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Diagnostic Performance of Contrast-Enhanced Ultrasound in Renal Cancer: A Meta-Analysis
BACKGROUND: Contrast-enhanced ultrasound (CEUS) is an examination mode for detecting blood vessels in tissues, and it has been gradually used in the diagnosis of kidney cancer in recent years. This study explores the value of contrast-enhanced ultrasound in the clinical diagnosis of renal cancer, an...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7703431/ https://www.ncbi.nlm.nih.gov/pubmed/33312952 http://dx.doi.org/10.3389/fonc.2020.586949 |
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author | Pan, Ke-Hao Jian, Li Chen, Wei-Jun Nikzad, Abdul Aziz Kong, Fang Q. Bin, Xu Wang, Ya-Li Chen, Ming |
author_facet | Pan, Ke-Hao Jian, Li Chen, Wei-Jun Nikzad, Abdul Aziz Kong, Fang Q. Bin, Xu Wang, Ya-Li Chen, Ming |
author_sort | Pan, Ke-Hao |
collection | PubMed |
description | BACKGROUND: Contrast-enhanced ultrasound (CEUS) is an examination mode for detecting blood vessels in tissues, and it has been gradually used in the diagnosis of kidney cancer in recent years. This study explores the value of contrast-enhanced ultrasound in the clinical diagnosis of renal cancer, and provides an accurate and effective method for clinical diagnosis of renal cancer. METHODS: CEUS and RCC were selected as the keywords. Searching the PubMed and Embase from 2007 to 2020, the original data were abstracted and performed heterogeneity test with the Meta-Disc software. The weighted sensitivity, specificity, positive likelihood ratio and negative likelihood ratio were calculated, as well as the summary receiver operating characteristic (SROC) curve. Further estimated the diagnostic value of CEUS in the research of renal cancer by calculating the area under the curve (AUC). The quality of evidence in researches was evaluated by QUADAS items. Meta-disc, Review Manager 5.3, and STATA 13 were used. RESULTS: A total of 20 studies were adopted for Meta-analysis. The weighted sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio were 0.97, 0.86, 6.8, 0.04 and 171, respectively; and AUC was 0.97. The results showed that there was high heterogeneity. CONCLUSION: CEUS technology has a good diagnostic value for RCC. |
format | Online Article Text |
id | pubmed-7703431 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-77034312020-12-10 Diagnostic Performance of Contrast-Enhanced Ultrasound in Renal Cancer: A Meta-Analysis Pan, Ke-Hao Jian, Li Chen, Wei-Jun Nikzad, Abdul Aziz Kong, Fang Q. Bin, Xu Wang, Ya-Li Chen, Ming Front Oncol Oncology BACKGROUND: Contrast-enhanced ultrasound (CEUS) is an examination mode for detecting blood vessels in tissues, and it has been gradually used in the diagnosis of kidney cancer in recent years. This study explores the value of contrast-enhanced ultrasound in the clinical diagnosis of renal cancer, and provides an accurate and effective method for clinical diagnosis of renal cancer. METHODS: CEUS and RCC were selected as the keywords. Searching the PubMed and Embase from 2007 to 2020, the original data were abstracted and performed heterogeneity test with the Meta-Disc software. The weighted sensitivity, specificity, positive likelihood ratio and negative likelihood ratio were calculated, as well as the summary receiver operating characteristic (SROC) curve. Further estimated the diagnostic value of CEUS in the research of renal cancer by calculating the area under the curve (AUC). The quality of evidence in researches was evaluated by QUADAS items. Meta-disc, Review Manager 5.3, and STATA 13 were used. RESULTS: A total of 20 studies were adopted for Meta-analysis. The weighted sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio were 0.97, 0.86, 6.8, 0.04 and 171, respectively; and AUC was 0.97. The results showed that there was high heterogeneity. CONCLUSION: CEUS technology has a good diagnostic value for RCC. Frontiers Media S.A. 2020-11-18 /pmc/articles/PMC7703431/ /pubmed/33312952 http://dx.doi.org/10.3389/fonc.2020.586949 Text en Copyright © 2020 Pan, Jian, Chen, Nikzad, Kong, Bin, Wang and Chen http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Pan, Ke-Hao Jian, Li Chen, Wei-Jun Nikzad, Abdul Aziz Kong, Fang Q. Bin, Xu Wang, Ya-Li Chen, Ming Diagnostic Performance of Contrast-Enhanced Ultrasound in Renal Cancer: A Meta-Analysis |
title | Diagnostic Performance of Contrast-Enhanced Ultrasound in Renal Cancer: A Meta-Analysis |
title_full | Diagnostic Performance of Contrast-Enhanced Ultrasound in Renal Cancer: A Meta-Analysis |
title_fullStr | Diagnostic Performance of Contrast-Enhanced Ultrasound in Renal Cancer: A Meta-Analysis |
title_full_unstemmed | Diagnostic Performance of Contrast-Enhanced Ultrasound in Renal Cancer: A Meta-Analysis |
title_short | Diagnostic Performance of Contrast-Enhanced Ultrasound in Renal Cancer: A Meta-Analysis |
title_sort | diagnostic performance of contrast-enhanced ultrasound in renal cancer: a meta-analysis |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7703431/ https://www.ncbi.nlm.nih.gov/pubmed/33312952 http://dx.doi.org/10.3389/fonc.2020.586949 |
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