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Meta-analysis of PET/CT Detect Lymph Nodes Metastases of Cervical Cancer
OBJECTIVE: The aim of this study was to assess the diagnostic value of PET/CT for metastatic lymph nodes in cervical cancer patients. METHODS: Searching in the databases including PubMed, Embase, Web of Science, Cochrane Library and Google Scholar about non-invasive modalities for detecting lymph no...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
De Gruyter
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6153451/ https://www.ncbi.nlm.nih.gov/pubmed/30263970 http://dx.doi.org/10.1515/med-2018-0065 |
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author | Ruan, Jianjiang Zhang, Yueqiao Ren, Hong |
author_facet | Ruan, Jianjiang Zhang, Yueqiao Ren, Hong |
author_sort | Ruan, Jianjiang |
collection | PubMed |
description | OBJECTIVE: The aim of this study was to assess the diagnostic value of PET/CT for metastatic lymph nodes in cervical cancer patients. METHODS: Searching in the databases including PubMed, Embase, Web of Science, Cochrane Library and Google Scholar about non-invasive modalities for detecting lymph nodes metastases during 2000~2017. Following further screening, the extracted effective data were calculated by Meta-Disc 1.4 software, such as sensitivity (SEN), specificity (SPE), positive likelihood (LR+), and negative likelihood ratio (LR-). RESULTS: we obtained 27 articles. The pooled estimates for sensitivity of PET/CT were 0.72 (95% CI, [0.69, 0.75]); for specificity were 0.96 (95% CI, [0.96, 0.97]). Its weighted AUC was 0.93. CONCLUSION: PET/CT remains to be an effective method for diagnosis of metastatic lymph nodes from cervical cancer. |
format | Online Article Text |
id | pubmed-6153451 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | De Gruyter |
record_format | MEDLINE/PubMed |
spelling | pubmed-61534512018-09-27 Meta-analysis of PET/CT Detect Lymph Nodes Metastases of Cervical Cancer Ruan, Jianjiang Zhang, Yueqiao Ren, Hong Open Med (Wars) Regular Articles OBJECTIVE: The aim of this study was to assess the diagnostic value of PET/CT for metastatic lymph nodes in cervical cancer patients. METHODS: Searching in the databases including PubMed, Embase, Web of Science, Cochrane Library and Google Scholar about non-invasive modalities for detecting lymph nodes metastases during 2000~2017. Following further screening, the extracted effective data were calculated by Meta-Disc 1.4 software, such as sensitivity (SEN), specificity (SPE), positive likelihood (LR+), and negative likelihood ratio (LR-). RESULTS: we obtained 27 articles. The pooled estimates for sensitivity of PET/CT were 0.72 (95% CI, [0.69, 0.75]); for specificity were 0.96 (95% CI, [0.96, 0.97]). Its weighted AUC was 0.93. CONCLUSION: PET/CT remains to be an effective method for diagnosis of metastatic lymph nodes from cervical cancer. De Gruyter 2018-09-22 /pmc/articles/PMC6153451/ /pubmed/30263970 http://dx.doi.org/10.1515/med-2018-0065 Text en © 2018 Jianjiang Ruan et al., published by De Gruyter http://creativecommons.org/licenses/by-nc-nd/4.0 This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. |
spellingShingle | Regular Articles Ruan, Jianjiang Zhang, Yueqiao Ren, Hong Meta-analysis of PET/CT Detect Lymph Nodes Metastases of Cervical Cancer |
title | Meta-analysis of PET/CT Detect Lymph Nodes Metastases of Cervical Cancer |
title_full | Meta-analysis of PET/CT Detect Lymph Nodes Metastases of Cervical Cancer |
title_fullStr | Meta-analysis of PET/CT Detect Lymph Nodes Metastases of Cervical Cancer |
title_full_unstemmed | Meta-analysis of PET/CT Detect Lymph Nodes Metastases of Cervical Cancer |
title_short | Meta-analysis of PET/CT Detect Lymph Nodes Metastases of Cervical Cancer |
title_sort | meta-analysis of pet/ct detect lymph nodes metastases of cervical cancer |
topic | Regular Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6153451/ https://www.ncbi.nlm.nih.gov/pubmed/30263970 http://dx.doi.org/10.1515/med-2018-0065 |
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