Barnes Stephanie L, Quarles C Chad, Yankeelov Thomas E
Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, Tennessee, United States of America; Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, Tennessee, United States of America.
Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, Tennessee, United States of America; Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, Tennessee, United States of America; Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, United States of America; Department of Physics and Astronomy, Vanderbilt University, Nashville, Tennessee, United States of America; Department of Cancer Biology, Vanderbilt University, Nashville, Tennessee, United States of America; Vanderbilt-Ingram Cancer Center, Vanderbilt University, Nashville, Tennessee, United States of America; Program in Chemical and Physical Biology, Vanderbilt University, Nashville, Tennessee, United States of America.
PLoS One. 2014 Oct 2;9(9):e108726. doi: 10.1371/journal.pone.0108726. eCollection 2014.
Quantitative dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) provides estimates of physiologically relevant parameters related to tissue blood flow, vascular permeability, and tissue volume fractions which can then be used for prognostic and diagnostic reasons. However, standard techniques for DCE-MRI analysis ignore intra-voxel diffusion, which may play an important role in contrast agent distribution and voxel signal intensity and, thus, will affect quantification of the aforementioned parameters. To investigate the effect of intra-voxel diffusion on quantitative DCE-MRI, we developed a finite element model of contrast enhancement at the voxel level. For diffusion in the range of that expected for gadolinium chelates in tissue (i.e., 1 × 10(-4) to 4 × 10(-4) mm(2)/s), parameterization errors range from -58% to 12% for K(trans), -9% to 8% for ve, and -60% to 213% for vp over the range of K(trans), v(e), v(p), and temporal resolutions investigated. Thus the results show that diffusion has a significant effect on parameterization using standard techniques.
定量动态对比增强磁共振成像(DCE-MRI)可提供与组织血流、血管通透性和组织体积分数相关的生理相关参数估计值,这些参数随后可用于预后和诊断。然而,DCE-MRI分析的标准技术忽略了体素内扩散,而体素内扩散可能在造影剂分布和体素信号强度中起重要作用,因此会影响上述参数的量化。为了研究体素内扩散对定量DCE-MRI的影响,我们开发了一个体素水平的对比增强有限元模型。对于组织中钆螯合物预期范围内的扩散(即1×10^(-4)至4×10^(-4) mm²/s),在所研究的K(trans)、v(e)、v(p)和时间分辨率范围内,K(trans)的参数化误差范围为-58%至12%,ve的参数化误差范围为-9%至8%,vp的参数化误差范围为-60%至213%。因此,结果表明扩散对使用标准技术的参数化有显著影响。