Effects of diffusion time on non-Gaussian diffusion and intravoxel incoherent motion (IVIM) MRI parameters in breast cancer and hepatocellular carcinoma xenograft models

被引:29
作者
Iima, Mami [1 ,2 ]
Nobashi, Tomomi [1 ]
Imai, Hirohiko [3 ]
Koyasu, Sho [1 ,4 ,5 ]
Saga, Tsuneo [1 ]
Nakamoto, Yuji [1 ]
Kataoka, Masako [1 ]
Yamamoto, Akira [1 ]
Matsuda, Tetsuya [3 ]
Togashi, Kaori [1 ]
机构
[1] Kyoto Univ, Dept Diagnost Imaging & Nucl Med, Grad Sch Med, Kyoto, Japan
[2] Kyoto Univ, Hakubi Ctr Adv Res, Kyoto, Japan
[3] Kyoto Univ, Div Syst Informat, Dept Syst Sci, Grad Sch Informat, Kyoto, Japan
[4] Kyoto Univ, Dept Genome Dynam, Ctr Radiat Biol, Canc Cell Biol Lab, Kyoto, Japan
[5] Univ Tokyo, Res Ctr Adv Sci & Technol, Tokyo, Japan
来源
ACTA RADIOLOGICA OPEN | 2018年 / 7卷 / 01期
关键词
Non-Gaussian diffusion MRI; intravoxel incoherent motion (IVIM); kurtosis; breast cancer xenograft model; hepatocellular carcinoma (HCC) xenograft model;
D O I
10.1177/2058460117751565
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Background: Perfusion-related intravoxel incoherent motion (IVIM) and non-Gaussian diffusion magnetic resonance (MR) parameters are becoming important biomarkers for differentiating malignant from benign tumors without contrast agents. However, diffusion-time dependence has rarely been investigated in tumors. Purpose: To investigate the relationship between diffusion time and diffusion parameters in breast cancer and hepatocellular carcinoma xenograft mouse models. Material and Methods: Diffusion-weighted MR images (DWI) were obtained on a 7-T magnetic resonance imaging (MRI) scanner at two different diffusion times (9.6ms and 27.6ms) in human breast cancer (MDA-MB-231) and hepatocellular carcinoma (HepG2 and PLC/PRF/5) xenograft mouse models. Perfusion-related IVIM (fIVIM and D*) and non-Gaussian diffusion (ADC(0) and K) parameters were estimated. Parametric maps of diffusion changes with the diffusion times were generated using a synthetic apparent diffusion coefficient (sADC) obtained from b=438 and 2584s/mm(2). Results: ADC(0) values significantly decreased when diffusion times were changed from 9.6ms to 27.6ms in MDA-MB-231, HepG2, and PLC/PRF/5 groups (P=0.0163, 0.0351, and 0.0170, respectively). K values significantly increased in MDA-MB-231 and HepG2 groups (P<0.0003 and =0.0007, respectively); however, no significant difference was detected in the PLC/PRF/5 group. fIVIM values increased, although not significantly (P=0.164-0.748). The maps of sADC changes showed that diffusion changes with the diffusion time were not homogeneous across tumor tissues. Conclusion: Diffusion MR parameters in both breast cancer and HCC xenograft models were found to be diffusion time-dependent. Our results show that diffusion time is an important parameter to consider when interpreting DWI data.
引用
收藏
页数:8
相关论文
共 20 条
  • [1] Diffusion-Weighted Magnetic Resonance Imaging as a Cancer Biomarker: Consensus and Recommendations
    不详
    [J]. NEOPLASIA, 2009, 11 (02): : 102 - 125
  • [2] A two-pool model to describe the IVIM cerebral perfusion
    Fournet, Gabrielle
    Li, Jing-Rebecca
    Cerjanic, Alex M.
    Sutton, Bradley P.
    Ciobanu, Luisa
    Le Bihan, Denis
    [J]. JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM, 2017, 37 (08) : 2987 - 3000
  • [3] Hepatocellular Carcinoma and Diffusion-Weighted MRI: Detection and Evaluation of Treatment Response
    Gluskin, Jill S.
    Chegai, Fabrizio
    Monti, Serena
    Squillaci, Ettore
    Mannelli, Lorenzo
    [J]. JOURNAL OF CANCER, 2016, 7 (11): : 1565 - 1570
  • [4] Hope TR, 2016, FRONT ONCOL, V6, DOI [10.3389/fonc.2016.00179, 10.3389/fons.2016.00179]
  • [5] Clinical Intravoxel Incoherent Motion and Diffusion MR Imaging: Past, Present, and Future
    Iima, Mami
    Le Bihan, Denis
    [J]. RADIOLOGY, 2016, 278 (01) : 13 - 32
  • [6] Iima M, 2015, INVEST RADIOL, V50, P205, DOI 10.1097/RLI.0000000000000094
  • [7] Characterization of Glioma Microcirculation and Tissue Features Using Intravoxel Incoherent Motion Magnetic Resonance Imaging in a Rat Brain Model
    Iima, Mami
    Reynaud, Olivier
    Tsurugizawa, Tomokazu
    Ciobanu, Luisa
    Li, Jing-Rebecca
    Geffroy, Francoise
    Djemai, Boucif
    Umehana, Masaki
    Le Bihan, Denis
    [J]. INVESTIGATIVE RADIOLOGY, 2014, 49 (07) : 485 - 490
  • [8] Artifacts and pitfalls in diffusion MRI
    Le Bihan, Denis
    Poupon, Cyril
    Amadon, Alexis
    Lethimonnier, Franck
    [J]. JOURNAL OF MAGNETIC RESONANCE IMAGING, 2006, 24 (03) : 478 - 488
  • [9] Dynamic analysis of hepatoma spheroid formation:: roles of E-cadherin and β1-integrin
    Lin, RZ
    Chou, LF
    Chien, CCM
    Chang, HY
    [J]. CELL AND TISSUE RESEARCH, 2006, 324 (03) : 411 - 422
  • [10] Extension of the intravoxel incoherent motion model to non-gaussian diffusion in head and neck cancer
    Lu, Yonggang
    Jansen, Jacobus F. A.
    Mazaheri, Yousef
    Stambuk, Hilda E.
    Koutcher, Jason A.
    Shukla-Dave, Amita
    [J]. JOURNAL OF MAGNETIC RESONANCE IMAGING, 2012, 36 (05) : 1088 - 1096