scholarly journals Magnetic nanoparticle hyperthermia: predictive model for temperature distribution

2013 ◽  
Author(s):  
Robert V. Stigliano ◽  
Fridon Shubitidze ◽  
Alicia A. Petryk ◽  
Jennifer A. Tate ◽  
P. Jack Hoopes
Keyword(s):  
Temperature Distribution ◽  
Predictive Model ◽  
Magnetic Nanoparticle ◽  
Magnetic Nanoparticle Hyperthermia

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

2021 ◽  
Author(s):  
Kassianne J Tofani ◽  
Saeed Tiari
Keyword(s):  
Temperature Distribution ◽  
Cancer Treatment ◽  
Magnetic Nanoparticle ◽  
Thermal Analyses ◽  
Blood Perfusion ◽  
Bioheat Transfer ◽  
Manganese Zinc ◽  
Different Types ◽  
Magnetic Nanoparticle Hyperthermia ◽  
Future Work

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.

Tumor Geometry and SAR Distribution Generated From MicroCT Images for Tumor Temperature Elevation Simulation in Magnetic Nanoparticle Hyperthermia

2013 ◽  
Author(s):  
Alexander LeBrun ◽  
Navid Manuchehrabadi ◽  
Anilchandra Attaluri ◽  
Ronghui Ma ◽  
Liang Zhu
Keyword(s):  
Numerical Simulation ◽  
Magnetic Nanoparticles ◽  
Temperature Distribution ◽  
Magnetic Nanoparticle ◽  
Heat Transfer Process ◽  
Simulation Software ◽  
Temperature Elevation ◽  
Hyperthermia Treatment ◽  
Software Packages ◽  
Magnetic Nanoparticle Hyperthermia

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.

scholarly journals Numerical Investigation of Ferrofluid Preparation during In-Vitro Culture of Cancer Therapy for Magnetic Nanoparticle Hyperthermia

Sensors ◽  
2021 ◽  
Vol 21 (16) ◽  
pp. 5545 ◽  
Author(s):  
Izaz Raouf ◽  
Piotr Gas ◽  
Heung Soo Kim
Keyword(s):  
Numerical Model ◽  
Cancer Therapy ◽  
Magnetic Nanoparticle ◽  
Research Work ◽  
Thermal Response ◽  
Linear Response Theory ◽  
Novel Approach ◽  
Magnetic Nanoparticle Hyperthermia

Recently, in-vitro studies of magnetic nanoparticle (MNP) hyperthermia have attracted significant attention because of the severity of this cancer therapy for in-vivo culture. Accurate temperature evaluation is one of the key challenges of MNP hyperthermia. Hence, numerical studies play a crucial role in evaluating the thermal behavior of ferrofluids. As a result, the optimum therapeutic conditions can be achieved. The presented research work aims to develop a comprehensive numerical model that directly correlates the MNP hyperthermia parameters to the thermal response of the in-vitro model using optimization through linear response theory (LRT). For that purpose, the ferrofluid solution is evaluated based on various parameters, and the temperature distribution of the system is estimated in space and time. Consequently, the optimum conditions for the ferrofluid preparation are estimated based on experimental and mathematical findings. The reliability of the presented model is evaluated via the correlation analysis between magnetic and calorimetric methods for the specific loss power (SLP) and intrinsic loss power (ILP) calculations. Besides, the presented numerical model is verified with our experimental setup. In summary, the proposed model offers a novel approach to investigate the thermal diffusion of a non-adiabatic ferrofluid sample intended for MNP hyperthermia in cancer treatment.

A Numerical Approach to the Magnetic Nanoparticle Hyperthermia

2021 ◽  
Author(s):  
Alireza Ashofteh Yazdi ◽  
Antonio Callejas Zafra ◽  
Pablo Moreno ◽  
Rafa Munoz ◽  
Juan Melchor
Keyword(s):  
Magnetic Nanoparticle ◽  
Numerical Approach ◽  
Magnetic Nanoparticle Hyperthermia
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