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Published in: European Radiology 5/2018

01-05-2018 | Magnetic Resonance

Chemical shift magnetic resonance imaging for distinguishing minimal-fat renal angiomyolipoma from renal cell carcinoma: a meta-analysis

Authors: Ling-Shan Chen, Zheng-Qiu Zhu, Zhi-Tao Wang, Jing Li, Li-Feng Liang, Ji-Yang Jin, Zhong-Qiu Wang

Published in: European Radiology | Issue 5/2018

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Abstract

Objectives

To determine the performance of chemical shift signal intensity index (CS-SII) values for distinguishing minimal-fat renal angiomyolipoma (mfAML) from renal cell carcinoma (RCC) and to assess RCC subtype characterisation.

Methods

We identified eligible studies on CS magnetic resonance imaging (CS-MRI) of focal renal lesions via PubMed, Embase, and the Cochrane Library. CS-SII values were extracted by lesion type and evaluated using linear mixed model-based meta-regression. RCC subtypes were analysed. Two-sided p value <0.05 indicated statistical significance. Methodological quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies 2 tool.

Results

Eleven articles involving 850 patients were included. Minimal-fat AML had significantly higher CS-SII value than RCC (p < 0.05); there were no significant differences between mfAML and clear cell RCC (cc-RCC) (p = 0.112). Clear cell RCC had a significantly higher CS-SII value than papillary RCC (p-RCC) (p < 0.001) and chromophobe RCC (ch-RCC) (p = 0.045). The methodological quality was relatively high, and Begg’s test data points indicated no obvious publication bias.

Conclusions

The CS-SII value for differentiating mfAML from cc-RCC remains unproven, but is a promising method for differentiating cc-RCC from p-RCC and ch-RCC.

Key Points

RCC CS-SII values are significantly lower than those of mfAML overall.
CS-SII values cannot aid differentiation between mfAML and cc-RCC.
CS-SII values might help characterise RCC subtypes.
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Metadata
Title
Chemical shift magnetic resonance imaging for distinguishing minimal-fat renal angiomyolipoma from renal cell carcinoma: a meta-analysis
Authors
Ling-Shan Chen
Zheng-Qiu Zhu
Zhi-Tao Wang
Jing Li
Li-Feng Liang
Ji-Yang Jin
Zhong-Qiu Wang
Publication date
01-05-2018
Publisher
Springer Berlin Heidelberg
Published in
European Radiology / Issue 5/2018
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-017-5141-0

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