Literature DB >> 27119793

Characterization of clear cell renal cell carcinoma with diffusion kurtosis imaging: correlation between diffusion kurtosis parameters and tumor cellularity.

Yongming Dai1, Qiuying Yao2, Guangyu Wu2, Dongmei Wu3, Lianming Wu2, Li Zhu4, Rong Xue5,6, Jianrong Xu2.   

Abstract

The aim of this study was to evaluate the role of diffusion kurtosis imaging (DKI) in the characterization of clear cell renal cell carcinoma (ccRCC) and to correlate DKI parameters with tumor cellularity. Fifty-nine patients with pathologically diagnosed ccRCCs were evaluated by DKI on a 3-T scanner. Regions of interest were drawn on the maps of the mean diffusion coefficient (MD) and mean diffusion kurtosis (MK). All ccRCCs were histologically graded according to the Fuhrman classification system. Tumor cellularity was measured by the nuclear-to-cytoplasm (N/C) ratio and the number of tumor cell nuclei (NTCN). ccRCCs were classified as grade 1 (n = 23), grade 2 (n = 24), grade 3 (n = 10) and grade 4 (n = 3). Both MD and MK could readily discriminate between normal renal parenchyma and ccRCCs (p < 0.001), and receiver operating characteristic (ROC) curve analysis showed that MK exhibited a better performance with an area under the ROC curve of 0.874 and sensitivity/specificity of 68.33%/100% (p < 0.001). Further, MD and MK were significantly different between grade 1 and grades 3 and 4 (p = 0.01, p < 0.001) and between grade 2 and grades 3 and 4 (p = 0.015, p < 0.005), respectively. However, no significant difference was found between grade 1 and grade 2 (p > 0.05) for both MD and MK. With regard to NTCN, no significant difference was found between any two grades (p > 0.05), and the N/C ratio changed significantly with grade (p < 0.01, between any two grades). Negative correlations were found between MK and MD (r = -0.56, p < 0.001), and between MD and N/C ratio (r = -0.36, p < 0.005), whereas MK and the N/C ratio were positively correlated (r = 0.45, p = 0.003). DKI could quantitatively characterize ccRCC with different grades by probing non-Gaussian diffusion properties related to changes in the tumor microenvironment or tissue complexities in the tumor.
Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

Entities:  

Keywords:  MRI; clear cell renal cell carcinoma; diffusion kurtosis imaging; tumor cellularity

Mesh:

Year:  2016        PMID: 27119793     DOI: 10.1002/nbm.3535

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  10 in total

1.  Fast diffusion kurtosis imaging of fibrotic mouse kidneys.

Authors:  B F Kjølby; A R Khan; A Chuhutin; L Pedersen; J B Jensen; S Jakobsen; D Zeidler; R Sangill; J R Nyengaard; S N Jespersen; B Hansen
Journal:  NMR Biomed       Date:  2016-10-12       Impact factor: 4.044

2.  Differentiating between malignant and benign renal tumors: do IVIM and diffusion kurtosis imaging perform better than DWI?

Authors:  Yuqin Ding; Qinxuan Tan; Wei Mao; Chenchen Dai; Xiaoyi Hu; Jun Hou; Mengsu Zeng; Jianjun Zhou
Journal:  Eur Radiol       Date:  2019-06-03       Impact factor: 5.315

3.  Functional magnetic resonance imaging for distinguishing type of papillary renal cell carcinoma: a preliminary study.

Authors:  Qingqiang Zhu; Jing Ye; Wenrong Zhu; Jingtao Wu; Wenxin Chen; Jun Ling
Journal:  Br J Radiol       Date:  2021-09-07       Impact factor: 3.629

4.  Renal cell carcinoma: preoperative evaluate the grade of histological malignancy using volumetric histogram analysis derived from magnetic resonance diffusion kurtosis imaging.

Authors:  Ke Wang; Jingyun Cheng; Yan Wang; Guangyao Wu
Journal:  Quant Imaging Med Surg       Date:  2019-04

5.  Application of diffusion kurtosis tensor MR imaging in characterization of renal cell carcinomas with different pathological types and grades.

Authors:  Jie Zhu; Xiaojie Luo; Jiayin Gao; Saying Li; Chunmei Li; Min Chen
Journal:  Cancer Imaging       Date:  2021-03-16       Impact factor: 3.909

6.  Diffusion kurtosis imaging features of renal cell carcinoma: a preliminary study.

Authors:  Qingqiang Zhu; Qing Xu; Weiqiang Dou; Wenrong Zhu; Jingtao Wu; Wenxin Chen; Jing Ye
Journal:  Br J Radiol       Date:  2021-05-14       Impact factor: 3.629

7.  Correlation between diffusion kurtosis and intravoxel incoherent motion derived (IVIM) parameters and tumor tissue composition in rectal cancer: a pilot study.

Authors:  Jie Yuan; Zhigang Gong; Kun Liu; Jingjing Song; Qun Wen; Wenli Tan; Songhua Zhan; Qiang Shen
Journal:  Abdom Radiol (NY)       Date:  2022-02-02

8.  Magnetic Resonance Diffusion Kurtosis Imaging versus Diffusion-Weighted Imaging in Evaluating the Pathological Grade of Hepatocellular Carcinoma.

Authors:  Guang-Zhi Wang; Ling-Fei Guo; Gui-Hua Gao; Yao Li; Xi-Zhen Wang; Zhen-Guo Yuan
Journal:  Cancer Manag Res       Date:  2020-06-29       Impact factor: 3.989

9.  Diffusion Kurtosis MR Imaging versus Conventional Diffusion-Weighted Imaging for Distinguishing Hepatocellular Carcinoma from Benign Hepatic Nodules.

Authors:  Yingmei Jia; Huasong Cai; Meng Wang; Yanji Luo; Ling Xu; Zhi Dong; Xu Yan; Zi-Ping Li; Shi-Ting Feng
Journal:  Contrast Media Mol Imaging       Date:  2019-07-17       Impact factor: 3.161

Review 10.  Diffusion Kurtosis Imaging for Assessing the Therapeutic Response of Transcatheter Arterial Chemoembolization in Hepatocellular Carcinoma.

Authors:  Zhen-Guo Yuan; Zong-Ying Wang; Meng-Ying Xia; Feng-Zhi Li; Yao Li; Zhen Shen; Xi-Zhen Wang
Journal:  J Cancer       Date:  2020-02-10       Impact factor: 4.207

  10 in total

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