Kazemi Alamouti Adeleh, Raouf Izaz, Zahabi Saeed, Salimibani Milad
Department of Ocean and Mechanical Engineering, Florida Atlantic University, Boca Raton, Florida 33431.
Department of Mechanical, Robotics and Energy Engineering, Dongguk University-Seoul, 30 Pildong-ro, 1-Gil, Jung-gu, Seoul 04620, Republic of Korea.
Biointerphases. 2022 Nov 1;19(6). doi: 10.1116/6.0003814.
Lately, magnetic nanoparticle (MNP) hyperthermia gained much attention because of its therapeutic efficiency. It is challenging to predict all the treatment parameters during the actual therapeutic environment. Hence, the numerical approaches can be utilized to optimize various parameters of interest. In the present research, MNP hyperthermia on a cancerous tumor placed inside the human brain is investigated numerically using a realistically shaped model for the head layers and the tumor. Applying the boundary conditions, a steady-state Pennes's bioheat transfer equation is solved using the finite element method scheme. The effects of MNP injection volume and location on tumor thermal distribution are examined and discussed in detail. The total volume of the brain tumor is 5990 mm3. Three different volumes of injection per point, namely, 0.6, 1.2, and 3 μl, as well as several injection points, are performed. It is observed that choosing a higher number of MNP injection points affects the temperature distribution in terms of uniformity. In contrast, an accurate injection volume provides lower temperatures for the treatment of cancerous tissue. Moreover, it is concluded that interfaces between the different layers of the anatomically correct brain model play a critical role in thermal therapy. Based on the obtained results, it is concluded that the optimal condition for MNP hyperthermia of a cancerous tumor with a volume of 5990 mm3 is the total injection volume of 80 μl through 20 different points all over the brain tumor considering an injection volume of 4 μl for each point.
近来，磁性纳米颗粒（MNP）热疗因其治疗效果而备受关注。在实际治疗环境中预测所有治疗参数具有挑战性。因此，可以利用数值方法来优化各种感兴趣的参数。在本研究中，使用头部各层和肿瘤的逼真形状模型，对置于人脑中的癌性肿瘤进行MNP热疗的数值研究。应用边界条件，采用有限元方法求解稳态彭尼斯生物热传递方程。详细研究和讨论了MNP注射体积和位置对肿瘤热分布的影响。脑肿瘤的总体积为5990立方毫米。每点进行三种不同的注射体积，即0.6、1.2和3微升，以及几个注射点。观察到选择更多数量的MNP注射点会在均匀性方面影响温度分布。相比之下，精确的注射体积可为癌组织治疗提供更低的温度。此外，得出结论，解剖学上正确的脑模型不同层之间的界面在热疗中起关键作用。基于所得结果，得出结论，对于体积为5990立方毫米的癌性肿瘤，MNP热疗的最佳条件是通过遍布脑肿瘤的20个不同点进行80微升的总注射体积，每个点的注射体积为4微升。
