Literature DB >> 28779401

Renal angiomyolipoma without visible fat: Can we make the diagnosis using CT and MRI?

Robert S Lim1, Trevor A Flood2, Matthew D F McInnes1, Luke T Lavallee3, Nicola Schieda4.   

Abstract

Renal angiomyolipomas without visible fat (AML.wovf) are benign masses that are incidentally discovered mainly in women. AML.wovf are typically homogeneously hyperdense on unenhanced CT without calcification or haemorrhage. Unenhanced CT pixel analysis is not useful for diagnosis. AML.wovf are characteristically homogeneously hypointense on T2-weighted (T2W)-MRI and apparent diffusion coefficient (ADC) maps. Despite early reports, only a minority of AML.wovf show signal intensity drop on chemical-shift MRI due to microscopic fat. AML.wovf most commonly show avid early enhancement with washout kinetics at contrast-enhanced CT and MRI. The combination of homogeneously low T2W and/or ADC signal intensity with avid early enhancement and washout is highly accurate for diagnosis of AML.wovf. KEY POINTS: • AML.wovf are small incidental benign renal masses occurring mainly in women. • AML.wovf are homogeneously hyperdense with low signal on T2W-MRI and ADC map. • AML.wovf typically show avid early enhancement with washout kinetics. • Combining features on CT/MRI is accurate for diagnosis of AML.wovf.

Entities:  

Keywords:  Angiomyolipoma; Angiomyolipoma without visible fat; Computed tomography; Magnetic resonance imaging; Renal cell carcinoma

Mesh:

Year:  2017        PMID: 28779401     DOI: 10.1007/s00330-017-4988-4

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  83 in total

1.  Papillary renal cell carcinoma containing fat without calcification mimicking angiomyolipoma on CT.

Authors:  Timothy G Schuster; Mark R Ferguson; David E Baker; John D Schaldenbrand; M Hugh Solomon
Journal:  AJR Am J Roentgenol       Date:  2004-11       Impact factor: 3.959

2.  Unusual fat-containing tumors of the kidney: a diagnostic dilemma.

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Journal:  Radiographics       Date:  1997 Jan-Feb       Impact factor: 5.333

3.  Angiomyolipoma (AML) without visible fat: Ultrasound, CT and MR imaging features with pathological correlation.

Authors:  Shaheed W Hakim; Nicola Schieda; Taryn Hodgdon; Matthew D F McInnes; Marc Dilauro; Trevor A Flood
Journal:  Eur Radiol       Date:  2015-06-03       Impact factor: 5.315

4.  Fat poor renal angiomyolipoma: patient, computerized tomography and histological findings.

Authors:  John Milner; Brian McNeil; Joe Alioto; Kevin Proud; Tara Rubinas; Maria Picken; Terrence Demos; Thomas Turk; Kent T Perry
Journal:  J Urol       Date:  2006-09       Impact factor: 7.450

Review 5.  Role of percutaneous needle biopsy for renal masses.

Authors:  Elaine M Caoili; Matthew S Davenport
Journal:  Semin Intervent Radiol       Date:  2014-03       Impact factor: 1.513

6.  Angiomyolipoma with minimal fat and non-clear cell renal cell carcinoma: differentiation on MDCT using classification and regression tree analysis-based algorithm.

Authors:  Sungmin Woo; Jeong Yeon Cho; Seung Hyup Kim; Sang Youn Kim
Journal:  Acta Radiol       Date:  2013-11-20       Impact factor: 1.990

7.  Characterization of Small Focal Renal Lesions: Diagnostic Accuracy with Single-Phase Contrast-enhanced Dual-Energy CT with Material Attenuation Analysis Compared with Conventional Attenuation Measurements.

Authors:  Daniele Marin; Drew Davis; Kingshuk Roy Choudhury; Bhavik Patel; Rajan T Gupta; Achille Mileto; Rendon C Nelson
Journal:  Radiology       Date:  2017-03-28       Impact factor: 11.105

8.  Unenhanced CT for the diagnosis of minimal-fat renal angiomyolipoma.

Authors:  Nicola Schieda; Taryn Hodgdon; Mohammed El-Khodary; Trevor A Flood; Matthew D F McInnes
Journal:  AJR Am J Roentgenol       Date:  2014-12       Impact factor: 3.959

9.  CT histogram analysis: differentiation of angiomyolipoma without visible fat from renal cell carcinoma at CT imaging.

Authors:  Ji Yeon Kim; Jeong Kon Kim; Namkug Kim; Kyoung-Sik Cho
Journal:  Radiology       Date:  2007-12-19       Impact factor: 11.105

10.  Usefulness of the ice-cream cone pattern in computed tomography for prediction of angiomyolipoma in patients with a small renal mass.

Authors:  Kwang Ho Kim; Bu Hyeon Yun; Seung Il Jung; In Sang Hwang; Eu Chang Hwang; Taek Won Kang; Dong Deuk Kwon; Kwangsung Park; Jin Woong Kim
Journal:  Korean J Urol       Date:  2013-08-07
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  16 in total

Review 1.  Chemical shift magnetic resonance imaging for distinguishing minimal-fat renal angiomyolipoma from renal cell carcinoma: a meta-analysis.

Authors:  Ling-Shan Chen; Zheng-Qiu Zhu; Zhi-Tao Wang; Jing Li; Li-Feng Liang; Ji-Yang Jin; Zhong-Qiu Wang
Journal:  Eur Radiol       Date:  2017-11-24       Impact factor: 5.315

2.  A CT-based radiomics nomogram for differentiation of renal angiomyolipoma without visible fat from homogeneous clear cell renal cell carcinoma.

Authors:  Pei Nie; Guangjie Yang; Zhenguang Wang; Lei Yan; Wenjie Miao; Dapeng Hao; Jie Wu; Yujun Zhao; Aidi Gong; Jingjing Cui; Yan Jia; Haitao Niu
Journal:  Eur Radiol       Date:  2019-09-10       Impact factor: 5.315

Review 3.  The different faces of renal angiomyolipomas on radiologic imaging: a pictorial review.

Authors:  Shanigarn Thiravit; Wanwarang Teerasamit; Phakphoom Thiravit
Journal:  Br J Radiol       Date:  2018-02-06       Impact factor: 3.039

4.  Renal and adrenal masses containing fat at MRI: Proposed nomenclature by the society of abdominal radiology disease-focused panel on renal cell carcinoma.

Authors:  Nicola Schieda; Matthew S Davenport; Ivan Pedrosa; Atul Shinagare; Hersch Chandarana; Nicole Curci; Ankur Doshi; Gary Israel; Erick Remer; Jane Wang; Stuart G Silverman
Journal:  J Magn Reson Imaging       Date:  2019-01-28       Impact factor: 4.813

5.  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

6.  The value of CT features and demographic data in the differential diagnosis of type 2 papillary renal cell carcinoma from fat-poor angiomyolipoma and oncocytoma.

Authors:  Cuiping Zhou; Xiaohua Ban; Lin Luo; Changzheng Shi
Journal:  Abdom Radiol (NY)       Date:  2022-09-09

Review 7.  [CEUS-diagnosis of solid renal tumors].

Authors:  K Stock; H Kübler; T Maurer; J Slotta-Huspenina; K Holzapfel
Journal:  Radiologe       Date:  2018-06       Impact factor: 0.635

8.  Lexicon for renal mass terms at CT and MRI: a consensus of the society of abdominal radiology disease-focused panel on renal cell carcinoma.

Authors:  Atul B Shinagare; Matthew S Davenport; Hyesun Park; Ivan Pedrosa; Erick M Remer; Hersh Chandarana; Ankur M Doshi; Nicola Schieda; Andrew D Smith; Raghunandan Vikram; Zhen J Wang; Stuart G Silverman
Journal:  Abdom Radiol (NY)       Date:  2020-08-18

Review 9.  Imaging considerations for thermal and radiotherapy ablation of primary and metastatic renal cell carcinoma.

Authors:  Mohammad Haroon; Paul Sathiadoss; Rebecca M Hibbert; Satheesh Krishna Jeyaraj; Christopher Lim; Nicola Schieda
Journal:  Abdom Radiol (NY)       Date:  2021-07-10

10.  A Non-Invasive Scoring System to Differential Diagnosis of Clear Cell Renal Cell Carcinoma (ccRCC) From Renal Angiomyolipoma Without Visible Fat (RAML-wvf) Based on CT Features.

Authors:  Xiao-Jie Wang; Bai-Qiang Qu; Jia-Ping Zhou; Qiao-Mei Zhou; Yuan-Fei Lu; Yao Pan; Jian-Xia Xu; You-You Miu; Hong-Qing Wang; Ri-Sheng Yu
Journal:  Front Oncol       Date:  2021-04-23       Impact factor: 6.244

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