中国物理B ›› 2022, Vol. 31 ›› Issue (1): 14401-014401.doi: 10.1088/1674-1056/ac0819

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Thermal apoptosis analysis considering injection behavior optimization and mass diffusion during magnetic hyperthermia

Yun-Dong Tang(汤云东)1,†, Jian Zou(邹建)1, Rodolfo C C Flesch(鲁道夫 C C 弗莱施)2, Tao Jin(金涛)3, and Ming-Hua He(何明华)4,‡   

  1. 1 College of Physics and Information Engineering, Fuzhou University, Fuzhou 350116, China;
    2 Departamento de Automação e Sistemas, Universidade Federal de Santa Catarina, 88040-900 Flórianopolis, SC, Brazil;
    3 College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108, China;
    4 Fujian Medical University, Fuzhou 350122, China
  • 收稿日期:2021-03-25 修回日期:2021-05-31 接受日期:2021-06-04 出版日期:2021-12-03 发布日期:2021-12-18
  • 通讯作者: Yun-Dong Tang, Ming-Hua He E-mail:tangyundong@fzu.edu.cn;mhhe@fjmu.edu.cn
  • 基金资助:
    Project supported by the National Natural Science Foundation of China (Grant No. 62071124), the Natural Science Foundation of Fujian Province, China (Grant No. 2020J01464), the Fund from the Education Department of Fujian Province, China (Grant No. JAT190013), the Fund from the Fuzhou University, China (Grant No. GXRC-19044), and the Conselho Nacional de Desenvolvimento Científico e Tecnologico (BR) (CNPq) (Grant No. 309244/2018-8).

Thermal apoptosis analysis considering injection behavior optimization and mass diffusion during magnetic hyperthermia

Yun-Dong Tang(汤云东)1,†, Jian Zou(邹建)1, Rodolfo C C Flesch(鲁道夫 C C 弗莱施)2, Tao Jin(金涛)3, and Ming-Hua He(何明华)4,‡   

  1. 1 College of Physics and Information Engineering, Fuzhou University, Fuzhou 350116, China;
    2 Departamento de Automação e Sistemas, Universidade Federal de Santa Catarina, 88040-900 Flórianopolis, SC, Brazil;
    3 College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108, China;
    4 Fujian Medical University, Fuzhou 350122, China
  • Received:2021-03-25 Revised:2021-05-31 Accepted:2021-06-04 Online:2021-12-03 Published:2021-12-18
  • Contact: Yun-Dong Tang, Ming-Hua He E-mail:tangyundong@fzu.edu.cn;mhhe@fjmu.edu.cn
  • Supported by:
    Project supported by the National Natural Science Foundation of China (Grant No. 62071124), the Natural Science Foundation of Fujian Province, China (Grant No. 2020J01464), the Fund from the Education Department of Fujian Province, China (Grant No. JAT190013), the Fund from the Fuzhou University, China (Grant No. GXRC-19044), and the Conselho Nacional de Desenvolvimento Científico e Tecnologico (BR) (CNPq) (Grant No. 309244/2018-8).

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摘要： Thermally induced apoptosis for tumors depends mainly on the intrinsic characteristics of biological tissues as well as treatment temperature profile during magnetic hyperthermia. Further, treatment temperature distribution inside tumor depends on the injection behavior of irregular tumors, such as the injection dose and the injection location of nanofluids. In order to improve the treatment effect, the simulated annealing algorithm is adopted in this work to optimize the nanofluid injection behavior, and the improved Arrhenius model is used to evaluate the malignant ablations for three typical malignant tumor cell models. In addition, both the injection behavior optimization and the mass diffusion of nanofluid are both taken into consideration in order to improve the treatment effect. The simulation results demonstrate that the injection behavior can be optimized effectively by the proposed optimization method before therapy, the result of which can also conduce to improving the thermal apoptosis possibility for proposed typical malignant cells. Furthermore, an effective approach is also employed by considering longer diffusion duration and correct power dissipation at the same time. The results show that a better result can then be obtained than those in other cases when the power dissipation of MNPs is set to be QMNP=5.4×107W·m3 and the diffusion time is 16 h.

关键词: thermal apoptosis analysis, injection behavior optimization, mass diffusion, magnetic hyperthermia

Abstract: Thermally induced apoptosis for tumors depends mainly on the intrinsic characteristics of biological tissues as well as treatment temperature profile during magnetic hyperthermia. Further, treatment temperature distribution inside tumor depends on the injection behavior of irregular tumors, such as the injection dose and the injection location of nanofluids. In order to improve the treatment effect, the simulated annealing algorithm is adopted in this work to optimize the nanofluid injection behavior, and the improved Arrhenius model is used to evaluate the malignant ablations for three typical malignant tumor cell models. In addition, both the injection behavior optimization and the mass diffusion of nanofluid are both taken into consideration in order to improve the treatment effect. The simulation results demonstrate that the injection behavior can be optimized effectively by the proposed optimization method before therapy, the result of which can also conduce to improving the thermal apoptosis possibility for proposed typical malignant cells. Furthermore, an effective approach is also employed by considering longer diffusion duration and correct power dissipation at the same time. The results show that a better result can then be obtained than those in other cases when the power dissipation of MNPs is set to be QMNP=5.4×107W·m3 and the diffusion time is 16 h.

Key words: thermal apoptosis analysis, injection behavior optimization, mass diffusion, magnetic hyperthermia

中图分类号:  (Heat conduction)

  • 44.10.+i
44.05.+e (Analytical and numerical techniques) 87.85.J- (Biomaterials)