Literature DB >> 33778748

Utility of T2-weighted MRI to Differentiate Adrenal Metastases from Lipid-Poor Adrenal Adenomas.

Wendy Tu1, Jorge Abreu-Gomez1, Amar Udare1, Abdulmohsen Alrashed1, Nicola Schieda1.   

Abstract

Purpose: To evaluate T2-weighted MRI features to differentiate adrenal metastases from lipid-poor adenomas. Materials and
Methods: With institutional review board approval, this study retrospectively compared 40 consecutive patients (mean age, 66 years ± 10 [standard deviation]) with metastases to 23 patients (mean age, 60 years ± 15) with lipid-poor adenomas at 1.5- and 3-T MRI between June 2016 and March 2019. A blinded radiologist measured T2-weighted signal intensity (SI) ratio (SInodule/SIpsoas muscle), T2-weighted histogram features, and chemical shift SI index. Two blinded radiologists (radiologist 1 and radiologist 2) assessed T2-weighted SI and T2-weighted heterogeneity using five-point Likert scales.
Results: Subjectively, T2-weighted SI (P < .001 for radiologist 1 and radiologist 2) and T2-weighted heterogeneity (P < .001, for radiologist 1 and radiologist 2) were higher in metastases compared with adenomas when assessed by both radiologists. Agreement between the radiologists was substantial for T2-weighted SI (Cohen κ = 0.67) and T2-weighted heterogeneity (κ = 0.62). Metastases had higher T2-weighted SI ratio than adenomas (3.6 ± 1.7 [95% confidence interval {CI}: 0.2, 8.2] vs 2.2 ± 1.0 [95% CI: 0.6, 4.3], P < .001) and higher T2-weighted entropy (6.6 ± 0.6 [95% CI: 4.9, 7.5] vs 5.0 ± 0.8 [95% CI: 3.5, 6.6], P < .001). At multivariate analysis, T2-weighted entropy was the best differentiating feature (P < .001). Chemical shift SI index did not differ between metastases and adenomas (P = .748). Area under the receiver operating characteristic curve (AUC) for T2-weighted SI ratio and T2-weighted entropy were 0.76 (95% CI: 0.64, 0.88) and 0.94 (95% CI: 0.88, 0.99). The logistic regression model combining T2-weighted SI ratio with T2-weighted entropy yielded AUC of 0.95 (95% CI: 0.91, 0.99) and did not differ compared with T2-weighted entropy alone (P = .268). There was no difference in logistic regression model accuracy comparing the data by either field strength, 1.5- or 3-T MRI (P > .05).
Conclusion: Logistic regression models combining T2-weighted SI and T2-weighted heterogeneity can differentiate metastases from lipid-poor adenomas. Validation of these preliminary results is required.Keywords: Adrenal, MR-Imaging, UrinarySupplemental material is available for this article.© RSNA, 2020. 2020 by the Radiological Society of North America, Inc.

Entities:  

Year:  2020        PMID: 33778748      PMCID: PMC7983803          DOI: 10.1148/rycan.2020200011

Source DB:  PubMed          Journal:  Radiol Imaging Cancer        ISSN: 2638-616X


  59 in total

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2.  Can Texture Analysis Be Used to Distinguish Benign From Malignant Adrenal Nodules on Unenhanced CT, Contrast-Enhanced CT, or In-Phase and Opposed-Phase MRI?

Authors:  Lisa M Ho; Ehsan Samei; Maciej A Mazurowski; Yuese Zheng; Brian C Allen; Rendon C Nelson; Daniele Marin
Journal:  AJR Am J Roentgenol       Date:  2019-01-08       Impact factor: 3.959

3.  18F-FDG PET in characterizing adrenal lesions detected on CT or MRI.

Authors:  M Yun; W Kim; N Alnafisi; L Lacorte; S Jang; A Alavi
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4.  Distinction between benign and malignant adrenal masses: value of T1-weighted chemical-shift MR imaging.

Authors:  E K Outwater; E S Siegelman; P D Radecki; C W Piccoli; D G Mitchell
Journal:  AJR Am J Roentgenol       Date:  1995-09       Impact factor: 3.959

5.  Predictive value of image-guided adrenal biopsy: analysis of results of 101 biopsies.

Authors:  S G Silverman; P R Mueller; L P Pinkney; R M Koenker; S E Seltzer
Journal:  Radiology       Date:  1993-06       Impact factor: 11.105

6.  Characterization of texture features of bladder carcinoma and the bladder wall on MRI: initial experience.

Authors:  Zhengxing Shi; Zengyue Yang; Guopeng Zhang; Guangbin Cui; Xiaoshuang Xiong; Zhengrong Liang; Hongbing Lu
Journal:  Acad Radiol       Date:  2013-08       Impact factor: 3.173

7.  Adrenal adenoma and metastasis from clear cell renal cell carcinoma: can they be differentiated using standard MR techniques?

Authors:  Sungmin Woo; Jeong Yeon Cho; Sang Youn Kim; Seung Hyup Kim
Journal:  Acta Radiol       Date:  2013-11-19       Impact factor: 1.990

8.  Comparison of unenhanced CT and chemical shift MRI in evaluating lipid-rich adrenal adenomas.

Authors:  Gary M Israel; Melvyn Korobkin; Chun Wang; Elizabeth N Hecht; Glenn A Krinsky
Journal:  AJR Am J Roentgenol       Date:  2004-07       Impact factor: 3.959

9.  Imaging of adrenal incidentalomas with PET using (11)C-metomidate and (18)F-FDG.

Authors:  Heikki Minn; Anna Salonen; Johan Friberg; Anne Roivainen; Tapio Viljanen; Jaakko Långsjö; Jorma Salmi; Matti Välimäki; Kjell Någren; Pirjo Nuutila
Journal:  J Nucl Med       Date:  2004-06       Impact factor: 10.057

10.  The value of 15-minute delayed contrast-enhanced CT to differentiate hyperattenuating adrenal masses compared with chemical shift MR imaging.

Authors:  Hyun Jung Koo; Hyuck Jae Choi; Hwa Jung Kim; Sun-Ok Kim; Kyoung-Sik Cho
Journal:  Eur Radiol       Date:  2014-03-20       Impact factor: 5.315

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  4 in total

1.  Diagnostic performance of radiomics in adrenal masses: A systematic review and meta-analysis.

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Journal:  Front Oncol       Date:  2022-09-02       Impact factor: 5.738

2.  Radiomics approach based on biphasic CT images well differentiate "early stage" of adrenal metastases from lipid-poor adenomas: A STARD compliant article.

Authors:  Lixiu Cao; Wengui Xu
Journal:  Medicine (Baltimore)       Date:  2022-09-23       Impact factor: 1.817

Review 3.  Hepatocellular carcinoma: metastatic pathways and extra-hepatic findings.

Authors:  Sandeep Arora; Carla Harmath; Roberta Catania; Ari Mandler; Kathryn J Fowler; Amir A Borhani
Journal:  Abdom Radiol (NY)       Date:  2021-06-05

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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