Literature DB >> 27897036

Computed Tomography and Magnetic Resonance Findings of Fat-Poor Angiomyolipomas.

Aaron M Potretzke1, Theodora A Potretzke2, Tyler M Bauman1, B Alexander Knight1, Alyssa M Park1, Jonathan M Mobley1, Robert Sherburne Figenshau1, Cary Lynn Siegel3.   

Abstract

INTRODUCTION: Approximately 5% of angiomyolipomas (AMLs) are classified as "fat poor" due to lack of visually detectable fat on imaging, making them difficult to distinguish from renal cell carcinoma. Recent investigations have proposed CT and MR imaging features suggestive of fat-poor AML (fp-AML). Herein, we determined the frequency of these features in a cohort of fp-AMLs by retrospective review of preoperative imaging.
METHODS: A pathology database query from January 2005 to August 2013 identified 49 renal specimens of AML with available imaging. A retrospective review of all CT and MR images of these 49 cases was conducted. Cases with visually detectable fat on imaging were excluded.
RESULTS: A total of 26 fp-AMLs were identified. Thirteen lesions had available unenhanced CT images, of which eight (62%) were hyperdense compared to the adjacent renal parenchyma, while five (38%) were isodense. Twenty lesions had enhanced CT images: 14 (70%) and 6 (30%) with homogeneous and heterogeneous enhancement, respectively. Of the nine lesions with enhanced MR sequences, five (56%) were homogeneously enhancing, and four (44%) were heterogeneously enhancing. Eight of nine (89%) lesions had hypointense signal intensity (SI) on T2-weighted MR sequences, while one (11%) had hyperintense SI. None of the eight lesions displayed a decrease in signal on fat-suppressed sequences.
CONCLUSIONS: In this study, we confirmed common imaging features of fp-AML: high attenuation on unenhanced CT sequences, homogeneous enhancement on CT, and hypointensity on T2-weighted MR. When these features are present, a renal mass biopsy may be prudent.

Entities:  

Keywords:  angiomyolipoma; computed tomography; diagnosis; magnetic resonance; small renal mass

Mesh:

Year:  2017        PMID: 27897036     DOI: 10.1089/end.2016.0219

Source DB:  PubMed          Journal:  J Endourol        ISSN: 0892-7790            Impact factor:   2.942


  3 in total

1.  Role of computed tomography features in the differential diagnosis of chromophobe renal cell carcinoma from oncocytoma and angiomyolipoma without visible fat.

Authors:  Cuiping Zhou; Xiaohua Ban; Jianxun Lv; Lin Cheng; Jianmin Xu; Xinping Shen
Journal:  Quant Imaging Med Surg       Date:  2022-04

Review 2.  The Risks of Renal Angiomyolipoma: Reviewing the Evidence.

Authors:  Raouf M Seyam; Waleed K Alkhudair; Said A Kattan; Mohamed F Alotaibi; Hassan M Alzahrani; Waleed M Altaweel
Journal:  J Kidney Cancer VHL       Date:  2017-10-16

3.  Renal Angiomyolipoma: The Good, the Bad, and the Ugly.

Authors:  Nicolas Vos; Raymond Oyen
Journal:  J Belg Soc Radiol       Date:  2018-04-20       Impact factor: 1.894

  3 in total

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