Time-Dependent Finite Element Analysis of In Vivo Electrochemotherapy Treatment

Electrochemotherapy and irreversible electroporation are gaining importance in clinical practice for the treatment of solid tumors. For successful treatment, it is extremely important that the coverage and exposure time of the treated tumor to the electric field are within the specified range. In or...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Technology in cancer research & treatment 2018-01, Vol.17, p.1533033818790510-1533033818790510
Hauptverfasser: Pintar, Matevž, Langus, Janez, Edhemović, Ibrahim, Brecelj, Erik, Kranjc, Matej, Sersa, Gregor, Šuštar, Tomaž, Rodič, Tomaž, Miklavčič, Damijan, Kotnik, Tadej, Kos, Bor
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 1533033818790510
container_issue
container_start_page 1533033818790510
container_title Technology in cancer research & treatment
container_volume 17
creator Pintar, Matevž
Langus, Janez
Edhemović, Ibrahim
Brecelj, Erik
Kranjc, Matej
Sersa, Gregor
Šuštar, Tomaž
Rodič, Tomaž
Miklavčič, Damijan
Kotnik, Tadej
Kos, Bor
description Electrochemotherapy and irreversible electroporation are gaining importance in clinical practice for the treatment of solid tumors. For successful treatment, it is extremely important that the coverage and exposure time of the treated tumor to the electric field are within the specified range. In order to ensure successful coverage of the entire target volume with sufficiently strong electric fields, numerical treatment planning has been proposed and its use has also been demonstrated in practice. Most of numerical models in treatment planning are based on charge conservation equation and are not able to provide time course of electric current, electrical conductivity, or electric field distribution changes established in the tissue during pulse delivery. Recently, a model based on inverse analysis of experimental data that delivers time course of tissue electroporation has been introduced. The aim of this study was to apply the previously reported time-dependent numerical model to a complex in vivo example of electroporation with different tissue types and with a long-term follow-up. The model, consisting of a tumor placed in the liver with 2 needle electrodes inserted in the center of the tumor and 4 around the tumor, was validated by comparison of measured and calculated time course of applied electric current. Results of simulations clearly indicated that proposed numerical model can successfully capture transient effects, such as evolution of electric current during each pulse, and effects of pulse frequency due to electroporation effects in the tissue. Additionally, the model can provide evolution of electric field amplitude and electrical conductivity in the tumor with consecutive pulse sequences.
doi_str_mv 10.1177/1533033818790510
format Article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6083743</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sage_id>10.1177_1533033818790510</sage_id><sourcerecordid>2086263118</sourcerecordid><originalsourceid>FETCH-LOGICAL-c462t-d54493ba993d5186667c5f671a3e936f3785bb3d85d5c0ce0aaf64681b67a843</originalsourceid><addsrcrecordid>eNp1kctLxDAQxoMoPlbvnqTgxUs16aRpehHENwheFq8hTadupG3WpCvsf2_KrusDPCWZ-c03k_kIOWb0nLGiuGA5AAWQTBYlzRndIvtjKB1j25s7F3vkIIQ3SjMhgO2SPaBUljzj--R5ajtMb3COfY39kNzZ3g6Y3LbYjc-rXrfLYEPimuSxT17shxtzZvDOzLBzwwy9ni-TqUc9jBWHZKfRbcCj9Tkh07vb6fVD-vR8_3h99ZQaLrIhrXPOS6h0WUKdMymEKEzeiIJpwBJEA4XMqwpqmde5oQap1o3gQrJKFFpymJDLlex8UXVYm9jZ61bNve20Xyqnrfqd6e1MvboPJaiEgkMUOFsLePe-wDCozgaDbat7dIugMipFFpfFZERP_6BvbuHjYiIFDEoZrSgjRVeU8S4Ej81mGEbVaJb6a1YsOfn5iU3BlzsRSFdA0K_43fVfwU-a75um</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2313981179</pqid></control><display><type>article</type><title>Time-Dependent Finite Element Analysis of In Vivo Electrochemotherapy Treatment</title><source>PubMed Central Free</source><source>DOAJ Directory of Open Access Journals</source><source>Sage Journals GOLD Open Access 2024</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Pintar, Matevž ; Langus, Janez ; Edhemović, Ibrahim ; Brecelj, Erik ; Kranjc, Matej ; Sersa, Gregor ; Šuštar, Tomaž ; Rodič, Tomaž ; Miklavčič, Damijan ; Kotnik, Tadej ; Kos, Bor</creator><creatorcontrib>Pintar, Matevž ; Langus, Janez ; Edhemović, Ibrahim ; Brecelj, Erik ; Kranjc, Matej ; Sersa, Gregor ; Šuštar, Tomaž ; Rodič, Tomaž ; Miklavčič, Damijan ; Kotnik, Tadej ; Kos, Bor</creatorcontrib><description>Electrochemotherapy and irreversible electroporation are gaining importance in clinical practice for the treatment of solid tumors. For successful treatment, it is extremely important that the coverage and exposure time of the treated tumor to the electric field are within the specified range. In order to ensure successful coverage of the entire target volume with sufficiently strong electric fields, numerical treatment planning has been proposed and its use has also been demonstrated in practice. Most of numerical models in treatment planning are based on charge conservation equation and are not able to provide time course of electric current, electrical conductivity, or electric field distribution changes established in the tissue during pulse delivery. Recently, a model based on inverse analysis of experimental data that delivers time course of tissue electroporation has been introduced. The aim of this study was to apply the previously reported time-dependent numerical model to a complex in vivo example of electroporation with different tissue types and with a long-term follow-up. The model, consisting of a tumor placed in the liver with 2 needle electrodes inserted in the center of the tumor and 4 around the tumor, was validated by comparison of measured and calculated time course of applied electric current. Results of simulations clearly indicated that proposed numerical model can successfully capture transient effects, such as evolution of electric current during each pulse, and effects of pulse frequency due to electroporation effects in the tissue. Additionally, the model can provide evolution of electric field amplitude and electrical conductivity in the tumor with consecutive pulse sequences.</description><identifier>ISSN: 1533-0346</identifier><identifier>EISSN: 1533-0338</identifier><identifier>DOI: 10.1177/1533033818790510</identifier><identifier>PMID: 30089424</identifier><language>eng</language><publisher>Los Angeles, CA: SAGE Publications</publisher><subject>Electric fields ; Original</subject><ispartof>Technology in cancer research &amp; treatment, 2018-01, Vol.17, p.1533033818790510-1533033818790510</ispartof><rights>The Author(s) 2018</rights><rights>The Author(s) 2018. This work is licensed under the Creative Commons Attribution – Non-Commercial License http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2018 2018 SAGE Publications</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c462t-d54493ba993d5186667c5f671a3e936f3785bb3d85d5c0ce0aaf64681b67a843</citedby><cites>FETCH-LOGICAL-c462t-d54493ba993d5186667c5f671a3e936f3785bb3d85d5c0ce0aaf64681b67a843</cites><orcidid>0000-0001-6219-7046</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6083743/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6083743/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,21966,27853,27924,27925,44945,45333,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30089424$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Pintar, Matevž</creatorcontrib><creatorcontrib>Langus, Janez</creatorcontrib><creatorcontrib>Edhemović, Ibrahim</creatorcontrib><creatorcontrib>Brecelj, Erik</creatorcontrib><creatorcontrib>Kranjc, Matej</creatorcontrib><creatorcontrib>Sersa, Gregor</creatorcontrib><creatorcontrib>Šuštar, Tomaž</creatorcontrib><creatorcontrib>Rodič, Tomaž</creatorcontrib><creatorcontrib>Miklavčič, Damijan</creatorcontrib><creatorcontrib>Kotnik, Tadej</creatorcontrib><creatorcontrib>Kos, Bor</creatorcontrib><title>Time-Dependent Finite Element Analysis of In Vivo Electrochemotherapy Treatment</title><title>Technology in cancer research &amp; treatment</title><addtitle>Technol Cancer Res Treat</addtitle><description>Electrochemotherapy and irreversible electroporation are gaining importance in clinical practice for the treatment of solid tumors. For successful treatment, it is extremely important that the coverage and exposure time of the treated tumor to the electric field are within the specified range. In order to ensure successful coverage of the entire target volume with sufficiently strong electric fields, numerical treatment planning has been proposed and its use has also been demonstrated in practice. Most of numerical models in treatment planning are based on charge conservation equation and are not able to provide time course of electric current, electrical conductivity, or electric field distribution changes established in the tissue during pulse delivery. Recently, a model based on inverse analysis of experimental data that delivers time course of tissue electroporation has been introduced. The aim of this study was to apply the previously reported time-dependent numerical model to a complex in vivo example of electroporation with different tissue types and with a long-term follow-up. The model, consisting of a tumor placed in the liver with 2 needle electrodes inserted in the center of the tumor and 4 around the tumor, was validated by comparison of measured and calculated time course of applied electric current. Results of simulations clearly indicated that proposed numerical model can successfully capture transient effects, such as evolution of electric current during each pulse, and effects of pulse frequency due to electroporation effects in the tissue. Additionally, the model can provide evolution of electric field amplitude and electrical conductivity in the tumor with consecutive pulse sequences.</description><subject>Electric fields</subject><subject>Original</subject><issn>1533-0346</issn><issn>1533-0338</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>AFRWT</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp1kctLxDAQxoMoPlbvnqTgxUs16aRpehHENwheFq8hTadupG3WpCvsf2_KrusDPCWZ-c03k_kIOWb0nLGiuGA5AAWQTBYlzRndIvtjKB1j25s7F3vkIIQ3SjMhgO2SPaBUljzj--R5ajtMb3COfY39kNzZ3g6Y3LbYjc-rXrfLYEPimuSxT17shxtzZvDOzLBzwwy9ni-TqUc9jBWHZKfRbcCj9Tkh07vb6fVD-vR8_3h99ZQaLrIhrXPOS6h0WUKdMymEKEzeiIJpwBJEA4XMqwpqmde5oQap1o3gQrJKFFpymJDLlex8UXVYm9jZ61bNve20Xyqnrfqd6e1MvboPJaiEgkMUOFsLePe-wDCozgaDbat7dIugMipFFpfFZERP_6BvbuHjYiIFDEoZrSgjRVeU8S4Ej81mGEbVaJb6a1YsOfn5iU3BlzsRSFdA0K_43fVfwU-a75um</recordid><startdate>20180101</startdate><enddate>20180101</enddate><creator>Pintar, Matevž</creator><creator>Langus, Janez</creator><creator>Edhemović, Ibrahim</creator><creator>Brecelj, Erik</creator><creator>Kranjc, Matej</creator><creator>Sersa, Gregor</creator><creator>Šuštar, Tomaž</creator><creator>Rodič, Tomaž</creator><creator>Miklavčič, Damijan</creator><creator>Kotnik, Tadej</creator><creator>Kos, Bor</creator><general>SAGE Publications</general><general>Sage Publications Ltd</general><scope>AFRWT</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TO</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-6219-7046</orcidid></search><sort><creationdate>20180101</creationdate><title>Time-Dependent Finite Element Analysis of In Vivo Electrochemotherapy Treatment</title><author>Pintar, Matevž ; Langus, Janez ; Edhemović, Ibrahim ; Brecelj, Erik ; Kranjc, Matej ; Sersa, Gregor ; Šuštar, Tomaž ; Rodič, Tomaž ; Miklavčič, Damijan ; Kotnik, Tadej ; Kos, Bor</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c462t-d54493ba993d5186667c5f671a3e936f3785bb3d85d5c0ce0aaf64681b67a843</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Electric fields</topic><topic>Original</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pintar, Matevž</creatorcontrib><creatorcontrib>Langus, Janez</creatorcontrib><creatorcontrib>Edhemović, Ibrahim</creatorcontrib><creatorcontrib>Brecelj, Erik</creatorcontrib><creatorcontrib>Kranjc, Matej</creatorcontrib><creatorcontrib>Sersa, Gregor</creatorcontrib><creatorcontrib>Šuštar, Tomaž</creatorcontrib><creatorcontrib>Rodič, Tomaž</creatorcontrib><creatorcontrib>Miklavčič, Damijan</creatorcontrib><creatorcontrib>Kotnik, Tadej</creatorcontrib><creatorcontrib>Kos, Bor</creatorcontrib><collection>Sage Journals GOLD Open Access 2024</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Technology in cancer research &amp; treatment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pintar, Matevž</au><au>Langus, Janez</au><au>Edhemović, Ibrahim</au><au>Brecelj, Erik</au><au>Kranjc, Matej</au><au>Sersa, Gregor</au><au>Šuštar, Tomaž</au><au>Rodič, Tomaž</au><au>Miklavčič, Damijan</au><au>Kotnik, Tadej</au><au>Kos, Bor</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Time-Dependent Finite Element Analysis of In Vivo Electrochemotherapy Treatment</atitle><jtitle>Technology in cancer research &amp; treatment</jtitle><addtitle>Technol Cancer Res Treat</addtitle><date>2018-01-01</date><risdate>2018</risdate><volume>17</volume><spage>1533033818790510</spage><epage>1533033818790510</epage><pages>1533033818790510-1533033818790510</pages><issn>1533-0346</issn><eissn>1533-0338</eissn><abstract>Electrochemotherapy and irreversible electroporation are gaining importance in clinical practice for the treatment of solid tumors. For successful treatment, it is extremely important that the coverage and exposure time of the treated tumor to the electric field are within the specified range. In order to ensure successful coverage of the entire target volume with sufficiently strong electric fields, numerical treatment planning has been proposed and its use has also been demonstrated in practice. Most of numerical models in treatment planning are based on charge conservation equation and are not able to provide time course of electric current, electrical conductivity, or electric field distribution changes established in the tissue during pulse delivery. Recently, a model based on inverse analysis of experimental data that delivers time course of tissue electroporation has been introduced. The aim of this study was to apply the previously reported time-dependent numerical model to a complex in vivo example of electroporation with different tissue types and with a long-term follow-up. The model, consisting of a tumor placed in the liver with 2 needle electrodes inserted in the center of the tumor and 4 around the tumor, was validated by comparison of measured and calculated time course of applied electric current. Results of simulations clearly indicated that proposed numerical model can successfully capture transient effects, such as evolution of electric current during each pulse, and effects of pulse frequency due to electroporation effects in the tissue. Additionally, the model can provide evolution of electric field amplitude and electrical conductivity in the tumor with consecutive pulse sequences.</abstract><cop>Los Angeles, CA</cop><pub>SAGE Publications</pub><pmid>30089424</pmid><doi>10.1177/1533033818790510</doi><orcidid>https://orcid.org/0000-0001-6219-7046</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1533-0346
ispartof Technology in cancer research & treatment, 2018-01, Vol.17, p.1533033818790510-1533033818790510
issn 1533-0346
1533-0338
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6083743
source PubMed Central Free; DOAJ Directory of Open Access Journals; Sage Journals GOLD Open Access 2024; EZB-FREE-00999 freely available EZB journals
subjects Electric fields
Original
title Time-Dependent Finite Element Analysis of In Vivo Electrochemotherapy Treatment
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-24T22%3A45%3A02IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Time-Dependent%20Finite%20Element%20Analysis%20of%20In%20Vivo%20Electrochemotherapy%20Treatment&rft.jtitle=Technology%20in%20cancer%20research%20&%20treatment&rft.au=Pintar,%20Matev%C5%BE&rft.date=2018-01-01&rft.volume=17&rft.spage=1533033818790510&rft.epage=1533033818790510&rft.pages=1533033818790510-1533033818790510&rft.issn=1533-0346&rft.eissn=1533-0338&rft_id=info:doi/10.1177/1533033818790510&rft_dat=%3Cproquest_pubme%3E2086263118%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2313981179&rft_id=info:pmid/30089424&rft_sage_id=10.1177_1533033818790510&rfr_iscdi=true