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Predictions of inter- and intra-lobar deposition patterns of inhaled particles in a five-lobe lung model
- Source :
- Inhalation Toxicology. 33:96-112
- Publication Year :
- 2021
- Publisher :
- Informa UK Limited, 2021.
-
Abstract
- To develop a stochastic five-lobe lung model and to compute particle deposition fractions in the five lobes, considering anatomical as well as ventilatory asymmetry.The stochastic five-lobe lung model was derived from an existing stochastic model for the whole lung, which implicitly contains information on the lobar airway structure. Differences in lobar ventilation and sequential filling of individual lobes were simulated by a stochastic lobar ventilation model. Deposition fractions of inhaled unit density particles in the five lobes were calculated by an updated version of the Monte Carlo deposition code Inhalation, Deposition, and Exhalation of Aerosols in the Lung (IDEAL).Simulations for defined exposure and breathing conditions revealed that the two lower lobes receive higher deposition and the two upper lobes lower deposition, compared to the average deposition for the whole lung. The resulting inter-lobar distribution of deposition fractions indicated that the non-uniform lung morphometry is the dominating effect, while non-uniform ventilation only slightly enhances the lobar differences. The relation between average lobe-specific deposition fractions and corresponding average values for the whole lung allowed the calculation of lobe-specific deposition weighting factors.Comparison with limited deposition measurements for upper
- Subjects :
- Materials science
Health, Toxicology and Mutagenesis
010501 environmental sciences
Toxicology
Models, Biological
01 natural sciences
03 medical and health sciences
0302 clinical medicine
medicine
Humans
Lung
Lung ventilation
0105 earth and related environmental sciences
Inhalation Exposure
Stochastic Processes
respiratory system
Lobe
respiratory tract diseases
medicine.anatomical_structure
030228 respiratory system
Respiratory Physiological Phenomena
Particulate Matter
Aerosol inhalation
Monte Carlo Method
Deposition (chemistry)
Biomedical engineering
Particle deposition
Subjects
Details
- ISSN :
- 10917691 and 08958378
- Volume :
- 33
- Database :
- OpenAIRE
- Journal :
- Inhalation Toxicology
- Accession number :
- edsair.doi.dedup.....cb5e4e70390b9b856c86afe9e9e15e10