Literature DB >> 25148187

Low enhancement on multiphase contrast-enhanced CT images: an independent predictor of the presence of high tumor grade of clear cell renal cell carcinoma.

Ye-Hua Zhu1, Xun Wang, Jin Zhang, Yong-Hui Chen, Wen Kong, Yi-Ran Huang.   

Abstract

OBJECTIVE: The purpose of this study was to assess the relation between tumor enhancement on multiphase contrast-enhanced CT images and Fuhrman grade of clear cell renal cell carcinoma.
MATERIALS AND METHODS: A single-institution retrospective review was conducted on the records of 255 patients who underwent radical or partial nephrectomy and received a histologic diagnosis of clear cell renal cell carcinoma. Two radiologists recorded the radiographic features of each patient, including the attenuation value of the lesion, lesion size, calcification within the lesion, cystic versus solid appearance, and margin regularity. Parameters representing the extent of tumor enhancement were defined and calculated. The association between tumor enhancement and Fuhrman grade was analyzed, and multivariate analysis was performed to find independent predictors of high tumor grade.
RESULTS: Significant differences existed in tumor enhancement among different Fuhrman grades (p < 0.001). High-grade tumors had significantly lower enhancement (p < 0.001). The enhancement parameter had a sensitivity of 0.84 and specificity of 0.93 in prediction of high tumor grade. In the multivariate analysis, more advanced age, irregular margin, and low tumor enhancement were the three independent predictors of high tumor grade.
CONCLUSION: Tumor enhancement of clear cell renal cell carcinoma on multiphase contrast-enhanced CT images is associated with Fuhrman grade. Low tumor enhancement in the corticomedullary phase is an independent predictor of high tumor grade. This system may be helpful in clinical decision making about the care of patients treated by nonsurgical approaches.

Entities:  

Keywords:  MDCT; carcinoma; kidney; neoplasm grading; renal cell carcinoma

Mesh:

Substances:

Year:  2014        PMID: 25148187     DOI: 10.2214/AJR.13.12297

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


  19 in total

1.  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

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

Review 3.  [Noninvasive phenotyping of renal tumors-current state of the art].

Authors:  Hubert Stefan Bickel
Journal:  Radiologe       Date:  2018-10       Impact factor: 0.635

4.  Extent of enhancement on multiphase contrast-enhanced CT images is a potential prognostic factor of stage I-III colon cancer.

Authors:  Zhanhuai Wang; Yao Ye; Yeting Hu; Shugao Han; Lifeng Sun; Dong Xu; Kefeng Ding
Journal:  Eur Radiol       Date:  2018-09-25       Impact factor: 5.315

5.  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

6.  New Preoperative Nomogram Using the Centrality Index to Predict High Nuclear Grade Clear Cell Renal Carcinoma.

Authors:  Zhan Feng; Shuangshuang Lou; Lixia Zhang; Liang Zhang; Wenting Lan; Minhong Wang; Qijun Shen; Zhengyu Hu; Feng Chen
Journal:  Cancer Manag Res       Date:  2019-12-31       Impact factor: 3.989

7.  Comparison of Different Machine Models Based on Contrast-Enhanced Computed Tomography Radiomic Features to Differentiate High From Low Grade Clear Cell Renal Cell Carcinomas.

Authors:  Xu Pei; Ping Wang; Jia-Liang Ren; Xiao-Ping Yin; Lu-Yao Ma; Yun Wang; Xi Ma; Bu-Lang Gao
Journal:  Front Oncol       Date:  2021-05-26       Impact factor: 6.244

8.  Radiomics models based on enhanced computed tomography to distinguish clear cell from non-clear cell renal cell carcinomas.

Authors:  Ping Wang; Xu Pei; Xiao-Ping Yin; Jia-Liang Ren; Yun Wang; Lu-Yao Ma; Xiao-Guang Du; Bu-Lang Gao
Journal:  Sci Rep       Date:  2021-07-02       Impact factor: 4.379

9.  CT prediction of the Fuhrman grade of clear cell renal cell carcinoma (RCC): towards the development of computer-assisted diagnostic method.

Authors:  Hannu Huhdanpaa; Darryl Hwang; Steven Cen; Brian Quinn; Megha Nayyar; Xuejun Zhang; Frank Chen; Bhushan Desai; Gangning Liang; Inderbir Gill; Vinay Duddalwar
Journal:  Abdom Imaging       Date:  2015-10

10.  An evaluation of the clinical diagnostic value of contrast-enhanced ultrasound combined with contrast-enhanced computed tomography in space-occupying lesions of the kidney.

Authors:  Wen Tian; Jianbo Lu; Dan Jiao; Zhibin Cong
Journal:  Onco Targets Ther       Date:  2017-07-14       Impact factor: 4.147

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.