Evidence map›Paper›PMID 33446750›Full record

ArticleScientific reports2021

OpenEP: an open-source simulator for electroporation-based tumor treatments.

Matías Marino, Emmanuel Luján, Esteban Mocskos, Guillermo Marshall

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.7field-weighted citation impact, top 10% of its field
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

6 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. PIRET-A Platform for Treatment Planning in Electroporation-Based Therapies.IEEE transactions on bio-medical engineering · 2023
    Article
  3. Article
  4. Article
  5. Article
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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

4 authors at 2 institutions in 1 country.

Matías Marino *Laboratorio de Sistemas Complejos, Departamento de Computación and Instituto de Física del Plasma, Facultad de Ciencias Exactas y Naturales-CONICET, C1428EGA, CABA, Argentina.
Emmanuel Luján *Laboratorio de Sistemas Complejos, Departamento de Computación and Instituto de Física del Plasma, Facultad de Ciencias Exactas y Naturales-CONICET, C1428EGA, CABA, Argentina.
Esteban MocskosDepartamento de Computación, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, C1428EGA, CABA, Argentina. emocskos@dc.uba.ar.
Guillermo MarshallLaboratorio de Sistemas Complejos, Departamento de Computación and Instituto de Física del Plasma, Facultad de Ciencias Exactas y Naturales-CONICET, C1428EGA, CABA, Argentina. marshalg@retina.ar.
Fundación Ciencias Exactas y Naturales · ARConsejo Nacional de Investigaciones Científicas y Técnicas · AR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electroporation (EP), the increase of cell membrane permeability due to the application of electric pulses, is a universal phenomenon with a broad range of applications. In medicine, some of the foremost EP-based tumor treatments are electrochemotherapy (ECT), irreversible electroporation, and gene electrotransfer (GET). The electroporation phenomenon is explained as the formation of cell membrane pores when a transmembrane cell voltage reaches a threshold value. Predicting the outcome of an EP-based tumor treatment consists of finding the electric field distribution with an electric threshold value covering the tumor (electroporated tissue). Threshold and electroporated tissue are also a function of the number of pulses, constituting a complex phenomenon requiring mathematical modeling. We present OpenEP, an open-source specific purpose simulator for EP-based tumor treatments, modeling among other variables, threshold, and electroporated tissue variations in time. Distributed under a free/libre user license, OpenEP allows the customization of tissue type; electrode geometry and material; pulse type, intensity, length, and frequency. OpenEP facilitates the prediction of an optimal EP-based protocol, such as ECT or GET, defined as the critical pulse dosage yielding maximum electroporated tissue with minimal damage. OpenEP displays a highly efficient shared memory implementation by taking advantage of parallel resources; this permits a rapid prediction of optimal EP-based treatment efficiency by pulse number tuning.

Indexed as

ElectrochemotherapyModels, BiologicalCell Membrane PermeabilityHumansNeoplasms

Identifiers

PMID33446750
PMCPMC7809294
OpenAlexW3124753833

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.