MRI quantification of non-Gaussian water diffusion in normal human kidney: a diffusional kurtosis imaging study

被引:71
|
作者
Huang, Yanqi [1 ,2 ]
Chen, Xin [1 ,2 ]
Zhang, Zhongping [3 ]
Yan, Lifen [1 ]
Pan, Dan [1 ,2 ]
Liang, Changhong [1 ]
Liu, Zaiyi [1 ]
机构
[1] Guangdong Acad Med Sci, Guangdong Gen Hosp, Dept Radiol, Guangzhou 510080, Guangdong, Peoples R China
[2] Southern Med Univ, Grad Coll, Guangzhou, Guangdong, Peoples R China
[3] GE Healthcare China, Guangzhou, Guangdong, Peoples R China
关键词
diffusional kurtosis imaging; non-Gaussian diffusion; diffusion tensor imaging; human kidney; INTRAVOXEL INCOHERENT MOTION; WEIGHTED MRI; WHITE-MATTER; REPEATABILITY; REGISTRATION; COEFFICIENT; PARAMETERS; ANISOTROPY; HYDRATION; TENSORS;
D O I
10.1002/nbm.3235
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
Our aim was to prospectively evaluate the feasibility of diffusional kurtosis imaging (DKI) in normal human kidney and to report preliminary DKI measurements. Institutional review board approval and informed consent were obtained. Forty-two healthy volunteers underwent diffusion-weighted imaging (DWI) scans with a 3-T MR scanner. b values of 0, 500 and 1000s/mm(2) were adopted. Maps of fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (D-perpendicular to), axial diffusivity (D-||), mean kurtosis (MK), radial kurtosis (K-perpendicular to) and axial kurtosis (K-||) were produced. Three representative axial slices in the upper pole, mid-zone and lower pole were selected in the left and right kidney. On each selected slice, three regions of interest were drawn on the renal cortex and another three on the medulla. Statistical comparison was performed with t-test and analysis of variance. Thirty-seven volunteers successfully completed the scans. No statistically significant differences were observed between the left and right kidney for all metrics (p values in the cortex: FA, 0.114; MD, 0.531; D-perpendicular to, 0.576; D-||, 0.691; MK, 0.934; K-perpendicular to, 0.722; K-||, 0.891; p values in the medulla: FA, 0.348; MD, 0.732; D-perpendicular to, 0.470; D-||, 0.289; MK, 0.959; K-perpendicular to, 0.780; K-||, 0.287). Kurtosis metrics (MK, K-||, K-perpendicular to) obtained in the renal medulla were significantly (p <0.001) higher than those in the cortex (0.552 +/- 0.04, 0.637 +/- 0.07 and 0.530 +/- 0.08 in the medulla and 0.373 +/- 0.04, 0.492 +/- 0.06 and 0.295 +/- 0.06 in the cortex, respectively). For the diffusivity measures, FA of the medulla (0.356 +/- 0.03) was higher than that of the cortex (0.179 +/- 0.03), whereas MD, D-perpendicular to and D-|| (mm(2)/ms) were lower in the medulla than in the cortex (3.88 +/- 0.09, 3.50 +/- 0.23 and 4.65 +/- 0.29 in the cortex and 2.88 +/- 0.11, 2.32 +/- 0.20 and 3.47 +/- 0.31 in the medulla, respectively). Our results indicate that DKI is feasible in the human kidney. We have reported the preliminary DKI measurements of normal human kidney that demonstrate well the non-Gaussian behavior of water diffusion, especially in the renal medulla. Copyright (c) 2014 John Wiley & Sons, Ltd.
引用
收藏
页码:154 / 161
页数:8
相关论文
共 50 条
  • [31] Non-Gaussian normal diffusion in low dimensional systems
    Qingqing Yin
    Yunyun Li
    Fabio Marchesoni
    Subhadip Nayak
    Pulak KGhosh
    Frontiers of Physics, 2021, 16 (03) : 102 - 115
  • [32] Non-Gaussian normal diffusion in low dimensional systems
    Qingqing Yin
    Yunyun Li
    Fabio Marchesoni
    Subhadip Nayak
    Pulak K. Ghosh
    Frontiers of Physics, 2021, 16
  • [33] Non-Gaussian normal diffusion in a fluctuating corrugated channel
    Li, Yunyun
    Marchesoni, Fabio
    Debnath, Debajyoti
    Ghosh, Pulak K.
    PHYSICAL REVIEW RESEARCH, 2019, 1 (03):
  • [34] Uterine Cervical Carcinoma: Evaluation Using Non-Gaussian Diffusion Kurtosis Imaging and Its Correlation With Histopathological Findings
    Yamada, Ichiro
    Oshima, Noriko
    Wakana, Kimio
    Miyasaka, Naoyuki
    Wakabayashi, Akira
    Sakamoto, Junichiro
    Saida, Yukihisa
    Tateishi, Ukihide
    Kobayashi, Daisuke
    JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 2021, 45 (01) : 29 - 36
  • [35] Non-Gaussian normal diffusion in low dimensional systems
    Yin, Qingqing
    Li, Yunyun
    Marchesoni, Fabio
    Nayak, Subhadip
    Ghosh, Pulak K.
    FRONTIERS OF PHYSICS, 2021, 16 (03)
  • [36] Non-Gaussian diffusion imaging: a brief practical review
    De Santis, Silvia
    Gabrielli, Andrea
    Palombo, Marco
    Maraviglia, Bruno
    Capuani, Silvia
    MAGNETIC RESONANCE IMAGING, 2011, 29 (10) : 1410 - 1416
  • [37] Study on the non-Gaussian ocean ambient noise model with certain kurtosis
    Song, Guoli
    Guo, Xinyi
    Ma, Li
    Shengxue Xuebao/Acta Acustica, 2019, 44 (05): : 887 - 896
  • [38] Non-Gaussian water diffusion in aging white matter
    Coutu, Jean-Philippe
    Chen, J. Jean
    Rosas, H. Diana
    Salat, David H.
    NEUROBIOLOGY OF AGING, 2014, 35 (06) : 1412 - 1421
  • [39] Non-Gaussian diffusion in human brain tissue at high b-factors as examined by a combined diffusion kurtosis and biexponential diffusion tensor analysis
    Grinberg, Farida
    Farrher, Ezequiel
    Kaffanke, Joachim
    Oros-Peusquens, Ana-Maria
    Shah, N. Jon
    NEUROIMAGE, 2011, 57 (03) : 1087 - 1102
  • [40] A preliminary diffusional kurtosis imaging study of Parkinson disease: comparison with conventional diffusion tensor imaging
    Koji Kamagata
    Hiroyuki Tomiyama
    Taku Hatano
    Yumiko Motoi
    Osamu Abe
    Keigo Shimoji
    Kouhei Kamiya
    Michimasa Suzuki
    Masaaki Hori
    Mariko Yoshida
    Nobutaka Hattori
    Shigeki Aoki
    Neuroradiology, 2014, 56 : 251 - 258