OpenEP: an open-source simulator for electroporation-based tumor treatments
Abstract 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,...
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2021
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oai:doaj.org-article:ae03223ff54f42e098e905286c6980ec2021-12-02T14:01:38ZOpenEP: an open-source simulator for electroporation-based tumor treatments10.1038/s41598-020-79858-y2045-2322https://doaj.org/article/ae03223ff54f42e098e905286c6980ec2021-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-79858-yhttps://doaj.org/toc/2045-2322Abstract 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.Matías MarinoEmmanuel LujánEsteban MocskosGuillermo MarshallNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-15 (2021) |
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Medicine R Science Q Matías Marino Emmanuel Luján Esteban Mocskos Guillermo Marshall OpenEP: an open-source simulator for electroporation-based tumor treatments |
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Abstract 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 |
article |
author |
Matías Marino Emmanuel Luján Esteban Mocskos Guillermo Marshall |
author_facet |
Matías Marino Emmanuel Luján Esteban Mocskos Guillermo Marshall |
author_sort |
Matías Marino |
title |
OpenEP: an open-source simulator for electroporation-based tumor treatments |
title_short |
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_sort |
openep: an open-source simulator for electroporation-based tumor treatments |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/ae03223ff54f42e098e905286c6980ec |
work_keys_str_mv |
AT matiasmarino openepanopensourcesimulatorforelectroporationbasedtumortreatments AT emmanuellujan openepanopensourcesimulatorforelectroporationbasedtumortreatments AT estebanmocskos openepanopensourcesimulatorforelectroporationbasedtumortreatments AT guillermomarshall openepanopensourcesimulatorforelectroporationbasedtumortreatments |
_version_ |
1718392101608095744 |