Math. Model. Nat. Phenom.
Volume 15, 2020
|Number of page(s)||18|
|Published online||28 February 2020|
Numerical modelling challenges for clinical electroporation ablation technique of liver tumors
INRIA Bordeaux-Sud-Ouest, CNRS, Bordeaux INP, Univ. Bordeaux, IMB, UMR 5251,
2 Department of Radiology, Hôpital Jean Verdier, Hôpitaux Universitaires Paris-Seine-Saint-Denis, Assistance Publique Hôpitaux de Paris, Avenue du 14 juillet, 93140 Bondy, France.
3 UMR 1162, Génomique Fonctionnelle des Tumeurs solides, INSERM, Paris, France.
* Corresponding author: firstname.lastname@example.org
Accepted: 2 September 2019
Electroporation ablation is a promising non surgical and minimally invasive technique of tumor ablation, for which no monitoring is currently available. In this paper, we present the recent advances and challenges on the numerical modeling of clinical electroporation ablation of liver tumors. In particular, we show that a nonlinear static electrical model of tissue combined with clinical imaging can give crucial information of the electric field distribution in the clinical configuration. We conclude the paper by presenting some important questions that have to be addressed for an effective impact of computational modeling in clinical practice of electroporation ablation.
Mathematics Subject Classification: 35J15 / 35J87 / 92B
Key words: computational tissue electroporation / clinical electroporation ablation / nonlinear electrical tissue model
© The authors. Published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.