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Mathematical modeling of intraperitoneal drug delivery: simulation of drug distribution in a single tumor nodule
The intraperitoneal (IP) administration of chemotherapy is an alternative treatment for peritoneal carcinomatosis, allowing for higher intratumor concentrations of the cytotoxic agent compared to intravenous administration. Nevertheless, drug penetration depths are still limited to a few millimeters...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8240979/ https://www.ncbi.nlm.nih.gov/pubmed/28181817 http://dx.doi.org/10.1080/10717544.2016.1269848 |
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author | Steuperaert, Margo Falvo D’Urso Labate, Giuseppe Debbaut, Charlotte De Wever, Olivier Vanhove, Christian Ceelen, Wim Segers, Patrick |
author_facet | Steuperaert, Margo Falvo D’Urso Labate, Giuseppe Debbaut, Charlotte De Wever, Olivier Vanhove, Christian Ceelen, Wim Segers, Patrick |
author_sort | Steuperaert, Margo |
collection | PubMed |
description | The intraperitoneal (IP) administration of chemotherapy is an alternative treatment for peritoneal carcinomatosis, allowing for higher intratumor concentrations of the cytotoxic agent compared to intravenous administration. Nevertheless, drug penetration depths are still limited to a few millimeters. It is thus necessary to better understand the limiting factors behind this poor penetration in order to improve IP chemotherapy delivery. By developing a three-dimensional computational fluid dynamics (CFD) model for drug penetration in a tumor nodule, we investigated the impact of a number of key parameters on the drug transport and penetration depth during IP chemotherapy. Overall, smaller tumors showed better penetration than larger ones, which could be attributed to the lower IFP in smaller tumors. Furthermore, the model demonstrated large improvements in penetration depth by subjecting the tumor nodules to vascular normalization therapy, and illustrated the importance of the drug that is used for therapy. Explicitly modeling the necrotic core had a limited effect on the simulated penetration. Similarly, the penetration depth remained virtually constant when the Darcy permeability of the tissue changed. Our findings illustrate that the developed parametrical CFD model is a powerful tool providing more insight in the drug transport and penetration during IP chemotherapy. |
format | Online Article Text |
id | pubmed-8240979 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-82409792021-07-08 Mathematical modeling of intraperitoneal drug delivery: simulation of drug distribution in a single tumor nodule Steuperaert, Margo Falvo D’Urso Labate, Giuseppe Debbaut, Charlotte De Wever, Olivier Vanhove, Christian Ceelen, Wim Segers, Patrick Drug Deliv Research Article The intraperitoneal (IP) administration of chemotherapy is an alternative treatment for peritoneal carcinomatosis, allowing for higher intratumor concentrations of the cytotoxic agent compared to intravenous administration. Nevertheless, drug penetration depths are still limited to a few millimeters. It is thus necessary to better understand the limiting factors behind this poor penetration in order to improve IP chemotherapy delivery. By developing a three-dimensional computational fluid dynamics (CFD) model for drug penetration in a tumor nodule, we investigated the impact of a number of key parameters on the drug transport and penetration depth during IP chemotherapy. Overall, smaller tumors showed better penetration than larger ones, which could be attributed to the lower IFP in smaller tumors. Furthermore, the model demonstrated large improvements in penetration depth by subjecting the tumor nodules to vascular normalization therapy, and illustrated the importance of the drug that is used for therapy. Explicitly modeling the necrotic core had a limited effect on the simulated penetration. Similarly, the penetration depth remained virtually constant when the Darcy permeability of the tissue changed. Our findings illustrate that the developed parametrical CFD model is a powerful tool providing more insight in the drug transport and penetration during IP chemotherapy. Taylor & Francis 2017-02-09 /pmc/articles/PMC8240979/ /pubmed/28181817 http://dx.doi.org/10.1080/10717544.2016.1269848 Text en © 2017 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/Licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Steuperaert, Margo Falvo D’Urso Labate, Giuseppe Debbaut, Charlotte De Wever, Olivier Vanhove, Christian Ceelen, Wim Segers, Patrick Mathematical modeling of intraperitoneal drug delivery: simulation of drug distribution in a single tumor nodule |
title | Mathematical modeling of intraperitoneal drug delivery: simulation of drug distribution in a single tumor nodule |
title_full | Mathematical modeling of intraperitoneal drug delivery: simulation of drug distribution in a single tumor nodule |
title_fullStr | Mathematical modeling of intraperitoneal drug delivery: simulation of drug distribution in a single tumor nodule |
title_full_unstemmed | Mathematical modeling of intraperitoneal drug delivery: simulation of drug distribution in a single tumor nodule |
title_short | Mathematical modeling of intraperitoneal drug delivery: simulation of drug distribution in a single tumor nodule |
title_sort | mathematical modeling of intraperitoneal drug delivery: simulation of drug distribution in a single tumor nodule |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8240979/ https://www.ncbi.nlm.nih.gov/pubmed/28181817 http://dx.doi.org/10.1080/10717544.2016.1269848 |
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