A review on numerical modeling for magnetic nanoparticle hyperthermia: Progress and challenges

Area of Science:

• Nanotechnology
• Biomedical Engineering
• Medical Physics

Background:

• Magnetic nanoparticle (MNP) hyperthermia is an emerging therapeutic strategy.
• Accurate temperature prediction is essential for MNP hyperthermia safety and efficacy.
• Challenges exist in modeling heat transfer in biological tissues during MNP hyperthermia.

Purpose of the Study:

• To comprehensively review mathematical methods for quantifying MNP heat generation (Specific Loss Power - SLP).
• To review bio-heat models for predicting heat transfer and temperature distribution in MNP hyperthermia.
• To discuss the applications and limitations of these models in therapeutic settings, especially for cancer treatment.

Main Methods:

• Review of mathematical models for calculating Specific Loss Power (SLP) of magnetic nanoparticles.
• Review of bio-heat transfer models applicable to MNP hyperthermia.
• Analysis of existing literature on numerical modeling of MNP hyperthermia.

Main Results:

• Various mathematical approaches exist for determining SLP, a key parameter for MNP heat generation.
• Bio-heat models are crucial for simulating temperature dynamics in tissues during MNP hyperthermia.
• Understanding these models is vital for optimizing treatment protocols.

Conclusions:

• Reliable numerical models are warranted to predict temperature spatiotemporal distribution during MNP hyperthermia.
• Effective modeling enhances the safety and efficacy of MNP hyperthermia therapies.
• Further research can overcome limitations in current bio-heat models for MNP hyperthermia applications, particularly in oncology.