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FEM numerical model analysis of magnetic nanoparticle tumor heating experiments

机译:磁性纳米粒子加热实验的有限元数值模型分析

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Iron oxide nanoparticles are currently under investigation as heating agents for hyperthermic treatment of tumors. Major determinants of effective heating include the biodistribution of magnetic materials, the minimum iron oxide loading required to achieve adequate heating, and practically achievable magnetic field strengths. These are inter-related criteria that ultimately determine the practicability of this approach to tumor treatment. Currently, we lack fundamental engineering design criteria that can be used in treatment planning and assessment. Coupling numerical models to experimental studies illuminate the underlying physical processes and can separate physical processes to determine their relative importance. Further, adding thermal damage and cell death process to the models provides valuable perspective on the likelihood of successful treatment. FEM numerical models were applied to increase the understanding of a carefully calibrated series of experiments in mouse mammary carcinoma. The numerical models results indicate that tumor loadings equivalent to approximately 1 mg of FeO per gram of tumor tissue are required to achieve adequate heating in magnetic field strengths of 34 kA/m (rms) at 160 kHz. Further, the models indicate that direct intratumoral injection of the nanoparticles results in between 1 and 20% uptake in the tissues.
机译:目前正在研究氧化铁纳米颗粒作为用于肿瘤的高温治疗的加热剂。有效加热的主要决定因素包括磁性材料的生物分布,实现足够加热所需的最小氧化铁负载量以及实际可达到的磁场强度。这些是相互关联的标准,这些标准最终确定了该方法在肿瘤治疗中的实用性。当前,我们缺乏可用于治疗计划和评估的基本工程设计标准。将数值模型与实验研究相结合可以阐明潜在的物理过程,并且可以将物理过程分开以确定它们的相对重要性。此外,将热损伤和细胞死亡过程添加到模型中可为成功治疗的可能性提供有价值的观点。应用FEM数值模型来增加对小鼠乳腺癌中一系列经过仔细校准的实验的理解。数值模型结果表明,在160 kHz的频率下,要在34 kA / m(rms)的磁场强度下获得足够的加热,需要与每克肿瘤组织大约1 mg FeO等效的肿瘤负荷。此外,模型表明,直接在肿瘤内注射纳米颗粒会导致组织吸收1%到20%。

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