In silico evaluation of particle transport and deposition in the airways of individual patients with chronic obstructive pulmonary disease

The Impact of Actuator Nozzle and Surroundings Condition on Drug Delivery using Pressurized-Metered Dose Inhalers

“…They utilized the USP-IP, which is a more simplified MT airway geometry than the one used in the present simulations. Previous studies illustrated that airway geometry significantly influences the transport and deposition of aerosol particles in the MT area (Islam et al 2021;Kadota et al 2022;Kaviratna et al 2019;Longest et al 2012Longest et al , 2009. From the particle trajectory shown in Fig.…”

“…CFD simulation has become increasingly important for demonstrating plume behaviours, and for transport and deposition of inhaled particles in in silico models of the respiratory system, which are challenging to obtain by in vivo and in vitro studies (Bhardwaj et al 2022;Kadota et al 2022;Wu et al 2022). Our study employed CFD modelling to integrate realistic conditions while exploring the impact of nozzle geometry on plume configuration.…”

Towards More Precise Targeting of Inhaled Aerosols to Different Areas of the Respiratory System

“…This changes the geometry of bronchial airways, resulting in different airflow and different distributions of particle deposition. Kadota et al [ 37 ] compared the results of CFD calculations for three actual geometries of COPD patients, showing the dependence of drug delivery effectiveness on disease severity. The results obtained in our laboratory show the variable distribution of aerosol flow through the bronchi of reconstructed 3D bronchial geometry of a patient with COPD according to data from [ 37 ], as shown in Figure 5 .…”

Investigating distributions of inhaled aerosols in the lungs of post-COVID-19 clusters through a unified imaging and modeling approach

“…Quantitative CT imaging has emerged as a valuable tool for exploring various lung disease manifestations, creating quantifiable biomarkers that can assess a wide range of risk factors and associated lung abnormalities ( Hoffman, 2022 ). Computational fluid and particle dynamics (CFPD) has also emerged as a powerful tool for assessing both the efficiency of drug delivery and the severity of respiratory diseases ( Lin et al, 2013 , Koullapis et al, 2021 , Zhou et al, 2024 , Yang et al, 2024 , Huang et al, 2021 , Kadota et al, 2022 ). Furthermore, in the era of big data, discovering patient clusters and unique biomarkers specific to these clusters is invaluable ( Lin et al, 2021 , Choi et al, 2017 ).…”