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Optimising Aerosol Delivery for Maxillary Sinus Deposition in a Post-FESS Sinonasal Cavities

Vahaji, Sara, Shang, Y, Zhang, Y, Wong, E, Rezk, A, Yeo, L, Vreugde, S, Wormald, P-J, Singh, N and Inthavong, K 2021, Optimising Aerosol Delivery for Maxillary Sinus Deposition in a Post-FESS Sinonasal Cavities, Aerosol and Air Quality Research, vol. 21, no. 12, pp. 1-16, doi: 10.4209/aaqr.210098.

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Title Optimising Aerosol Delivery for Maxillary Sinus Deposition in a Post-FESS Sinonasal Cavities
Author(s) Vahaji, SaraORCID iD for Vahaji, Sara orcid.org/0000-0001-6047-2163
Shang, Y
Zhang, Y
Wong, E
Rezk, A
Yeo, L
Vreugde, S
Wormald, P-J
Singh, N
Inthavong, K
Journal name Aerosol and Air Quality Research
Volume number 21
Issue number 12
Article ID 210098
Start page 1
End page 16
Total pages 16
Publisher Taiwan Association for Aerosol Research
Place of publication Taoyuan City, Taiwan
Publication date 2021
ISSN 1680-8584
2071-1409
Keyword(s) Aerosol deposition
ATOMIZATION
CFD
DROPLET-SIZE DISTRIBUTION
DRUG-DELIVERY
Environmental Sciences
Environmental Sciences & Ecology
FLOW
FLUID-DYNAMICS MODEL
Inhaled aerosol
IRRIGATION
Life Sciences & Biomedicine
NASAL SPRAY
PARANASAL SINUSES
Science & Technology
Sinonasal cavity
Spray atomisation
SURGERY
TRAJECTORIES
Summary Optimal management of chronic rhinosinusitis (CRS) endotypes includes post-operative application of topical formulations. There is little evidence regarding the ideal aerosol delivery characteristics and techniques to achieve the most efficient deposition on affected sinus mucosa. Nebulisers provide an alternative to nasal sprays by producing smaller particle sizes at lower velocities. We applied a reverse-particle-tracking simulation using computational fluid dynamics (CFD) to evaluate the ideal aerosol characteristics from a nebuliser to target the post-operative maxillary sinus mucosa. A CT scan of a CRS patient was used to create a pre-operative and virtual post-operative model. Particles of diameter 2 to 30 µm were tracked through the sinonasal cavity at 5, 10 and 15 L min–1 flow rates using CFD. Reverse particle simulations demonstrated that the optimised combination of parameters were 20 µm particles, delivered at 5 m s–1 (or 14 microns, delivered at 15 m s–1) at an inhalation rate of 5 L min–1, released from a nozzle in an elliptical oblique-superior direction into the superior half of the nasal valve significantly improved the maximum deposition efficiency (from 3% up to 55%) in the post-operative maxillary sinus mucosa. The nebulised spray (without optimisation) demonstrated negligible particle deposition within the sinuses of the pre-op model, while it increased marginally in the post-op model for smaller diameter particles at lower inhalation rates. The ideal combination of parameters to achieve targeted medication deposition on specific sinus mucosal surfaces can guide the development of new nasal drug delivery devices that produce the desired deposition regions for clinical applications in post-operative CRS patients.
Language eng
DOI 10.4209/aaqr.210098
Field of Research 03 Chemical Sciences
05 Environmental Sciences
06 Biological Sciences
HERDC Research category C1 Refereed article in a scholarly journal
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30161418

Document type: Journal Article
Collections: Faculty of Science, Engineering and Built Environment
School of Engineering
Open Access Collection
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.