A thermo-fluid analysis in magnetic hyperthermia

Astefanoaei, Iordana; Dumitru, Ioan; Stancu, A.; Chiriac, H.

doi:10.1088/1674-1056/23/4/044401

Cited by 21 publications

(12 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thermal characteristics of biological tissues during the simulation. [2] Parameter Tumor Liver Blood…”

Section: Materials Propertiesmentioning

confidence: 99%

“…Magnetic hyperthermia has been considered to be a promising therapeutic method due to its low side effects and less trauma in recent years. [1][2][3] The most important factor for the success of therapy is to control the treatment temperature for tumor region within a range from 42 • C to 46 • C, in which malignant cells can be damaged due to their thermal sensitivity while healthy cells can survive. [4,5] However, the treatment temperature distribution inside the tumor region should be determined by many factors, and the most two important elements are the power dissipation for magnetic nanoparticles (MNPs) and the nanofluid concentration distribution inside the tumor region.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Effect of bio-tissue deformation behavior due to intratumoral injection on magnetic hyperthermia

Tang¹,

Zou²,

Flesch³

et al. 2023

Chinese Phys. B

View full text Add to dashboard Cite

Thermal damage of malignant tissue is generally determined not only by the characteristics of bio-tissues and nanoparticles but also the nanofluid concentration distributions due to different injection methods during magnetic hyperthermia. The latter has more advantages in improving the therapeutic effect with respect to the former since it is a determining factor for the uniformity of nanofluid concentration distribution inside the tumor region. This study investigates the effect of bio-tissue deformation due to intratumoral injection on the thermal damage behavior and treatment temperature distribution during magnetic hyperthermia, in which both the bio-tissue deformation due to nanofluid injection and the mass diffusion after injection behavior are taken into consideration. The nanofluid flow behavior is illustrated by two different theoretical models in this study, which are Navier–Stokes equation inside syringe needle and modified Darcy’s law inside bio-tissue. The diffusion behavior after nanofluid injection is expressed by a modified convection–diffusion equation. A proposed three-dimensional liver model based on the angiographic data is set to be the research object in this study, in which all bio-tissues are assumed to be deformable porous media. Simulation results demonstrate that the injection point for syringe needle can generally achieve the maximum value in the tissue pressure, deformation degree, and interstitial flow velocity during the injection process, all of which then drop sharply with the distance away from the injection center. In addition to the bio-tissue deformation due to injection behavior, the treatment temperature is also highly relevant to determine both the diffusion duration and blood perfusion rate due to the thermal damage during the therapy.

show abstract

“…Thermal characteristics of biological tissues during the simulation. [2] Parameter Tumor Liver Blood…”

Section: Materials Propertiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Effect of bio-tissue deformation behavior due to intratumoral injection on magnetic hyperthermia

Tang¹,

Zou²,

Flesch³

et al. 2023

Chinese Phys. B

View full text Add to dashboard Cite

show abstract

“…The temperature distribution can be predicted by Pennes bio-heat transfer (PBHT) equation. [26,27] In this study, the MNPs are supposed to exist just within tumor region, so two different PBHT equations are applied to describe the heat transfer process for malignant and healthy regions:…”

Section: Treatment Temperature Distribution Based On Mpi Concentrationmentioning

confidence: 99%

Extraction method of nanoparticles concentration distribution from magnetic particle image and its application in thermal damage of magnetic hyperthermia

et al. 2023

View full text Add to dashboard Cite

Magnetic particle imaging (MPI) technology can generate a real-time magnetic nanoparticle (MNP) distribution image for biological tissues, and its use can overcome the limitations imposed in magnetic hyperthermia treatments by the unpredictable MNP distribution after the intratumoral injection of nanofluid. However, the MNP concentration distribution is generally difficult to be extracted from MPI images. This study proposes an approach to extract the corresponding concentration value of each pixel from an MPI image by a least squares method (LSM), which is then translated as MNP concentration distribution by an interpolation function. The resulting MPI-based concentration distribution is used to evaluate the treatment effect and the results are compared with the ones of two baseline cases under the same dose: uniform distribution and MPI-based distribution considering diffusion. Additionally, the treatment effect for all these cases is affected by the blood perfusion rate, which is also investigated deeply in this study. The results demonstrate that the proposed method can be used to effectively reconstruct the concentration distribution from MPI images, and that the weighted LSM considering a quartic polynomial for interpolation provides the best results with respect to other cases considered. Furthermore, the results show that the uniformity of MNP distribution has a positive correlation with both therapeutic temperature distribution and thermal damage degree for the same dose and a critical power dissipation value in the MNPs. The MNPs uniformity inside biological tissue can be improved by the diffusion behavior after the nanofluid injection, which can ultimately reflect as an improvement of treatment effect. In addition, the blood perfusion rate considering local temperature can have a positive effect on the treatment compared to the case which considers a constant value during magnetic hyperthermia.

show abstract

“…( 14) will obtain a minimal value when the injection dose and site are both optimal by considering the proposed SA algorithm. The injection dose in this proposed model is related to the nanofluid area D = πR 2 1 after injection as well as the power density of MNPs Q MNP , while the injection site is determined by the ycoordinate value of the injection center. The value of objective function depends on the temperature profile of the proposed model, which is obtained by solving Eq.…”

Section: Optimization Procedures For Injection Behaviormentioning

confidence: 99%

“…Magnetic hyperthermia, as a low invasive therapeutic method, [1] has attracted more and more attentions in terms of tumor ablation [2] and heat-induced immunity. [3] Nanofluid containing magnetic nanoparticles (MNPs) needs to be injected into the tumor region prior to the treatment and then dissipates the heat inside tumor region for therapy under the action of an applied magnetic field.…”

Section: Introductionmentioning

confidence: 99%

Thermal apoptosis analysis considering injection behavior optimization and mass diffusion during magnetic hyperthermia

Tang¹,

Zou²,

Flesch³

et al. 2022

Chinese Phys. B

View full text Add to dashboard Cite

Thermally induced apoptosis for tumors depends mainly on the intrinsic characteristics of biological tissues as well as treatment temperature profile during magnetic hyperthermia. Further, treatment temperature distribution inside tumor depends on the injection behavior of irregular tumors, such as the injection dose and the injection location of nanofluids. In order to improve the treatment effect, the simulated annealing algorithm is adopted in this work to optimize the nanofluid injection behavior, and the improved Arrhenius model is used to evaluate the malignant ablations for three typical malignant tumor cell models. In addition, both the injection behavior optimization and the mass diffusion of nanofluid are both taken into consideration in order to improve the treatment effect. The simulation results demonstrate that the injection behavior can be optimized effectively by the proposed optimization method before therapy, the result of which can also conduce to improving the thermal apoptosis possibility for proposed typical malignant cells. Furthermore, an effective approach is also employed by considering longer diffusion duration and correct power dissipation at the same time. The results show that a better result can then be obtained than those in other cases when the power dissipation of MNPs is set to be Q MNP = 5.4 × 107 W·m3 and the diffusion time is 16 h.

show abstract

A thermo-fluid analysis in magnetic hyperthermia

Cited by 21 publications

References 21 publications

Effect of bio-tissue deformation behavior due to intratumoral injection on magnetic hyperthermia

Effect of bio-tissue deformation behavior due to intratumoral injection on magnetic hyperthermia

Extraction method of nanoparticles concentration distribution from magnetic particle image and its application in thermal damage of magnetic hyperthermia

Thermal apoptosis analysis considering injection behavior optimization and mass diffusion during magnetic hyperthermia

Contact Info

Product

Resources

About