Magnetic drug targeting through a realistic model of human tracheobronchial airways using computational fluid and particle dynamics

Pourmehran, O.; Gorji, Tahereh B.; Gorji-Bandpy, M.

doi:10.1007/s10237-016-0768-3

Cited by 91 publications

(34 citation statements)

References 28 publications

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“…24 and 41.14, respectively. It is estimated that increasing the magnetic number deliberately enhances the deposition on the targeted position [26]. From the deposition scenario of 1-nm diameter particle we found that, under the effect of magnetic number 2.5 and the flow rate of 7.5 lpm, a higher number of particles are deposited in Position 1 and Position 2 compare to other magnetic numbers.…”

Section: Resultsmentioning

confidence: 88%

“…Air was considered as the working fluid with constant density (ρ), viscosity (µ) and fluid static pressure (p). The governing equations for continuity and momentum equations [26] are given as:…”

Section: Methodsmentioning

confidence: 99%

“…where µ 0 is the magnetic permeability, χ is the magnetic susceptibility of the particle, V p is the particle volume, and → H is the magnetic field intensity. The magnetic susceptibility of the particle equation [26] is defined as:…”

Section: Methodsmentioning

confidence: 99%

“…They revealed that a non-invasive route of administration might change the way lung cancer is treated in the future. Pourmehran et al have used Lagrangian magnetic particle tracking using a discrete phase model to investigate the effect of a magnetic field on the behavior of the magnetic drug carrier [26]. Pourmehran et al have used a realistic model to investigate the human tracheobronchial airways using computational fluid and particle dynamics [26].…”

Section: Introductionmentioning

confidence: 99%

“…Pourmehran et al have used Lagrangian magnetic particle tracking using a discrete phase model to investigate the effect of a magnetic field on the behavior of the magnetic drug carrier [26]. Pourmehran et al have used a realistic model to investigate the human tracheobronchial airways using computational fluid and particle dynamics [26]. They have developed an optimal magnetic drug characteristics coordination and magnetic impact for drug delivery to the human lung.…”

Section: Introductionmentioning

confidence: 99%

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Targeted Drug Delivery of Magnetic Nano-Particle in the Specific Lung Region

2020

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Aerosolized drug inhalation plays an important role in the treatment of respiratory diseases. All of the published in silico, in vivo, and in vitro studies have improved the knowledge of aerosol delivery in the human respiratory system. However, aerosolized magnetic nano-particle (MNP) transport and deposition (TD) for the specific position of the human lung are still unavailable in the literature. Therefore, this study is aimed to provide an understanding of the magnetic nano-particle TD in the targeted region by imposing an external magnetic field for the development of future therapeutics. Uniform aerosolized nano-particle TD in the specific position of the lung airways will be modelled by adopting turbulence k–ω low Reynolds number simulation. The Euler–Lagrange (E–L) approach and the magneto hydrodynamics (MHD) model are incorporated in the ANSYS fluent (18.0) solver to investigate the targeted nano-particle TD. The human physical activity conditions of sleeping, resting, light activity and fast breathing are considered in this study. The aerosolized drug particles are navigated to the targeted position under the influence of external magnetic force (EMF), which is applied in two different positions of the two-generation lung airways. A numerical particle tracing model is also developed to predict the magnetic drug targeting behavior in the lung. The numerical results reveal that nano-particle deposition efficiency (DE) in two different magnetic field position is different for various physical activities, which could be helpful for targeted drug delivery to a specific region of the lung after extensive clinical trials. This process will also be cost-effective and will minimize unwanted side effects due to systemic drug distribution in the lung.

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Section: Resultsmentioning

confidence: 88%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Targeted Drug Delivery of Magnetic Nano-Particle in the Specific Lung Region

2020

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A quasi‐3D wire approach to model pulmonary airflow in human airways

Kannan

Chen

Singh

et al. 2016

Numer Methods Biomed Eng

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The models used for modeling the airflow in the human airways are either 0-dimensional compartmental or full 3-dimensional (3D) computational fluid dynamics (CFD) models. In the former, airways are treated as compartments, and the computations are performed with several assumptions, thereby generating a low-fidelity solution. The CFD method displays extremely high fidelity since the solution is obtained by solving the conservation equations in a physiologically consistent geometry. However, CFD models (1) require millions of degrees of freedom to accurately describe the geometry and to reduce the discretization errors, (2) have convergence problems, and (3) require several days to simulate a few breathing cycles. In this paper, we present a novel, fast-running, and robust quasi-3D wire model for modeling the airflow in the human lung airway. The wire mesh is obtained by contracting the high-fidelity lung airway surface mesh to a system of connected wires, with well-defined radii. The conservation equations are then solved in each wire. These wire meshes have around O(1000) degrees of freedom and hence are 3000 to 25 000 times faster than their CFD counterparts. The 3D spatial nature is also preserved since these wires are contracted out of the actual lung STL surface. The pressure readings between the 2 approaches showed minor difference (maximum error = 15%). In general, this formulation is fast and robust, allows geometric changes, and delivers high-fidelity solutions. Hence, this approach has great potential for more complicated problems including modeling of constricted/diseased lung sections and for calibrating the lung flow resistances through parameter inversion.

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Dynamics of Oscillatory Fluid Flow Inside an Elastic Human Airway

Verma

2022

Forum for Interdisciplinary Mathematics

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Magnetic drug targeting through a realistic model of human tracheobronchial airways using computational fluid and particle dynamics

Cited by 91 publications

References 28 publications

Targeted Drug Delivery of Magnetic Nano-Particle in the Specific Lung Region

Targeted Drug Delivery of Magnetic Nano-Particle in the Specific Lung Region

A quasi‐3D wire approach to model pulmonary airflow in human airways

Dynamics of Oscillatory Fluid Flow Inside an Elastic Human Airway

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