A three-dimensional model and numerical simulation regarding thermoseed mediated magnetic induction therapy conformal hyperthermia

Wang, Heng; Wu, Jianan; Zhuo, Zihan; Tang, Jintian

doi:10.3233/thc-161211

Cited by 11 publications

(5 citation statements)

References 19 publications

(19 reference statements)

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“…These parameters for the breast tissue are calculated to be A = 1.18×10 44 s -1 and Δ E = 3.02×10 5 J mol -1 [ 33 ]. After calculating the degree of tissue injury, the fraction of necrotic tissue ( θ d ) is expressed by [ 31 , 32 ]: …”

Section: Methodsmentioning

confidence: 99%

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Numerical study of magnetic hyperthermia ablation of breast tumor on an anatomically realistic breast phantom

Rahpeima

Lin

2022

PLoS ONE

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Magnetic fluid hyperthermia (MFH) is a novel reliable technique with excellent potential for thermal therapies and treating breast tumours. This method involves injecting a magnetic nanofluid into the tumour and applying an external AC magnetic field to induce heat in the magnetic nanoparticles (MNPs) and raise the tumour temperature to ablation temperature ranges. Because of the complexity of considering and coupling all different physics involves in this phenomenon and also due to the intricacy of a thorough FEM numerical study, few FEM-based studies address the entire MFH process as similar to reality as possible. The current study investigates a FEM-based three-dimensional numerical simulation of MFH of breast tumours as a multi-physics problem. An anatomically realistic breast phantom (ARBP) is considered, some magnetic nanofluid is injected inside the tumour, and the diffusion phenomenon is simulated. Then, the amount of heat generated in the MNP-saturated tumour area due to an external AC magnetic field is simulated. In the end, the fraction of tumour tissue necrotized by this temperature rise is evaluated. The study’s results demonstrate that by injecting nanofluid and utilizing seven circular copper windings with each coil carrying 400 A current with a frequency of 400 kHz for generating the external AC magnetic field, the temperature in tumour tissue can be raised to a maximum of about 51.4°C, which leads to necrosis of entire tumour tissue after 30 minutes of electromagnetic field (EMF) exposure. This numerical platform can depict all four various physics involved in the MFH of breast tumours by numerically solving all different equation sets coupled together with high precision. Thus, the proposed model can be utilized by clinicians as a reliable tool for predicting and identifying the approximate amount of temperature rise and the necrotic fraction of breast tumour, which can be very useful to opt for the best MFH therapeutic procedure and conditions based on various patients. In future works, this numerical platform’s results should be compared with experimental in-vivo results to improve and modify this platform in order to be ready for clinical applications.

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Section: Methodsmentioning

confidence: 99%

“…The degree of tissue injury due to the hyperthermia process can be evaluated by the Arrhenius kinetic model as follows [17,[30][31][32]:…”

Section: Prediction Of the Fraction Of Necrotic Tissuementioning

confidence: 99%

Numerical study of magnetic hyperthermia ablation of breast tumor on an anatomically realistic breast phantom

Rahpeima

Lin

2022

PLoS ONE

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“…The evaluation of tissue injury resulting from the hyperthermia process can be conducted using the Arrhenius kinetic model, as described in references [43,44]:…”

Section: Prediction Of the Fraction Of Necrotic Tissuementioning

confidence: 99%

“…For breast tissue, these parameters were calculated as A = 1.18 × 10 44 s -1 and ∆E = 3.02 × 10 5 Jmol -1 . Once the degree of tissue injury (α) is determined, the fraction of necrotic tissue (θ d ) can be expressed accordingly, as detailed in reference [44]:…”

Section: Prediction Of the Fraction Of Necrotic Tissuementioning

confidence: 99%

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A Holistic Physics-Informed Neural Network Solution for Precise Destruction of Breast Tumors using High-Intensity Focused Ultrasound on a Realistic Breast Model

Lari,

Rajabzadeh,

Kohandel

et al. 2024

Preprint

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This study presents a novel approach for the precise ablation of breast tumors using high-intensity focused ultrasound (HIFU), leveraging a physics-informed neural network (PINN) integrated with a realistic breast model. The potential of high-intensity focused ultrasound (HIFU) in eliminating breast tumors has shown significant promise. This technique employs concentrated ultrasonic waves to generate intense heat, effectively destroying cancerous tissue. In previous finite element method (FEM) models, the computational demands of handling extensive datasets, multiple dimensions, and discretization pose significant challenges. Our PINN-based solution operates efficiently in a mesh-free domain, achieving remarkable accuracy with significantly reduced computational demands, compared to conventional FEM techniques. Additionally, employing PINN for estimating partial differential equations (PDE) solutions can notably decrease the enormous number of discretized elements needed. The model employs a bowlshaped acoustic transducer to focus ultrasound waves accurately on the tumor location. The simulation results offer detailed insights into each step of the HIFU process. By applying a 3.8 nm displacement amplitude of transducer input pulse at a frequency of 1.1 MHz for 1 second at the focal point, the focal point temperature reaches 38.4 °C. Subsequently, continuing the ablation process for another 90 seconds without the acoustic source leads to extensive necrosis of the tumor tissues. Validation of the PINN model’s accuracy was conducted through FEM analysis and a series of tests using ex vivo bovine liver, aligning closely with real-world HIFU therapy scenarios. This innovative platform provides physicians with a predictive tool to estimate the necrosis of tumor tissue, facilitating the customization of HIFU treatment strategies for individual breast cancer patients.

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A mathematical modeling approach toward magnetic fluid hyperthermia of cancer and unfolding heating mechanism

Suleman

Riaz

Jalil

2020

J Therm Anal Calorim

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A three-dimensional model and numerical simulation regarding thermoseed mediated magnetic induction therapy conformal hyperthermia

Cited by 11 publications

References 19 publications

Numerical study of magnetic hyperthermia ablation of breast tumor on an anatomically realistic breast phantom

Numerical study of magnetic hyperthermia ablation of breast tumor on an anatomically realistic breast phantom

A Holistic Physics-Informed Neural Network Solution for Precise Destruction of Breast Tumors using High-Intensity Focused Ultrasound on a Realistic Breast Model

A mathematical modeling approach toward magnetic fluid hyperthermia of cancer and unfolding heating mechanism

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