Literature DB >> 27959744

Is Multiparametric MRI Useful for Differentiating Oncocytomas From Chromophobe Renal Cell Carcinomas?

Chloe Galmiche1, Jean-Christophe Bernhard2, Mokrane Yacoub3, Alain Ravaud4, Nicolas Grenier1, François Cornelis1.   

Abstract

OBJECTIVE: The purpose of this study was to retrospectively evaluate the diagnostic accuracy of multiparametric MRI to differentiate oncocytoma from chromophobe renal cell carcinoma (RCC).
MATERIALS AND METHODS: In this retrospective study, 26 histologically confirmed oncocytomas and 16 chromophobe RCCs that underwent full MRI examination were identified in 42 patients (25 men and 17 women) over a 6-year period. Demographic data were recorded. Double-echo chemical-shift, dynamic contrast-enhanced T1- and T2-weighted images, and apparent diffusion coefficient (ADC) maps were reviewed independently by two radiologists blinded to pathologic results. Signal-intensity index (SII), tumor-to-spleen signal-intensity ratio, ADC ratio, three wash-in indexes, and two washout indexes were calculated and compared using univariate and ROC analyses. Sensitivity and specificity analyses were performed to calculate diagnostic accuracy.
RESULTS: All carcinomas and nine oncocytomas were resected; the remaining 17 oncocytomas were biopsied. Patient age (for oncocytomas: mean, 68.2 years; range, 43-84 years; for RCCs: mean, 60.8 years; range, 20-79 years) and tumor size (for oncocytomas: mean, 35.5 mm; range, 12-98 mm; for RCCs: mean, 37.2 mm; range, 9-101 mm) did not differ significantly across groups (p = 0.132 and 0.265, respectively). Good interobserver agreement was observed for all measurements but four. Oncocytomas presented significantly higher ADC (p = 0.002) and faster enhancement (p = 0.007-0.012) but lower SII (p = 0.03) than carcinomas. This combination provided sensitivity of 92.3% (24/26), specificity of 93.8% (15/16), and accuracy of 92.9% (39/42) for the detection of oncocytomas.
CONCLUSION: Multiparametric MRI helps to accurately differentiate oncocytomas from chromophobe RCCs with high sensitivity and specificity.

Entities:  

Keywords:  DWI; MRI; oncocytomas; renal cell carcinomas; renal neoplasms

Mesh:

Year:  2016        PMID: 27959744     DOI: 10.2214/AJR.16.16832

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  11 in total

1.  Assessment of multiphasic contrast-enhanced MR textures in differentiating small renal mass subtypes.

Authors:  Uyen N Hoang; S Mojdeh Mirmomen; Osorio Meirelles; Jianhua Yao; Maria Merino; Adam Metwalli; W Marston Linehan; Ashkan A Malayeri
Journal:  Abdom Radiol (NY)       Date:  2018-12

2.  Predicting common solid renal tumors using machine learning models of classification of radiologist-assessed magnetic resonance characteristics.

Authors:  Camila Lopes Vendrami; Robert J McCarthy; Carolina Parada Villavicencio; Frank H Miller
Journal:  Abdom Radiol (NY)       Date:  2020-07-14

3.  MR texture analysis in differentiating renal cell carcinoma from lipid-poor angiomyolipoma and oncocytoma.

Authors:  Abdul Razik; Ankur Goyal; Raju Sharma; Devasenathipathy Kandasamy; Amlesh Seth; Prasenjit Das; Balaji Ganeshan
Journal:  Br J Radiol       Date:  2020-08-26       Impact factor: 3.039

4.  Chromophobe Renal Cell Carcinoma with Radiologic-Pathologic Correlation.

Authors:  Jamie Marko; Ryan Craig; Andrew Nguyen; Aaron M Udager; Darcy J Wolfman
Journal:  Radiographics       Date:  2021-08-13       Impact factor: 6.312

Review 5.  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

Review 6.  [Noninvasive phenotyping of renal tumors-current state of the art].

Authors:  Hubert Stefan Bickel
Journal:  Radiologe       Date:  2018-10       Impact factor: 0.635

7.  Diagnostic test accuracy of ADC values for identification of clear cell renal cell carcinoma: systematic review and meta-analysis.

Authors:  Mickael Tordjman; Rahul Mali; Guillaume Madelin; Vinay Prabhu; Stella K Kang
Journal:  Eur Radiol       Date:  2020-03-06       Impact factor: 5.315

8.  Mono, bi- and tri-exponential diffusion MRI modelling for renal solid masses and comparison with histopathological findings.

Authors:  Sophie van Baalen; Martijn Froeling; Marino Asselman; Caroline Klazen; Claire Jeltes; Lotte van Dijk; Bart Vroling; Pieter Dik; Bennie Ten Haken
Journal:  Cancer Imaging       Date:  2018-11-26       Impact factor: 3.909

9.  Multi-Phase Multiple Detector Computed Tomography (MDCT) Enhancement Patterns and Morphological Features of Chromophobe Renal Cell Carcinoma: An Analysis of 67 Cases.

Authors:  Min Luo; Yuting Zhu; Shaobin Chen; Qilin Huang; Wei Zhang; Mingping Ma; Yongbao Wei
Journal:  Med Sci Monit       Date:  2021-04-28

10.  Renal Cell Carcinoma or Oncocytoma? The Contribution of Diffusion-Weighted Magnetic Resonance Imaging to the Differential Diagnosis of Renal Masses.

Authors:  Melike Metin; Hasan Aydın; Mustafa Karaoğlanoğlu
Journal:  Medicina (Kaunas)       Date:  2022-02-01       Impact factor: 2.430

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