Unenhanced CT and MRI Parameters That Can Be Used to Reliably Predict Fat-Invisible Angiomyolipoma

AJR. American Journal of Roentgenology
Chae Jin JeongChan Kyo Kim

Abstract

The objective of our study was to determine unenhanced CT and MRI parameters that can be used to reliably predict fat-invisible angiomyolipoma (AML). A total of 152 patients with 155 histologically proven renal cell carcinomas (RCCs) and 16 patients with 18 histologically proven AMLs were included. No AML measured less than -20 HU on CT images. The tumor-to-cortex ratio was measured on unenhanced CT, T2-weighted MRI, and T1-weighted MRI to compare fat-invisible AML and RCC. On chemical-shift MRI, the signal intensity (SI) index and tumor-to-spleen ratio were calculated to compare these lesions. The unpaired t test and ROC with AUC were used for statistical analysis. The reference standard was pathologic examination. The mean tumor-to-cortex ratios on unenhanced CT of AML and RCC were 1.37 ± 0.66 (SD) and 0.83 ± 0.47, respectively (p < 0.001). However, the tumor-to-cortex ratio on unenhanced CT of AML was not different from that of chromophobe RCC (p = 0.093). The mean tumor-to-cortex ratios on T2-weighted MRI of AML and RCC were 0.75 ± 0.15 and 1.21 ± 0.41, respectively (p < 0.001). However, the tumor-to-cortex ratio on T2-weighted MRI of AML was not different from that of papillary RCC (p = 0.161). The tumor-to-spleen ratio on...Continue Reading

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Citations

Sep 27, 2016·European Journal of Radiology·Sohee SongJung Jae Park
Nov 30, 2016·Journal of Endourology·Aaron M PotretzkeCary Lynn Siegel
Jul 21, 2017·AJR. American Journal of Roentgenology·Byung Kwan Park
Aug 6, 2017·European Radiology·Robert S LimNicola Schieda
Jan 9, 2019·AJR. American Journal of Roentgenology·Byung Kwan Park
Feb 12, 2019·Kidney Cancer·Tim J van OostenbruggePeter F A Mulders
Nov 6, 2020·Abdominal Radiology·Mitchell P WilsonGavin Low
Jun 1, 2021·Radiologic Clinics of North America·John J HinesRiya Goyal

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