(688d) Computational Fluid Particle Dynamics Illuminates Developmental Anatomical Feature Influence on Aerosol Deposition Patterns in 6-Year-Old Upper Airway CT-Scan Models
AIChE Annual Meeting
2022
2022 Annual Meeting
Computing and Systems Technology Division
Applied Math for Biomedical Systems
Friday, November 18, 2022 - 8:57am to 9:16am
In addition to these characterizations, the resultant aerosol deposition pattern and metrics of interest were evaluated for idealized model particles and an Advair® Diskus® aerosol mimic model.4 Some aerosol deposition trends were consistent among all three models, such as a significant increase in deposition as a function of particle size (100 nm -10 μm) and an insignificant relationship across flow rates (10 Lpm â 120 Lpm). For both the impaction parameter (d2Q) and the Advair® Diskus® mass median aerodynamic diameter (MMAD) there was agreement between the AIT and the female CT-scan model, both of which presented with predominantly âadultâ-like features. This suggests that the AIT would be better at predicting subjects with a more developed upper airway displaying more âadultâ-like features. This work demonstrates the transient development of upper airways in pediatric subjects and the resultant variation in aerosol deposition patterns and metrics that can be uniform across subjects, independent of development, or predictable from âadultâ-like idealized models. We have quantified and demonstrated differences between adult and pediatric upper airways that highlight the need to recognize and integrate pediatric aerosol requirements into inhalable therapeutics.
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