Iima Mami, Nobashi Tomomi, Imai Hirohiko, Koyasu Sho, Saga Tsuneo, Nakamoto Yuji, Kataoka Masako, Yamamoto Akira, Matsuda Tetsuya, Togashi Kaori
Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
The Hakubi Center for Advanced Research, Kyoto University, Kyoto, Japan.
Acta Radiol Open. 2018 Jan 11;7(1):2058460117751565. doi: 10.1177/2058460117751565. eCollection 2018 Jan.
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.
To investigate the relationship between diffusion time and diffusion parameters in breast cancer and hepatocellular carcinoma xenograft mouse models.
Diffusion-weighted MR images (DWI) were obtained on a 7-T magnetic resonance imaging (MRI) scanner at two different diffusion times (9.6 ms and 27.6 ms) 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 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 2584 s/mm.
ADC values significantly decreased when diffusion times were changed from 9.6 ms to 27.6 ms in MDA-MB-231, HepG2, and PLC/PRF/5 groups ( = 0.0163, 0.0351, and 0.0170, respectively). K values significantly increased in MDA-MB-231 and HepG2 groups ( < 0.0003 and = 0.0007, respectively); however, no significant difference was detected in the PLC/PRF/5 group. fIVIM values increased, although not significantly ( = 0.164-0.748). The maps of sADC changes showed that diffusion changes with the diffusion time were not homogeneous across tumor tissues.
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.
灌注相关的体素内不相干运动(IVIM)和非高斯扩散磁共振(MR)参数正成为无需使用对比剂就能区分恶性肿瘤与良性肿瘤的重要生物标志物。然而,肿瘤中扩散时间依赖性很少被研究。
研究乳腺癌和肝癌异种移植小鼠模型中扩散时间与扩散参数之间的关系。
在7-T磁共振成像(MRI)扫描仪上,于两种不同扩散时间(9.6毫秒和27.6毫秒)获取人乳腺癌(MDA-MB-231)和肝癌(HepG2和PLC/PRF/5)异种移植小鼠模型的扩散加权MR图像(DWI)。估计灌注相关的IVIM(fIVIM和D*)和非高斯扩散(ADC和K)参数。使用从b = 438和2584 s/mm²获得的合成表观扩散系数(sADC)生成扩散参数随扩散时间变化的参数图。
在MDA-MB-231、HepG2和PLC/PRF/5组中,当扩散时间从9.6毫秒变为27.6毫秒时,ADC值显著降低(分别为P = 0.0163、0.0351和0.0170)。MDA-MB-231和HepG2组的K值显著增加(分别为P < 0.0003和P = 0.0007);然而,PLC/PRF/5组未检测到显著差异。fIVIM值增加,尽管不显著(P = 0.164 - 0.748)。sADC变化图显示,扩散参数随扩散时间的变化在肿瘤组织中并非均匀。
在乳腺癌和肝癌异种移植模型中均发现扩散MR参数具有扩散时间依赖性。我们的结果表明,在解释DWI数据时,扩散时间是一个需要考虑的重要参数。