1999
DOI: 10.1016/s0302-4598(98)00232-3
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Electrical field and current distributions in electrochemotherapy

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Cited by 18 publications
(14 citation statements)
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“…One of the major problems with respect to conductivity measurements in vivo is the inhomogeneous distribution of current density and electric field due to inhomogeneous and anisotropic properties of the tissue. For successful tissue electroporation, anatomically based mathematical models are important tools for prediction of the outcome of the treatment Brandinsky and Daskalov 1999;Miklavčič et al 2000;Šel et al 2007;Miklavčič et al 2006a).…”
Section: From Single-cell To Tissuementioning
confidence: 99%
“…One of the major problems with respect to conductivity measurements in vivo is the inhomogeneous distribution of current density and electric field due to inhomogeneous and anisotropic properties of the tissue. For successful tissue electroporation, anatomically based mathematical models are important tools for prediction of the outcome of the treatment Brandinsky and Daskalov 1999;Miklavčič et al 2000;Šel et al 2007;Miklavčič et al 2006a).…”
Section: From Single-cell To Tissuementioning
confidence: 99%
“…Besides effective conductivity the key parameter of permeabilization on a tissue level is the local electric field intensity. As the field results from a voltage applied between the electrodes, the electrode configuration influences the field distribution in tissue [17]- [19]. Electrode configurations used for tissue permeabilization are parallel plates, wire and contact plate electrodes as well as needle electrodes and needle arrays [19]- [21].…”
Section: Sequential Finite Element Model Of Tissue Electropermeabilizmentioning
confidence: 99%
“…Validated by experiments, they allow prediction of the outcome of pulse application and help in choosing the most efficient protocols and pulse parameters for specific applications. This approach also facilitates development and optimization of electrodes and their placement with respect to target tissue and can be of great help in treatment planning Brandisky and Daskalov, 1999;Miklavcic et al, 2000;Dev et al, 2003;Miklavcic et al, 2006a;Sel et al, 2007;Corovic et al, 2008;Zupanic et al, 2008). A good model verified with experimental results is a powerful tool and offers useful insight into the understanding of processes modeled.…”
Section: Introductionmentioning
confidence: 95%