Cancer Research Journal

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Dynamics of Magnetic Nanoparticles in Newly Formed Microvascular Networks Surrounding Solid Tumours: A Parallel Programming Approach

Received: 14 December 2015    Accepted: 31 December 2015    Published: 21 January 2016
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Abstract

In this paper we extend a previous 2D parallel implementation of a continuous-discrete model of tumour-induced angiogenesis. In particular, we examine the transport and capture of magnetic nanoparticles through a newly formed vascular network of blood vessels. We demonstrate how our models can be used to describe the dynamics of magnetic nanoparticles in a microvasculature and observe that the orientation of the blood vessels with respect to the magnetic force crucially affects particle capture rates leading to heterogeneous particle distributions. In addition, efficiency of magnetic particle capture depends on the ratio between the magnetic velocity and blood vessel aspect ratio. Such simulations allow a more detailed understanding of the use of magnetic nanoparticles as a mechanism for targeted anti-cancer drug delivery.

DOI 10.11648/j.crj.20160401.12
Published in Cancer Research Journal (Volume 4, Issue 1, January 2016)
Page(s) 9-23
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Nanotechnology, Microvascular Network, High Performance Computing (HPC), Compute Unified Device Architecture (CUDA), Graphical Processing Unit (GPU), Parallel Processing

References
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Author Information
  • Computational Biophysics Group, Algenet Cancer Research, Nottingham, UK

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  • APA Style

    Paul M. Darbyshire. (2016). Dynamics of Magnetic Nanoparticles in Newly Formed Microvascular Networks Surrounding Solid Tumours: A Parallel Programming Approach. Cancer Research Journal, 4(1), 9-23. https://doi.org/10.11648/j.crj.20160401.12

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    ACS Style

    Paul M. Darbyshire. Dynamics of Magnetic Nanoparticles in Newly Formed Microvascular Networks Surrounding Solid Tumours: A Parallel Programming Approach. Cancer Res. J. 2016, 4(1), 9-23. doi: 10.11648/j.crj.20160401.12

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    AMA Style

    Paul M. Darbyshire. Dynamics of Magnetic Nanoparticles in Newly Formed Microvascular Networks Surrounding Solid Tumours: A Parallel Programming Approach. Cancer Res J. 2016;4(1):9-23. doi: 10.11648/j.crj.20160401.12

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  • @article{10.11648/j.crj.20160401.12,
      author = {Paul M. Darbyshire},
      title = {Dynamics of Magnetic Nanoparticles in Newly Formed Microvascular Networks Surrounding Solid Tumours: A Parallel Programming Approach},
      journal = {Cancer Research Journal},
      volume = {4},
      number = {1},
      pages = {9-23},
      doi = {10.11648/j.crj.20160401.12},
      url = {https://doi.org/10.11648/j.crj.20160401.12},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.crj.20160401.12},
      abstract = {In this paper we extend a previous 2D parallel implementation of a continuous-discrete model of tumour-induced angiogenesis. In particular, we examine the transport and capture of magnetic nanoparticles through a newly formed vascular network of blood vessels. We demonstrate how our models can be used to describe the dynamics of magnetic nanoparticles in a microvasculature and observe that the orientation of the blood vessels with respect to the magnetic force crucially affects particle capture rates leading to heterogeneous particle distributions. In addition, efficiency of magnetic particle capture depends on the ratio between the magnetic velocity and blood vessel aspect ratio. Such simulations allow a more detailed understanding of the use of magnetic nanoparticles as a mechanism for targeted anti-cancer drug delivery.},
     year = {2016}
    }
    

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    AB  - In this paper we extend a previous 2D parallel implementation of a continuous-discrete model of tumour-induced angiogenesis. In particular, we examine the transport and capture of magnetic nanoparticles through a newly formed vascular network of blood vessels. We demonstrate how our models can be used to describe the dynamics of magnetic nanoparticles in a microvasculature and observe that the orientation of the blood vessels with respect to the magnetic force crucially affects particle capture rates leading to heterogeneous particle distributions. In addition, efficiency of magnetic particle capture depends on the ratio between the magnetic velocity and blood vessel aspect ratio. Such simulations allow a more detailed understanding of the use of magnetic nanoparticles as a mechanism for targeted anti-cancer drug delivery.
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