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

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 ima...

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Veröffentlicht in:	European radiology 2018-05, Vol.28 (5), p.1854-1861
Hauptverfasser:	Chen, Ling-Shan, Zhu, Zheng-Qiu, Wang, Zhi-Tao, Li, Jing, Liang, Li-Feng, Jin, Ji-Yang, Wang, Zhong-Qiu
Format:	Artikel
Sprache:	eng
Schlagworte:	Adipose Tissue - pathology Angiomyolipoma Angiomyolipoma - diagnosis Carcinoma, Renal Cell - diagnosis Clear cell-type renal cell carcinoma Data points Diagnosis, Differential Diagnostic Radiology Diagnostic software Diagnostic systems Humans Identification methods Imaging Internal Medicine Interventional Radiology Kidney - pathology Kidney cancer Kidney Neoplasms - diagnosis Lesions Magnetic Resonance Magnetic resonance imaging Magnetic Resonance Imaging - methods Medicine Medicine & Public Health Meta-analysis Neuroradiology NMR Nuclear magnetic resonance Quality assessment Quality control Radiology Regression analysis Regression models Resonance Statistical analysis Ultrasound
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Zusammenfassung:	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
ISSN:	0938-7994 1432-1084
DOI:	10.1007/s00330-017-5141-0