Literature DB >> 23674020

Perirenal fat invasion on renal cell carcinoma: evaluation with multidetector computed tomography-multivariate analysis.

Athina C Tsili1, Anna C Goussia, Dimitrios Baltogiannis, Loukas Astrakas, Nikolaos Sofikitis, Vasiliki Malamou-Mitsi, Maria I Argyropoulou.   

Abstract

OBJECTIVE: The objective of this study was to assess the accuracy of multidetector computed tomography (CT) in diagnosing perinephric (PN) and/or renal sinus (RS) fat invasion in patients with renal cell carcinoma (RCC), with reference to the CT findings predictive for the diagnosis of invasion.
METHODS: This was a retrospective study of 48 RCCs. Examinations were performed on a 16-row CT scanner, including unenhanced and 3-phase contrast-enhanced CT scanning. Unenhanced transverse images and multiplanar reformations of each contrast-enhanced CT phase were evaluated. The predictive value of CT findings in diagnosing PN and/or RS fat invasion was determined using multivariate logistic regression analysis.
RESULTS: The CT findings that were most predictive for the diagnosis of PN fat invasion were the presence of contrast-enhancing nodules in the PN fat and tumoral margins. Invasion of the pelvicaliceal system was the most significant predictor in the diagnosis of RS fat invasion.
CONCLUSIONS: Multidetector CT provides satisfactory results in detecting PN and/or RS fat invasion in RCC.

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Year:  2013        PMID: 23674020     DOI: 10.1097/RCT.0b013e318283bc8e

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  7 in total

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Authors:  Athina C Tsili; Maria I Argyropoulou
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Authors:  Seung-Hwan Jeong; Jung Kwon Kim; Juhyun Park; Ho Joon Jeon; Min Young Yoon; Chang Wook Jeong; Ja Hyeon Ku; Hyeon Hoe Kim; Cheol Kwak
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4.  Impact of pathological T3a upstaging on oncological outcomes of clinical T1 renal cell carcinoma: a meta-analysis.

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7.  Multislice spiral computed tomography signs of invasion of the renal capsule by renal cell carcinoma.

Authors:  Yanman Zhang; Hao Tian; Siqi Zhang; Qing Zhang; Xianhua Wu
Journal:  Medicine (Baltimore)       Date:  2018-11       Impact factor: 1.817

  7 in total

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