Geodesic
Numerical modelling challenges for clinical electroporation ablation technique of liver tumors
Olivier Gallinato1 ; Baudouin Denis de Senneville1 ; Olivier Seror2, 3 ; Clair Poignard1
1 INRIA Bordeaux-Sud-Ouest, CNRS, Bordeaux INP, Univ. Bordeaux, IMB, UMR 5251, 33400 Talence, France.
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.
Mathematical modelling of natural phenomena, Tome 15 (2020), article no. 11

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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.
DOI : 10.1051/mmnp/2019037

Olivier Gallinato 1 ; Baudouin Denis de Senneville 1 ; Olivier Seror 2, 3 ; Clair Poignard 1

1 INRIA Bordeaux-Sud-Ouest, CNRS, Bordeaux INP, Univ. Bordeaux, IMB, UMR 5251, 33400 Talence, France.
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. 
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Olivier Gallinato; Baudouin Denis de Senneville; Olivier Seror; Clair Poignard. Numerical modelling challenges for clinical electroporation ablation technique of liver tumors. Mathematical modelling of natural phenomena, Tome 15 (2020), article  no. 11. doi: 10.1051/mmnp/2019037

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