使用狄克逊技术进行实性肾肿块的脂肪状态检测和组织类型鉴别
Fat status detection and histotypes differentiation in solid renal masses using Dixon technique.
作者信息
Sun Jun, Xing Zhaoyu, Chen Jie, Zha Tingting, Cao Yunjie, Zhang Dachuan, Zeng Dexing, Xing Wei
机构信息
Department of Radiology, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu 213003, China.
Department of Urology, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu 213003, China.
出版信息
Clin Imaging. 2018 Sep-Oct;51:12-22. doi: 10.1016/j.clinimag.2018.01.012. Epub 2018 Feb 3.
PURPOSE
To detect fat status and differentiate histotypes of renal masses by using Dixon technique.
MATERIALS AND METHODS
This study included 134 solid renal masses. Signal intensity index (SII) and fat fraction (FF) in different histotypes were compared.
RESULTS
Only 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.
CONCLUSION
Dixon technique successfully evaluated the fat status and histotypes of renal masses.
目的
采用狄克逊技术检测肾肿块的脂肪状态并鉴别其组织学类型。
材料与方法
本研究纳入134例实性肾肿块。比较不同组织学类型中的信号强度指数（SII）和脂肪分数（FF）。
结果
仅血管平滑肌脂肪瘤（AML）、透明细胞肾细胞癌（RCC）和乳头状RCC被证实含有脂肪。16.8%的脂肪分数可有效鉴别AML与透明细胞RCC，9.2%的信号强度指数也可鉴别透明细胞RCC与非透明细胞RCC及罕见的良性组织学类型。
结论
狄克逊技术成功评估了肾肿块的脂肪状态和组织学类型。
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