Thermal management in a biological tissue in order to destroy tissue under local heating process

Barnoon, Pouya; Bakhshandehfard, Farnoush

doi:10.1016/j.csite.2021.101105

Cited by 18 publications

(2 citation statements)

References 53 publications

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“…In a recent study, the FE method [ 17 ] was successfully applied for the simulation of liver tumor treatment also combining magnetic field and heat control. Treatment of liver cancer by destroying the damaged liver tissue using a designed surgical needle was also modelled under a local heating process [ 18 ]. The utilized Runge–Kutta and finite difference method were integrated in a hybrid model for numerical analysis of hyperthermia treatment of tumor or cancer cells [ 19 ], as well as for numerical analysis of thermal response of a multi-layer skin model under heating and cooling processes [ 20 ].…”

Section: Introductionmentioning

confidence: 99%

Computational Modeling on Drugs Effects for Left Ventricle in Cardiomyopathy Disease

et al. 2023

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Cardiomyopathy is associated with structural and functional abnormalities of the ventricular myocardium and can be classified in two major groups: hypertrophic (HCM) and dilated (DCM) cardiomyopathy. Computational modeling and drug design approaches can speed up the drug discovery and significantly reduce expenses aiming to improve the treatment of cardiomyopathy. In the SILICOFCM project, a multiscale platform is developed using coupled macro- and microsimulation through finite element (FE) modeling of fluid–structure interactions (FSI) and molecular drug interactions with the cardiac cells. FSI was used for modeling the left ventricle (LV) with a nonlinear material model of the heart wall. Simulations of the drugs’ influence on the electro-mechanics LV coupling were separated in two scenarios, defined by the principal action of specific drugs. We examined the effects of Disopyramide and Dygoxin which modulate Ca2+ transients (first scenario), and Mavacamten and 2-deoxy adenosine triphosphate (dATP) which affect changes of kinetic parameters (second scenario). Changes of pressures, displacements, and velocity distributions, as well as pressure–volume (P-V) loops in the LV models of HCM and DCM patients were presented. Additionally, the results obtained from the SILICOFCM Risk Stratification Tool and PAK software for high-risk HCM patients closely followed the clinical observations. This approach can give much more information on risk prediction of cardiac disease to specific patients and better insight into estimated effects of drug therapy, leading to improved patient monitoring and treatment.

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Section: Introductionmentioning

confidence: 99%

Computational Modeling on Drugs Effects for Left Ventricle in Cardiomyopathy Disease

et al. 2023

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“…Other formulas applied to the bioheat transfer issue are the Pennes equation [ 21 ], the Cattaneo–Vernotte equation [ 22 , 23 , 24 ], and the dual phase lag (DPL) model. Bioheat transfer modelling describes phenomena that occur not only during cryopreservation by slow freezing [ 17 ] and vitrification [ 12 , 15 , 25 ], but also other examples of thermal process modelling applications, such as the characterisation of cryosurgery [ 26 , 27 , 28 , 29 , 30 ] or the destruction of biological tissue under the influence of a magnetic field [ 11 , 31 ].…”

Section: Introductionmentioning

confidence: 99%

Crystallisation Degree Analysis during Cryopreservation of Biological Tissue Applying Interval Arithmetic

Piasecka-Belkhayat

Skorupa

2023

Materials

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This paper presents the numerical modelling of heat transfer and changes proceeding in the homogeneous sample, caused by the crystallisation phenomenon during cryopreservation by vitrification. Heat transfer was simulated in a microfluidic system in which the working fluid flowed in micro-channels. The analysed process included single-phase flow during warming, and two-phase flow during cooling. In the model under consideration, interval parameters were assumed. The base of the mathematical model is given by the Fourier equation, with a heat source including the degree of ice crystallisation. The formulated problem has been solved using the interval version of the finite difference method, with the rules of the directed interval arithmetic. The fourth order Runge–Kutta algorithm has been applied to determine the degree of crystallisation. In the final part of this paper, examples of numerical computations are presented.

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Modeling of heat transfer distribution in tumor breast cancer during microwave ablation therapy

Selmi

Iqbal

Smida

et al. 2022

Micro & Optical Tech Letters

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Microwave (MW) ablation is a strong tool that has been used in clinical therapy for numerous cancer tumors. This method takes advantage of the heat from MW energy produced by an antenna to destroy cancer cells without causing damage to the healthy tissue. This technique's efficiency is correlated to the temperature reached during the MW process. The antenna immersed in a tissue radiates a power that heats the living tissue, that is, the cancer cells and their environment. The administered power leads to a temperature increase that should attain a particular level to enable the killing of the dangerous cancer cells. On the other hand, it should not exceed another level to preserve healthy cells. Bioheat and electromagnetic equations are used to model the thermal ablation process. The finite element method is used to solve the governing equations used to model the process. This article is devoted to studying the influence of the type of antenna on the temperature distribution in the breast tissue, the specific absorption rate (SAR), and the amount of the necrotic tissue. Two configurations have been investigated, namely, a singleor a double-slot antenna. The obtained results reveal that the temperature, SAR, and the fraction of necrotic of the breast tissue are higher when a singleslot antenna is used. In addition, the input MW power has an important effect on the results. Some precautions should be taken in advance to prevent the temperature from rising to 50°C, which may induce damage to healthy cells.

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Thermal management in a biological tissue in order to destroy tissue under local heating process

Cited by 18 publications

References 53 publications

Computational Modeling on Drugs Effects for Left Ventricle in Cardiomyopathy Disease

Computational Modeling on Drugs Effects for Left Ventricle in Cardiomyopathy Disease

Crystallisation Degree Analysis during Cryopreservation of Biological Tissue Applying Interval Arithmetic

Modeling of heat transfer distribution in tumor breast cancer during microwave ablation therapy

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