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Magnetic resonance spectroscopy imaging in diagnosis of suspicious prostate cancer: A meta-analysis
BACKGROUND: This meta-analysis was conducted to assess the value of magnetic resonance spectroscopy imaging (MRSI) in the diagnosis of suspected prostate cancer (PC). METHODS: We identified all the relevant papers from the EMBASE, PubMed, EBSCO, Web of Science, and Cochrane Library databases and scr...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6456084/ https://www.ncbi.nlm.nih.gov/pubmed/30946315 http://dx.doi.org/10.1097/MD.0000000000014891 |
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author | Cai, Weiguo Zhu, Dongyong Byanju, Sama Chen, Jie Zhang, Hanfei Wang, Yanfang Liao, Meiyan |
author_facet | Cai, Weiguo Zhu, Dongyong Byanju, Sama Chen, Jie Zhang, Hanfei Wang, Yanfang Liao, Meiyan |
author_sort | Cai, Weiguo |
collection | PubMed |
description | BACKGROUND: This meta-analysis was conducted to assess the value of magnetic resonance spectroscopy imaging (MRSI) in the diagnosis of suspected prostate cancer (PC). METHODS: We identified all the relevant papers from the EMBASE, PubMed, EBSCO, Web of Science, and Cochrane Library databases and screened the reference lists. The quality assessment of diagnostic accuracy studies-version 2 tool was used to assess the study quality. Publication bias was analyzed using Deeks’ funnel plot asymmetry test. We calculated the pooled sensitivities, specificities, positive likelihood ratios, negative likelihood ratios, diagnostic odds ratio (DOR), and 95% confidence intervals. The results were evaluated by summary receiver-operating characteristic curves (SROCs). Ultimately, a univariable meta-regression and subgroup analysis, Fagan plot, and likelihood matrix were used to analyze this review. RESULTS: A total of 19 articles, which were based on patient-level analysis of PC, were included. These studies had a pooled sensitivity, specificity, DOR, and an area under the SROC of 0.86, 0.78, 22, and 0.89, respectively, by patient-level analysis. From the likelihood matrix, the summary negative likelihood ratio and positive likelihood ratio for MRSI diagnosis of PC were concentrated on the right lower quadrant, which neither confirmed nor excluded the diagnosis of cancer. CONCLUSION: MRSI has a relative application value in the diagnosis of cases of suspected PC. While MRSI is still required for diagnosis along with other clinical data and comprehensive analysis. |
format | Online Article Text |
id | pubmed-6456084 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-64560842019-05-29 Magnetic resonance spectroscopy imaging in diagnosis of suspicious prostate cancer: A meta-analysis Cai, Weiguo Zhu, Dongyong Byanju, Sama Chen, Jie Zhang, Hanfei Wang, Yanfang Liao, Meiyan Medicine (Baltimore) Research Article BACKGROUND: This meta-analysis was conducted to assess the value of magnetic resonance spectroscopy imaging (MRSI) in the diagnosis of suspected prostate cancer (PC). METHODS: We identified all the relevant papers from the EMBASE, PubMed, EBSCO, Web of Science, and Cochrane Library databases and screened the reference lists. The quality assessment of diagnostic accuracy studies-version 2 tool was used to assess the study quality. Publication bias was analyzed using Deeks’ funnel plot asymmetry test. We calculated the pooled sensitivities, specificities, positive likelihood ratios, negative likelihood ratios, diagnostic odds ratio (DOR), and 95% confidence intervals. The results were evaluated by summary receiver-operating characteristic curves (SROCs). Ultimately, a univariable meta-regression and subgroup analysis, Fagan plot, and likelihood matrix were used to analyze this review. RESULTS: A total of 19 articles, which were based on patient-level analysis of PC, were included. These studies had a pooled sensitivity, specificity, DOR, and an area under the SROC of 0.86, 0.78, 22, and 0.89, respectively, by patient-level analysis. From the likelihood matrix, the summary negative likelihood ratio and positive likelihood ratio for MRSI diagnosis of PC were concentrated on the right lower quadrant, which neither confirmed nor excluded the diagnosis of cancer. CONCLUSION: MRSI has a relative application value in the diagnosis of cases of suspected PC. While MRSI is still required for diagnosis along with other clinical data and comprehensive analysis. Wolters Kluwer Health 2019-04-05 /pmc/articles/PMC6456084/ /pubmed/30946315 http://dx.doi.org/10.1097/MD.0000000000014891 Text en Copyright © 2019 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0 |
spellingShingle | Research Article Cai, Weiguo Zhu, Dongyong Byanju, Sama Chen, Jie Zhang, Hanfei Wang, Yanfang Liao, Meiyan Magnetic resonance spectroscopy imaging in diagnosis of suspicious prostate cancer: A meta-analysis |
title | Magnetic resonance spectroscopy imaging in diagnosis of suspicious prostate cancer: A meta-analysis |
title_full | Magnetic resonance spectroscopy imaging in diagnosis of suspicious prostate cancer: A meta-analysis |
title_fullStr | Magnetic resonance spectroscopy imaging in diagnosis of suspicious prostate cancer: A meta-analysis |
title_full_unstemmed | Magnetic resonance spectroscopy imaging in diagnosis of suspicious prostate cancer: A meta-analysis |
title_short | Magnetic resonance spectroscopy imaging in diagnosis of suspicious prostate cancer: A meta-analysis |
title_sort | magnetic resonance spectroscopy imaging in diagnosis of suspicious prostate cancer: a meta-analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6456084/ https://www.ncbi.nlm.nih.gov/pubmed/30946315 http://dx.doi.org/10.1097/MD.0000000000014891 |
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