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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

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

Projekt

<a href="/cs/project/GA20-27653S" target="_blank" >GA20-27653S: Vliv vývoje plic u novorozenců a dětí na charakteristiky proudění a depozici aerosolů – výpočtové modelování a experimentální validace</a><br>

Návaznosti

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

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název periodika

Computer Methods and Programs in Biomedicine

ISSN

0169-2607

e-ISSN

1872-7565

Svazek periodika

251

Číslo periodika v rámci svazku

JUNE

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

18

Strana od-do

—

Kód UT WoS článku

001242738800001

EID výsledku v databázi Scopus

2-s2.0-85192793171