Rouni Maria Anastasia, Shalev Boaz, Tsanidis George, Markakis Ioannis, Kraus Sarah, Rukenstein Pazit, Suchi Doron, Shalev Ofer, Samaras Theodoros
Thessaloniki Software Solutions S.A., 55535 Thessaloniki, Greece.
Faculty of Sciences, School of Physics, Aristotle University, 54124 Thessaloniki, Greece.
Cancers (Basel). 2024 Jan 31;16(3):621. doi: 10.3390/cancers16030621.
The present study focuses on the development of a methodology for evaluating the safety of MNH systems, through the numerical prediction of the induced temperature rise in superficial skin layers due to eddy currents heating under an alternating magnetic field (AMF). The methodology is supported and validated through experimental measurements of the AMF's distribution, as well as temperature data from the torsos of six patients who participated in a clinical trial study. The simulations involved a computational model of the actual coil, a computational model of the cooling system used for the cooling of the patients during treatment, and a detailed human anatomical model from the Virtual Population family. The numerical predictions exhibit strong agreement with the experimental measurements, and the deviations are below the estimated combined uncertainties, confirming the accuracy of computational modeling. This study highlights the crucial role of simulations for translational medicine and paves the way for personalized treatment planning.
本研究聚焦于开发一种评估磁共振导航系统安全性的方法,该方法通过数值预测交变磁场(AMF)作用下涡流加热导致的表皮温度升高来实现。通过对AMF分布的实验测量以及参与临床试验研究的六名患者躯干的温度数据,对该方法进行了支持和验证。模拟涉及实际线圈的计算模型、治疗期间用于冷却患者的冷却系统的计算模型以及虚拟人口家族的详细人体解剖模型。数值预测与实验测量结果高度吻合,偏差低于估计的综合不确定性,证实了计算建模的准确性。本研究突出了模拟在转化医学中的关键作用,并为个性化治疗规划铺平了道路。
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