In magnetic nanoparticle hyperthermia for cancer treatment, controlling the heat distribution and temperature elevations is an immense challenge in clinical applications. In this study we evaluate magnetic nanofluid transport and heat distribution induced by commercially available magnetic nanoparticles injected into the extracellular space of biological tissue using agarose gel with porous structures similar to human tissue. The nanofluid distribution in the gel is examined via digital images of the nanofluid spreading in the gel. A radio-frequency electromagnetic field is applied to the gel following the nanofluid injection and the initial rates of temperature rise at various locations are measured to obtain the specific absorption rate (SAR) distribution. By adjusting the gel concentration and injection flow rate, the results have demonstrated that a relatively low injection rate leads to a spherically shaped nanofluid distribution in the gels which is desirable for controlling temperature elevations. The SAR distribution shows that the nanoparticle distribution in the gel is not uniform with a high concentration of the nanoparticles close to the injection site. We believe that the experimental study is the first step towards providing guidance for designing better treatment protocol for future clinical applications.

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In magnetic nanoparticle hyperthermia for cancer treatment, controlling the nanoparticle distribution delivered in tumors is vital for achieving an optimum distribution of temperature elevations that enables a maximum damage of the tumorous cells while minimizing the heating in the surrounding healthy tissues. A multi-scale model is developed in this study to investigate the spatial distribution of nanoparticles in tissues after nanofluid injection into the extracellular space of tissues. The theoretical study consists of a particle trajectory tracking model that considers particle-surface interactions and a macroscale model for the transport of nanoparticles in the carrier solution in a porous structure. Simulations are performed to examine the effects of a variety of injection parameters and particle properties on the particle distribution in tissues. The results show that particle deposition on the cellular structure is the dominant mechanism that leads to a non-uniform particle distribution. The particle penetration depth is sensitive to the injection rate and surface properties of the particles, but relatively insensitive to the injected volume and concentration of the nanofluid.