Distribution of nanoparticle depositions after a single breathing in a murine pulmonary acinus model

Sera, Toshihiro; Higashi, Ryosuke; Naito, Hisashi; Matsumoto, Takeshi; Tanaka, Masao

doi:10.1016/j.ijheatmasstransfer.2016.12.057

Cited by 11 publications

(4 citation statements)

References 31 publications

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“…Talaat and Xi [75, 76] developed a CFD model for transient particle deposition in terminal alveoli using rhythmically moving alveolar boundary conditions in phase with measured chest wall motions and tidal volumes and showed that the periodic alveolar wall motion leads to enhanced particle dispersion that reduces particle deposition in the alveoli. Sera et al [77] developed a pulmonary acinar model based on high-resolution CT scans of a mammalian lung and showed that the particle deposition in the realistic pulmonary acinar model is higher than in an idealized model. In highly complex but smaller scale models, of for example one alveolus, the importance of hysteresis in alveolar expansion and contraction has been demonstrated [78].…”

Section: State Of the Art In Regional Airway Aerosol Deposition Modelingmentioning

confidence: 99%

Use of computational fluid dynamics deposition modeling in respiratory drug delivery

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Bass

Dutta

et al. 2018

Expert Opinion on Drug Delivery

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Introduction: Respiratory drug delivery is a surprisingly complex process with a number of physical and biological challenges. Computational fluid dynamics (CFD) is a scientific simulation technique that is capable of providing spatially and temporally resolved predictions of many aspects related to respiratory drug delivery from initial aerosol formation through respiratory cellular drug absorption. Areas Covered: This review article focuses on CFD-based deposition modeling applied to pharmaceutical aerosols. Areas covered include the development of new complete-airway CFD deposition models and the application of these models to develop a next generation of respiratory drug delivery strategies. Expert Opinion: Complete-airway deposition modeling is a valuable research tool that can improve our understanding of pharmaceutical aerosol delivery and is already supporting medical hypotheses, such as the expected under-treatment of the small airways in asthma. These complete-airway models are also being used to advance next generation aerosol delivery strategies, like controlled condensational growth. We envision future applications of CFD deposition modeling to reduce the need for human subject testing in developing new devices and formulations, to help establish bioequivalence for the accelerated approval of generic inhalers, and to provide valuable new insights related to drug dissolution and clearance leading to microdosimetry maps of drug absorption.

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Section: State Of the Art In Regional Airway Aerosol Deposition Modelingmentioning

confidence: 99%

Use of computational fluid dynamics deposition modeling in respiratory drug delivery

Longest

Bass

Dutta

et al. 2018

Expert Opinion on Drug Delivery

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“…Sera et al used an acinar model obtained from synchrotron micro‐CT in a mouse. Simulations of nanoparticle deposition were reported from their acinus model . The differences and similarities in deposition with a conventional space‐filling polyhedral acinus are not clear.…”

Section: Image‐based Computational Fluid Dynamics Of Airflow In the Amentioning

confidence: 99%

“…Figure 7 shows an example of a 3D CFD model of the acinus extracted from micro-CT. 66 It is immediately clear that an acinus is a complex conglomerate of many alveoli and not easily tractable. Sera et al 67,68 used an acinar model obtained from synchrotron micro-CT in a mouse. Simulations of nanoparticle deposition were reported from their acinus model.…”

Section: Image-based Computational Fluid Dynamics Of Airflow In the Amentioning

confidence: 99%

“…Simulations of nanoparticle deposition were reported from their acinus model. 68 The differences and similarities in deposition with a conventional space-filling polyhedral acinus are not clear. Henry et al 69 used image-based alveoli geometry obtained using synchrotron radiation-based X-ray tomographic microscopy.…”

Section: Image-based Computational Fluid Dynamics Of Airflow In the Amentioning

confidence: 99%

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Image‐based computational fluid dynamics in the lung: virtual reality or new clinical practice?

Burrowes

Backer

Kumar

2017

WIREs Mechanisms of Disease

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The development and implementation of personalized medicine is paramount to improving the efficiency and efficacy of patient care. In the respiratory system, function is largely dictated by the choreographed movement of air and blood to the gas exchange surface. The passage of air begins in the upper airways, either via the mouth or nose, and terminates at the alveolar interface, while blood flows from the heart to the alveoli and back again. Computational fluid dynamics (CFD) is a well-established tool for predicting fluid flows and pressure distributions within complex systems. Traditionally CFD has been used to aid in the effective or improved design of a system or device; however, it has become increasingly exploited in biological and medical-based applications further broadening the scope of this computational technique. In this review, we discuss the advancement in application of CFD to the respiratory system and the contributions CFD is currently making toward improving precision medicine. The key areas CFD has been applied to in the pulmonary system are in predicting fluid transport and aerosol distribution within the airways. Here we focus our discussion on fluid flows and in particular on image-based clinically focused CFD in the ventilatory system. We discuss studies spanning from the paranasal sinuses through the conducting airways down to the level of the alveolar airways. The combination of imaging and CFD is enabling improved device design in aerosol transport, improved biomarkers of lung function in clinical trials, and improved predictions and assessment of surgical interventions in the nasal sinuses. WIREs Syst Biol Med 2017, 9:e1392. doi: 10.1002/wsbm.1392 For further resources related to this article, please visit the WIREs website.

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Simulation of deformation and flow of pulmonary acinus using morphing compared with self-similar deformation

Maruyama,

Suzuki,

Miyachi

et al. 2024

J Vis

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In previous studies of the flow inside the pulmonary acinus, the deformation of acinus was limited because a relatively simple deformation methods, such as self-similar deformation, is used. However, acinus deformation may be complex and heterogeneous. The purpose of this study is to evaluate the influence of the difference in wall deformation between the morphed model and the self-similar deformation model on flow field. The heterogeneous deformation achieved in this study is more actual by using the morphing technology that continuously changes from one shape to another. STAR-CCM + Ver. 13.06 (Siemens PLM Software) was used for numerical calculation, and the governing equations of working fluid are continuous equations and Navier–Stokes equations (NS equations). As a result, the differences in deformation influenced the formation of streamlines at the distal end of the alveolar regions. In the self-similar deformation model, the flow does not change throughout a cycle, whereas in the morphed model, the flow changes during a cycle. Graphic abstract

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Distribution of nanoparticle depositions after a single breathing in a murine pulmonary acinus model

Cited by 11 publications

References 31 publications

Use of computational fluid dynamics deposition modeling in respiratory drug delivery

Use of computational fluid dynamics deposition modeling in respiratory drug delivery

Image‐based computational fluid dynamics in the lung: virtual reality or new clinical practice?

Simulation of deformation and flow of pulmonary acinus using morphing compared with self-similar deformation

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