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Computer Methods and Programs in Biomedicine
Article . 2022 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
DBLP
Article . 2023
Data sources: DBLP
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In silico evaluation of adverse eddy current effects in preclinical tests of magnetic hyperthermia

Authors: Marta Vicentini; Marta Vassallo; Riccardo Ferrero; Ioannis Androulakis; Alessandra Manzin;

In silico evaluation of adverse eddy current effects in preclinical tests of magnetic hyperthermia

Abstract

Magnetic hyperthermia is an oncological therapy that employs magnetic nanoparticles activated by alternating current (AC) magnetic fields with frequencies between 50 kHz and 1 MHz, to release heat in a diseased tissue and produce a local temperature increase of about 5 °C. To assess the treatment efficacy, in vivo tests on murine models (mice and rats) are typically performed. However, these are often carried out without satisfying the biophysical constraints on the electromagnetic (EM) field exposure, with consequent generation of hot spots and undesirable heating of healthy tissues. Here, we investigate possible adverse eddy current effects, to estimate AC magnetic field parameters (frequency and amplitude) that can potentially guarantee safe animal tests of magnetic hyperthermia.The analysis is performed through in silico modelling by means of finite element simulation tools, specifically developed to study eddy current effects in computational animal models, during magnetic hyperthermia treatments. The numerical tools enable us to locally evaluate the specific absorption rate (SAR) and the produced temperature increase, under different field exposure conditions.The simulation outcomes demonstrate that in mice with weight lower than 30 g the thermal effects induced by AC magnetic fields are very weak, also when slightly overcoming the Hergt-Dutz limit, that is the product of the magnetic field amplitude and frequency should be lower than 5·109 A/(m·s). Conversely, we observe significant temperature increases in 500 g rats, amplified when the field is applied transversally to the body longitudinal axis. A strong mitigation of side-effects can be achieved by introducing water boluses or by applying focused fields.The developed physics-based modelling approach has proved to be a useful predictive tool for the optimization of preclinical tests of magnetic hyperthermia, allowing the identification of proper EM field conditions and the design of setups that guarantee safe levels of field exposure during animal treatments. In such contest, the obtained results can be considered as valid indicators to assess reference levels for animal testing of biomedical techniques that involve EM fields, like magnetic hyperthermia, thus complying with the Directive 2010/63/EU on the protection of animals used for scientific purposes.

Countries
Netherlands, Italy
Keywords

Hot Temperature, Drug-Related Side Effects and Adverse Reactions, Hyperthermia, Induced, Bio-heat transfer model; Computational animal models; In silico modelling; Magnetic field applicators; Magnetic hyperthermia; Magnetic nanoparticles; Numerical simulations; Preclinical tests; Specific absorption rate, Rats, Magnetics, Mice, Electromagnetic Fields, Magnetic Fields, Bio-heat transfer model; Magnetic hyperthermia; Magnetic nanoparticles; Magnetic field applicators; Numerical simulations; Specific absorption rate; In silico modelling; Computational animal models; Preclinical tests, Animals

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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Top 10%
Average
Top 10%
Green
hybrid