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:32
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
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 [J].
不详 .
NEOPLASIA, 2009, 11 (02) :102-125
[2]   A two-pool model to describe the IVIM cerebral perfusion [J].
Fournet, Gabrielle ;
Li, Jing-Rebecca ;
Cerjanic, Alex M. ;
Sutton, Bradley P. ;
Ciobanu, Luisa ;
Le Bihan, Denis .
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 [J].
Gluskin, Jill S. ;
Chegai, Fabrizio ;
Monti, Serena ;
Squillaci, Ettore ;
Mannelli, Lorenzo .
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 [J].
Iima, Mami ;
Le Bihan, Denis .
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 [J].
Iima, Mami ;
Reynaud, Olivier ;
Tsurugizawa, Tomokazu ;
Ciobanu, Luisa ;
Li, Jing-Rebecca ;
Geffroy, Francoise ;
Djemai, Boucif ;
Umehana, Masaki ;
Le Bihan, Denis .
INVESTIGATIVE RADIOLOGY, 2014, 49 (07) :485-490
[8]   Artifacts and pitfalls in diffusion MRI [J].
Le Bihan, Denis ;
Poupon, Cyril ;
Amadon, Alexis ;
Lethimonnier, Franck .
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2006, 24 (03) :478-488
[9]   Dynamic analysis of hepatoma spheroid formation:: roles of E-cadherin and β1-integrin [J].
Lin, RZ ;
Chou, LF ;
Chien, CCM ;
Chang, HY .
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 [J].
Lu, Yonggang ;
Jansen, Jacobus F. A. ;
Mazaheri, Yousef ;
Stambuk, Hilda E. ;
Koutcher, Jason A. ;
Shukla-Dave, Amita .
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2012, 36 (05) :1088-1096