Signal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Radiology Department, Centre Hospitalier Universitaire Vaudois (CHUV) and University of Lausanne (UNIL) (CHUV-UNIL), Lausanne, Switzerland.
Magn Reson Med. 2023 Oct;90(4):1625-1640. doi: 10.1002/mrm.29720. Epub 2023 Jun 6.
Biophysical models of diffusion MRI have been developed to characterize microstructure in various tissues, but existing models are not suitable for tissue composed of permeable spherical cells. In this study we introduce Cellular Exchange Imaging (CEXI), a model tailored for permeable spherical cells, and compares its performance to a related Ball & Sphere (BS) model that neglects permeability.
We generated DW-MRI signals using Monte-Carlo simulations with a PGSE sequence in numerical substrates made of spherical cells and their extracellular space for a range of membrane permeability. From these signals, the properties of the substrates were inferred using both BS and CEXI models.
CEXI outperformed the impermeable model by providing more stable estimates cell size and intracellular volume fraction that were diffusion time-independent. Notably, CEXI accurately estimated the exchange time for low to moderate permeability levels previously reported in other studies ( ). However, in highly permeable substrates ( ), the estimated parameters were less stable, particularly the diffusion coefficients.
This study highlights the importance of modeling the exchange time to accurately quantify microstructure properties in permeable cellular substrates. Future studies should evaluate CEXI in clinical applications such as lymph nodes, investigate exchange time as a potential biomarker of tumor severity, and develop more appropriate tissue models that account for anisotropic diffusion and highly permeable membranes.
扩散 MRI 的生物物理模型已经被开发出来以用于描述各种组织的微观结构,但现有的模型并不适用于由可渗透的球形细胞组成的组织。在本研究中,我们引入了细胞交换成像(CEXI),这是一种专门针对可渗透球形细胞的模型,并将其性能与忽略渗透性的相关球和球(BS)模型进行比较。
我们使用蒙特卡罗模拟在数值基质中生成 DW-MRI 信号,这些基质由球形细胞及其细胞外空间组成,膜渗透性范围广泛。根据这些信号,使用 BS 和 CEXI 模型来推断基质的性质。
CEXI 通过提供更稳定的估计细胞大小和细胞内体积分数的估计值,且这些值与扩散时间无关,从而优于不可渗透模型。值得注意的是,CEXI 可以准确地估计在其他研究中报道的低到中等渗透性水平( )的交换时间。然而,在高度可渗透的基质中( ),估计的参数稳定性较差,特别是扩散系数。
本研究强调了在可渗透细胞基质中准确量化微观结构特性时,对交换时间进行建模的重要性。未来的研究应在诸如淋巴结等临床应用中评估 CEXI,研究交换时间作为肿瘤严重程度的潜在生物标志物,并开发更合适的组织模型,以考虑各向异性扩散和高度可渗透的膜。