For in vivo magnetic hyperthermia tests, which are typically conducted on small animal models, one of the objectives is the design of alternating current (AC) magnetic field applicators able to guarantee an effective activation of magnetic nanoparticles (MNPs). During therapy application, it is critical to optimize heat deposition due to MNPs and minimize side effects in healthy tissues. For an accurate treatment planning, it is required to carefully select the geometry of the applicator coils and their location with respect to the body, as a function of the position and size of the tumour target region. Additionally, one should preliminary estimate the impact of experimental conditions on the MNP heating efficiency and thus on their capability to induce a temperature increase in tissues. Biophysical constraints have also to be taken into account in the choice of AC magnetic field parameters (frequency and amplitude), to avoid eddy current effects as much as possible. In this study, we present realistic simulations of preclinical tests on a mouse model, evaluating thermal response under various experimental conditions. We investigate different field applicator configurations, including helical, Helmholtz and pancake coils, while also analysing the role of the amplitude and frequency of the supply current, as well as of the type and administered dose of MNPs. The temperature increase in tissues, resulting from the heating effects due to AC magnetic field exposure and MNP activation, is calculated by means of in-house finite element models that solve the low -frequency electromagnetic field problem and the bioheat transfer equation. This in silico approach, which is applicable to any type of field applicators and MNPs, has been demonstrated to provide useful insights for the optimization of in vivo experiments, enabling the design of safer and more effective treatments.
Influence of coil geometry, supply conditions and nanoparticle heating properties on magnetic hyperthermia in mouse models / Vicentini, M.; Ferrero, R.; Manzin, A.. - In: INTERNATIONAL JOURNAL OF THERMAL SCIENCES. - ISSN 1290-0729. - 203:109151(2024). [10.1016/j.ijthermalsci.2024.109151]
Influence of coil geometry, supply conditions and nanoparticle heating properties on magnetic hyperthermia in mouse models
Vicentini M.
;Ferrero R.;Manzin A.
2024
Abstract
For in vivo magnetic hyperthermia tests, which are typically conducted on small animal models, one of the objectives is the design of alternating current (AC) magnetic field applicators able to guarantee an effective activation of magnetic nanoparticles (MNPs). During therapy application, it is critical to optimize heat deposition due to MNPs and minimize side effects in healthy tissues. For an accurate treatment planning, it is required to carefully select the geometry of the applicator coils and their location with respect to the body, as a function of the position and size of the tumour target region. Additionally, one should preliminary estimate the impact of experimental conditions on the MNP heating efficiency and thus on their capability to induce a temperature increase in tissues. Biophysical constraints have also to be taken into account in the choice of AC magnetic field parameters (frequency and amplitude), to avoid eddy current effects as much as possible. In this study, we present realistic simulations of preclinical tests on a mouse model, evaluating thermal response under various experimental conditions. We investigate different field applicator configurations, including helical, Helmholtz and pancake coils, while also analysing the role of the amplitude and frequency of the supply current, as well as of the type and administered dose of MNPs. The temperature increase in tissues, resulting from the heating effects due to AC magnetic field exposure and MNP activation, is calculated by means of in-house finite element models that solve the low -frequency electromagnetic field problem and the bioheat transfer equation. This in silico approach, which is applicable to any type of field applicators and MNPs, has been demonstrated to provide useful insights for the optimization of in vivo experiments, enabling the design of safer and more effective treatments.File | Dimensione | Formato | |
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