Literature DB >> 25457535

Characterization of renal cell carcinoma, oncocytoma, and lipid-poor angiomyolipoma by unenhanced, nephrographic, and delayed phase contrast-enhanced computed tomography.

Kousei Ishigami1, Marius G Pakalniskis2, Leandro V Leite2, Daniel K Lee3, Danniele G Holanda4, Maheen Rajput2.   

Abstract

The purpose of this study was to assess the characterization of renal cell carcinoma (RCC) and benign renal tumors by unenhanced, nephrographic, and delayed phase computed tomography (CT). The study group consisted of 129 renal tumors including 79 clear cell RCCs, 17 papillary RCCs, 6 chromophobe RCCs, 21 oncocytoma, and 6 lipid-poor angiomyolipomas (AMLs). CT studies were retrospectively reviewed. Our results suggested that it was possible to discriminate clear cell RCC from papillary RCC, chromophobe RCC, and lipid-poor AML. CT findings of oncocytoma overlapped with both clear cell and non-clear cell RCCs, although oncocytoma more commonly became homogeneous in the delayed phase.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Computed tomography; Lipid-poor angiomyolipoma; Oncocytoma; Renal cell carcinoma

Mesh:

Year:  2014        PMID: 25457535     DOI: 10.1016/j.clinimag.2014.09.008

Source DB:  PubMed          Journal:  Clin Imaging        ISSN: 0899-7071            Impact factor:   1.605


  7 in total

1.  Machine learning-based quantitative texture analysis of CT images of small renal masses: Differentiation of angiomyolipoma without visible fat from renal cell carcinoma.

Authors:  Zhichao Feng; Pengfei Rong; Peng Cao; Qingyu Zhou; Wenwei Zhu; Zhimin Yan; Qianyun Liu; Wei Wang
Journal:  Eur Radiol       Date:  2017-11-13       Impact factor: 5.315

Review 2.  [Painless hematuria: diagnostic workup using multislice computertomography].

Authors:  M Töpker
Journal:  Radiologe       Date:  2018-10       Impact factor: 0.635

3.  Predictive Value of CT-Based Radiomics in Distinguishing Renal Angiomyolipomas with Minimal Fat from Other Renal Tumors.

Authors:  Zhiwei Han; Yuanqiang Zhu; Jingji Xu; Didi Wen; Yuwei Xia; Minwen Zheng; Tao Yan; Mengqi Wei
Journal:  Dis Markers       Date:  2022-05-28       Impact factor: 3.464

4.  Dilemmas in diagnosis and natural history of renal oncocytoma and implications for management.

Authors:  Nikita R Bhatt; Niall F Davis; Robert Flynn; Ted McDermott; J A Thornhill; Rustom P Manecksha
Journal:  Can Urol Assoc J       Date:  2015-10-13       Impact factor: 1.862

5.  Increased Insulin mRNA Binding Protein-3 Expression Correlates with Vascular Enhancement of Renal Cell Carcinoma by Intravenous Contrast-CT and is Associated with Bone Metastasis.

Authors:  Chao Xie; Yaying Li; Qingqing Li; Yu Chen; Jorge Yao; Guoyong Yin; Qing Bi; Regis J O'Keefe; Edward M Schwarz; Wakenda Tyler
Journal:  J Bone Oncol       Date:  2015-09-12       Impact factor: 4.072

6.  Role of Contrast Enhancement and Corrected Attenuation Values of Renal Tumors in Predicting Renal Cell Carcinoma (RCC) Subtypes: Protocol for a Triphasic Multi-Slice Computed Tomography (CT) Procedure.

Authors:  Ersen Ertekin; Akın Soner Amasyalı; Bulent Erol; Saim Acikgozoglu; Faruk Kucukdurmaz; Alaaddin Nayman; Haluk Erol
Journal:  Pol J Radiol       Date:  2017-07-16

7.  Value of radiomics in differential diagnosis of chromophobe renal cell carcinoma and renal oncocytoma.

Authors:  Yajuan Li; Xialing Huang; Yuwei Xia; Liling Long
Journal:  Abdom Radiol (NY)       Date:  2020-10
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.