Department of Radiology, Center for Advanced Imaging Innovation and Research (CAI2R), Center for Biomedical Imaging, NYU Langone Health, New York, USA.
Siemens Healthcare GmbH, Erlangen, Germany.
MAGMA. 2024 Aug;37(4):671-680. doi: 10.1007/s10334-024-01159-6. Epub 2024 May 4.
Diffusion-weighted MRI is a technique that can infer microstructural and microcirculatory features from biological tissue, with particular application to renal tissue. There is extensive literature on diffusion tensor imaging (DTI) of anisotropy in the renal medulla, intravoxel incoherent motion (IVIM) measurements separating microstructural from microcirculation effects, and combinations of the two. However, interpretation of these features and adaptation of more specific models remains an ongoing challenge. One input to this process is a whole organ distillation of corticomedullary contrast of diffusion metrics, as has been explored for other renal biomarkers.
In this work, we probe the spatial dependence of diffusion MRI metrics with concentrically layered segmentation in 11 healthy kidneys at 3 T. The metrics include those from DTI, IVIM, a combined approach titled "REnal Flow and Microstructure AnisotroPy (REFMAP)", and a multiply encoded model titled "FC-IVIM" providing estimates of fluid velocity and branching length.
Fractional anisotropy decreased from the inner kidney to the outer kidney with the strongest layer correlation in both parenchyma (including cortex and medulla) and medulla with Spearman correlation coefficients and p-values (r, p) of (0.42, <0.001) and (0.37, <0.001), respectively. Also, dynamic parameters derived from the three models significantly decreased with a high correlation from the inner to the outer parenchyma or medulla with (r, p) ranges of (0.46-0.55, <0.001).
These spatial trends might find implications for indirect assessments of kidney physiology and microstructure using diffusion MRI.
弥散加权磁共振成像(DWI)是一种可以从生物组织中推断出微观结构和微循环特征的技术,尤其适用于肾脏组织。目前已有大量关于肾髓质各向异性的弥散张量成像(DTI)、从微观结构和微循环效应中分离出的体素内不相干运动(IVIM)测量、以及两者结合的文献。然而,这些特征的解释和更具体模型的适应仍然是一个持续的挑战。这一过程的一个输入是扩散测量的整个器官皮质-髓质对比的浓缩物,这在其他肾脏生物标志物中已经得到了探索。
在这项工作中,我们在 3T 下用同心分层分割法探测了 11 个健康肾脏的弥散磁共振成像指标的空间依赖性。这些指标包括来自 DTI、IVIM、一个名为“肾脏血流和微观结构各向异性(REFMAP)”的联合方法,以及一个名为“FC-IVIM”的多重编码模型,该模型提供了流体速度和分支长度的估计。
各向异性分数从内肾到外肾逐渐降低,在实质(包括皮质和髓质)和髓质中最强层相关性的斯皮尔曼相关系数和 p 值(r,p)分别为(0.42,<0.001)和(0.37,<0.001)。此外,来自三个模型的动力学参数也随着从内到外实质或髓质的高度相关性而显著降低,范围为(0.46-0.55,<0.001)。
这些空间趋势可能对使用扩散磁共振成像对肾脏生理学和微观结构进行间接评估有一定的意义。