Hoglund Biomedical Imaging Center, University of Kansas Medical Center, Kansas City, KS, USA.
Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, USA.
Magn Reson Imaging. 2022 Jan;85:108-120. doi: 10.1016/j.mri.2021.10.001. Epub 2021 Oct 13.
Diffusion-weighted imaging (DWI) may aid accurate tumor grading. Decreased diffusivity and increased diffusion heterogeneity measures have been observed in high-grade gliomas using the non-monoexponential models for DWI. However, DWI measures concerning tissue characteristics in terms of pathophysiological and structural changes are yet to be established. Thus, this study aims to investigate the relationship between the diffusion measurements and microstructural changes in the presence of high-grade gliomas using a three-dimensional Monte Carlo simulation with systematic changes of microstructural parameters.
Water diffusion was simulated in a microenvironment along with changes associated with the presence of high-grade gliomas, including increases in cell density, nuclear volume, extracellular volume (VF), and extracellular tortuosity (λ), and changes in membrane permeability (P). DWI signals were simulated using a pulsed gradient spin-echo sequence. The sequence parameters, including the maximum gradient strength and diffusion time, were set to be comparable to those of clinical scanners and advanced human MRI systems. The DWI signals were fitted using the gamma distribution and diffusional kurtosis models with b-values up to 6000 and 2500 s/mm, respectively.
The diffusivity measures (apparent diffusion coefficients (ADC), D of the gamma distribution model and D of the diffusional kurtosis model) decreased with increases in cell density and λ, and a decrease in P. These diffusivity measures increased with increases in nuclear volume and VF. The diffusion heterogeneity measures (σ of the gamma distribution model and K of the diffusional kurtosis model) increased with increases in cell density or nuclear volume at the low P, and a decrease in P. Increased σ was also associated with an increase in VF.
Among simulated microstructural changes, only increases in cell density at low P or decreases in P corresponded to both the decreased diffusivity and increased diffusion heterogeneity measures. The results suggest that increases in cell density at low P or decreases in P may be associated with the diffusion changes observed in high-grade gliomas.
扩散加权成像(DWI)可辅助准确的肿瘤分级。在高级别脑胶质瘤中,已观察到使用非单指数模型的 DWI 时,扩散率降低和扩散异质性指标增加。然而,关于基于病理生理和结构变化的组织特征的 DWI 指标仍有待建立。因此,本研究旨在通过使用具有系统改变微结构参数的三维蒙特卡罗模拟来研究在存在高级别脑胶质瘤的情况下,扩散测量值与微观结构变化之间的关系。
在存在高级别脑胶质瘤的情况下,模拟微环境中的水扩散,包括细胞密度、核体积、细胞外体积(VF)和细胞外曲折度(λ)增加,以及膜通透性(P)改变。使用脉冲梯度回波自旋回波序列模拟 DWI 信号。序列参数,包括最大梯度强度和扩散时间,被设置为与临床扫描仪和高级人体 MRI 系统相媲美。使用伽马分布和扩散峰度模型对 DWI 信号进行拟合,b 值高达 6000 和 2500 s/mm。
扩散率指标(表观扩散系数(ADC)、伽马分布模型的 D 值和扩散峰度模型的 D 值)随细胞密度和 λ的增加而降低,随 P 的降低而降低。这些扩散率指标随核体积和 VF 的增加而增加。扩散异质性指标(伽马分布模型的 σ和扩散峰度模型的 K)在低 P 时随细胞密度或核体积的增加而增加,而 P 的降低则增加。σ 的增加也与 VF 的增加相关。
在所模拟的微结构变化中,只有低 P 时细胞密度的增加或 P 的降低与扩散率降低和扩散异质性增加指标相对应。结果表明,低 P 时细胞密度的增加或 P 的降低可能与高级别脑胶质瘤中观察到的扩散变化有关。