Computational Modeling of Aerosol Deposition in Respiratory Tract: A Review

Rostami, Ali

doi:10.1080/08958370802448987

Cited by 116 publications

(92 citation statements)

References 72 publications

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“…Such models have been applied to upper, bronchial, and alveolar airways (Asgharian et al, 2012;Balásházy & Hofmann, 1993;Balásházy, Hofmann, Farkas, & Madas, 2008;Corley et al, 2012;Darquenne, Harrington, & Prisk, 2009;Ferron et al, 1991;Heistracher & Hofmann, 1995;Schroeter, Asgharian, Price, & McClellan, 2013;Zhang, Kleinstreuer, & Kim, 2009;). CFD models have proven useful for calculating detailed deposition patterns, but validation of the results are still under development (Hofmann, 2011;Oldham, Phalen, & Budiman, 2009;Rostami, 2009). …”

Section: Computational Fluid Dynamics Models Of Inhaled Particle Depomentioning

confidence: 99%

“…Currently, modelers have access to a substantial number of quantitative physiological and anatomical data sets (e.g., Asgharian et al, 2001Asgharian et al, , 2006Asgharian et al, , 2012Corley, Kabilan, & Kuprat, 2012;Newton, 1995, Chapter 5;Yeh & Schum, 1980). Also, medical scanning techniques are often used to define respiratory airways for aerosol deposition modeling Rostami, 2009). …”

Section: Respiratory Tract Anatomy and Physiologymentioning

confidence: 99%

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The evolution of inhaled particle dose modeling: A review

Phalen

Raabe

2016

Journal of Aerosol Science

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a b s t r a c tInhaled aerosol dose models play critical roles in medicine, the regulation of air pollutants and basic research. The models fall into several categories: traditional, computational fluid dynamical (CFD), physiologically based pharmacokinetic (PBPK), empirical, semi-empirical, and "reference". Each type of model has its strengths and weaknesses, so multiple models are commonly used for practical applications. Aerosol dose models combine information on aerosol behavior and the anatomy and physiology of exposed human and laboratory animal subjects. Similar models are used for in-vitro studies. Several notable advances have been made in aerosol dose modeling in the past 80 years. The pioneers include Walter Findeisen, who in 1935 published the first traditional model and established the structure of modern models. His model combined aerosol behavior with simplified respiratory tract structures. Ewald Weibel established morphometric techniques for the lung in 1963 that are still used to develop data for modeling today. Advances in scanning techniques have similarly contributed to the knowledge of respiratory tract structure and its use in aerosol dose modeling. Several scientists and research groups have developed and advanced traditional, CFD, and PBPK models. Current issues under study include understanding individual and species differences; examining localized particle deposition; modeling non-ideal aerosols and nanoparticle behavior; linking the regions of the respiratory tract airways from nasal-oral to alveolar; and developing sophisticated supporting software. Although a complete history of inhaled aerosol dose modeling is far too extensive to cover here, selected highlights are described in this paper.

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Section: Computational Fluid Dynamics Models Of Inhaled Particle Depomentioning

confidence: 99%

Section: Respiratory Tract Anatomy and Physiologymentioning

confidence: 99%

The evolution of inhaled particle dose modeling: A review

Phalen

Raabe

2016

Journal of Aerosol Science

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“…Besides the ICRP and NCRP models, there are other models such as trumpet models (Yu 1978), deterministic models such as multiple pathway particle dosimetry (MPPD) (Asgharian et al 2001), stochastic models (Koblinger and Hofmann 1985), or models that implement computational fluid and particle dynamics (Zhang et al 2008;Ma et al 2009). A review of these models can be found elsewhere (Rostami 2009;Hofmann 2011;Hussain et al 2011). Although the deterministic, stochastic models and fluid and particle dynamic simulations are particularly useful in capturing the finer details of the deposition mechanisms in the lungs, we kept our overall project goal of risk assessment in our minds while selecting our model.…”

Section: Introductionmentioning

confidence: 99%

“…Rather, compartment-specific information as provided by ICRP model should suffice. Additionally, recent reviews of lung deposition models suggest that despite being simple, the ICRP model captures deposition in the lungs as well as other more complex models (Rostami 2009;Hofmann 2011).…”

Section: Introductionmentioning

confidence: 99%

Enhancement of ICRP's Lung Deposition Model for Pathogenic Bioaerosols

Guha

Hariharan

Myers

2014

Aerosol Science and Technology

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Terrorist attacks using pathogenic bioaerosols pose a significant public-health threat. Modeling the risk associated with such attacks is valuable from the standpoint of disaster preparedness. To attain greater flexibility in bioterrorism risk modeling, we have developed an open-source lung deposition code based on the International Committee for Radiological Protection (ICRP) Publication 66 (ICRP 1994). This article describes modifications to ICRP's lung deposition model to fit the bioaerosol context and discusses the impact of exposure from a few monodisperse pathogenic toxins such as botulinum toxin, influenza virus, and Bacillus anthracis to infants and adults. As most existing commercial lung deposition codes are not opensource, this code provides users a platform template that can be modified to meet their needs.

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“…the reviews of Hofmann [2] or Rostami [4]). However, only rarely have they been performed on realistic lung geometries and validated by reliable experimental data on the identical geometries.…”

Section: Introductionmentioning

confidence: 99%

Prediction of localized aerosol deposition in a realistic replica of human airways using experimental data and numerical simulation

et al. 2017

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Abstract. The presence of aerosol deposition hot-spots in human airways presumably contributes to development of various diseases. The overall aerosol deposition in human lungs can be predicted with sufficient accuracy nowadays. However, the prediction of localized aerosol deposition poses arduous challenge, namely in diseased lungs. Numerical simulation is considered to be a promising tool for the successful prediction. Yet, the validation of such simulations is difficult to perform, as not enough experimental data acquired using realistic airway replicas is available. This paper presents a first comparison of localized deposition measurement and simulation performed on the identical realistic geometry. The analysis indicates that both approaches yield similar results for low Reynolds number flows.

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Computational Modeling of Aerosol Deposition in Respiratory Tract: A Review

Cited by 116 publications

References 72 publications

The evolution of inhaled particle dose modeling: A review

The evolution of inhaled particle dose modeling: A review

Enhancement of ICRP's Lung Deposition Model for Pathogenic Bioaerosols

Prediction of localized aerosol deposition in a realistic replica of human airways using experimental data and numerical simulation

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