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Predicting irreversible electroporation-induced tissue damage by means of magnetic resonance electrical impedance tomography
Irreversible electroporation (IRE) is gaining importance in routine clinical practice for nonthermal ablation of solid tumors. For its success, it is extremely important that the coverage and exposure time of the treated tumor to the electric field is within the specified range. Measurement of elect...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5583379/ https://www.ncbi.nlm.nih.gov/pubmed/28871138 http://dx.doi.org/10.1038/s41598-017-10846-5 |
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author | Kranjc, Matej Kranjc, Simona Bajd, Franci Serša, Gregor Serša, Igor Miklavčič, Damijan |
author_facet | Kranjc, Matej Kranjc, Simona Bajd, Franci Serša, Gregor Serša, Igor Miklavčič, Damijan |
author_sort | Kranjc, Matej |
collection | PubMed |
description | Irreversible electroporation (IRE) is gaining importance in routine clinical practice for nonthermal ablation of solid tumors. For its success, it is extremely important that the coverage and exposure time of the treated tumor to the electric field is within the specified range. Measurement of electric field distribution during the electroporation treatment can be achieved using magnetic resonance electrical impedance tomography (MREIT). Here, we show improved MREIT-enabled electroporation monitoring of IRE-treated tumors by predicting IRE-ablated tumor areas during IRE of mouse tumors in vivo. The in situ prediction is enabled by coupling MREIT with a corresponding Peleg-Fermi mathematical model to obtain more informative monitoring of IRE tissue ablation by providing cell death probability in the IRE-treated tumors. This technique can potentially be used in electroporation-based clinical applications, such as IRE tissue ablation and electrochemotherapy, to improve and assure the desired treatment outcome. |
format | Online Article Text |
id | pubmed-5583379 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-55833792017-09-06 Predicting irreversible electroporation-induced tissue damage by means of magnetic resonance electrical impedance tomography Kranjc, Matej Kranjc, Simona Bajd, Franci Serša, Gregor Serša, Igor Miklavčič, Damijan Sci Rep Article Irreversible electroporation (IRE) is gaining importance in routine clinical practice for nonthermal ablation of solid tumors. For its success, it is extremely important that the coverage and exposure time of the treated tumor to the electric field is within the specified range. Measurement of electric field distribution during the electroporation treatment can be achieved using magnetic resonance electrical impedance tomography (MREIT). Here, we show improved MREIT-enabled electroporation monitoring of IRE-treated tumors by predicting IRE-ablated tumor areas during IRE of mouse tumors in vivo. The in situ prediction is enabled by coupling MREIT with a corresponding Peleg-Fermi mathematical model to obtain more informative monitoring of IRE tissue ablation by providing cell death probability in the IRE-treated tumors. This technique can potentially be used in electroporation-based clinical applications, such as IRE tissue ablation and electrochemotherapy, to improve and assure the desired treatment outcome. Nature Publishing Group UK 2017-09-04 /pmc/articles/PMC5583379/ /pubmed/28871138 http://dx.doi.org/10.1038/s41598-017-10846-5 Text en © The Author(s) 2017 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Kranjc, Matej Kranjc, Simona Bajd, Franci Serša, Gregor Serša, Igor Miklavčič, Damijan Predicting irreversible electroporation-induced tissue damage by means of magnetic resonance electrical impedance tomography |
title | Predicting irreversible electroporation-induced tissue damage by means of magnetic resonance electrical impedance tomography |
title_full | Predicting irreversible electroporation-induced tissue damage by means of magnetic resonance electrical impedance tomography |
title_fullStr | Predicting irreversible electroporation-induced tissue damage by means of magnetic resonance electrical impedance tomography |
title_full_unstemmed | Predicting irreversible electroporation-induced tissue damage by means of magnetic resonance electrical impedance tomography |
title_short | Predicting irreversible electroporation-induced tissue damage by means of magnetic resonance electrical impedance tomography |
title_sort | predicting irreversible electroporation-induced tissue damage by means of magnetic resonance electrical impedance tomography |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5583379/ https://www.ncbi.nlm.nih.gov/pubmed/28871138 http://dx.doi.org/10.1038/s41598-017-10846-5 |
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