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Optimization of intraperitoneal aerosolized drug delivery using computational fluid dynamics (CFD) modeling
Intraperitoneal (IP) aerosolized anticancer drug delivery was recently introduced in the treatment of patients with peritoneal metastases. However, little is known on the effect of treatment parameters on the spatial distribution of the aerosol droplets in the peritoneal cavity. Here, computational...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9012796/ https://www.ncbi.nlm.nih.gov/pubmed/35428819 http://dx.doi.org/10.1038/s41598-022-10369-8 |
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author | Rahimi-Gorji, Mohammad Debbaut, Charlotte Ghorbaniasl, Ghader Cosyns, Sarah Willaert, Wouter Ceelen, Wim |
author_facet | Rahimi-Gorji, Mohammad Debbaut, Charlotte Ghorbaniasl, Ghader Cosyns, Sarah Willaert, Wouter Ceelen, Wim |
author_sort | Rahimi-Gorji, Mohammad |
collection | PubMed |
description | Intraperitoneal (IP) aerosolized anticancer drug delivery was recently introduced in the treatment of patients with peritoneal metastases. However, little is known on the effect of treatment parameters on the spatial distribution of the aerosol droplets in the peritoneal cavity. Here, computational fluid dynamics (CFD) modeling was used in conjunction with experimental validation in order to investigate the effect of droplet size, liquid flow rate and viscosity, and the addition of an electrostatic field on the homogeneity of IP aerosol. We found that spatial distribution is optimal with small droplet sizes (1–5 µm). Using the current clinically used technology (droplet size of 30 µm), the optimal spatial distribution of aerosol is obtained with a liquid flow rate of 0.6 mL s(−1). Compared to saline, nebulization of higher viscosity liquids results in less homogeneous aerosol distribution. The addition of electrostatic precipitation significantly improves homogeneity of aerosol distribution, but no further improvement is obtained with voltages higher than 6.5 kV. The results of the current study will allow to choose treatment parameters and settings in order to optimize spatial distribution of IP aerosolized drug, with a potential to enhance its anticancer effect. |
format | Online Article Text |
id | pubmed-9012796 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-90127962022-04-18 Optimization of intraperitoneal aerosolized drug delivery using computational fluid dynamics (CFD) modeling Rahimi-Gorji, Mohammad Debbaut, Charlotte Ghorbaniasl, Ghader Cosyns, Sarah Willaert, Wouter Ceelen, Wim Sci Rep Article Intraperitoneal (IP) aerosolized anticancer drug delivery was recently introduced in the treatment of patients with peritoneal metastases. However, little is known on the effect of treatment parameters on the spatial distribution of the aerosol droplets in the peritoneal cavity. Here, computational fluid dynamics (CFD) modeling was used in conjunction with experimental validation in order to investigate the effect of droplet size, liquid flow rate and viscosity, and the addition of an electrostatic field on the homogeneity of IP aerosol. We found that spatial distribution is optimal with small droplet sizes (1–5 µm). Using the current clinically used technology (droplet size of 30 µm), the optimal spatial distribution of aerosol is obtained with a liquid flow rate of 0.6 mL s(−1). Compared to saline, nebulization of higher viscosity liquids results in less homogeneous aerosol distribution. The addition of electrostatic precipitation significantly improves homogeneity of aerosol distribution, but no further improvement is obtained with voltages higher than 6.5 kV. The results of the current study will allow to choose treatment parameters and settings in order to optimize spatial distribution of IP aerosolized drug, with a potential to enhance its anticancer effect. Nature Publishing Group UK 2022-04-15 /pmc/articles/PMC9012796/ /pubmed/35428819 http://dx.doi.org/10.1038/s41598-022-10369-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Rahimi-Gorji, Mohammad Debbaut, Charlotte Ghorbaniasl, Ghader Cosyns, Sarah Willaert, Wouter Ceelen, Wim Optimization of intraperitoneal aerosolized drug delivery using computational fluid dynamics (CFD) modeling |
title | Optimization of intraperitoneal aerosolized drug delivery using computational fluid dynamics (CFD) modeling |
title_full | Optimization of intraperitoneal aerosolized drug delivery using computational fluid dynamics (CFD) modeling |
title_fullStr | Optimization of intraperitoneal aerosolized drug delivery using computational fluid dynamics (CFD) modeling |
title_full_unstemmed | Optimization of intraperitoneal aerosolized drug delivery using computational fluid dynamics (CFD) modeling |
title_short | Optimization of intraperitoneal aerosolized drug delivery using computational fluid dynamics (CFD) modeling |
title_sort | optimization of intraperitoneal aerosolized drug delivery using computational fluid dynamics (cfd) modeling |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9012796/ https://www.ncbi.nlm.nih.gov/pubmed/35428819 http://dx.doi.org/10.1038/s41598-022-10369-8 |
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