Open AccessCan acoustic radiation force impulse imaging (ARFI) accurately diagnose renal masses?
Author(s) -
Jiangfeng Wu,
Lijing Ge,
Xiao-Bo Ye,
Yanchun Sun,
Yun-Lai Wang,
Zhengping Wang
Publication year - 2020
Publication title -
medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.59
H-Index - 148
eISSN - 1536-5964
pISSN - 0025-7974
DOI - 10.1097/md.0000000000021500
Subject(s) - medicine , diagnostic odds ratio , cochrane library , receiver operating characteristic , radiology , meta analysis , diagnostic accuracy , medical physics , medline , political science , law
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.