학술논문
Numerical evaluation of spray position for improved nasal drug delivery
Document Type
Working Paper
Author
Basu, Saikat; Holbrook, Landon T; Kudlaty, Kathryn; Fasanmade, Olulade; Wu, Jihong; Burke, Alyssa; Langworthy, Benjamin; Farzal, Zainab; Mamdani, Mohammed; Bennett, William D; Fine, Jason; Senior, Brent A; Zanation, Adam M; Ebert, Jr., Charles S; Kimple, Adam J; Thorp, Brian D; Frank-Ito, Dennis O; Garcia, Guilherme JM; Kimbell, Julia S
Source
Subject
Language
Abstract
Topical intra-nasal sprays are amongst the most commonly prescribed therapeutic options for sinonasal diseases in humans. However, inconsistency and ambiguity in instructions show a lack of definitive knowledge on best spray use techniques. In this study, we have identified a new usage strategy for nasal sprays available over-the-counter, that registers an average 8-fold improvement in topical delivery of drugs at diseased sites, when compared to prevalent spray techniques. The protocol involves re-orienting the spray axis to harness inertial motion of particulates and has been developed using computational fluid dynamics simulations of respiratory airflow and droplet transport in medical imaging-based digital models. Simulated dose in representative models is validated through in vitro spray measurements in 3D-printed anatomic replicas using the gamma scintigraphy technique. This work breaks new ground in proposing an alternative user-friendly strategy that can significantly enhance topical delivery inside human nose. While these findings can eventually translate into personalized spray usage instructions and hence merit a change in nasal standard-of-care, this study also demonstrates how relatively simple engineering analysis tools can revolutionize everyday healthcare.
Comment: 24 pages, 8 figures, 5 tables
Comment: 24 pages, 8 figures, 5 tables