Magnetic Nanoparticle Hyperthermia for Cancer Treatment: a Review On Nanoparticle Types and Thermal Analyses

Author(s):  
Kassianne J Tofani ◽  
Saeed Tiari

Abstract Magnetic nanoparticle hyperthermia (MNH) is a localized cancer treatment which uses an alternating magnetic field to excite magnetic nanoparticles (MNPs) injected into a tumor, causing them to generate heat. Once the temperature of the tumor tissue reaches about 43°C, the cancerous cells die. Different types of MNPs have been studied, including iron oxides with various coatings, Cu-Ni alloys and complex manganese/zinc particles. This paper reviews different types of MNPs and assesses them by magnetization, SAR, and Curie Temperature. We reviewed the achievements and limitations of the works in this field. A major issue with MNH is maintaining effective hyperthermia while preserving healthy tissue. Numerical modeling can predict temperature distribution and safely simulate hyperthermia. The most used bioheat transfer equation is Pennes' equation which includes a term for blood perfusion, an important factor for temperature distribution. While some models safely neglect it, most include blood perfusion term. Some recent models have also included large blood vessels, others used their own heat transfer models. This article reviews the different models and classifies them based on how they address blood flow. A need for studies with realistic tumor shapes was identified. The irregular shape of most tumors could result in less uniform temperature distribution than in the commonly used circular or spherical models. This article aims to identify potential future work to create more realistic tumor models.

2013 ◽  
Author(s):  
Robert V. Stigliano ◽  
Fridon Shubitidze ◽  
Alicia A. Petryk ◽  
Jennifer A. Tate ◽  
P. Jack Hoopes

2013 ◽  
Vol 29 (8) ◽  
pp. 845-851 ◽  
Author(s):  
Alicia A. Petryk ◽  
Andrew J. Giustini ◽  
Rachel E. Gottesman ◽  
Peter A. Kaufman ◽  
P. Jack Hoopes

Author(s):  
Alexander LeBrun ◽  
Navid Manuchehrabadi ◽  
Anilchandra Attaluri ◽  
Ronghui Ma ◽  
Liang Zhu

Previous investigations in magnetic nanoparticle hyperthermia for cancer treatments have demonstrated that particle size, particle coating, and magnetic field strength and frequency determine its heating generation capacity. However, once the nanoparticles are manufactured, the spatial distribution of the nanostructures dispersed in tissue dominates the spatial temperature elevation during heating. 1–3 Therefore, understanding the distribution of magnetic nanoparticles in tumors is critical to develop theoretical models to predict temperature distribution in tumors during hyperthermia treatment. An accurate description of the nanoparticle distribution and the tumor geometry will greatly enhance the simulation accuracy of the heat transfer process in tumors, which is crucial for generating an optimal temperature distribution that can prevent the occurrence of heating under-dosage in the tumor and overheating in the healthy tissue. Recently studies by our group have demonstrated that the nanoparticle concentration distribution in tumors can be visualized via microCT image due to the density elevation of the presence of magnetic nanoparticles. 4 The problem is the intensive memory requirements to directly import the microCT images to numerical simulation software packages such as COMSOL. Although commercial software packages exist to handle detailed entities inside tumors, they are very expensive to purchase. In addition, having very small entities at the micrometer level inside the tumor geometry may provide challenge to numerical simulation software to accept the generated geometry.


1999 ◽  
Vol 121 (2) ◽  
pp. 141-147 ◽  
Author(s):  
B. Rivolta ◽  
F. Inzoli ◽  
S. Mantero ◽  
A. Severini

A computational approach is adopted to predict the temperature distribution in the biliary tissue during hyperthermic treatments in biliary tumors. Two different models are developed: an axisymmetric model and a three-dimensional model. In the first model the Pennes bioheat transfer equation is applied. It is aimed at simulating the thermoregulatory effect of the capillary bed and it can also give a pressure criterion to determine whether the blood perfusion term should be included in the mathematical model. The second model is aimed at simulating the convective effect of the large hepatic vessels: A constant Nusselt number is assumed on the sides of the vessels. The simulations of the three-dimensional model have been carried out with and without capillary perfusion in the tissue, i.e., respectively in the worst case and in the best case that may occur during heating. The results show that it is possible to obtain therapeutic temperature values in the tissue for time intervals considered acceptable by physicians. Moreover, the model is able to give more precise information about the volumes of tumoral tissue heated above therapeutic temperatures with the hyperthermic technique considered.


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