Convection-Enhanced Delivery In Silico Study for Brain Cancer Treatment
Brain cancer therapy remains a formidable challenge in oncology. Convection-enhanced delivery (CED) is an innovative and promising local drug delivery method for the treatment of brain cancer, overcoming the challenges of the systemic delivery of drugs to the brain. To improve our understanding abou...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-05-01
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| Series: | Frontiers in Bioengineering and Biotechnology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fbioe.2022.867552/full |
| _version_ | 1818551441171677184 |
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| author | Chryso Lambride Vasileios Vavourakis Vasileios Vavourakis Triantafyllos Stylianopoulos |
| author_facet | Chryso Lambride Vasileios Vavourakis Vasileios Vavourakis Triantafyllos Stylianopoulos |
| author_sort | Chryso Lambride |
| collection | DOAJ |
| description | Brain cancer therapy remains a formidable challenge in oncology. Convection-enhanced delivery (CED) is an innovative and promising local drug delivery method for the treatment of brain cancer, overcoming the challenges of the systemic delivery of drugs to the brain. To improve our understanding about CED efficacy and drug transport, we present an in silico methodology for brain cancer CED treatment simulation. To achieve this, a three-dimensional finite element formulation is utilized which employs a brain model representation from clinical imaging data and is used to predict the drug deposition in CED regimes. The model encompasses biofluid dynamics and the transport of drugs in the brain parenchyma. Drug distribution is studied under various patho-physiological conditions of the tumor, in terms of tumor vessel wall pore size and tumor tissue hydraulic conductivity as well as for drugs of various sizes, spanning from small molecules to nanoparticles. Through a parametric study, our contribution reports the impact of the size of the vascular wall pores and that of the therapeutic agent on drug distribution during and after CED. The in silico findings provide useful insights of the spatio-temporal distribution and average drug concentration in the tumor towards an effective treatment of brain cancer. |
| first_indexed | 2024-12-12T08:59:56Z |
| format | Article |
| id | doaj.art-5ebce2b3ab5e41c084d3128557f03738 |
| institution | Directory Open Access Journal |
| issn | 2296-4185 |
| language | English |
| last_indexed | 2024-12-12T08:59:56Z |
| publishDate | 2022-05-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Bioengineering and Biotechnology |
| spelling | doaj.art-5ebce2b3ab5e41c084d3128557f037382022-12-22T00:29:51ZengFrontiers Media S.A.Frontiers in Bioengineering and Biotechnology2296-41852022-05-011010.3389/fbioe.2022.867552867552Convection-Enhanced Delivery In Silico Study for Brain Cancer TreatmentChryso Lambride0Vasileios Vavourakis1Vasileios Vavourakis2Triantafyllos Stylianopoulos3Department of Mechanical and Manufacturing Engineering, University of Cyprus, Nicosia, CyprusDepartment of Mechanical and Manufacturing Engineering, University of Cyprus, Nicosia, CyprusDepartment of Medical Physics and Biomedical Engineering, University College London, London, United KingdomDepartment of Mechanical and Manufacturing Engineering, University of Cyprus, Nicosia, CyprusBrain cancer therapy remains a formidable challenge in oncology. Convection-enhanced delivery (CED) is an innovative and promising local drug delivery method for the treatment of brain cancer, overcoming the challenges of the systemic delivery of drugs to the brain. To improve our understanding about CED efficacy and drug transport, we present an in silico methodology for brain cancer CED treatment simulation. To achieve this, a three-dimensional finite element formulation is utilized which employs a brain model representation from clinical imaging data and is used to predict the drug deposition in CED regimes. The model encompasses biofluid dynamics and the transport of drugs in the brain parenchyma. Drug distribution is studied under various patho-physiological conditions of the tumor, in terms of tumor vessel wall pore size and tumor tissue hydraulic conductivity as well as for drugs of various sizes, spanning from small molecules to nanoparticles. Through a parametric study, our contribution reports the impact of the size of the vascular wall pores and that of the therapeutic agent on drug distribution during and after CED. The in silico findings provide useful insights of the spatio-temporal distribution and average drug concentration in the tumor towards an effective treatment of brain cancer.https://www.frontiersin.org/articles/10.3389/fbioe.2022.867552/fulltargeted therapydrug transportsimulationmathematical modelpharmacodynamicsdrug distribution prediction |
| spellingShingle | Chryso Lambride Vasileios Vavourakis Vasileios Vavourakis Triantafyllos Stylianopoulos Convection-Enhanced Delivery In Silico Study for Brain Cancer Treatment Frontiers in Bioengineering and Biotechnology targeted therapy drug transport simulation mathematical model pharmacodynamics drug distribution prediction |
| title | Convection-Enhanced Delivery In Silico Study for Brain Cancer Treatment |
| title_full | Convection-Enhanced Delivery In Silico Study for Brain Cancer Treatment |
| title_fullStr | Convection-Enhanced Delivery In Silico Study for Brain Cancer Treatment |
| title_full_unstemmed | Convection-Enhanced Delivery In Silico Study for Brain Cancer Treatment |
| title_short | Convection-Enhanced Delivery In Silico Study for Brain Cancer Treatment |
| title_sort | convection enhanced delivery in silico study for brain cancer treatment |
| topic | targeted therapy drug transport simulation mathematical model pharmacodynamics drug distribution prediction |
| url | https://www.frontiersin.org/articles/10.3389/fbioe.2022.867552/full |
| work_keys_str_mv | AT chrysolambride convectionenhanceddeliveryinsilicostudyforbraincancertreatment AT vasileiosvavourakis convectionenhanceddeliveryinsilicostudyforbraincancertreatment AT vasileiosvavourakis convectionenhanceddeliveryinsilicostudyforbraincancertreatment AT triantafyllosstylianopoulos convectionenhanceddeliveryinsilicostudyforbraincancertreatment |