Literature DB >> 30055766

Delayed enhancement of the peritumoural cortex in clear cell renal cell carcinoma: correlation with Fuhrman grade.

X Zhang1, Y Wang1, L Yang2, T Li1, J Wu1, R Chang1, J Zhang1.   

Abstract

AIM: To assess the delayed enhancement of the peritumoural cortex (DEC) sign in clear cell renal cell carcinoma (ccRCC), and investigate a possible correlation among DEC and Fuhrman grade.
MATERIALS AND METHODS: This retrospective study included 506 patients with 511 histopathologically proven ccRCCs evaluated by computed tomography (CT) angiography. DEC was detected and compared in groups divided by Fuhrman grades (low grade: 1 and 2, high grade: 3 and 4) using univariate and multivariate analyses.
RESULTS: DEC was detected in 89 of 511 (17.4%) ccRCCs (grade 1: 5.7%, 2/35; grade 2: 16.2%, 70/433; grade 3: 31.4%, 11/35; grade 4: 75%, 6/8; p<0.001). The incidence was higher in high-grade ccRCCs (39.5%, 17/43) than in low-grade ccRCCs (15.4%, 72/468; p<0.001). In multivariate analysis, tumour size >5.4 cm (p<0.001, odds ratio [OR]=3.57, 95% confidence interval [CI]: 1.76-7.23) and detection of DEC (p=0.021, OR=2.33, 95% CI: 1.13-4.80) were independent predictors of high-grade ccRCC. For all ccRCCs, the area under the receiver operating characteristic (ROC) curve (AUC) of DEC in predicting high-grade ccRCC was 0.62 (95% CI: 0.53-0.72) with 39.5% sensitivity and 84.6% specificity, while for ccRCCs of >5.4 cm diameter, the AUC was 0.66 (95% CI: 0.52-0.80) with 68.4% sensitivity and 62.7% specificity.
CONCLUSIONS: The DEC sign may predict aggressive biological behaviour of ccRCC, irrespective of tumour size.
Copyright © 2018 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.

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Year:  2018        PMID: 30055766     DOI: 10.1016/j.crad.2018.06.010

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  3 in total

1.  Safety and efficacy of microwave versus radiofrequency ablation for large hepatic hemangioma: a multicenter retrospective study with propensity score matching.

Authors:  Jian Kong; Ruize Gao; Shilun Wu; Yaoping Shi; Tao Yin; Shigang Guo; Zonghai Xin; Aolei Li; Xinliang Kong; Demin Ma; Bo Zhai; Wenbing Sun; Jun Gao
Journal:  Eur Radiol       Date:  2022-01-29       Impact factor: 5.315

2.  Prediction models for clear cell renal cell carcinoma ISUP/WHO grade: comparison between CT radiomics and conventional contrast-enhanced CT.

Authors:  Dong Han; Yong Yu; Nan Yu; Shan Dang; Hongpei Wu; Ren Jialiang; Taiping He
Journal:  Br J Radiol       Date:  2020-08-12       Impact factor: 3.039

3.  Multiphase Contrast-Enhanced CT-Based Machine Learning Models to Predict the Fuhrman Nuclear Grade of Clear Cell Renal Cell Carcinoma.

Authors:  Shengsheng Lai; Lei Sun; Jialiang Wu; Ruili Wei; Shiwei Luo; Wenshuang Ding; Xilong Liu; Ruimeng Yang; Xin Zhen
Journal:  Cancer Manag Res       Date:  2021-02-04       Impact factor: 3.989

  3 in total

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