Intravoxel incoherent motion diffusion-weighted imaging in head and neck squamous cell carcinoma: Assessment of perfusion-related parameters compared to dynamic contrast-enhanced MRI
Intravoxel incoherent motion diffusion-weighted imaging in head and neck squamous cell carcinoma: Assessment of perfusion-related parameters compared to dynamic contrast-enhanced MRI
复制标题
DOI：
10.1016/j.mri.2014.08.009
复制
发表时间：
2014-12-01
影响因子：
2.5
通讯作者：
Shirato, Hiroki
中科院分区：
文献类型：
--
作者：
Fujima, Noriyuki;Yoshida, Daisuke;Shirato, Hiroki
目的：研究头颈部鳞状细胞癌（HNSCC）患者中采用体素内非相干运动（IVIM）获得的灌注相关参数与采用动态对比增强（DCE）磁共振成像获得的经典灌注参数之间的相关性，并比较直接和渐近拟合、逐像素方法，材料与方法：回顾性研究17例HNSCC患者的IVIM参数。所有病例均采用3 T MR机进行磁共振扫描。IVIM的采集使用单次激发自旋回波回波平面成像，采用三个正交梯度，12个b值（0、10、20、30、50、80、100、200、400、800、1000和2000）。分别采用直接拟合和渐近拟合两种拟合方法，采用最小二乘法拟合IVIM数据，计算灌注相关参数灌注分数f和伪扩散系数D*。在总共64个动态相位中进行DCE灌注，相位间隔为3.2-s。采用二室交换模型定量肿瘤血容量（TBV）和肿瘤血流量（TBF）。每个肿瘤用多边形ROI描绘，用于使用逐像素方法和基于ROI的方法计算f，f中心点D*。在逐像素方法中，在拟合每个像素以获得f，f中心点D* 图之后，计算这些图上描绘的ROI中的平均值。在基于ROI的方法中，计算IVIM图像中每个b值的ROI内信号强度的平均值，然后使用这些值进行拟合。使用Pearson相关系数分别分析了总共四种组合（直接或渐近拟合和逐像素或基于ROI的方法）与TBV之间的相关性。结果：在所有f值与TBV值的组合中，f中心点D * 值与TBF值均呈显著相关。在f和TBV的比较中，仅在通过直接拟合与逐像素方法获得的f之间观察到中度相关性，而在使用其他三种组合的比较中观察到良好的相关性。在f中心点D* 和TBF的比较中，仅观察到与通过使用基于ROI的方法的渐近拟合获得的f中心点D* 的良好相关性。与此相反，中度相关性，观察比较使用其他三个combination.Conclusion：IVIM被认为是可行的灌注相关参数在HNSCC患者的分析。特别是，渐近拟合与基于ROI的方法的组合与DCE灌注更好地相关。(C)2014爱思唯尔公司All rights reserved.
Purpose: To investigate the correlation between perfusion-related parameters obtained with intravoxel incoherent motion (IVIM) and classical perfusion parameters obtained with dynamic contrast-enhanced (DCE) magnetic resonance imaging in patients with head and neck squamous cell carcinoma (HNSCC), and to compare direct and asymptotic fitting, the pixel-by-pixel approach, and a region of interest (ROI)-based approach respectively for IVIM parameter calculation.Materials and methods: Seventeen patients with HNSCC were included in this retrospective study. All magnetic resonance (MR) scanning was performed using a 3 T MR unit. Acquisition of IVIM was performed using single-shot spin-echo echo-planar imaging with three orthogonal gradients with 12 b-values (0, 10, 20, 30, 50, 80, 100, 200, 400, 800, 1000, and 2000). Perfusion-related parameters of perfusion fraction 'f' and the pseudo-diffusion coefficient 'D*' were calculated from IVIM data by using least square fitting with the two fitting methods of direct and asymptotic fitting, respectively. DCE perfusion was performed in a total of 64 dynamic phases with a 3.2-s phase interval. The two-compartment exchange model was used for the quantification of tumor blood volume (TBV) and tumor blood flow (TBF). Each tumor was delineated with a polygonal ROI for the calculation of f, f center dot D* performed using both the pixel-by-pixel approach and the ROI-based approach. In the pixel-by-pixel approach, after fitting each pixel to obtain f, f center dot D* maps, the mean value in the delineated ROI on these maps was calculated. In the ROI-based approach, the mean value of signal intensity was calculated within the ROI for each b-value in IVIM images, and then fitting was performed using these values. Correlations between fin a total of four combinations (direct or asymptotic fitting and pixel-by-pixel or ROI-based approach) and TBV were respectively analyzed using Pearson's correlation coefficients. Correlations between f center dot D* and TBF were also similarly analyzed.Results: In all combinations of f and TBV, f center dot D* and TBF, there was a significant correlation. In the comparison of f and TBV, a moderate correlation was observed only between f obtained by direct fitting with the pixel-by-pixel approach, whereas a good correlation was observed in the comparisons using the other three combinations. In the comparison of f center dot D* and TBF, a good correlation was observed only with f center dot D* obtained by asymptotic fitting with the ROI-based approach. In contrast, moderate correlations were observed in the comparisons using the other three combinations.Conclusion: IVIM was found to be feasible for the analysis of perfusion-related parameters in patients with HNSCC. Especially, the combination of asymptotic fitting with the ROI-based approach was better correlated with DCE perfusion. (C) 2014 Elsevier Inc. All rights reserved.