Evaluation on the capacity of selectively heating vessel-rich-skin to realize noninvasive whole body hyperthermia

Jia, Dawei; Jing, Liu

doi:10.1016/j.ijthermalsci.2010.06.007

Cited by 2 publications

(1 citation statement)

References 30 publications

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“…Magnetic nanoparticle (MNP) hyperthermia has a great deal of potential for cancer therapy because of its effectiveness and minimal invasive effects on the healthy tissues surrounding the tumor [ 1 , 2 , 3 ]. In this therapy, the malignant tissues are damaged with the help of the targeted heat induction caused by nanoparticles in the presence of an alternating current (AC) magnetic field [ 4 , 5 , 6 ].…”

Section: Introductionmentioning

confidence: 99%

Numerical Investigation of Ferrofluid Preparation during In-Vitro Culture of Cancer Therapy for Magnetic Nanoparticle Hyperthermia

Raouf

Gas

Kim

2021

Sensors

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Recently, in-vitro studies of magnetic nanoparticle (MNP) hyperthermia have attracted significant attention because of the severity of this cancer therapy for in-vivo culture. Accurate temperature evaluation is one of the key challenges of MNP hyperthermia. Hence, numerical studies play a crucial role in evaluating the thermal behavior of ferrofluids. As a result, the optimum therapeutic conditions can be achieved. The presented research work aims to develop a comprehensive numerical model that directly correlates the MNP hyperthermia parameters to the thermal response of the in-vitro model using optimization through linear response theory (LRT). For that purpose, the ferrofluid solution is evaluated based on various parameters, and the temperature distribution of the system is estimated in space and time. Consequently, the optimum conditions for the ferrofluid preparation are estimated based on experimental and mathematical findings. The reliability of the presented model is evaluated via the correlation analysis between magnetic and calorimetric methods for the specific loss power (SLP) and intrinsic loss power (ILP) calculations. Besides, the presented numerical model is verified with our experimental setup. In summary, the proposed model offers a novel approach to investigate the thermal diffusion of a non-adiabatic ferrofluid sample intended for MNP hyperthermia in cancer treatment.

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