Particle Disposition in the Realistic Airway Tree Models of Subjects with Tracheal Bronchus and COPD
Dispositions of inhalable particles in the human respiratory tract trigger and exacerbate airway inflammatory diseases. However, the particle deposition (PD) in airway of subjects with tracheal bronchus (TB) and chronic obstructive pulmonary diseases (COPD) is unknown. We therefore propose to clarif...
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Series: | BioMed Research International |
Online Access: | http://dx.doi.org/10.1155/2018/7428609 |
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doaj-39885b0e75a44427a0e69d06cdaea7c72020-11-24T22:09:50ZengHindawi LimitedBioMed Research International2314-61332314-61412018-01-01201810.1155/2018/74286097428609Particle Disposition in the Realistic Airway Tree Models of Subjects with Tracheal Bronchus and COPDBaihua Zhang0Shouliang Qi1Yong Yue2Jing Shen3Chen Li4Wei Qian5Jianlin Wu6Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, ChinaSino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, ChinaDepartment of Radiology, ShengJing Hospital of China Medical University, Shenyang, ChinaDepartment of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian, ChinaSino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, ChinaSino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, ChinaDepartment of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian, ChinaDispositions of inhalable particles in the human respiratory tract trigger and exacerbate airway inflammatory diseases. However, the particle deposition (PD) in airway of subjects with tracheal bronchus (TB) and chronic obstructive pulmonary diseases (COPD) is unknown. We therefore propose to clarify the disrupted PD associated with TB and COPD using the computational fluid dynamics (CFD) simulation. Totally nine airway tree models are included. Six are extracted from CT images of different individuals (two with TB, two with COPD, and two healthy controls (HC)). The others are the artificially modified models (AMMs) generated by the virtual lesion. Specifically, they are constructed through artificially adding a tracheal bronchus or a stenosis on one HC model. The deposition efficiency (DE) and deposition fraction (DF) in these models are obtained by the Euler-Lagrange approach, analyzed, and compared across models, locations, and particle sizes (0.1-10.0 micrometers). It is found that the PD in models with TB and COPD has been disrupted by the geometrical changes and followed airflow alternations. DE of the tracheal bronchus is higher for TB models. For COPD, the stenosis location determines the effects on DE and DF. Higher DF at the trachea is observed in TB1, TB2, and COPD2 models. DE increases with the particle size, and DE of the terminal bronchi is higher than that of central regions. Combined with AMMs, the CFD simulation using realistic airway models demonstrates disruptions of DP. The methods and findings might help understand the etiology of pulmonary diseases and improve the efficacy of inhaled medicines.http://dx.doi.org/10.1155/2018/7428609 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Baihua Zhang Shouliang Qi Yong Yue Jing Shen Chen Li Wei Qian Jianlin Wu |
spellingShingle |
Baihua Zhang Shouliang Qi Yong Yue Jing Shen Chen Li Wei Qian Jianlin Wu Particle Disposition in the Realistic Airway Tree Models of Subjects with Tracheal Bronchus and COPD BioMed Research International |
author_facet |
Baihua Zhang Shouliang Qi Yong Yue Jing Shen Chen Li Wei Qian Jianlin Wu |
author_sort |
Baihua Zhang |
title |
Particle Disposition in the Realistic Airway Tree Models of Subjects with Tracheal Bronchus and COPD |
title_short |
Particle Disposition in the Realistic Airway Tree Models of Subjects with Tracheal Bronchus and COPD |
title_full |
Particle Disposition in the Realistic Airway Tree Models of Subjects with Tracheal Bronchus and COPD |
title_fullStr |
Particle Disposition in the Realistic Airway Tree Models of Subjects with Tracheal Bronchus and COPD |
title_full_unstemmed |
Particle Disposition in the Realistic Airway Tree Models of Subjects with Tracheal Bronchus and COPD |
title_sort |
particle disposition in the realistic airway tree models of subjects with tracheal bronchus and copd |
publisher |
Hindawi Limited |
series |
BioMed Research International |
issn |
2314-6133 2314-6141 |
publishDate |
2018-01-01 |
description |
Dispositions of inhalable particles in the human respiratory tract trigger and exacerbate airway inflammatory diseases. However, the particle deposition (PD) in airway of subjects with tracheal bronchus (TB) and chronic obstructive pulmonary diseases (COPD) is unknown. We therefore propose to clarify the disrupted PD associated with TB and COPD using the computational fluid dynamics (CFD) simulation. Totally nine airway tree models are included. Six are extracted from CT images of different individuals (two with TB, two with COPD, and two healthy controls (HC)). The others are the artificially modified models (AMMs) generated by the virtual lesion. Specifically, they are constructed through artificially adding a tracheal bronchus or a stenosis on one HC model. The deposition efficiency (DE) and deposition fraction (DF) in these models are obtained by the Euler-Lagrange approach, analyzed, and compared across models, locations, and particle sizes (0.1-10.0 micrometers). It is found that the PD in models with TB and COPD has been disrupted by the geometrical changes and followed airflow alternations. DE of the tracheal bronchus is higher for TB models. For COPD, the stenosis location determines the effects on DE and DF. Higher DF at the trachea is observed in TB1, TB2, and COPD2 models. DE increases with the particle size, and DE of the terminal bronchi is higher than that of central regions. Combined with AMMs, the CFD simulation using realistic airway models demonstrates disruptions of DP. The methods and findings might help understand the etiology of pulmonary diseases and improve the efficacy of inhaled medicines. |
url |
http://dx.doi.org/10.1155/2018/7428609 |
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