恶性 卵巢-附件影像报告和数据系统 国际卵巢肿瘤研究组 简单法则 

分 类 号：R445.1[医药卫生—影像医学与核医学] R737.31[医药卫生—诊断学]