MRI-based numerical modeling strategy for simulation and treatment planning of nanoparticle-assisted photothermal therapy.

Autor: Asadi M; Medical Physics Department, School of Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran., Beik J; Medical Physics Department, School of Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran., Hashemian R; US Oncology Inc., Cincinnati, OH, USA., Laurent S; General, Organic and Biomedical Chemistry, NMR and Molecular Imaging Laboratory, University of Mons, Mons, Belgium., Farashahi A; Medical Physics Department, School of Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran., Mobini M; Department of Mathematics, Faculty of Mathematics, University of Sistan and Baluchestan, Zahedan, Iran., Ghaznavi H; Zahedan University of Medical Sciences (ZaUMS), Zahedan, Iran. Electronic address: Dr.ghaznavi@zaums.ac.ir., Shakeri-Zadeh A; Medical Physics Department, School of Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran. Electronic address: shakeriz@iums.ac.ir.
Jazyk: angličtina
Zdroj: Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) [Phys Med] 2019 Oct; Vol. 66, pp. 124-132. Date of Electronic Publication: 2019 Oct 07.
DOI: 10.1016/j.ejmp.2019.10.002
Abstrakt: Nanoparticle-assisted photothermal therapy (NPTT) has recently emerged as a promising alternative to traditional thermal therapy methods. Computational modeling for simulation and treatment planning of NPTT seems to be essential for clinical translation of this modality. Non-invasive identification of nanoparticle distribution within the tissue is a key perquisite for accurate prediction of NPTT in real conditions. In the present study, we have developed a magnetic resonance imaging (MRI)-based numerical modeling strategy for simulation and treatment planning of NPTT. To this end, we have utilized the core-shell γ-Fe 2 O 3 @Au nanoparticle comprising a gold layer with plasmonic properties and a magnetic core that enables to track the location of this structure via MRI. The map of nanoparticle distribution in the tumor derived from T 2 -weighted MR image was imported into a finite element simulation software, and Pennes bioheat equation and Arrhenius damage model were applied to simulate the temperature and damage distributions, respectively. The validation of the model developed herein was assessed by monitoring the superficial and the central temperature variations of the tumor in experiment. Both the numerical modeling and experimental study proved that a localized heating and then a focused damage could be achieved due to nanoparticle inclusion. There is quite satisfactory agreement between the numerical and experimental results. The model developed in this study has a good capability to be used as a promising planning method for NPTT of cancer.
(Copyright © 2019 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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