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FDG PET or PET/CT in evaluation of renal angiomyolipoma

Angiomyolipoma is the most common benign kidney tumor. However, literature describing FDG PET findings on renal angiomyolipoma (AML) is limited. This study reports the FDG PET and PET/CT findings of 21 cases of renal AML. The study reviews FDG PET and PET/CT images of 21 patients diagnosed with rena...

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Bibliographic Details
Published in:Korean journal of radiology 2013, 14(2), , pp.337-342
Main Authors: Lin, Chun-Yi, Chen, Hui-Yi, Ding, Hueisch-Jy, Yen, Kuo-Yang, Kao, Chia-Hung
Format: Article
Language:English
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Summary:Angiomyolipoma is the most common benign kidney tumor. However, literature describing FDG PET findings on renal angiomyolipoma (AML) is limited. This study reports the FDG PET and PET/CT findings of 21 cases of renal AML. The study reviews FDG PET and PET/CT images of 21 patients diagnosed with renal AML. The diagnosis is based on the classical appearance of an AML on CT scan with active surveillance for 6 months. The study is focused on the observation of clinical and radiographic features. Six men and 15 women were included in our study. The mean age of the patients was 57.14 ± 9.67 years old. The mean diameter of 21 renal AML on CT scans was 1.76 ± 1.00 cm (Min: 0.6 cm; Max: 4.4 cm). CT scans illustrated renal masses typical of AMLs, and the corresponding FDG PET scans showed minimal FDG activities in the area of the tumors. None of the 21 AMLs showed a maximum standardized uptake value (SUV(max)) greater than 1.98. No statistically significant correlation was present between SUV(max) and tumor size. Renal AMLs demonstrate very low to low uptake on FDG PET and PET/CT imaging in this study. When a fat-containing tumor in the kidney is found on a CT scan, it is critical to differentiate an AML from a malignant tumor including an RCC, liposarcoma, and Wilms tumor. This study suggests that FDG PET or PET/CT imaging is useful for differentiating a renal AML from a fat-containing malignant tumor.
ISSN:1229-6929
2005-8330
DOI:10.3348/kjr.2013.14.2.337