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Cancer Cells Ablation with Irreversible Electroporation

Miller, Liron, Leor, Jonathan, Rubinsky, Boris·2005·Technology in Cancer Research & Treatment

Abstract

In this study we perform in vitro irreversible electroporation (IRE) experiments with human hepatocarcinoma cells (HepG2) to investigate IRE as a new technique for undesirable tissue ablation. Irreversible electroporation (IRE) is the irreversible permeabilization of the cell membrane through the application of microsecond through millisecond electrical pulses. Until now IRE was studied only as an undesirable condition during the use of reversible electroporation in gene therapy and electrochemotherapy. There was a possibility that the IRE ablation domain is mostly superimposed on the electrical pulses induced Joule heating thermal ablation domain. This study demonstrates that there is a real and substantial domain of electrical parameters for IRE ablation of cancer that is distinct from the thermal domain and which results in complete cancer cell ablation. Experiments show that the application of 1500 V/cm in three sets of ten pulses of 300 microseconds each can produce complete cancer cell ablation. We also find that the use of multiple pulses appears to be more effective for cancer cell ablation than the application of the same energy in one single pulse.

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Metadata

Authors
Miller, L., Leor, J., & Rubinsky, B.
Venue
Technology in Cancer Research & Treatment
Published
2005-12
Volume
4
Issue
6
Pages
699-705
ISSN
  • 1533-0338 (ISSN-L)
  • 1533-0346
OpenAlex
W2103898450
Cited by
298
References
0
FWCI
6.70
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Cancer Cells Ablation with Irreversible Electroporation. https://app.cochat.ai/papers/10.1177/153303460500400615
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Miller, L., Leor, J., & Rubinsky, B. (2005). Cancer Cells Ablation with Irreversible Electroporation. Technology in Cancer Research & Treatment. https://doi.org/10.1177/153303460500400615

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.