Numerical evaluation of spray position for improved nasal drug delivery
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.
Keywords
Cite
@article{arxiv.1909.11960,
title = {Numerical evaluation of spray position for improved nasal drug delivery},
author = {Saikat Basu and Landon T Holbrook and Kathryn Kudlaty and Olulade Fasanmade and Jihong Wu and Alyssa Burke and Benjamin Langworthy and Zainab Farzal and Mohammed Mamdani and William D Bennett and Jason Fine and Brent A Senior and Adam M Zanation and Charles S Ebert, and Adam J Kimple and Brian D Thorp and Dennis O Frank-Ito and Guilherme JM Garcia and Julia S Kimbell},
journal= {arXiv preprint arXiv:1909.11960},
year = {2019}
}
Comments
24 pages, 8 figures, 5 tables