Thermal Effect by Applying Laser Heating in Iron Oxide Nanoparticles Dissolved in Distilled Water

Varon, Leonardo A. Bermeo; Loiola, Bruna R.; Abreu, Luiz Alberto da Silva; Lamien, Bernard; Silva, Nilton Pereira da; Orlande, Helcio R. B.; Santos, D.S. dos

doi:10.1007/978-3-030-31635-8_151

Cited by 3 publications

(1 citation statement)

References 11 publications

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“…Thus, in the present work the Pennes' bio‐heat transfer equation 71 (Equation 4) was used to calculate the temperature field in the phantom. Our results were compared to published experimental and simulated measurements, which showed a good approximation that this model has in different hyperthermia processes, as described in 10,15,48,72

ρ c_{p} \frac{\partial T}{\partial t} goodbreak= \nabla \cdot ((), k \nabla T) goodbreak+ ρ_{b} c_{b} ω_{b} ([], T_{b} goodbreak- T ((), r, z, t)) goodbreak+ Q_{m} goodbreak+ Q in normalΩ for t > 0

where, c p is the specific heat, k is the thermal conductivity, c b is the blood specific heat, ρ b is the blood density, T is the tissue temperature, T b is the blood temperature, ω b is the blood perfusion rate, Q is the external heat source calculated from Equation (2), Q m is the metabolic heat source, and

normalΩ = ({},, 0 < r < L_{r}, 0 < z < L_{z})

is the domain.…”

Section: Mathematical Model Of the Forward Problemmentioning

confidence: 80%

Parameter estimation in high‐intensity focused ultrasound therapy

Cardenas

Varon

Cárdenas

2022

Numer Methods Biomed Eng

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Hyperthermia using High‐Intensity Focused Ultrasound (HIFU) is an acoustic therapy for cancer treatment. This technique consists of an increase in the temperature field of the tumor to achieve coagulative necrosis and immediate cell death. Therefore, for having a successful treatment, the physical problem requires to know several properties due to the high variability from individual to individual, or even for the same individual under different physiological conditions. This article presents a numerical simulation of hyperthermia therapy for cancer treatment using HIFU, as well as the estimation of parameters that influence the physical problem. Two mathematical models were considered to solve the forward problem. The acoustic model based on acoustic pressure performs a frequency‐domain study, and the bioheat transfer model a time‐dependent study. These models were solved using Comsol Multiphysics® software in a 2D‐axisymmetric rectangular domain to determine the temperature field. Parameter estimation was coded in Matlab Mathworks® environment using a Bayesian approach. The Markov Chain Monte Carlo method by the Metropolis–Hastings algorithm was implemented, and the simulated temperature measurements were considered. Results suggest that specific HIFU therapy can be performed for each patient by estimating appropriate parameters for cancer treatment and provides the possibility to define procedures before and during the treatment.

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ρ c_{p} \frac{\partial T}{\partial t} goodbreak= \nabla \cdot ((), k \nabla T) goodbreak+ ρ_{b} c_{b} ω_{b} ([], T_{b} goodbreak- T ((), r, z, t)) goodbreak+ Q_{m} goodbreak+ Q in normalΩ for t > 0

normalΩ = ({},, 0 < r < L_{r}, 0 < z < L_{z})

is the domain.…”

Section: Mathematical Model Of the Forward Problemmentioning

confidence: 80%

Parameter estimation in high‐intensity focused ultrasound therapy

Cardenas

Varon

Cárdenas

2022

Numer Methods Biomed Eng

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Monte Carlo parameter estimation and direct simulation of in vitro hyperthermia-chemotherapy experiment

Silva

Varon

Costa

et al. 2021

Numerical Heat Transfer, Part A: Applications

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In Silico Study on Tumor-Size-Dependent Thermal Profiles inside an Anthropomorphic Female Breast Phantom Subjected to Multi-Dipole Antenna Array

Gas

Miaskowski

Subramanian

2020

IJMS

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Electromagnetic hyperthermia as a potent adjuvant for conventional cancer therapies can be considered valuable in modern oncology, as its task is to thermally destroy cancer cells exposed to high-frequency electromagnetic fields. Hyperthermia treatment planning based on computer in silico simulations has the potential to improve the localized heating of breast tissues through the use of the phased-array dipole applicators. Herein, we intended to improve our understanding of temperature estimation in an anatomically accurate female breast phantom embedded with a tumor, particularly when it is exposed to an eight-element dipole antenna matrix surrounding the breast tissues. The Maxwell equations coupled with the modified Pennes’ bioheat equation was solved in the modelled breast tissues using the finite-difference time-domain (FDTD) engine. The microwave (MW) applicators around the object were modelled with shortened half-wavelength dipole antennas operating at the same 1 GHz frequency, but with different input power and phases for the dipole sources. The total input power of an eight-dipole antenna matrix was set at 8 W so that the temperature in the breast tumor did not exceed 42 °C. Finding the optimal setting for each dipole antenna from the matrix was our primary objective. Such a procedure should form the basis of any successful hyperthermia treatment planning. We applied the algorithm of multi for multi-objective optimization for the power and phases for the dipole sources in terms of maximizing the specific absorption rate (SAR) parameter inside the breast tumor while minimizing this parameter in the healthy tissues. Electro-thermal simulations were performed for tumors of different radii to confirm the reliable operation of the given optimization procedure. In the next step, thermal profiles for tumors of various sizes were calculated for the optimal parameters of dipole sources. The computed results showed that larger tumors heated better than smaller tumors; however, the procedure worked well regardless of the tumor size. This verifies the effectiveness of the applied optimization method, regardless of the various stages of breast tumor development.

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Thermal Effect by Applying Laser Heating in Iron Oxide Nanoparticles Dissolved in Distilled Water

Cited by 3 publications

References 11 publications

Parameter estimation in high‐intensity focused ultrasound therapy

Parameter estimation in high‐intensity focused ultrasound therapy

Monte Carlo parameter estimation and direct simulation of in vitro hyperthermia-chemotherapy experiment

In Silico Study on Tumor-Size-Dependent Thermal Profiles inside an Anthropomorphic Female Breast Phantom Subjected to Multi-Dipole Antenna Array

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