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Effects of variation in perfusion rates and of perfusion models in computational models of radio frequency tumor ablation

机译:射频肿瘤消融计算模型中灌注速率和灌注模型变化的影响

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摘要

Purpose: Finite element method (FEM) models are commonly used to simulate radio frequency (RF) tumor ablation. Prior FEM models of RF ablation have either ignored the temperature dependent effect of microvascular perfusion, or implemented the effect using simplified algorithms to reduce computational complexity. In this FEM modeling study, the authors compared the effect of different microvascular perfusion algorithms on ablation zone dimensions with two commercial RF electrodes in hepatic tissue. They also examine the effect of tissue type and inter-patient variation of perfusion on ablation zone dimensions. Methods and Materials: The authors created FEM models of an internally cooled and multi-tined expandable electrode. RF voltage was applied to both electrodes (for 12 or 15 min, respectively) such that the maximum temperature in the model was 105 °C. Temperature dependent microvascular perfusion was implemented using three previously reported methodologies: cessation above 60 °C, a standard first-order Arrhenius model with decreasing perfusion with increasing degree of vascular stasis, and an Arrhenius model that included the effects of increasing perfusion at the ablation zone boundary due to hyperemia. To examine the effects of interpatient variation, simulations were performed with base line and ±1 standard deviation values of perfusion. The base line perfusion was also varied to simulate the difference between normal and cirrhotic liver tissue. Results: The ablation zone volumes with the cessation above 60 °C perfusion algorithm and with the more complex Arrhenius model were up to 70% and 25% smaller, respectively, compared to the standard Arrhenius model. Ablation zone volumes were up to ∼175% and ∼100% different between the simulations where −1 and +1 standard deviation values of perfusion were used in normal and cirrhotic liver tissue, respectively. Conclusions: The choice of microvascular perfusion algorithm has significant effects on final ablation zone dimensions in FEM models of RF ablation. The authors also found that both interpatient variation in base line tissue perfusion and the reduction in perfusion due to cirrhosis have considerable effect on ablation zone dimensions.
机译:目的:有限元方法(FEM)模型通常用于模拟射频(RF)肿瘤消融。先前的射频消融FEM模型要么忽略了微血管灌注的温度依赖性效应,要么使用简化算法来实现该效应以降低计算复杂性。在这项有限元建模研究中,作者比较了肝组织中两个商用射频电极对不同微血管灌注算法对消融区尺寸的影响。他们还检查了组织类型和患者间灌注变化对消融区尺寸的影响。方法和材料:作者创建了内部冷却和多色可膨胀电极的FEM模型。将射频电压施加到两个电极上(分别持续12或15分钟),以使模型中的最高温度为105°C。温度依赖性微血管灌注是使用三种先前报道的方法实现的:停止温度高于60°C,标准的一阶Arrhenius模型(随着血管停滞程度的增加而灌注减少)和Arrhenius模型(包括在消融区增加灌注的影响)由于充血边界。为了检查患者间差异的影响,对基线和灌注的±1标准偏差值进行了模拟。还改变基线灌注以模拟正常和肝硬化肝组织之间的差异。结果:与标准Arrhenius模型相比,在60°C以上的灌注算法中停止操作和使用更复杂的Arrhenius模型时,消融区体积分别减小了70%和25%。在分别在正常和肝硬化肝组织中分别使用-1和+1标准偏差灌注值的模拟之间,消融区的体积相差高达175%和100%。结论:在射频消融的有限元模型中,微血管灌注算法的选择对最终消融区的尺寸有重要影响。作者还发现,基线间组织灌注的患者间差异以及由于肝硬化引起的灌注减少均对消融区域的尺寸有相当大的影响。

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