Kim Jung Hwan, Astary Garrett W, Chen Xiaoming, Mareci Thomas H, Sarntinoranont Malisa
Department of Mechanical and Aerospace Engineering, University of Florida, Gainesville, FL 32611, USA.
J Biomech Eng. 2009 Jul;131(7):071007. doi: 10.1115/1.3169248.
Direct tissue infusion, e.g., convection-enhanced delivery (CED), is a promising local delivery technique for treating diseases of the central nervous system. Predictive models of spatial drug distribution during and following direct tissue infusion are necessary for treatment optimization and planning of surgery. In this study, a 3D interstitial transport modeling approach in which tissue properties and anatomical boundaries are assigned on a voxel-by-voxel basis using tissue alignment data from diffusion tensor imaging (DTI) is presented. The modeling approach is semi-automatic and utilizes porous media transport theory to estimate interstitial transport in isotropic and anisotropic tissue regions. Rat spinal cord studies compared predicted distributions of albumin tracer (for varying DTI resolution) following infusion into the dorsal horn with tracer distributions measured by Wood et al. in a previous study. Tissue distribution volumes compared favorably for small infusion volumes (<4 microl). The presented DTI-based methodology provides a rapid means of estimating interstitial flows and tracer distributions following CED into the spinal cord. Quantification of these transport fields provides an important step toward development of drug-specific transport models of infusion.
直接组织灌注，例如对流增强递送（CED），是一种用于治疗中枢神经系统疾病的很有前景的局部递送技术。在直接组织灌注期间及之后进行空间药物分布的预测模型对于治疗优化和手术规划是必要的。在本研究中，提出了一种三维间质运输建模方法，该方法使用来自扩散张量成像（DTI）的组织对齐数据，逐体素地分配组织特性和解剖边界。该建模方法是半自动的，并利用多孔介质传输理论来估计各向同性和各向异性组织区域中的间质运输。大鼠脊髓研究将注入背角后白蛋白示踪剂的预测分布（针对不同的DTI分辨率）与伍德等人在先前研究中测量的示踪剂分布进行了比较。对于小灌注体积（<4微升），组织分布体积具有良好的一致性。所提出的基于DTI的方法提供了一种快速估计CED注入脊髓后间质流动和示踪剂分布的方法。对这些运输场的量化为开发特定药物的灌注运输模型迈出了重要一步。
