Share:
Share this content in WeChat
X
Clinical Article
Application of the magnetic resonance kurtosis imaging on human kidneys
CHENG Zhongyuan  FENG Youzhen  YE Yaojiang  HU Junjiao  CAI Xiangran 

Cite this article as: Cheng ZY, Feng YZ, Ye YJ, et al. Application of the magnetic resonance kurtosis imaging on human kidneys. Chin J Magn Reson Imaging, 2019, 10(1): 37-41. DOI:10.12015/issn.1674-8034.2019.01.007.


[Abstract] Objective: To investigate the feasibility of magnetic resonance diffusion kurtosis imaging (DKI) applies on human kidneys.Materials and Methods: Thirty healthy male volunteers were recruited in our hospital from March 2016 to February 2017. The MR examination was performed in the coronal plane with a 3.0 T MR scanner. The scanning sequences included T1WI, T2WI and DKI. The DKI sequence used three different b values (0, 500 s/mm2, 1000 s/mm2) and 30 diffusion-sensitive gradient directions. The paired-samples t test was used to compare the DKI parameters of the renal cortex and medulla. The correlated between all parameters with estimated glomerular filtration rate (eGFR) were calculated.Results: The mean kurtosis (MK), axial kurtosis (Ka) and radial kurtosis (Kr) values in renal cortex were greater than those in renal medulla (P<0.05). The fractional anisotropy (FA) and axial diffusion (Da) values of renal cortex were significantly lower than those of renal medulla (P<0.05), while the mean diffusion (MD) and radial diffusion (Dr) values of renal cortex were greater than those of renal medulla (P<0.05).Conclusions: DKI is feasible in human kidney. It can reflect the water molecule diffusion differences between the renal cortex and medulla. Furthermore, its unique kurtosis parameters can also provide microstructure information on renal cortex and medulla.
[Keywords] kidney;diffusion-weighted imaging;diffusion kurtosis imaging;magnetic resonance imaging

CHENG Zhongyuan Medical Imaging Center, the First Affiliated Hospital of Jinan University , Guangzhou 510630, China

FENG Youzhen Medical Imaging Center, the First Affiliated Hospital of Jinan University , Guangzhou 510630, China

YE Yaojiang Medical Imaging Center, the First Affiliated Hospital of Jinan University , Guangzhou 510630, China

HU Junjiao Medical Imaging Center, the First Affiliated Hospital of Jinan University , Guangzhou 510630, China

CAI Xiangran* Medical Imaging Center, the First Affiliated Hospital of Jinan University , Guangzhou 510630, China

*Correspondence to: Cai XR, E-mail: caixran@jnu.edu.cn

Conflicts of interest   None.

ACKNOWLEDGMENTS  Nature Science Foundation of Guangdong No. 2017A030313901 Science and Technology Project of Guangzhou No. 201804010239
Received  2018-07-17
Accepted  2018-11-20
DOI: 10.12015/issn.1674-8034.2019.01.007
Cite this article as: Cheng ZY, Feng YZ, Ye YJ, et al. Application of the magnetic resonance kurtosis imaging on human kidneys. Chin J Magn Reson Imaging, 2019, 10(1): 37-41. DOI:10.12015/issn.1674-8034.2019.01.007.

[1]
Notohamiprodjo M, Reiser MF, Sourbron SP. Diffusion and perfusion of the kidney. Eur J Radiol, 2010, 76(3): 337-347.
[2]
Zhang JL, Rusinek H, Chandarana H, et al. Functional MRI of the kidneys. J Magn Reson Imaging, 2013, 37(2): 282-293.
[3]
黄海波.肾脏血氧水平依赖性成像研究进展.磁共振成像, 2017, 8(8):636-640.
[4]
Jensen JH, Helpern JA, Ramani A, et al. Diffusional kurtosis imaging: the quantification of non-gaussian water diffusion by means of magnetic resonance imaging. Magn Reson Med, 2005, 53(6): 1432-1440.
[5]
张家慧,郎宁,袁慧书.磁共振扩散峰度成像的临床研究进展.磁共振成像, 2018(4): 316-320.
[6]
Panagiotaki E, Chan RW, Dikaios N, et al. Microstructural characterization of normal and malignant human prostate tissue with vascular, extracellular, and restricted diffusion for cytometry in tumours magnetic resonance imaging. Invest Radiol, 2015, 50(4): 218-227.
[7]
Quentin M, Pentang G, Schimmöller L, et al. Feasibility of diffusional kurtosis tensor imaging in prostate MRI for the assessment of prostate cancer: preliminary results. Magn Reson Imaging, 2014, 32(7): 880-885.
[8]
Suo S, Chen X, Wu L, et al. Non-Gaussian water diffusion kurtosis imaging of prostate cancer. Magn Reson Imaging, 2014, 32(5): 421.
[9]
Sheng RF, Wang HQ, Yang L, et al. Diffusion kurtosis imaging and diffusion-weighted imaging in assessment of liver fibrosis stage and necroinflammatory activity. Abdom Radiol, 2017, 42(4): 1176-1182.
[10]
Goshima S, Kanematsu M, Noda Y, et al. Diffusion kurtosis imaging to assess response to treatment in hypervascular hepatocellular carcinoma. AJR Am J Roentgenol, 2015, 204(5): 543-549.
[11]
Huang Y, Chen X, Zhang Z, et al. MRI quantification of non-Gaussian water diffusion in normal human kidney: a diffusional kurtosis imaging study. NMR Biomed, 2015, 28(2): 154-161.
[12]
Pentang G, Lanzman RS, Heusch P, et al. Diffusion kurtosis imaging of the human kidney: a feasibility study. Magn Reson Imaging, 2014, 32(5): 413-420.
[13]
曲丽洁,周建军,丁玉芹,等.磁共振体素内不相干运动成像和扩散峰度成像在正常肾脏成像中的初步研究.放射学实践, 2016, 31(10): 908-913.
[14]
Le Bihan D. Apparent diffusion coefficient and beyond: what diffusion MR imaging can tell us about tissue structure. Radiology, 2013, 268(2): 318-322.
[15]
Filli L, Wurnig M, Nanz D, et al. Whole-body diffusion kurtosis imaging: initial experience on non-Gaussian diffusion in various organs. Invest Radiol, 2014, 49(12): 773-778.
[16]
Rosenkrantz AB, Padhani AR, Chenevert TL, et al. Body diffusion kurtosis imaging: Basic principles, applications, and considerations for clinical practice. J Magn Reson Imaging, 2015, 42(5): 1190-1202.
[17]
Jensen JH, Helpern JA. MRI quantification of non-Gaussian water diffusion by kurtosis analysis. NMR Biomed, 2010, 23(7): 698-710.
[18]
Thoeny HC, Zumstein D, Simon-Zoula S, et al. Functional evaluation of transplanted kidneys with diffusion-weighted and BOLD MR imaging: initial experience. Radiology, 2006, 241(3): 812-821.
[19]
Sigmund EE, Vivier PH, Sui D, et al. Intravoxel incoherent motion and diffusion-tensor imaging in renal tissue under hydration and furosemide flow challenges. Radiology, 2012, 263(3): 758.
[20]
Kataoka M, Kido A, Yamamoto A, et al. Diffusion tensor imaging of kidneys with respiratory triggering: optimization of parameters to demonstrate anisotropic structures on fraction anisotropy maps. J Magn Reson Imaging, 2009, 29(3): 736-744.
[21]
Chandarana H, Lee VS, Hecht E, et al. Comparison of biexponential and monoexponential model of diffusion weighted imaging in evaluation of renal lesions: preliminary experience.. Invest Radiol, 2011, 46(46): 285-291.

PREV Diagnostic value of MRI in non-lactation mastitis lesions
NEXT Analysis of magnetic resonance imaging findings and clinicopathologic features of sacral Schwannoma
  



Tel & Fax: +8610-67113815    E-mail: editor@cjmri.cn