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

• Published in: Medicine (Baltimore) Vol. 99; no. 31; p. e21500
• Main Authors: Wu, Jiang-Feng, Ge, Li-Jing, Ye, Xiao-Bo, Sun, Yue, Wang, Yun-Lai, Wang, Zheng-Ping
• Format: Journal Article
• Language: English
• Published: United States the Author(s). Published by Wolters Kluwer Health, Inc 31.07.2020; Wolters Kluwer Health
• Subjects: Diagnosis, Differential; Elasticity Imaging Techniques - statistics & numerical data; Humans; Kidney Neoplasms - diagnostic imaging; Meta-Analysis as Topic; Odds Ratio; Reproducibility of Results; Research Design; ROC Curve; Sensitivity and Specificity; Study Protocol Systematic Review; Systematic Reviews as Topic
• ISSN: 0025-7974; 1536-5964; 1536-5964
• DOI: 10.1097/MD.0000000000021500

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. 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. 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. This study will summarize the most recent evidence that focusing on the diagnosis of ARFI for renal masses. INPLASY202060105.