Literature DB >> 30693607

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

Nicola Schieda1, Matthew S Davenport2, Ivan Pedrosa3, Atul Shinagare4, Hersch Chandarana5, Nicole Curci2, Ankur Doshi5, Gary Israel6, Erick Remer7, Jane Wang8, Stuart G Silverman4.   

Abstract

This article proposes a consensus nomenclature for fat-containing renal and adrenal masses at MRI to reduce variability, improve understanding, and enhance communication when describing imaging findings. The MRI appearance of "macroscopic fat" occurs due to a sufficient number of aggregated adipocytes and results in one or more of: 1) intratumoral signal intensity (SI) loss using fat-suppression techniques, or 2) chemical shift artifact of the second kind causing linear or curvilinear India-ink (etching) artifact within or at the periphery of a mass at macroscopic fat-water interfaces. "Macroscopic fat" is most commonly observed in adrenal myelolipoma and renal angiomyolipoma (AML) and only rarely encountered in other adrenal cortical tumors and renal cell carcinomas (RCC). Nonlinear noncurvilinear signal intensity loss on opposed-phase (OP) compared with in-phase (IP) chemical shift MRI (CSI) may be referred to as "microscopic fat" and is due to: a) an insufficient amount of adipocytes, or b) the presence of fat within tumor cells. Determining whether the signal intensity loss observed on CSI is due to insufficient adipocytes or fat within tumor cells cannot be accomplished using CSI alone; however, it can be inferred when other imaging features strongly suggest a particular diagnosis. Fat-poor AML are homogeneously hypointense on T2 -weighted (T2 W) imaging and avidly enhancing; signal intensity loss at OP CSI is uncommon, but when present is usually focal and is caused by an insufficient number of adipocytes within adjacent voxels. Conversely, clear-cell RCC are heterogeneously hyperintense on T2 W imaging and avidly enhancing, with the signal intensity loss observed on OP CSI being typically diffuse and due to fat within tumor cells. Adrenal adenomas, adrenal cortical carcinoma, and adrenal metastases from fat-containing primary malignancies also show signal intensity loss on OP CSI due to fat within tumor cells and not from intratumoral adipocytes. Level of Evidence: 5 Technical Efficacy Stage: 3 J. Magn. Reson. Imaging 2019;49:917-926.
© 2019 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  MRI; adrenal; carcinoma; fat; lipid; magnetic resonance imaging; renal

Mesh:

Substances:

Year:  2019        PMID: 30693607      PMCID: PMC6980339          DOI: 10.1002/jmri.26542

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  75 in total

1.  Multicoil Dixon chemical species separation with an iterative least-squares estimation method.

Authors:  Scott B Reeder; Zhifei Wen; Huanzhou Yu; Angel R Pineda; Garry E Gold; Michael Markl; Norbert J Pelc
Journal:  Magn Reson Med       Date:  2004-01       Impact factor: 4.668

2.  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

3.  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

Review 4.  Fat-containing Retroperitoneal Lesions: Imaging Characteristics, Localization, and Differential Diagnosis.

Authors:  Akram M Shaaban; Maryam Rezvani; Marc Tubay; Khaled M Elsayes; Paula J Woodward; Christine O Menias
Journal:  Radiographics       Date:  2016 May-Jun       Impact factor: 5.333

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

Authors:  O Hélénon; S Merran; F Paraf; P Melki; J M Correas; Y Chrétien; J F Moreau
Journal:  Radiographics       Date:  1997 Jan-Feb       Impact factor: 5.333

Review 6.  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

7.  HIF2α-Dependent Lipid Storage Promotes Endoplasmic Reticulum Homeostasis in Clear-Cell Renal Cell Carcinoma.

Authors:  Bo Qiu; Daniel Ackerman; Danielle J Sanchez; Bo Li; Joshua D Ochocki; Alison Grazioli; Ekaterina Bobrovnikova-Marjon; J Alan Diehl; Brian Keith; M Celeste Simon
Journal:  Cancer Discov       Date:  2015-03-31       Impact factor: 39.397

8.  Diagnostic Accuracy of Multiparametric Magnetic Resonance Imaging to Identify Clear Cell Renal Cell Carcinoma in cT1a Renal Masses.

Authors:  Noah E Canvasser; Fernando U Kay; Yin Xi; Daniella F Pinho; Daniel Costa; Alberto Diaz de Leon; Gaurav Khatri; John R Leyendecker; Takeshi Yokoo; Aaron Lay; Nicholas Kavoussi; Ersin Koseoglu; Jeffrey A Cadeddu; Ivan Pedrosa
Journal:  J Urol       Date:  2017-04-28       Impact factor: 7.450

9.  Diagnostic Performance and Interreader Agreement of a Standardized MR Imaging Approach in the Prediction of Small Renal Mass Histology.

Authors:  Fernando U Kay; Noah E Canvasser; Yin Xi; Daniella F Pinho; Daniel N Costa; Alberto Diaz de Leon; Gaurav Khatri; John R Leyendecker; Takeshi Yokoo; Aaron H Lay; Nicholas Kavoussi; Ersin Koseoglu; Jeffrey A Cadeddu; Ivan Pedrosa
Journal:  Radiology       Date:  2018-02-01       Impact factor: 11.105

10.  Adrenocortical neoplasms with myelolipomatous and lipomatous metaplasia: report of 3 cases.

Authors:  Kathleen T Montone; Mark Rosen; Evan S Siegelman; Franz Fogt; Virginia A Livolsi
Journal:  Endocr Pract       Date:  2009-03       Impact factor: 3.443

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  5 in total

1.  Fat-only Dixon: how to use it in body MRI.

Authors:  Reza Salari; David H Ballard; Mark J Hoegger; Daniel Young; Anup S Shetty
Journal:  Abdom Radiol (NY)       Date:  2022-05-18

Review 2.  How We Do It: Managing the Indeterminate Renal Mass with the MRI Clear Cell Likelihood Score.

Authors:  Ivan Pedrosa; Jeffrey A Cadeddu
Journal:  Radiology       Date:  2021-12-14       Impact factor: 29.146

3.  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 4.  Update on MRI of Cystic Renal Masses Including Bosniak Version 2019.

Authors:  Satheesh Krishna; Nicola Schieda; Ivan Pedrosa; Nicole Hindman; Ronaldo H Baroni; Stuart G Silverman; Matthew S Davenport
Journal:  J Magn Reson Imaging       Date:  2020-10-02       Impact factor: 4.813

5.  Qualitative Heterogeneous Signal Drop on Chemical Shift (CS) MR Imaging: Correlative Quantitative Analysis between CS Signal Intensity Index and Contrast Washout Parameters Using T1-Weighted Sequences.

Authors:  Arnaldo Stanzione; Francesco Verde; Roberta Galatola; Valeria Romeo; Raffaele Liuzzi; Pier Paolo Mainenti; Giovanni Aprea; Michele Klain; Elia Guadagno; Marialaura Del Basso De Caro; Simone Maurea
Journal:  Tomography       Date:  2021-12-14
  5 in total

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