Progress on numerical simulation of the deposition of inhaled particles in human pulmonary acinus region_Journal of Biomedical Engineering

Authors：

LI Penghui ¹ , LI Rong ² , QIAO Yang ¹ ,  XU Xinxi ¹

1. Institute of Medical Support Technology, Academe of System Engineering, Academy of Military Sciences, Tianjin 300161, P.R.China;
2. Department of Military Preventive Medicine, Logistics University of Chinese People's Armed Police Force, Tianjin 300309, P.R.China;

Corresponding author：

Keywords：

human pulmonary acinus; deposition of inhaled particles; numerical simulation; affecting factors

DOI：

10.7507/1001-5515.201808001

Video：

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The inhalation and deposition of particles in human pulmonary acinus region can cause lung diseases. Numerical simulation of the deposition of inhaled particles in the pulmonary acinus region has offered an effective gateway to the prevention and clinical treatment of these diseases. Based on some important affecting factors such as pulmonary acinar models, model motion, breathing patterns, particulate characteristics, lung diseases and ages, the present research results of numerical simulation in human pulmonary acinus region were summarized and analyzed, and the future development directions were put forward in this paper, providing new insights into the further research and application of the numerical simulation in the pulmonary acinus region.

Citation： LI Penghui, LI Rong, QIAO Yang, XU Xinxi. Progress on numerical simulation of the deposition of inhaled particles in human pulmonary acinus region. Journal of Biomedical Engineering, 2019, 36(3): 499-503. doi: 10.7507/1001-5515.201808001 Copy

1.	胡国平, 钟南山, 冉丕鑫, 等. 中国的大气污染和 COPD. 中国胸心血管外科临床杂志, 2016, 23(2): 107-112.
2.	Farkas A, Jokay A, Füri P, et al. Computer modelling as a tool in characterization and optimization of aerosol drug delivery. Aerosol and Air Quality Research, 2015, 15(6): 2466-2474.
3.	Weibel E R. Morphometry of the human lung. New York: Springer Berlin Heidelberg, 1963: 1-151.
4.	李蓉, 赵秀国, 刘亚军, 等. 可吸入颗粒物在人体呼吸系统沉积的数值模拟与实验研究进展. 生物医学工程学杂志, 2017, 34(4): 637-642.
5.	Talaat K, Xi J. Computational modeling of aerosol transport, dispersion, and deposition in rhythmically expanding and contracting terminal alveoli. Journal of Aerosol Science, 2017, 112: 19-33.
6.	Sznitman J, Heimsch F, Heimsch T, et al. Three-dimensional convective alveolar flow induced by rhythmic breathing motion of the pulmonary acinus. J Biomech Eng, 2007, 129(5): 658-665.
7.	李振振. 肺腺泡内颗粒物的沉积及阻塞影响的数值模拟研究. 西安: 西安建筑科技大学, 2016.
8.	Fung Y C. A model of the lung structure and its validation. J Appl Physiol, 1988, 64(5): 2132-2141.
9.	Haefeli-Bleuer B, Weibel E R. Morphometry of the human pulmonary acinus. Anat Rec, 1988, 220(4): 401-414.
10.	Khajeh-Hosseini-Dalasm N, Longest P W. Deposition of particles in the alveolar airways: inhalation and breath-hold with pharmaceutical aerosols. Journal of Aerosol Science, 2015, 79: 15-30.
11.	Oakes J M, Hofemeier P, Vignon-Clementel I E, et al. Aerosols in healthy and emphysematous in silico pulmonary acinar rat models. J Biomech, 2016, 49(11): 2213-2220.
12.	Katan J T, Hofemeier P, Sznitman J. Computational models of inhalation therapy in early childhood: therapeutic aerosols in the developing acinus. J Aerosol Med Pulm Drug Deliv, 2016, 29(3): 288-298.
13.	Hofemeier P, Sznitman J. The role of anisotropic expansion for pulmonary acinar aerosol deposition. J Biomech, 2016, 49(14): 3543-3548.
14.	Hofemeier P, Shachar-Berman L, Tenenbaum-Katan J, et al. Unsteady diffusional screening in 3D pulmonary acinar structures: from infancy to adulthood. J Biomech, 2016, 49(11): 2193-2200.
15.	Ostrovski Y, Hofemeier P, Sznitman J. Augmenting regional and targeted delivery in the pulmonary acinus using magnetic particles. Int J Nanomedicine, 2016, 11: 3385-3395.
16.	Koshiyama K, Wada S. Mathematical model of a heterogeneous pulmonary acinus structure. Comput Biol Med, 2015, 62: 25-32.
17.	Mercer R R, Crapo J D. Three-dimensional reconstruction of the rat acinus. J Appl Physiol, 1987, 63(2): 785.
18.	Hofemeier P, Koshiyama K, Wada S, et al. One (sub-)acinus for all: fate of inhaled aerosols in heterogeneous pulmonary acinar structures. European Journal of Pharmaceutical Sciences, 2018, 113: 53-63.
19.	Sera T, Higashi R, Naito H, et al. Distribution of nanoparticle depositions after a single breathing in a murine pulmonary acinus model. Int J Heat Mass Transf, 2017, 108: 730-739.
20.	Puliyakote K, Srikumar A. Comprehensive assessment and characterization of pulmonary acinar morphometry using multi-resolution micro x-ray computed tomography. Iowa: The University of Iowa, 2016.
21.	黄俊. 可吸入颗粒在肺泡中沉积的数值模拟. 杭州: 浙江大学, 2016.
22.	Iranica S, Monjezi M, Saidi M S. Fluid-structure interaction analysis of airrow in pulmonary alveoli during normal breathing in healthy humans. Scientia Iranica, 2016, 23(4): 1826-1836.
23.	Aghasafari P, Ibrahim I B, Pidaparti R. Strain-induced inflammation in pulmonary alveolar tissue due to mechanical ventilation. Biomech Model Mechanobiol, 2017, 16(4): 1103-1118.
24.	Haidl P, Heindl S, Siemon K, et al. Inhalation device requirements for patients' inhalation maneuvers. Respir Med, 2016, 118: 65-75.
25.	Horvath A, Balashazy I, Tomisa G, et al. Significance of breath-hold time in dry powder aerosol drug therapy of COPD patients. European Journal of Pharmaceutical Sciences, 2017, 104: 145-149.
26.	于申, 王吉喆, 孙秀珍, 等. 呼吸道内颗粒物沉积的数值模拟. 医用生物力学, 2016, 31(3): 193-198.
27.	伍涛, 张鸿雁, 崔海航. 屏气状况下重力方向对肺腺泡内颗粒物沉积特性影响的数值模拟. 纳米技术与精密工程, 2018, 1(1): 66-72.
28.	Shachar-Berman L, Ostrovski Y, de Rosis A, et al. Transport of ellipsoid fibers in oscillatory shear flows: Implications for aerosol deposition in deep airways. European Journal of Pharmaceutical Sciences, 2018, 113: 145-151.
29.	Sturm R. Bioaerosols in the lungs of subjects with different ages-part 1: deposition modeling. Annals of Translational Medicine, 2016, 4(11): 211.
30.	Sturm R. Theoretical diagnosis of emphysema by aerosol bolus inhalation. Annals of Translational Medicine, 2017, 5(7): 154.
31.	Aghasafari P, Ibrahim I B M, Pidaparti R M. Investigation of the effects of emphysema and influenza on alveolar sacs closure through CFD simulation. J Biomedical Science and Engineering, 2016, 9: 287-297.
32.	Roth C J, Ismail M, Yoshihara L, et al. A comprehensive computational human lung model incorporating inter-acinar dependencies: application to spontaneous breathing and mechanical ventilation. Int Jnumer Method Biomed Eng, 2017, 33(1): e02787.

1. 胡国平, 钟南山, 冉丕鑫, 等. 中国的大气污染和 COPD. 中国胸心血管外科临床杂志, 2016, 23(2): 107-112.
2. Farkas A, Jokay A, Füri P, et al. Computer modelling as a tool in characterization and optimization of aerosol drug delivery. Aerosol and Air Quality Research, 2015, 15(6): 2466-2474.
3. Weibel E R. Morphometry of the human lung. New York: Springer Berlin Heidelberg, 1963: 1-151.
4. 李蓉, 赵秀国, 刘亚军, 等. 可吸入颗粒物在人体呼吸系统沉积的数值模拟与实验研究进展. 生物医学工程学杂志, 2017, 34(4): 637-642.
5. Talaat K, Xi J. Computational modeling of aerosol transport, dispersion, and deposition in rhythmically expanding and contracting terminal alveoli. Journal of Aerosol Science, 2017, 112: 19-33.
6. Sznitman J, Heimsch F, Heimsch T, et al. Three-dimensional convective alveolar flow induced by rhythmic breathing motion of the pulmonary acinus. J Biomech Eng, 2007, 129(5): 658-665.
7. 李振振. 肺腺泡内颗粒物的沉积及阻塞影响的数值模拟研究. 西安: 西安建筑科技大学, 2016.
8. Fung Y C. A model of the lung structure and its validation. J Appl Physiol, 1988, 64(5): 2132-2141.
9. Haefeli-Bleuer B, Weibel E R. Morphometry of the human pulmonary acinus. Anat Rec, 1988, 220(4): 401-414.
10. Khajeh-Hosseini-Dalasm N, Longest P W. Deposition of particles in the alveolar airways: inhalation and breath-hold with pharmaceutical aerosols. Journal of Aerosol Science, 2015, 79: 15-30.
11. Oakes J M, Hofemeier P, Vignon-Clementel I E, et al. Aerosols in healthy and emphysematous in silico pulmonary acinar rat models. J Biomech, 2016, 49(11): 2213-2220.
12. Katan J T, Hofemeier P, Sznitman J. Computational models of inhalation therapy in early childhood: therapeutic aerosols in the developing acinus. J Aerosol Med Pulm Drug Deliv, 2016, 29(3): 288-298.
13. Hofemeier P, Sznitman J. The role of anisotropic expansion for pulmonary acinar aerosol deposition. J Biomech, 2016, 49(14): 3543-3548.
14. Hofemeier P, Shachar-Berman L, Tenenbaum-Katan J, et al. Unsteady diffusional screening in 3D pulmonary acinar structures: from infancy to adulthood. J Biomech, 2016, 49(11): 2193-2200.
15. Ostrovski Y, Hofemeier P, Sznitman J. Augmenting regional and targeted delivery in the pulmonary acinus using magnetic particles. Int J Nanomedicine, 2016, 11: 3385-3395.
16. Koshiyama K, Wada S. Mathematical model of a heterogeneous pulmonary acinus structure. Comput Biol Med, 2015, 62: 25-32.
17. Mercer R R, Crapo J D. Three-dimensional reconstruction of the rat acinus. J Appl Physiol, 1987, 63(2): 785.
18. Hofemeier P, Koshiyama K, Wada S, et al. One (sub-)acinus for all: fate of inhaled aerosols in heterogeneous pulmonary acinar structures. European Journal of Pharmaceutical Sciences, 2018, 113: 53-63.
19. Sera T, Higashi R, Naito H, et al. Distribution of nanoparticle depositions after a single breathing in a murine pulmonary acinus model. Int J Heat Mass Transf, 2017, 108: 730-739.
20. Puliyakote K, Srikumar A. Comprehensive assessment and characterization of pulmonary acinar morphometry using multi-resolution micro x-ray computed tomography. Iowa: The University of Iowa, 2016.
21. 黄俊. 可吸入颗粒在肺泡中沉积的数值模拟. 杭州: 浙江大学, 2016.
22. Iranica S, Monjezi M, Saidi M S. Fluid-structure interaction analysis of airrow in pulmonary alveoli during normal breathing in healthy humans. Scientia Iranica, 2016, 23(4): 1826-1836.
23. Aghasafari P, Ibrahim I B, Pidaparti R. Strain-induced inflammation in pulmonary alveolar tissue due to mechanical ventilation. Biomech Model Mechanobiol, 2017, 16(4): 1103-1118.
24. Haidl P, Heindl S, Siemon K, et al. Inhalation device requirements for patients' inhalation maneuvers. Respir Med, 2016, 118: 65-75.
25. Horvath A, Balashazy I, Tomisa G, et al. Significance of breath-hold time in dry powder aerosol drug therapy of COPD patients. European Journal of Pharmaceutical Sciences, 2017, 104: 145-149.
26. 于申, 王吉喆, 孙秀珍, 等. 呼吸道内颗粒物沉积的数值模拟. 医用生物力学, 2016, 31(3): 193-198.
27. 伍涛, 张鸿雁, 崔海航. 屏气状况下重力方向对肺腺泡内颗粒物沉积特性影响的数值模拟. 纳米技术与精密工程, 2018, 1(1): 66-72.
28. Shachar-Berman L, Ostrovski Y, de Rosis A, et al. Transport of ellipsoid fibers in oscillatory shear flows: Implications for aerosol deposition in deep airways. European Journal of Pharmaceutical Sciences, 2018, 113: 145-151.
29. Sturm R. Bioaerosols in the lungs of subjects with different ages-part 1: deposition modeling. Annals of Translational Medicine, 2016, 4(11): 211.
30. Sturm R. Theoretical diagnosis of emphysema by aerosol bolus inhalation. Annals of Translational Medicine, 2017, 5(7): 154.
31. Aghasafari P, Ibrahim I B M, Pidaparti R M. Investigation of the effects of emphysema and influenza on alveolar sacs closure through CFD simulation. J Biomedical Science and Engineering, 2016, 9: 287-297.
32. Roth C J, Ismail M, Yoshihara L, et al. A comprehensive computational human lung model incorporating inter-acinar dependencies: application to spontaneous breathing and mechanical ventilation. Int Jnumer Method Biomed Eng, 2017, 33(1): e02787.

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