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European Radiology

, Volume 29, Issue 12, pp 6930–6939 | Cite as

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

  • Yuqin Ding
  • Qinxuan Tan
  • Wei Mao
  • Chenchen Dai
  • Xiaoyi Hu
  • Jun Hou
  • Mengsu ZengEmail author
  • Jianjun ZhouEmail author
Urogenital

Abstract

Objective

To quantitatively compare the diagnostic values of conventional diffusion-weighted imaging (DWI), intravoxel incoherent motion (IVIM), and diffusion kurtosis imaging (DKI) in differentiating between malignant and benign renal tumors.

Methods

Multiple b value DWIs and DKIs were performed in 180 patients with renal tumors, which were divided into clear cell renal cell carcinoma (ccRCC), non-ccRCC, and benign renal tumor group. The apparent diffusion coefficient (ADC), true diffusivity (D), pseudo-diffusion coefficient (D*), perfusion fraction (f), mean kurtosis (MK), and mean diffusivity (MD) maps were calculated. The diagnostic efficacy of various diffusion parameters for predicting malignant renal tumors was compared.

Results

The ADC, D, and MD values of ccRCCs were higher, while D*, f, and MK values were lower than those of benign renal tumors (all p < 0.025). The D* and f values of non-ccRCCs were lower than those of benign renal tumors (p = 0.002 and p < 0.001, respectively). The difference of ADC, D, MD, and MK values between non-ccRCCs and benign renal tumors was not statistically significant (p > 0.05). The ADC, D, MD, and f values of ccRCCs were higher, while MK values were lower than those of non-ccRCCs (all p < 0.001). The AUC values of ADC, D, D*, f, MK, and MD were 0.849, 0.891, 0.708, 0.656, 0.862, and 0.838 for differentiating ccRCCs from benign renal tumors, respectively. The AUC values of D* and f were 0.772 and 0.866 for discrimination between non-ccRCCs and benign renal tumors, respectively.

Conclusion

IVIM parameters are the best, while DWI and DKI parameters have similar performance in differentiating malignant and benign renal tumors.

Key Points

• The D value is the best parameter for differentiating ccRCC from benign renal tumors.

• The f value is the best parameter for differentiating non-ccRCC from benign renal tumors.

• Conventional DWI and DKI have similar performance in differentiating malignant and benign renal tumors.

Keywords

Renal neoplasms Diffusion-weighted MRI Intravoxel incoherent motion Diffusion kurtosis imaging Differential diagnosis 

Abbreviations

ADC

Apparent diffusion coefficient

AUC

Areas under the curves

ccRCC

Clear cell renal cell carcinoma

CI

Confidence interval

D

True diffusivity

D*

Pseudo-diffusion coefficient

DKI

Diffusion kurtosis imaging

DWI

Diffusion-weighted imaging

f

Perfusion fraction

ICC

Intraclass correlation coefficient

IVIM

Intravoxel incoherent motion

MD

Mean diffusivity

MK

Mean kurtosis

non-ccRCC

Non-clear cell renal cell carcinoma

ROC

Receiver operating characteristic

ROI

Region of interest

SPIR

Spectral presaturation inversion recovery

TE

Echo time

TR

Repetition time

Notes

Acknowledgements

We thank Caixia Fu (Siemens Healthcare) for providing the prototype diffusion sequence used in this study and for the excellent technical support.

Funding

This study has received funding by the Educational Specialist Training Fund (No.002) from Zhongshan Hospital, Fudan University.

Compliance with ethical standards

Guarantor

The scientific guarantor of this publication is Jianjun Zhou.

Conflict of interest

The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.

Statistics and biometry

No complex statistical methods were necessary for this paper.

Informed consent

Written informed consent was waived by the Institutional Review Board.

Ethical approval

Institutional Review Board approval was obtained.

Methodology

• retrospective

• cross-sectional study/diagnostic study

• performed at one institution

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Copyright information

© European Society of Radiology 2019

Authors and Affiliations

  1. 1.Department of Radiology, Zhongshan HospitalFudan University; Shanghai Institute of Medical ImagingShanghaiPeople’s Republic of China
  2. 2.Department of Urology, Zhongshan HospitalFudan UniversityShanghaiPeople’s Republic of China
  3. 3.Department of Pathology, Zhongshan HospitalFudan UniversityShanghaiPeople’s Republic of China

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