A physiologically-based model of localized mucociliary clearance in the airways
Monica E. Shapiro, Timothy E. Corcoran, Carol A. Bertrand, Robert S. Parker, Saidul Islam, Saidul Islam, Saidul Islam
TL;DR
This paper introduces a mathematical model to estimate mucus clearance rates in different regions of the lung using imaging data.
Contribution
A novel computational model that provides detailed regional estimates of mucociliary clearance rates in the airways.
Findings
The model achieved a per-point mean absolute error of 0.085 ± 0.016% when fitted to imaging data from healthy controls.
Hypertonic saline inhalation increased mucociliary clearance rates in cystic fibrosis patients across multiple lung regions.
The model reduced fitted clearance rate coefficients from 114 to 5 with minimal loss in accuracy.
Abstract
The mucociliary clearance (MC) system clears mucus, pathogens, and toxins from the airways. Whole lung MC rate can be measured using gamma camera imaging after the inhalation of radiolabeled particulate. We sought a means to evaluate the therapeutic effect of clearance enhancing therapies in different airway size groups. We developed a mathematical model of mucus transport in the right lung that, when informed by imaging data, estimates MC rate and unclearable activity at points across the airway tree. We fit the model to imaging studies from 11 healthy controls (HC), resulting in a per-point mean absolute error (MAE) of 0.085 ± 0.016% of the total particulate deposition. Using principal component analysis and hierarchical clustering, we reduced the number of fitted clearance rate coefficients from 114 to 5 with only an 8.7% increase in MAE. These 5 cluster groups were closely…
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Taxonomy
TopicsCystic Fibrosis Research Advances · Dysphagia Assessment and Management · Inhalation and Respiratory Drug Delivery