Literature DB >> 23932396

Pseudotumours in chronic kidney disease: can diffusion-weighted MRI rule out malignancy.

Ankur Goyal1, Raju Sharma, Ashu S Bhalla, Shivanand Gamanagatti, Amlesh Seth.   

Abstract

OBJECTIVES: To evaluate whether diffusion-weighted MRI (DW-MRI) can distinguish pseudotumours in chronic kidney disease (CKD pseudotumours) from renal-cell-carcinomas (RCCs) (with or without CKD) and whether it offers additional benefit over conventional MRI.
METHODS: One-hundred patients underwent MDCT, MRI and DW-MRI (at b-values of 0 and 500s/mm(2)) for evaluation of focal renal lesions. Of these, 20 patients with 40 CKD pseudotumours and 36 patients with 40 RCCs were retrospectively analyzed. T1-weighted, T2-weighted, diffusion-weighted images were evaluated, apparent-diffusion-coefficient (ADC) values were compared and receiver-operating-characteristic (ROC) curves were drawn to establish cut-off ADC-values.
RESULTS: 92.5% of CKD pseudotumours remained indeterminate after conventional MRI. On DW-MRI, none of them showed restricted diffusion and thus malignancy could be ruled out in 100% of the lesions. In contrast, all the solid RCCs showed diffusion restriction. Mean ADC-value for CKD pseudotumours was significantly higher than RCCs and surrounding diseased parenchyma [2.50 vs 1.56 (×10(-3)mm(2)/s) (P<0.0001) and 2.05 (×10(-3)mm(2)/s) (P=0.0001) respectively]. ROC analysis for differentiating CKD pseudotumours and RCC yielded high sensitivity (91.7%) and specificity (100%) for cut-off ADC-value of 2.04 (×10(-3)mm(2)/s).
CONCLUSIONS: CKD pseudotumors usually remain indeterminate on conventional non-contrast MRI. DW-MRI can distinguish CKD pseudotumors from RCCs and offers a non-contrast non-invasive alternative for ruling out malignancy.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  ADC; CKD; Chronic kidney disease; DW-MRI; Diffusion weighted MRI; Indeterminate renal lesion; MDCT; MRI; ROC curve; Renal cell carcinoma; Renal pseudotumour; apparent diffusion coefficient; chronic kidney disease; diffusion-weighted MRI; magnetic resonance imaging; multidetector computed tomography; receiver operating characteristic curve

Mesh:

Year:  2013        PMID: 23932396     DOI: 10.1016/j.ejrad.2013.07.008

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


  8 in total

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2.  Usefulness of resistive index on spectral Doppler ultrasonography in the detection of renal cell carcinoma in patients with end-stage renal disease.

Authors:  Sang Youn Kim; Sungmin Woo; Sung Il Hwang; Min Hoan Moon; Chang Kyu Sung; Hak Jong Lee; Jeong Yeon Cho; Seung Hyup Kim
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3.  Apparent diffusion coefficient measurement by diffusion weighted magnetic resonance imaging is a useful tool in differentiating renal tumors.

Authors:  Jing-Hong Liu; Shi-Feng Tian; Ye Ju; Ye Li; An-Liang Chen; Li-Hua Chen; Ai-Lian Liu
Journal:  BMC Cancer       Date:  2015-04-16       Impact factor: 4.430

Review 4.  Standard b-value versus low b-value diffusion-weighted MRI in renal cell carcinoma: a systematic review and meta-analysis.

Authors:  Yanlong Tang; Yue Zhou; Wei Du; Ning Liu; Chengzhi Zhang; Tianzhao Ouyang; Jinbo Hu
Journal:  BMC Cancer       Date:  2014-11-18       Impact factor: 4.430

5.  Diagnostic Significance of Diffusion-Weighted MRI in Renal Cancer.

Authors:  Yu Lei; Hong Wang; Hai-Feng Li; Yan-Wei Rao; Jing-Hong Liu; Shi-Feng Tian; Ye Ju; Ye Li; An-Liang Chen; Li-Hua Chen; Ai-Lian Liu; Ming-Li Sun
Journal:  Biomed Res Int       Date:  2015-04-30       Impact factor: 3.411

6.  Author reply.

Authors:  Venkatraman Indiran
Journal:  Indian J Radiol Imaging       Date:  2017 Apr-Jun

7.  Magnetic resonance imaging as problem-solving tool in renal pseudotumor in chronic kidney disease: A case of nodular compensatory hypertrophy.

Authors:  V Indiran
Journal:  Indian J Nephrol       Date:  2016 Nov-Dec

8.  Comparison of MDCT, MRI and MRI with diffusion-weighted imaging in evaluation of focal renal lesions: The defender, challenger, and winner!

Authors:  Ankur Goyal; Raju Sharma; Ashu S Bhalla; Shivanand Gamanagatti; Amlesh Seth
Journal:  Indian J Radiol Imaging       Date:  2018 Jan-Mar
  8 in total

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