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OpenEP: an open-source simulator for electroporation-based tumor treatments
Electroporation (EP), the increase of cell membrane permeability due to the application of electric pulses, is a universal phenomenon with a broad range of applications. In medicine, some of the foremost EP-based tumor treatments are electrochemotherapy (ECT), irreversible electroporation, and gene...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7809294/ https://www.ncbi.nlm.nih.gov/pubmed/33446750 http://dx.doi.org/10.1038/s41598-020-79858-y |
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author | Marino, Matías Luján, Emmanuel Mocskos, Esteban Marshall, Guillermo |
author_facet | Marino, Matías Luján, Emmanuel Mocskos, Esteban Marshall, Guillermo |
author_sort | Marino, Matías |
collection | PubMed |
description | Electroporation (EP), the increase of cell membrane permeability due to the application of electric pulses, is a universal phenomenon with a broad range of applications. In medicine, some of the foremost EP-based tumor treatments are electrochemotherapy (ECT), irreversible electroporation, and gene electrotransfer (GET). The electroporation phenomenon is explained as the formation of cell membrane pores when a transmembrane cell voltage reaches a threshold value. Predicting the outcome of an EP-based tumor treatment consists of finding the electric field distribution with an electric threshold value covering the tumor (electroporated tissue). Threshold and electroporated tissue are also a function of the number of pulses, constituting a complex phenomenon requiring mathematical modeling. We present OpenEP, an open-source specific purpose simulator for EP-based tumor treatments, modeling among other variables, threshold, and electroporated tissue variations in time. Distributed under a free/libre user license, OpenEP allows the customization of tissue type; electrode geometry and material; pulse type, intensity, length, and frequency. OpenEP facilitates the prediction of an optimal EP-based protocol, such as ECT or GET, defined as the critical pulse dosage yielding maximum electroporated tissue with minimal damage. OpenEP displays a highly efficient shared memory implementation by taking advantage of parallel resources; this permits a rapid prediction of optimal EP-based treatment efficiency by pulse number tuning. |
format | Online Article Text |
id | pubmed-7809294 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78092942021-01-15 OpenEP: an open-source simulator for electroporation-based tumor treatments Marino, Matías Luján, Emmanuel Mocskos, Esteban Marshall, Guillermo Sci Rep Article Electroporation (EP), the increase of cell membrane permeability due to the application of electric pulses, is a universal phenomenon with a broad range of applications. In medicine, some of the foremost EP-based tumor treatments are electrochemotherapy (ECT), irreversible electroporation, and gene electrotransfer (GET). The electroporation phenomenon is explained as the formation of cell membrane pores when a transmembrane cell voltage reaches a threshold value. Predicting the outcome of an EP-based tumor treatment consists of finding the electric field distribution with an electric threshold value covering the tumor (electroporated tissue). Threshold and electroporated tissue are also a function of the number of pulses, constituting a complex phenomenon requiring mathematical modeling. We present OpenEP, an open-source specific purpose simulator for EP-based tumor treatments, modeling among other variables, threshold, and electroporated tissue variations in time. Distributed under a free/libre user license, OpenEP allows the customization of tissue type; electrode geometry and material; pulse type, intensity, length, and frequency. OpenEP facilitates the prediction of an optimal EP-based protocol, such as ECT or GET, defined as the critical pulse dosage yielding maximum electroporated tissue with minimal damage. OpenEP displays a highly efficient shared memory implementation by taking advantage of parallel resources; this permits a rapid prediction of optimal EP-based treatment efficiency by pulse number tuning. Nature Publishing Group UK 2021-01-14 /pmc/articles/PMC7809294/ /pubmed/33446750 http://dx.doi.org/10.1038/s41598-020-79858-y Text en © The Author(s) 2021 Open AccessThis 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/. |
spellingShingle | Article Marino, Matías Luján, Emmanuel Mocskos, Esteban Marshall, Guillermo OpenEP: an open-source simulator for electroporation-based tumor treatments |
title | OpenEP: an open-source simulator for electroporation-based tumor treatments |
title_full | OpenEP: an open-source simulator for electroporation-based tumor treatments |
title_fullStr | OpenEP: an open-source simulator for electroporation-based tumor treatments |
title_full_unstemmed | OpenEP: an open-source simulator for electroporation-based tumor treatments |
title_short | OpenEP: an open-source simulator for electroporation-based tumor treatments |
title_sort | openep: an open-source simulator for electroporation-based tumor treatments |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7809294/ https://www.ncbi.nlm.nih.gov/pubmed/33446750 http://dx.doi.org/10.1038/s41598-020-79858-y |
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