TY - JOUR
T1 - A Validated Methodological Approach to Prove the Safety of Clinical Electromagnetic Induction Systems in Magnetic Hyperthermia
AU - Rouni, Maria Anastasia
AU - Shalev, Boaz
AU - Tsanidis, George
AU - Markakis, Ioannis
AU - Kraus, Sarah
AU - Rukenstein, Pazit
AU - Suchi, Doron
AU - Shalev, Ofer
AU - Samaras, Theodoros
N1 - Publisher Copyright:
© 2024 by the authors.
PY - 2024/2/1
Y1 - 2024/2/1
N2 - The present study focuses on the development of a methodology for evaluating the safety of MNH systems, through the numerical prediction of the induced temperature rise in superficial skin layers due to eddy currents heating under an alternating magnetic field (AMF). The methodology is supported and validated through experimental measurements of the AMF’s distribution, as well as temperature data from the torsos of six patients who participated in a clinical trial study. The simulations involved a computational model of the actual coil, a computational model of the cooling system used for the cooling of the patients during treatment, and a detailed human anatomical model from the Virtual Population family. The numerical predictions exhibit strong agreement with the experimental measurements, and the deviations are below the estimated combined uncertainties, confirming the accuracy of computational modeling. This study highlights the crucial role of simulations for translational medicine and paves the way for personalized treatment planning.
AB - The present study focuses on the development of a methodology for evaluating the safety of MNH systems, through the numerical prediction of the induced temperature rise in superficial skin layers due to eddy currents heating under an alternating magnetic field (AMF). The methodology is supported and validated through experimental measurements of the AMF’s distribution, as well as temperature data from the torsos of six patients who participated in a clinical trial study. The simulations involved a computational model of the actual coil, a computational model of the cooling system used for the cooling of the patients during treatment, and a detailed human anatomical model from the Virtual Population family. The numerical predictions exhibit strong agreement with the experimental measurements, and the deviations are below the estimated combined uncertainties, confirming the accuracy of computational modeling. This study highlights the crucial role of simulations for translational medicine and paves the way for personalized treatment planning.
KW - Pennes BioHeat equation
KW - Sim4Life
KW - anatomical human model
KW - magnetic nanoparticle hyperthermia
KW - temperature-dependent perfusion
UR - http://www.scopus.com/inward/record.url?scp=85184709083&partnerID=8YFLogxK
U2 - 10.3390/cancers16030621
DO - 10.3390/cancers16030621
M3 - Article
C2 - 38339373
AN - SCOPUS:85184709083
SN - 2072-6694
VL - 16
JO - Cancers
JF - Cancers
IS - 3
M1 - 621
ER -