Evidence map›Paper›PMID 27211822›Full record

ArticleScientific reports2016

Dynamic finite-element model for efficient modelling of electric currents in electroporated tissue.

J Langus, M Kranjc, B Kos, T Šuštar, D Miklavčič

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Dynamic Electroporation Model Evaluation on Rabbit Tissues.Annals of biomedical engineering · 2021
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. A Review on Electroporation-Based Intracellular Delivery.Molecules (Basel, Switzerland) · 2018
    Review
  9. Article
  10. Article
  11. Article
  12. 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

5 authors.

J LangusC3M d.o.o., Technology park 21, SI-1000 Ljubljana, Slovenia.
M KranjcUniversity of Ljubljana, Faculty of Electrical Engineering, Laboratory of Biocybernetics, Tržaška 25, 1000 Ljubljana, Slovenia.
B KosUniversity of Ljubljana, Faculty of Electrical Engineering, Laboratory of Biocybernetics, Tržaška 25, 1000 Ljubljana, Slovenia.
T ŠuštarC3M d.o.o., Technology park 21, SI-1000 Ljubljana, Slovenia.
D MiklavčičUniversity of Ljubljana, Faculty of Electrical Engineering, Laboratory of Biocybernetics, Tržaška 25, 1000 Ljubljana, Slovenia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In silico experiments (numerical simulations) are a valuable tool for non-invasive research of the influences of tissue properties, electrode placement and electric pulse delivery scenarios in the process of electroporation. The work described in this article was aimed at introducing time dependent effects into a finite element model developed specifically for electroporation. Reference measurements were made ex vivo on beef liver samples and experimental data were used both as an initial condition for simulation (applied pulse voltage) and as a reference value for numerical model calibration (measured pulse current). The developed numerical model is able to predict the time evolution of an electric pulse current within a 5% error over a broad range of applied pulse voltages, pulse durations and pulse repetition frequencies. Given the good agreement of the current flowing between the electrodes, we are confident that the results of our numerical model can be used both for detailed in silico research of electroporation mechanisms (giving researchers insight into time domain effects) and better treatment planning algorithms, which predict the outcome of treatment based on both spatial and temporal distributions of applied electric pulses.

Indexed as

AnimalsCattleComputer SimulationElectric ConductivityElectrochemotherapyElectroporationFinite Element AnalysisLiverModels, Biological

Identifiers

PMID27211822
PMCPMC4876422

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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.