An individualised 3D computational flow and particle model to predict the deposition of inhaled medicines - A case study using a nebuliser

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F26%3A0201456" target="_blank" >RIV/00216305:26210/26:0201456 - isvavai.cz</a>

Result on the web

<a href="https://doi-org.ezproxy.lib.vutbr.cz/10.1016/j.cmpb.2024.108203" target="_blank" >https://doi-org.ezproxy.lib.vutbr.cz/10.1016/j.cmpb.2024.108203</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.cmpb.2024.108203" target="_blank" >10.1016/j.cmpb.2024.108203</a>

Result language

angličtina

Original language name

An individualised 3D computational flow and particle model to predict the deposition of inhaled medicines - A case study using a nebuliser

Original language description

Background and objective : Drug inhalation is generally accepted as the preferred administration method for treating respiratory diseases. To achieve effective inhaled drug delivery for an individual, it is necessary to use an interdisciplinary approach that can cope with inter -individual differences. The paper aims to present an individualised pulmonary drug deposition model based on Computational Fluid and Particle Dynamics simulations within a time frame acceptable for clinical use. Methods: We propose a model that can analyse the inhaled drug delivery efficiency based on the patient's airway geometry as well as breathing pattern, which has the potential to also serve as a tool for a sub -regional diagnosis of respiratory diseases. The particle properties and size distribution are taken for the case of drug inhalation by using nebulisers, as they are independent of the patient's breathing pattern. Finally, the inhaled drug doses that reach the deep airways of different lobe regions of the patient are studied. Results: The numerical accuracy of the proposed model is verified by comparison with experimental results. The difference in total drug deposition fractions between the simulation and experimental results is smaller than 4.44% and 1.43% for flow rates of 60 l/min and 15 l/min, respectively. A case study involving a COVID-19 patient is conducted to illustrate the potential clinical use of the model. The study analyses the drug deposition fractions in relation to the breathing pattern, aerosol size distribution, and different lobe regions. Conclusions: The entire process of the proposed model can be completed within 48 h, allowing an evaluation of the deposition of the inhaled drug in an individual patient's lung within a time frame acceptable for clinical use. Achieving a 48 -hour time window for a single evaluation of patient -specific drug delivery enables the physician to monitor the patient's changing conditions and potentially adjust the drug administration accordingly. Furthermore, we show that the proposed methodology also offers a possibility to be extended to a detection approach for some respiratory diseases.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/GA20-27653S" target="_blank" >GA20-27653S: Influence of infants and children lungs development on flow field and aerosol deposition– computational modelling and experimental validation</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Computer Methods and Programs in Biomedicine

ISSN

0169-2607

e-ISSN

1872-7565

Volume of the periodical

251

Issue of the periodical within the volume

JUNE

Country of publishing house

NL - THE KINGDOM OF THE NETHERLANDS

Number of pages

18

Pages from-to

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UT code for WoS article

001242738800001

EID of the result in the Scopus database

2-s2.0-85192793171