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A New Prospect in Magnetic Nanoparticle-Based Cancer Therapy: Taking Credit From Mathematical Tissue-Mimicking Phantom Brain Models Publisher Pubmed



Saeedi M1 ; Vahidi O2 ; Goodarzi V1 ; Saeb MR3 ; Izadi L2 ; Mozafari M4, 5, 6
Authors
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Authors Affiliations
  1. 1. Applied Biotechnology Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran
  2. 2. School of Chemical Engineering, Iran University of Science and Technology, Tehran, Iran
  3. 3. Department of Resin and Additives, Institute for Color Science and Technology, Tehran, Iran
  4. 4. Bioengineering Research Group, Nanotechnology and Advanced Materials Department, Materials and Energy Research Center (MERC), Tehran, Iran
  5. 5. Cellular and Molecular Research Center, Iran University of Medical Sciences (IUMS), Tehran, Iran
  6. 6. Department of Tissue Engineering & Regenerative Medicine, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran

Source: Nanomedicine: Nanotechnology# Biology# and Medicine Published:2017


Abstract

Distribution patterns/performance of magnetic nanoparticles (MNPs) was visualized by computer simulation and experimental validation on agarose gel tissue-mimicking phantom (AGTMP) models. The geometry of a complex three-dimensional mathematical phantom model of a cancer tumor was examined by tomography imaging. The capability of mathematical model to predict distribution patterns/performance in AGTMP model was captured. The temperature profile vs. hyperthermia duration was obtained by solving bio-heat equations for four different MNPs distribution patterns and correlated with cell death rate. The outcomes indicated that bio-heat model was able to predict temperature profile throughout the tissue model with a reasonable precision, to be applied for complex tissue geometries. The simulation results on the cancer tumor model shed light on the effectiveness of the studied parameters. © 2017 Elsevier Inc.
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