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Uncertainty Quantification in Irreversible Electroporation Simulations
One recent area of cancer research is irreversible electroporation (IRE). Irreversible electroporation is a minimally invasive procedure where needle electrodes are inserted into the body to ablate tumor cells with electricity. The aim of this paper is to investigate how uncertainty in tissue and tu...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2017
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5590475/ https://www.ncbi.nlm.nih.gov/pubmed/28952520 http://dx.doi.org/10.3390/bioengineering4020041 |
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author | Labarbera, Nicholas |
author_facet | Labarbera, Nicholas |
author_sort | Labarbera, Nicholas |
collection | PubMed |
description | One recent area of cancer research is irreversible electroporation (IRE). Irreversible electroporation is a minimally invasive procedure where needle electrodes are inserted into the body to ablate tumor cells with electricity. The aim of this paper is to investigate how uncertainty in tissue and tumor conductivity propagate into final ablation predictions used for treatment planning. Two dimensional simulations were performed for a circular tumor surrounded by healthy tissue, and electroporated from two monopolar electrodes. The conductivity values were treated as random variables whose distributions were taken from published literature on the average and standard deviation of liver tissue and liver tumors. Three different Monte Carlo setups were simulated each at three different voltages. Average and standard deviation data was reported for a multitude of electrical field properties experienced by the tumor. Plots showing the variability in the electrical field distribution throughout the tumor are also presented. |
format | Online Article Text |
id | pubmed-5590475 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-55904752017-09-21 Uncertainty Quantification in Irreversible Electroporation Simulations Labarbera, Nicholas Bioengineering (Basel) Article One recent area of cancer research is irreversible electroporation (IRE). Irreversible electroporation is a minimally invasive procedure where needle electrodes are inserted into the body to ablate tumor cells with electricity. The aim of this paper is to investigate how uncertainty in tissue and tumor conductivity propagate into final ablation predictions used for treatment planning. Two dimensional simulations were performed for a circular tumor surrounded by healthy tissue, and electroporated from two monopolar electrodes. The conductivity values were treated as random variables whose distributions were taken from published literature on the average and standard deviation of liver tissue and liver tumors. Three different Monte Carlo setups were simulated each at three different voltages. Average and standard deviation data was reported for a multitude of electrical field properties experienced by the tumor. Plots showing the variability in the electrical field distribution throughout the tumor are also presented. MDPI 2017-05-06 /pmc/articles/PMC5590475/ /pubmed/28952520 http://dx.doi.org/10.3390/bioengineering4020041 Text en © 2017 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Labarbera, Nicholas Uncertainty Quantification in Irreversible Electroporation Simulations |
title | Uncertainty Quantification in Irreversible Electroporation Simulations |
title_full | Uncertainty Quantification in Irreversible Electroporation Simulations |
title_fullStr | Uncertainty Quantification in Irreversible Electroporation Simulations |
title_full_unstemmed | Uncertainty Quantification in Irreversible Electroporation Simulations |
title_short | Uncertainty Quantification in Irreversible Electroporation Simulations |
title_sort | uncertainty quantification in irreversible electroporation simulations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5590475/ https://www.ncbi.nlm.nih.gov/pubmed/28952520 http://dx.doi.org/10.3390/bioengineering4020041 |
work_keys_str_mv | AT labarberanicholas uncertaintyquantificationinirreversibleelectroporationsimulations |