Fat status detection and histotypes differentiation in solid renal masses using Dixon technique

Publication date: September–October 2018
Source:Clinical Imaging, Volume 51
Author(s): Jun Sun, Zhaoyu Xing, Jie Chen, Tingting Zha, Yunjie Cao, Dachuan Zhang, Dexing Zeng, Wei Xing
PurposeTo detect fat status and differentiate histotypes of renal masses by using Dixon technique.Materials and methodsThis study included 134 solid renal masses. Signal intensity index (SII) and fat fraction (FF) in different histotypes were compared.ResultsOnly angiomyolipoma (AML), clear cell renal cell carcinoma (RCC), and papillary RCC were confirmed to contain fat. The FF of 16.8% can effectively differentiate AML from clear cell RCC, so did the SII of 9.2% can differentiate clear cell RCC from non-clear cell RCC and rare benign histotypes.ConclusionDixon technique successfully evaluated the fat status and histotypes of renal masses.



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