ArticleFrontiers in bioengineering and biotechnology2020
Development of a Multi-Pulse Conductivity Model for Liver Tissue Treated With Pulsed Electric Fields.
Article in Frontiers in bioengineering and biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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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.
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Who cites it
4 citing papers in PubMed, 21 citations in OpenAlex.
- Minimization of Cancellation Effect with Nisin During Bipolar Nanosecond Electrochemotherapy.International journal of molecular sciences · 2026Article
- Article
- Modeling of a single bipolar electrode with tines for irreversible electroporation delivery.Computers in biology and medicine · 2022Article
- Rapid Impedance Spectroscopy for Monitoring Tissue Impedance, Temperature, and Treatment Outcome During Electroporation-Based Therapies.IEEE transactions on bio-medical engineering · 2021Article
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
Abstract
Pulsed electric field treatment modalities typically utilize multiple pulses to permeabilize biological tissue. This electroporation process induces conductivity changes in the tissue, which are indicative of the extent of electroporation. In this study, we characterized the electroporation-induced conductivity changes using all treatment pulses instead of solely the first pulse as in conventional conductivity models. Rabbit liver tissue was employed to study the tissue conductivity changes caused by multiple, 100 μs pulses delivered through flat plate electrodes. Voltage and current data were recorded during treatment and used to calculate the tissue conductivity during the entire pulsing process. Temperature data were also recorded to quantify the contribution of Joule heating to the conductivity according to the tissue temperature coefficient. By fitting all these data to a modified Heaviside function, where the two turning points (
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Registered trials
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