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Updated: May 24, 2025

In Vitro and In Vivo Delivery of Magnetic Nanoparticle Hyperthermia Using a Custom-Built Delivery System

In Vitro and In Vivo Delivery of Magnetic Nanoparticle Hyperthermia Using a Custom-Built Delivery System

Published on: July 2, 2020

A multi-objective optimization framework through genetic algorithm for hyperthermia-mediated drug delivery.

Adabbo G¹, Andreozzi A², Iasiello M²

¹Dipartimento di Medicina e Scienze della Salute "Vincenzo Tiberio", Università del Molise, Via Francesco De Sanctis 1, 86100, Campobasso, Italy.

Computers in Biology and Medicine

|February 28, 2025

Summary

This study optimizes hyperthermia-mediated drug delivery for liver cancer using a Multi-Objective Genetic Algorithm. The approach maximizes cancer cell kill while minimizing thermal damage, improving treatment outcomes.

Keywords:

Bioheat transfer Drug delivery Multi-objective optimization Thermo-sensitive liposomes

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Published on: January 13, 2023

Area of Science:

Biomedical Engineering
Computational Biology
Oncology

Background:

Hepatocellular carcinoma (HCC) treatment faces challenges with combined thermal therapies and chemotherapy.
Current methods for hyperthermia-mediated drug delivery lack optimal integration of thermal and drug delivery parameters.
Thermo-sensitive liposomes (TSLs) offer potential for targeted drug delivery in HCC, but require precise thermal control.

Purpose of the Study:

To develop and apply a multi-objective optimization framework for hyperthermia-mediated drug delivery in HCC.
To identify optimal design variables for maximizing cancer cell death and minimizing healthy tissue damage.
To improve the efficacy and safety of TSL-based chemotherapy for liver cancer.

Main Methods:

Integration of Computational Fluid Dynamics (CFD) with Pennes' Bioheat equation and a convection-diffusion model.
Application of a Multi-Objective Genetic Algorithm (MOGA) for optimizing heating power, timing, and antenna configuration.
In-silico simulations to evaluate treatment outcomes under various optimized parameters.

Main Results:

A two-slot antenna configuration with a specific heating schedule demonstrated optimal therapeutic results.
Maximized tumor drug concentration and minimized damage to surrounding healthy tissues were achieved.
The optimized approach increased the fraction of killed cancer cells from 10% to 33% compared to previous non-optimized methods.

Conclusions:

The proposed MOGA framework significantly enhances hyperthermia-mediated drug delivery for HCC.
Optimized treatment planning can lead to substantially improved therapeutic outcomes and patient-specific strategies.
This approach holds promise for advancing targeted cancer therapies with reduced side effects.