Magnetic nanoparticle hyperthermia: predictive model for temperature distribution

Robert V. Stigliano; Fridon Shubitidze; Alicia A. Petryk; Jennifer A. Tate; P. Jack Hoopes

doi:10.1117/12.2007673

26 February 2013 Magnetic nanoparticle hyperthermia: predictive model for temperature distribution

Robert V. Stigliano, Fridon Shubitidze, Alicia A. Petryk, Jennifer A. Tate, P. Jack Hoopes

Proceedings Volume 8584, Energy-based Treatment of Tissue and Assessment VII; 858410 (2013) https://doi.org/10.1117/12.2007673
Event: SPIE BiOS, 2013, San Francisco, California, United States

Abstract

Magnetic nanoparticle (mNP) hyperthermia is a promising adjuvant cancer therapy. mNP’s are delivered intravenously or directly into a tumor, and excited by applying an alternating magnetic field (AMF). The mNP’s are, in many cases, sequestered by cells and packed into endosomes. The proximity of the mNP’s has a strong influence on their ability to heat due to inter-particle magnetic interaction effects. This is an important point to take into account when modeling the mNP’s. Generally, more mNP heating can be achieved using higher magnetic field strengths. The factor which limits the maximum field strength applied to clinically relevant volumes of tissue is the heating caused by eddy currents, which are induced in the noncancerous tissue. A coupled electromagnetic and thermal model has been developed to predict dynamic thermal distributions during AMF treatment. The EM model is based on the method of auxiliary sources and the thermal modeling is based on the Pennes bioheat equation. The results of our phantom study are used to validate the model which takes into account nanoparticle heating, interaction effects, particle spatial distribution, particle size distribution, EM field distribution, and eddy current generation in a controlled environment. Preliminary in vivo data for model validation are also presented. Once fully developed and validated, the model will have applications in experimental design, AMF coil design, and treatment planning.

Citation Download Citation

Robert V. Stigliano, Fridon Shubitidze, Alicia A. Petryk, Jennifer A. Tate, and P. Jack Hoopes "Magnetic nanoparticle hyperthermia: predictive model for temperature distribution", Proc. SPIE 8584, Energy-based Treatment of Tissue and Assessment VII, 858410 (26 February 2013); https://doi.org/10.1117/12.2007673

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