Literature DB >> 20308475

How not to miss or mischaracterize a renal cell carcinoma: protocols, pearls, and pitfalls.

Pamela T Johnson1, Karen M Horton, Elliot K Fishman.   

Abstract

OBJECTIVE: MDCT protocol optimization for renal cell carcinoma requires attention to several data acquisition, reconstruction, and display parameters. Specifically, multiple acquisitions with varying coverage, careful timing of each contrast-enhanced phase, and use of 2D and 3D multiplanar displays are required. This article reviews these parameters, supplemented by experience-based pearls and pitfalls.
CONCLUSION: Proper data acquisition and utilization of postprocessing tools are essential to avoid missed diagnoses or misinterpretation when imaging renal cell carcinoma.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20308475     DOI: 10.2214/AJR.09.3033

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


  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.  An overview of non-invasive imaging modalities for diagnosis of solid and cystic renal lesions.

Authors:  Ravinder Kaur; Mamta Juneja; A K Mandal
Journal:  Med Biol Eng Comput       Date:  2019-11-21       Impact factor: 2.602

3.  Pretreatment differentiation of renal cell carcinoma subtypes by CT: the influence of different tumor enhancement measurement approaches.

Authors:  Ivan Zokalj; Miljenko Marotti; Branko Kolarić
Journal:  Int Urol Nephrol       Date:  2014-01-01       Impact factor: 2.370

4.  Advances of multidetector computed tomography in the characterization and staging of renal cell carcinoma.

Authors:  Athina C Tsili; Maria I Argyropoulou
Journal:  World J Radiol       Date:  2015-06-28

Review 5.  [Modern imaging of renal tumors - application in diagnostics and therapy. Characterization, operation planning and therapy monitoring of renal lesions].

Authors:  J P Radtke; D Teber; C D Alt; B A Hadaschik; P Hallscheidt
Journal:  Radiologe       Date:  2016-03       Impact factor: 0.635

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.  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
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.