Literature DB >> 26233268

Differentiation of lipid-poor adrenal adenomas from non-adenomas with magnetic resonance imaging: Utility of dynamic, contrast enhancement and single-shot T2-weighted sequences.

David Becker-Weidman1, Bobby Kalb2, Pardeep K Mittal3, Peter A Harri3, Hina Arif-Tiwari2, Alton B Farris4, Zhengjia Chen5, Kim Sungjin5, Diego R Martin2.   

Abstract

PURPOSE: To evaluate the utility of dynamic, contrast-enhanced magnetic resonance imaging (MRI) in combination with single-shot T2-weighted (ssT2) sequences in the differentiation of lipid-poor adrenal adenomas from non-adenomas.
MATERIALS AND METHODS: This retrospective study was approved by the institutional review board and is HIPAA compliant. Between January 2007 and December 2010, 46 patients with MRI demonstrating a lipid-poor adrenal lesion who underwent either surgical resection or a minimum of 24 months of imaging follow-up were identified retrospectively. All images were retrospectively reviewed in blinded fashion by two radiologists. Each adrenal lesion was categorized by dynamic enhancement features and qualitative signal on ssT2 images and was categorized as an adenoma if it demonstrated homogenous enhancement in the arterial phase, washout with capsule enhancement in the delayed phase, and T2 signal isointense to normal adrenal tissue. Any lesion that did not fulfill all the criteria was classified as a non-adenoma. Sensitivity, specificity, positive predictive value, negative predictive value, and accuracy for characterization of adenoma were calculated for each reader with 95% confidence intervals. A κ test assessed level of agreement between readers.
RESULTS: Application of our criteria lead to an MRI diagnosis of lipid-poor adrenal adenoma with a sensitivity of 84.2-89.5% (16/19-17/19), specificity of 96.3% (26/27), positive predictive value of 94.1-94.4% (16/17-17/18), negative predictive value of 89.7-92.9% (26/29-26/28), and accuracy of 91.3-93.5% (42/46-43/46). Agreement between the two readers showed substantial κ agreement for the differentiation of adenoma from non-adenoma.
CONCLUSIONS: Dynamic, contrast-enhanced T1-weighted three-dimensional gradient echo sequences in combination with ssT2 images can accurately differentiate lipid-poor adrenal adenomas from non-adenomas.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Abdominal imaging; Adenoma gland; Adrenal adenoma; Lipid-poor adrenal adenoma; Magnetic resonance imaging; T2 signal

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Substances:

Year:  2015        PMID: 26233268     DOI: 10.1016/j.ejrad.2015.06.032

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  4 in total

1.  Frequency of lipid-poor adrenal adenomas in magnetic resonance imaging examinations of the abdomen.

Authors:  Victor Guerra Martins; Cecilia Vidal S Torres; Livia Mara Mermejo; Silvio Tucci; Carlos Augusto Fernandes Molina; Jorge Elias; Valdair Francisco Muglia
Journal:  Radiol Bras       Date:  2022 May-Jun

2.  Differentiation between adrenal adenomas and nonadenomas using dynamic contrast-enhanced computed tomography.

Authors:  Xifu Wang; Kangan Li; Haoran Sun; Jinglong Zhao; Linfeng Zheng; Zhuoli Zhang; Renju Bai; Guixiang Zhang
Journal:  Onco Targets Ther       Date:  2016-11-03       Impact factor: 4.147

3.  Lipid-poor adrenal adenoma versus metastasis in lung cancer: Diagnosis by "comparative enhancement" at multiphasic MR imaging.

Authors:  Michele Scialpi; Alfredo D'Andrea; Valeria Rondoni; Emanuele Orlandi; Serena Bernardini; Maria Napoletano; Teresa Pusiol
Journal:  Lung India       Date:  2018 Jul-Aug

4.  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
  4 in total

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