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Can acoustic radiation force impulse imaging (ARFI) accurately diagnose renal masses?: A protocol of systematic review and meta-analysis

BACKGROUND: Renal masses are increasingly being discovered because of the wide accessibility of modern high resolution imaging procedures. Previous clinical studies have reported that acoustic radiation force impulse imaging (ARFI) is used for diagnosis of renal masses. However, no study has investi...

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Autores principales: Wu, Jiang-Feng, Ge, Li-Jing, Ye, Xiao-Bo, Sun, Yue, Wang, Yun-Lai, Wang, Zheng-Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7402870/
https://www.ncbi.nlm.nih.gov/pubmed/32756185
http://dx.doi.org/10.1097/MD.0000000000021500
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author Wu, Jiang-Feng
Ge, Li-Jing
Ye, Xiao-Bo
Sun, Yue
Wang, Yun-Lai
Wang, Zheng-Ping
author_facet Wu, Jiang-Feng
Ge, Li-Jing
Ye, Xiao-Bo
Sun, Yue
Wang, Yun-Lai
Wang, Zheng-Ping
author_sort Wu, Jiang-Feng
collection PubMed
description BACKGROUND: Renal masses are increasingly being discovered because of the wide accessibility of modern high resolution imaging procedures. Previous clinical studies have reported that acoustic radiation force impulse imaging (ARFI) is used for diagnosis of renal masses. However, no study has investigated this topic systematically. Therefore, this study will evaluate the diagnostic value of ARFI for the diagnosis of renal masses. METHODS: A systematic search using the databases of Cochrane Library, EMBASE, Pubmed, WANGFANG, and China National Knowledge Infrastructure will be performed to identify studies in which patients with renal masses are assessed by ARFI. Two investigators will independently screen the literature and extract the data. Any discrepancies will be resolved via discussion with the senior author. Study quality will be assessed by the Quality Assessment of Diagnostic Accuracy Studies 2 tool, and pooled sensitivity and specificity of various ARFI findings for the diagnosis of renal masses will be determined. Summary receiver operating characteristic curve will be used to assess the overall performance of ARFI. RESULTS: This study will evaluate the diagnostic value of ARFI for the diagnosis of renal masses through sensitivity, specificity, positive and negative likelihood ratio, and diagnostic odds ratio. CONCLUSION: This study will summarize the most recent evidence that focusing on the diagnosis of ARFI for renal masses. STUDY REGISTRATION: INPLASY202060105.
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spelling pubmed-74028702020-08-14 Can acoustic radiation force impulse imaging (ARFI) accurately diagnose renal masses?: A protocol of systematic review and meta-analysis Wu, Jiang-Feng Ge, Li-Jing Ye, Xiao-Bo Sun, Yue Wang, Yun-Lai Wang, Zheng-Ping Medicine (Baltimore) 6800 BACKGROUND: Renal masses are increasingly being discovered because of the wide accessibility of modern high resolution imaging procedures. Previous clinical studies have reported that acoustic radiation force impulse imaging (ARFI) is used for diagnosis of renal masses. However, no study has investigated this topic systematically. Therefore, this study will evaluate the diagnostic value of ARFI for the diagnosis of renal masses. METHODS: A systematic search using the databases of Cochrane Library, EMBASE, Pubmed, WANGFANG, and China National Knowledge Infrastructure will be performed to identify studies in which patients with renal masses are assessed by ARFI. Two investigators will independently screen the literature and extract the data. Any discrepancies will be resolved via discussion with the senior author. Study quality will be assessed by the Quality Assessment of Diagnostic Accuracy Studies 2 tool, and pooled sensitivity and specificity of various ARFI findings for the diagnosis of renal masses will be determined. Summary receiver operating characteristic curve will be used to assess the overall performance of ARFI. RESULTS: This study will evaluate the diagnostic value of ARFI for the diagnosis of renal masses through sensitivity, specificity, positive and negative likelihood ratio, and diagnostic odds ratio. CONCLUSION: This study will summarize the most recent evidence that focusing on the diagnosis of ARFI for renal masses. STUDY REGISTRATION: INPLASY202060105. Wolters Kluwer Health 2020-07-31 /pmc/articles/PMC7402870/ /pubmed/32756185 http://dx.doi.org/10.1097/MD.0000000000021500 Text en Copyright © 2020 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by/4.0 This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0
spellingShingle 6800
Wu, Jiang-Feng
Ge, Li-Jing
Ye, Xiao-Bo
Sun, Yue
Wang, Yun-Lai
Wang, Zheng-Ping
Can acoustic radiation force impulse imaging (ARFI) accurately diagnose renal masses?: A protocol of systematic review and meta-analysis
title Can acoustic radiation force impulse imaging (ARFI) accurately diagnose renal masses?: A protocol of systematic review and meta-analysis
title_full Can acoustic radiation force impulse imaging (ARFI) accurately diagnose renal masses?: A protocol of systematic review and meta-analysis
title_fullStr Can acoustic radiation force impulse imaging (ARFI) accurately diagnose renal masses?: A protocol of systematic review and meta-analysis
title_full_unstemmed Can acoustic radiation force impulse imaging (ARFI) accurately diagnose renal masses?: A protocol of systematic review and meta-analysis
title_short Can acoustic radiation force impulse imaging (ARFI) accurately diagnose renal masses?: A protocol of systematic review and meta-analysis
title_sort can acoustic radiation force impulse imaging (arfi) accurately diagnose renal masses?: a protocol of systematic review and meta-analysis
topic 6800
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7402870/
https://www.ncbi.nlm.nih.gov/pubmed/32756185
http://dx.doi.org/10.1097/MD.0000000000021500
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