3.8 Article

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

Journal

ACTA RADIOLOGICA OPEN
Volume 7, Issue 1, Pages -

Publisher

SAGE PUBLICATIONS LTD
DOI: 10.1177/2058460117751565

Keywords

Non-Gaussian diffusion MRI; intravoxel incoherent motion (IVIM); kurtosis; breast cancer xenograft model; hepatocellular carcinoma (HCC) xenograft model

Funding

  1. Hakubi Project
  2. JSPS [15K19786]
  3. Grants-in-Aid for Scientific Research [17J07699, 15K19786] Funding Source: KAKEN

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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.

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