Literature DB >> 29606371

Characterization of small (<4cm) solid renal masses by computed tomography and magnetic resonance imaging: Current evidence and further development.

N Schieda1, R S Lim1, M D F McInnes1, I Thomassin2, R Renard-Penna2, S Tavolaro2, F H Cornelis3.   

Abstract

Diagnosis of renal cell carcinomas (RCC) subtypes on computed tomography (CT) and magnetic resonance imaging (MRI) is clinically important. There is increased evidence that confident imaging diagnosis is now possible while standardization of the protocols is still required. Fat-poor angiomyolipoma show homogeneously increased unenhanced attenuation, homogeneously low signal on T2-weighted MRI and apparent diffusion coefficient (ADC) map, may contain microscopic fat and are classically avidly enhancing. Papillary RCC are also typically hyperattenuating and of low signal on T2-weighted MRI and ADC map; however, their gradual progressive enhancement after intravenous administration of contrast material is a differentiating feature. Clear cell RCC are avidly enhancing and may show intracellular lipid; however, these tumors are heterogeneous and are of characteristically increased signal on T2-weighted MRI. Oncocytomas and chromophobe tumors (collectively oncocytic neoplasms) show intermediate imaging findings on CT and MRI and are the most difficult subtype to characterize accurately; however, both show intermediately increased signal on T2-weighted with more gradual enhancement compared to clear cell RCC. Chromophobe tumors tend to be more homogeneous compared to oncocytomas, which can be heterogeneous, but other described features (e.g. scar, segmental enhancement inversion) overlap considerably between tumors. Tumor grade is another important consideration in small solid renal masses with emerging studies on both CT and MRI suggesting that high grade tumors may be separated from lower grade disease based upon imaging features.
Copyright © 2018 Soci showét showé françaises de radiologie. Published by Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  Angiomyolipoma; Computed tomography (CT); Magnetic resonance imaging (MRI); Renal cell carcinoma; Tumor characterization

Mesh:

Year:  2018        PMID: 29606371     DOI: 10.1016/j.diii.2018.03.004

Source DB:  PubMed          Journal:  Diagn Interv Imaging        ISSN: 2211-5684            Impact factor:   4.026


  9 in total

1.  Importance of phase enhancement for machine learning classification of solid renal masses using texture analysis features at multi-phasic CT.

Authors:  Nicola Schieda; Kathleen Nguyen; Rebecca E Thornhill; Matthew D F McInnes; Mark Wu; Nick James
Journal:  Abdom Radiol (NY)       Date:  2020-07-05

2.  Role of computed tomography features in the differential diagnosis of chromophobe renal cell carcinoma from oncocytoma and angiomyolipoma without visible fat.

Authors:  Cuiping Zhou; Xiaohua Ban; Jianxun Lv; Lin Cheng; Jianmin Xu; Xinping Shen
Journal:  Quant Imaging Med Surg       Date:  2022-04

3.  Association between nuclear grade of renal cell carcinoma and the aorta-lesion-attenuation-difference.

Authors:  Joseph R Grajo; Nikhil V Batra; Shahab Bozorgmehri; Laura L Magnelli; Padraic O'Malley; Russell Terry; Li-Ming Su; Paul L Crispen
Journal:  Abdom Radiol (NY)       Date:  2021-08-31

Review 4.  Long Non-Coding RNAs as Novel Biomarkers in the Clinical Management of Papillary Renal Cell Carcinoma Patients: A Promise or a Pledge?

Authors:  Francesco Trevisani; Matteo Floris; Riccardo Vago; Roberto Minnei; Alessandra Cinque
Journal:  Cells       Date:  2022-05-17       Impact factor: 7.666

5.  Defining the Magnetic Resonance Features of Renal Lesions and Their Response to Everolimus in a Transgenic Mouse Model of Tuberous Sclerosis Complex.

Authors:  Shubhangi Agarwal; Emilie Decavel-Bueff; Yung-Hua Wang; Hecong Qin; Romelyn Delos Santos; Michael J Evans; Renuka Sriram
Journal:  Front Oncol       Date:  2022-06-23       Impact factor: 5.738

Review 6.  Imaging considerations for thermal and radiotherapy ablation of primary and metastatic renal cell carcinoma.

Authors:  Mohammad Haroon; Paul Sathiadoss; Rebecca M Hibbert; Satheesh Krishna Jeyaraj; Christopher Lim; Nicola Schieda
Journal:  Abdom Radiol (NY)       Date:  2021-07-10

Review 7.  Radiomics to better characterize small renal masses.

Authors:  Teele Kuusk; Joana B Neves; Maxine Tran; Axel Bex
Journal:  World J Urol       Date:  2021-01-26       Impact factor: 4.226

8.  Comparison of cortico-medullary phase contrast-enhanced MDCT and T2-weighted MR imaging in the histological subtype differentiation of renal cell carcinoma: radiology-pathology correlation.

Authors:  Ahmet Mesrur Halefoglu; Ayse Aysim Ozagari
Journal:  Pol J Radiol       Date:  2021-10-15

9.  Diagnostic accuracy of signal loss in in-phase gradient-echo images for differentiation between small renal cell carcinoma and lipid-poor angiomyolipomas.

Authors:  Francisco V A Lima; Jorge Elias; Fernando Chahud; Rodolfo B Reis; Valdair F Muglia
Journal:  Br J Radiol       Date:  2020-02-04       Impact factor: 3.039

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.