Literature DB >> 26032880

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

Shaheed W Hakim1, Nicola Schieda2, Taryn Hodgdon3, Matthew D F McInnes4, Marc Dilauro5, Trevor A Flood6.   

Abstract

OBJECTIVE: To compare imaging findings with histopathology in AML without visible fat (AMLwvf).
MATERIAL AND METHODS: With IRB approval, we identified 18 AMLwvf that underwent CT between 2002-2014. A radiologist measured NECT-attenuation, corticomedullary (CM) and nephrographic (NG) enhancement, echogenicity relative to renal cortex (RC) (N = 5), T2W (T2AML/T2RC) signal-intensity (SI), and chemical-shift SI ([SIIN-PHASE - SIOPPOSED-PHASE]/SIIN-PHASE) indices (N = 6). A pathologist re-evaluated 15/18 AMLwvf for 1) < or > 25% adipocytes/high-power-field (HPF), 2) "many or few" blood vessels. Comparisons were performed using chi-square and independent t-tests.
RESULTS: 73.3%(11/15) of AMLwvf had <25% adipocytes/HPF and 86.7%(13/15) had "many" blood vessels. NECT-attenuation was 41.8(±6.9) HU. 61.1 %(11/18) of AMLwvf were hyper-attenuating and 38.9%(7/18) iso-attenuating; attenuation was associated with %-adipocytes/HPF, (p = 0.01). CM/NG enhancement were 63.3(±20.8)/51.7(±15.5) HU. 72.2%(13/18) of AMLwvf had wash-out enhancement, with no association with amount of blood vessels at pathology, (p = 0.68). No difference in echogenicity was noted by histology (p > 0.05). All AMLwvf were T2-hypointense (SI ratio = 0.61 [±0.1]). 2/6 AMLwvf showed SI drop on chemical-shift MRI; both were iso-attenuating and were associated with >25% adipocytes/HPF (p = 0.04).
CONCLUSIONS: AMLwvf are typically T2-hypointense and hyper-attenuating with wash-out enhancement due to abundant smooth muscle and vessels respectively. Iso-attenuating AMLwvf with microscopic fat on MRI contain more adipocytes/HPF. KEY POINTS: • Five percent of AML do not demonstrate detectable fat on imaging • These AML are hyperattenuating and T2-hypointense due to abundant smooth muscle • These AML show washout enhancement without association to vessel count at histopathology • Iso-attenuating AML with microscopic fat on MRI show >25% adipocytes/HPF • The term "AML without visible fat" is proposed to reduce ambiguity.

Entities:  

Keywords:  Angiomyolipoma; Computed tomography; Fat; Magnetic resonance imaging; Ultrasound

Mesh:

Year:  2015        PMID: 26032880     DOI: 10.1007/s00330-015-3851-8

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


  38 in total

1.  Can Quantitative CT Texture Analysis be Used to Differentiate Fat-poor Renal Angiomyolipoma from Renal Cell Carcinoma on Unenhanced CT Images?

Authors:  Taryn Hodgdon; Matthew D F McInnes; Nicola Schieda; Trevor A Flood; Leslie Lamb; Rebecca E Thornhill
Journal:  Radiology       Date:  2015-04-23       Impact factor: 11.105

2.  Discordance about the use of the term minimal fat angiomyolipoma.

Authors:  Teresa Pusiol; Irene Piscioli; Alice Morini; Ivan Pedrosa; Neil M Rofsky
Journal:  Radiology       Date:  2013-05       Impact factor: 11.105

3.  Are small renal tumors harmless? Analysis of histopathological features according to tumors 4 cm or less in diameter.

Authors:  Mesut Remzi; Mehmet Ozsoy; Hans-Christoph Klingler; Martin Susani; Matthias Waldert; Christian Seitz; Joerg Schmidbauer; Michael Marberger
Journal:  J Urol       Date:  2006-09       Impact factor: 7.450

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

5.  Renal angiomyolipoma with minimal fat: differentiation from other neoplasms at double-echo chemical shift FLASH MR imaging.

Authors:  Jeong Kon Kim; Soo Hyun Kim; Yoon Jin Jang; Hanjong Ahn; Choung-Soo Kim; Hyungkeun Park; Jun Woo Lee; Suk Kim; Kyoung-Sik Cho
Journal:  Radiology       Date:  2006-02-28       Impact factor: 11.105

6.  Angiomyolipoma with minimal fat: can it be differentiated from clear cell renal cell carcinoma by using standard MR techniques?

Authors:  Nicole Hindman; Long Ngo; Elizabeth M Genega; Jonathan Melamed; Jesse Wei; Julia M Braza; Neil M Rofsky; Ivan Pedrosa
Journal:  Radiology       Date:  2012-09-25       Impact factor: 11.105

Review 7.  Ten uncommon and unusual variants of renal angiomyolipoma (AML): radiologic-pathologic correlation.

Authors:  N Schieda; A Z Kielar; O Al Dandan; M D F McInnes; T A Flood
Journal:  Clin Radiol       Date:  2014-11-15       Impact factor: 2.350

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.  Intracellular lipid in papillary renal cell carcinoma (pRCC): T2 weighted (T2W) MRI and pathologic correlation.

Authors:  Nicola Schieda; Christian B van der Pol; Bardia Moosavi; Matthew D F McInnes; Kien T Mai; Trevor A Flood
Journal:  Eur Radiol       Date:  2015-02-14       Impact factor: 5.315

10.  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

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  13 in total

Review 1.  Renal angiomyolipoma without visible fat: Can we make the diagnosis using CT and MRI?

Authors:  Robert S Lim; Trevor A Flood; Matthew D F McInnes; Luke T Lavallee; Nicola Schieda
Journal:  Eur Radiol       Date:  2017-08-04       Impact factor: 5.315

2.  MRI evaluation of small (<4cm) solid renal masses: multivariate modeling improves diagnostic accuracy for angiomyolipoma without visible fat compared to univariate analysis.

Authors:  Nicola Schieda; Marc Dilauro; Bardia Moosavi; Taryn Hodgdon; Gregory O Cron; Matthew D F McInnes; Trevor A Flood
Journal:  Eur Radiol       Date:  2015-10-20       Impact factor: 5.315

3.  Differentiating solid, non-macroscopic fat containing, enhancing renal masses using fast Fourier transform analysis of multiphase CT.

Authors:  Bino A Varghese; Frank Chen; Darryl H Hwang; Steven Y Cen; Inderbir S Gill; Vinay A Duddalwar
Journal:  Br J Radiol       Date:  2018-06-21       Impact factor: 3.039

Review 4.  Imaging features of solid renal masses.

Authors:  Massimo Galia; Domenico Albano; Alberto Bruno; Antonino Agrusa; Giorgio Romano; Giuseppe Di Buono; Francesco Agnello; Giuseppe Salvaggio; Ludovico La Grutta; Massimo Midiri; Roberto Lagalla
Journal:  Br J Radiol       Date:  2017-07-13       Impact factor: 3.039

5.  Machine learning-based quantitative texture analysis of CT images of small renal masses: Differentiation of angiomyolipoma without visible fat from renal cell carcinoma.

Authors:  Zhichao Feng; Pengfei Rong; Peng Cao; Qingyu Zhou; Wenwei Zhu; Zhimin Yan; Qianyun Liu; Wei Wang
Journal:  Eur Radiol       Date:  2017-11-13       Impact factor: 5.315

6.  Society of Abdominal Radiology disease-focused panel on renal cell carcinoma: update on past, current, and future goals.

Authors:  Matthew S Davenport; Hersh Chandarana; Nicole E Curci; Ankur Doshi; Samuel D Kaffenberger; Ivan Pedrosa; Erick M Remer; Nicola Schieda; Atul B Shinagare; Andrew D Smith; Zhen J Wang; Shane A Wells; Stuart G Silverman
Journal:  Abdom Radiol (NY)       Date:  2018-09

Review 7.  CT and MRI of small renal masses.

Authors:  Zhen J Wang; Antonio C Westphalen; Ronald J Zagoria
Journal:  Br J Radiol       Date:  2018-05-10       Impact factor: 3.039

8.  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

9.  Are growth patterns on MRI in small (< 4 cm) solid renal masses useful for predicting benign histology?

Authors:  Robert S Lim; Matthew D F McInnes; Mahadevaswamy Siddaiah; Trevor A Flood; Luke T Lavallee; Nicola Schieda
Journal:  Eur Radiol       Date:  2018-02-28       Impact factor: 5.315

10.  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

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