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• W2976336521 abstract "<b><i>Object:</i></b> The purpose of this review is to assess the diagnostic performance of different imaging techniques for the detection of para-aortic lymph node (PALN) metastasis from gynecological malignancies. <b><i>Methods:</i></b> Six databases, from the earliest available date of indexing through July 22, 2018, were systematically searched. In addition, the reference lists of relevant articles were searched by hand. Study allocation, data extraction, and quality assessment were independently performed by 2 reviewers. The size effect, sensitivity (SEN), specificity (SPE), positive likelihood ratio, negative likelihood ratio, diagnostic OR, and 95% CIs were used in the meta-analysis. The area under the curve (AUC) and Q* were calculated to reflect the synthesized diagnostic accuracy. Statistical calculations of this meta-analysis were conducted using STATA version 14.0 software. <b><i>Results:</i></b> Across 41 eligible studies (1,615 participants), pooled SEN, SPE, and AUC of magnetic resonance imaging (MRI), computed tomography (CT), positron emission tomography (PET), PET-CT, and lymphangiography analyses were 25%, 93%, 0.7675; 60%, 94%, 0.9050; 83%, 96%, 0.9422; 66%, 97%, 0.9501; 77%, 75%, 0.8332, respectively. Analysis of combined summary receiver operating characteristic curves indicated that PET and PET-CT were superior to other imaging modalities. <b><i>Conclusion:</i></b> The present meta-analysis demonstrated that PET and PET-CT should be the first choice for detecting PALN metastasis in gynecological malignancies. CT was also suitable for confirmation. MRI was not recommended. Further studies are needed for PALN assessment." @default.
• W2976336521 created "2019-10-03" @default.
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• W2976336521 date "2019-09-10" @default.
• W2976336521 modified "2023-09-25" @default.
• W2976336521 title "Performance of Different Imaging Techniques for Detection of Para-Aortic Lymph Node Metastasis from Gynecological Malignancies: A Systematic Review and Meta-Analysis" @default.
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• W2976336521 doi "https://doi.org/10.1159/000502821" @default.
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