Evidence map›Paper›PMID 17937793›Full record

ArticleBiomedical engineering online2007

Analytical and numerical quantification and comparison of the local electric field in the tissue for different electrode configurations.

Selma Corović, Mojca Pavlin, Damijan Miklavcic

Abstract read
In one paragraph

Article in Biomedical engineering online, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  5. Article
  6. Review
  7. Article
  8. Antitumor effects of electrochemical treatment.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2013
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Electro-gene transfer to skin using a noninvasive multielectrode array.Journal of controlled release : official journal of the Controlled Release Society · 2011
    Article
  14. Article
  15. Article
  16. Article
  17. An e-learning application on electrochemotherapy.Biomedical engineering online · 2009
    Article
  18. Activating function of needle electrodes in anisotropic tissue.Medical & biological engineering & computing · 2009
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Selma CorovićUniversity of Ljubljana, Faculty of Electrical Engineering, Ljubljana, Slovenia. selma.corovic@fe.uni-lj.si
Mojca Pavlin
Damijan Miklavcic

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundElectrochemotherapy and gene electrotransfer are novel promising treatments employing locally applied high electric pulses to introduce chemotherapeutic drugs into tumor cells or genes into target cells based on the cell membrane electroporation. The main focus of this paper was to calculate analytically and numerically local electric field distribution inside the treated tissue in two dimensional (2D) models for different plate and needle electrode configurations and to compare the local electric field distribution to parameter U/d, which is widely used in electrochemotherapy and gene electrotransfer studies. We demonstrate the importance of evaluating the local electric field distribution in electrochemotherapy and gene electrotransfer.

methodsWe analytically and numerically analyze electric field distribution based on 2D models for electrodes and electrode configurations which are most widely used in electrochemotherapy and gene electrotransfer. Analytical calculations were performed by solving the Laplace equation and numerical calculations by means of finite element method in two dimensions.

resultsWe determine the minimal and maximal E inside the target tissue as well as the maximal E over the entire treated tissue for the given electrode configurations. By comparing the local electric field distribution calculated for different electrode configurations to the ratio U/d, we show that the parameter U/d can differ significantly from the actual calculated values of the local electric field inside the treated tissue. By calculating the needed voltage to obtain E > U/d inside the target tissue, we showed that better electric field distribution can be obtained by increasing the number and changing the arrangement of the electrodes.

conclusionBased on our analytical and numerical models of the local electric field distribution we show that the applied voltage, configuration of the electrodes and electrode position need to be chosen specifically for each individual case, and that numerical modeling can be used to optimize the appropriate electrode configuration and adequate voltage. Using numerical models we further calculate the needed voltage for a specific electrode configuration to achieve adequate E inside the target tissue while minimizing damages of the surrounding tissue. We present also analytical solutions, which provide a convenient, rapid, but approximate method for a pre-analysis of electric field distribution in treated tissue.

Indexed as

Electromagnetic FieldsModels, StructuralNumerical Analysis, Computer-AssistedCell Membrane PermeabilityElectric ImpedanceElectric StimulationElectrochemotherapyElectrodesFinite Element AnalysisGenetic TherapyGene Transfer TechniquesModels, BiologicalReference StandardsReproducibility of Results

Identifiers

PMID17937793
PMCPMC2100058

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.