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Axillary lymph node metastasis detection by magnetic resonance imaging in patients with breast cancer: A meta‐analysis

BACKGROUND: The study was conducted to evaluate the diagnostic performance of magnetic resonance imaging (MRI) for the detection of axillary lymph node metastasis in patients with breast cancer. METHODS: PubMed, Medline, Web of Science, Cochrane Embase, Chinese Biomedical Literature, and China Natio...

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Autores principales: Zhou, Peng, Wei, Yongqing, Chen, Guoyue, Guo, Lei, Yan, Deyue, Wang, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons Australia, Ltd 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6068453/
https://www.ncbi.nlm.nih.gov/pubmed/29877048
http://dx.doi.org/10.1111/1759-7714.12774
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author Zhou, Peng
Wei, Yongqing
Chen, Guoyue
Guo, Lei
Yan, Deyue
Wang, Ying
author_facet Zhou, Peng
Wei, Yongqing
Chen, Guoyue
Guo, Lei
Yan, Deyue
Wang, Ying
author_sort Zhou, Peng
collection PubMed
description BACKGROUND: The study was conducted to evaluate the diagnostic performance of magnetic resonance imaging (MRI) for the detection of axillary lymph node metastasis in patients with breast cancer. METHODS: PubMed, Medline, Web of Science, Cochrane Embase, Chinese Biomedical Literature, and China National Knowledge Infrastructure databases were searched for open published studies relevant to the use of MRI for the detection of axillary lymph node metastasis in breast cancer patients. The pooled diagnostic sensitivity, specificity, and the symmetric receiver operating characteristic (SROC) curve was calculated by combining the individual data extracted from 26 included studies. RESULTS: The pooled diagnostic sensitivity and specificity of MRI to detect axillary lymph node metastasis in patients with breast cancer were 0.77 (95% confidence interval [CI] 0.75–0.80) and 0.90 (95% CI 0.89–0.91), respectively. The pooled positive and negative likelihood ratios were 7.67 (95% CI 5.09–11.53) and 0.23 (95% CI 0.17–0.32), respectively, by random effect method. The area under the SROC curve was 0.93 for MRI to detect axillary lymph node metastasis in breast cancer patients. CONCLUSION: With high sensitivity, specificity, and area under the curve, MRI is an effective method to differentiate metastatic axillary lymph node in breast cancer patients, which can provide useful information for surgical procedure selection.
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spelling pubmed-60684532018-08-03 Axillary lymph node metastasis detection by magnetic resonance imaging in patients with breast cancer: A meta‐analysis Zhou, Peng Wei, Yongqing Chen, Guoyue Guo, Lei Yan, Deyue Wang, Ying Thorac Cancer Original Articles BACKGROUND: The study was conducted to evaluate the diagnostic performance of magnetic resonance imaging (MRI) for the detection of axillary lymph node metastasis in patients with breast cancer. METHODS: PubMed, Medline, Web of Science, Cochrane Embase, Chinese Biomedical Literature, and China National Knowledge Infrastructure databases were searched for open published studies relevant to the use of MRI for the detection of axillary lymph node metastasis in breast cancer patients. The pooled diagnostic sensitivity, specificity, and the symmetric receiver operating characteristic (SROC) curve was calculated by combining the individual data extracted from 26 included studies. RESULTS: The pooled diagnostic sensitivity and specificity of MRI to detect axillary lymph node metastasis in patients with breast cancer were 0.77 (95% confidence interval [CI] 0.75–0.80) and 0.90 (95% CI 0.89–0.91), respectively. The pooled positive and negative likelihood ratios were 7.67 (95% CI 5.09–11.53) and 0.23 (95% CI 0.17–0.32), respectively, by random effect method. The area under the SROC curve was 0.93 for MRI to detect axillary lymph node metastasis in breast cancer patients. CONCLUSION: With high sensitivity, specificity, and area under the curve, MRI is an effective method to differentiate metastatic axillary lymph node in breast cancer patients, which can provide useful information for surgical procedure selection. John Wiley & Sons Australia, Ltd 2018-06-06 2018-08 /pmc/articles/PMC6068453/ /pubmed/29877048 http://dx.doi.org/10.1111/1759-7714.12774 Text en © 2018 The Authors. Thoracic Cancer published by China Lung Oncology Group and John Wiley & Sons Australia, Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Original Articles
Zhou, Peng
Wei, Yongqing
Chen, Guoyue
Guo, Lei
Yan, Deyue
Wang, Ying
Axillary lymph node metastasis detection by magnetic resonance imaging in patients with breast cancer: A meta‐analysis
title Axillary lymph node metastasis detection by magnetic resonance imaging in patients with breast cancer: A meta‐analysis
title_full Axillary lymph node metastasis detection by magnetic resonance imaging in patients with breast cancer: A meta‐analysis
title_fullStr Axillary lymph node metastasis detection by magnetic resonance imaging in patients with breast cancer: A meta‐analysis
title_full_unstemmed Axillary lymph node metastasis detection by magnetic resonance imaging in patients with breast cancer: A meta‐analysis
title_short Axillary lymph node metastasis detection by magnetic resonance imaging in patients with breast cancer: A meta‐analysis
title_sort axillary lymph node metastasis detection by magnetic resonance imaging in patients with breast cancer: a meta‐analysis
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6068453/
https://www.ncbi.nlm.nih.gov/pubmed/29877048
http://dx.doi.org/10.1111/1759-7714.12774
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