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超声卵巢附件报告数据系统鉴别附件肿块良恶性诊断价值的Meta分析
引用本文:王潇涵,王春丽,刘晶晶,杨栋梁. 超声卵巢附件报告数据系统鉴别附件肿块良恶性诊断价值的Meta分析[J]. 临床超声医学杂志, 2024, 26(5)
作者姓名:王潇涵  王春丽  刘晶晶  杨栋梁
作者单位:沧州市人民医院 沧州市 承德医学院 承德市,沧州市人民医院颐和妇产院区,沧州市人民医院 沧州市 承德医学院 承德市,沧州市高等医学专科学校
摘    要:目的?采用Meta分析评估卵巢附件报告数据系统(O-RADS)对附件肿块进行分类的诊断性能。方法?搜索Cochrane Library 、Embase、Web of Science以及Pubmed数据库,收集与研究目的相关的诊断准确性研究,检索时限均从建库至2023年9月19日。三位研究人员单独挑选出相 关的文章、收集数据,然后利用 QUADAS-2工具对被纳入研究的偏差风险做出评估之后,我们使用Stata 17.0、 Meta Disc 1.4以及Open Meta【Analyst】软件来执行Meta分析。结果?我们的研究总计涵盖了23个项目,包含了13031名女性的13372个肿瘤。Meta分析的数据表明:O-RADS对于诊断女性卵巢肿瘤良恶性的敏感度、特异度、阳性似然比、阴性似然 比以及诊断比值比分别是0.95[95% CI(0.92,0.97)]、0.81[95% CI(0.76, 0.85)]、5.0[95% CI(4.0,6.1)]、0.06[95% CI的0.06[95% CI(0.04,0.09)]以及85[95% CI (50,145)],综合受试者工作特征(SROC)曲线面积达到了0.94[95% CI(0.91,0.96)]。结论?O-RADS风险分层系统鉴别卵巢肿物良恶性准确性高,具有高敏感性和中等特异性。不同检查者之间一致性好,具有非常好的临床应用价值。

关 键 词:卵巢肿瘤  卵巢癌诊断  O-RADS  Meta 分析
收稿时间:2023-12-20
修稿时间:2024-01-03

Diagnostic Value of Ultrasound Ovarian Adnexal Reporting Data System for Benign and Malignant Masses
wangxiaohan,wang chunli,liu jingjing and yang dongliang. Diagnostic Value of Ultrasound Ovarian Adnexal Reporting Data System for Benign and Malignant Masses[J]. Journal of Ultrasound in Clinical Medicine, 2024, 26(5)
Authors:wangxiaohan  wang chunli  liu jingjing  yang dongliang
Affiliation:Chengde Medical College,,,
Abstract:Objective To evaluate the diagnostic capability of the Ovarian Adnexal Reporting Data System , which is used to classify the adnexal masses with transvagina?ultrasound.Methods? A computer search was conducted on PubMed, EMbase , Cochrane Library and Web of Science to collect diagnostic accuracy studies related to the purpose of the study. From the inception of the database until September 19, 2023, a comprehensive search was conducted.Results ?In total, 23 studies involving 13,031 women with 13,372 lumps were included. The results of the meta-analysis indicated a sensitivity (SEN) of 0.95 [95%CI (0.92, 0.97)], specificity (SPE) of 0.81[95%CI (0.76, 0.85), positive likelihood ratio (PLR) of 5.0[95%CI (4.0,6.1)], negative likelihood ratio (NLR) of 0.06[95%CI (0.04,0.09)], and diagnostic odds ratio (DOR) of 85[95%CI (50,145)]. The lower area of the integrated receiver operating characteristics (SROC) curve reached 0.94[95% CI(0.91,0.96)].?Conclusion?The O-RADS risk stratification system demonstrates excellent accuracy, with high sensitivity, and moderate specificity in distinguishing between benign and malignant ovarian tumors. The inter-rater agreement is commendable, highlighting its significant clinical utility.
Keywords:ovarian tumor   Ovarian cancer diagnosis   O-RADS   Meta-analysis
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