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 |
DOI: |
投稿时间:2023-12-20修订日期:2024-01-03 |
基金项目: |
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Diagnostic Value of Ultrasound Ovarian Adnexal Reporting Data System for Benign and Malignant Masses |
wangxiaohan,wang chunli,liu jingjing,yang dongliang |
(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. |
Key words: ovarian tumor Ovarian cancer diagnosis O-RADS Meta-analysis |