Department of Mechanical Engineering, Lafayette College, Easton, PA 18042, USA.
J Biomech. 2011 Feb 3;44(3):524-31. doi: 10.1016/j.jbiomech.2010.09.010. Epub 2010 Sep 24.
A biphasic nonlinear mathematical model is proposed for the mass transport that occurs during constant flow-rate infusions into brain tissue. The model takes into account geometric and material nonlinearities and a hydraulic conductivity dependent upon strain. The biphasic and convective-diffusive transport equations were implemented in a custom-written code assuming spherical symmetry and using an updated Lagrangian finite element algorithm. Results of the model indicate that the inclusion of these nonlinearities produced modest changes in the interstitial concentration but important variations in drug penetration and bulk concentration. Increased penetration of the drug but smaller bulk concentrations were obtained at smaller strains caused by combination of parameters such as increased Young's modulus and initial hydraulic conductivity. This indicates that simulations of constant flow-rate infusions under the assumption of infinitesimal deformations or rigidity of the tissue may yield lower bulk concentrations near the infusion cavity and over-predictions of the penetration of the infused agent. The analyses also showed that decrease in the infusion flow rate of a fixed amount of drug results in increased penetration of the infused agent. From the clinical point-of-view, this may promote a safer infusion that delivers the therapeutic range over the desired volume while avoiding damage to the tissue by minimizing deformation and strain.
提出了一个用于恒流输注到脑组织时质量传递的双相非线性数学模型。该模型考虑了几何和材料非线性以及依赖于应变的水力传导率。双相和对流扩散传输方程在自定义编写的代码中实现,假设球形对称,并使用更新的拉格朗日有限元算法。模型结果表明,这些非线性的包含导致了间质浓度的适度变化,但药物渗透和总体浓度的重要变化。通过增加杨氏模量和初始水力传导率等参数的组合,可以在较小的应变下获得药物的渗透增加和总体浓度较小。这表明,在假设组织的无穷小变形或刚性的情况下,对恒流输注的模拟可能会导致在输注腔附近的总体浓度较低,并对输注剂的渗透产生过高的预测。分析还表明,减少固定剂量药物的输注流量会导致输注剂的渗透增加。从临床角度来看,这可能会促进更安全的输注,即在避免组织损伤的同时,通过最小化变形和应变,将治疗范围输送到所需的体积。