2001
DOI: 10.1006/rtph.2001.1479
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A Biomathematical Model of Particle Clearance and Retention in the Lungs of Coal Miners

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Cited by 69 publications
(85 citation statements)
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“…We used a compartmentalized physiologically based (PB) lung model developed by Tran et al [28][29][30] and Kuempel et al [31] to estimate TiO 2 burden in lung tissue. The PB lung model is capable of describing the progress over time of the retention of particles and the alveolar macrophage (AM)-mediated clearance process in the pulmonary region associated with the particle redistribution and the overload phenomena.…”
Section: Lung-cellular Uptake Modelmentioning
confidence: 99%
“…We used a compartmentalized physiologically based (PB) lung model developed by Tran et al [28][29][30] and Kuempel et al [31] to estimate TiO 2 burden in lung tissue. The PB lung model is capable of describing the progress over time of the retention of particles and the alveolar macrophage (AM)-mediated clearance process in the pulmonary region associated with the particle redistribution and the overload phenomena.…”
Section: Lung-cellular Uptake Modelmentioning
confidence: 99%
“…Third, the factors such as race and smoking habit could influence the prediction of total SiO 2 lung burden. In fact, these factors could reduce elimination rate of lung and accelerate accumulation of SiO 2 dust (Kuempel et al 2001a;, resulting in an elevating risk of SiO 2 exposurerelated diseases. Hence, we suggest that race and smoking habit can also be incorporated into the PBAD model to improve the predictability in the future research.…”
Section: Limitation and Implicationsmentioning
confidence: 98%
“…Numerous well-established physiologically based mathematical models have been developed in a decade for describing respirable crystalline silica dynamics, inflammatory reaction, and fibrosis development (Kuempel et al 2001a;Tran et al 2001;2002). Cox (2011) used a statistical analysis to investigate the exposure-response relations between crystalline silica and risk of lung pathologies.…”
Section: Responsible Editor: Marcus Schulzmentioning
confidence: 99%
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