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通过对水扩散的数值模拟评估细胞组织特性对 ADC 测量的影响。

Assessment of the effects of cellular tissue properties on ADC measurements by numerical simulation of water diffusion.

机构信息

Biomedical Engineering Program, University of Arizona, Tucson, Arizona 85721, USA.

出版信息

Magn Reson Med. 2009 Dec;62(6):1414-22. doi: 10.1002/mrm.22155.

DOI:10.1002/mrm.22155
PMID:19785014
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2855231/
Abstract

The apparent diffusion coefficient (ADC), as measured by diffusion-weighted MRI, has proven useful in the diagnosis and evaluation of ischemic stroke. The ADC of tissue water is reduced by 30-50% following ischemia and provides excellent contrast between normal and affected tissue. Despite its clinical utility, there is no consensus on the biophysical mechanism underlying the reduction in ADC. In this work, a numerical simulation of water diffusion is used to predict the effects of cellular tissue properties on experimentally measured ADC. The model indicates that the biophysical mechanisms responsible for changes in ADC postischemia depend upon the time over which diffusion is measured. At short diffusion times, the ADC is dependent upon the intrinsic intracellular diffusivity, while at longer, clinically relevant diffusion times, the ADC is highly dependent upon the cell volume fraction. The model also predicts that at clinically relevant diffusion times, the 30-50% drop in ADC after ischemia can be accounted for by cell swelling alone when intracellular T(2) is allowed to be shorter than extracellular T(2).

摘要

表观扩散系数(ADC),通过扩散加权磁共振成像(DWI)测量,已被证明在缺血性脑卒中的诊断和评估中有一定的作用。组织水的 ADC 在缺血后降低 30-50%,从而在正常组织和病变组织之间提供了极好的对比度。尽管具有临床实用性,但对于 ADC 降低的基础生物物理机制尚未达成共识。在这项工作中,使用水扩散的数值模拟来预测细胞组织特性对实验测量 ADC 的影响。该模型表明,缺血后 ADC 变化的生物物理机制取决于扩散测量的时间。在较短的扩散时间内,ADC 取决于细胞内固有扩散率,而在较长的、临床上相关的扩散时间内,ADC 高度依赖于细胞体积分数。该模型还预测,在临床上相关的扩散时间内,当允许细胞内 T2 短于细胞外 T2 时,仅通过细胞肿胀即可解释缺血后 ADC 降低 30-50%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcf4/2855231/0a7da7696324/nihms-192400-f0008.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcf4/2855231/0a7da7696324/nihms-192400-f0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcf4/2855231/7bec6ef51f28/nihms-192400-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcf4/2855231/6b78571dc78b/nihms-192400-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcf4/2855231/78dcb2d1d25f/nihms-192400-f0003.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcf4/2855231/cd2814e49eed/nihms-192400-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcf4/2855231/e3c8eefc9ae9/nihms-192400-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcf4/2855231/bfa32cf4070c/nihms-192400-f0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcf4/2855231/0a7da7696324/nihms-192400-f0008.jpg

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本文引用的文献

1
Ischemia-induced changes of intracellular water diffusion in rat glioma cell cultures.大鼠胶质瘤细胞培养中缺血诱导的细胞内水扩散变化。
Magn Reson Med. 2008 Aug;60(2):258-64. doi: 10.1002/mrm.21616.
2
Microstructural changes in ischemic cortical gray matter predicted by a model of diffusion-weighted MRI.通过扩散加权磁共振成像模型预测缺血性皮质灰质的微观结构变化。
J Magn Reson Imaging. 2007 Sep;26(3):529-40. doi: 10.1002/jmri.21030.
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Numerical study of water diffusion in biological tissues using an improved finite difference method.使用改进的有限差分法对生物组织中水扩散的数值研究。
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Ischemia-induced ADC changes are larger than osmotically-induced ADC changes in a neonatal rat hippocampus model.在新生大鼠海马体模型中,缺血诱导的表观扩散系数(ADC)变化大于渗透诱导的ADC变化。
Magn Reson Med. 2005 Feb;53(2):348-55. doi: 10.1002/mrm.20353.
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An image-based finite difference model for simulating restricted diffusion.
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