Numerical modelling challenges for clinical electroporation ablation technique of liver tumors
| hal.structure.identifier | Modélisation Mathématique pour l'Oncologie [MONC] | |
| dc.contributor.author | GALLINATO, Olivier | |
| hal.structure.identifier | Modélisation Mathématique pour l'Oncologie [MONC] | |
| dc.contributor.author | DENIS DE SENNEVILLE, Baudouin | |
| hal.structure.identifier | Université Paris 13 [UP13] | |
| hal.structure.identifier | Centre de Recherche des Cordeliers [CRC (UMR_S_1138 / U1138)] | |
| dc.contributor.author | SEROR, Olivier | |
| hal.structure.identifier | Modélisation Mathématique pour l'Oncologie [MONC] | |
| dc.contributor.author | POIGNARD, Clair | |
| dc.date.accessioned | 2024-04-04T02:56:02Z | |
| dc.date.available | 2024-04-04T02:56:02Z | |
| dc.date.issued | 2020-02-28 | |
| dc.identifier.issn | 0973-5348 | |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/192423 | |
| dc.description.abstractEn | 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. | |
| dc.description.sponsorship | Initiative d'excellence de l'Université de Bordeaux - ANR-10-IDEX-0003 | |
| dc.description.sponsorship | Translational Research and Advanced Imaging Laboratory - ANR-10-LABX-0057 | |
| dc.language.iso | en | |
| dc.publisher | EDP Sciences | |
| dc.subject.en | Nonlinear electrical tissue mode | |
| dc.subject.en | Clinical electroporation ablation | |
| dc.subject.en | Computational tissue electroporation | |
| dc.title.en | Numerical modelling challenges for clinical electroporation ablation technique of liver tumors | |
| dc.type | Article de revue | |
| dc.identifier.doi | 10.1051/mmnp/2019037 | |
| dc.subject.hal | Mathématiques [math]/Equations aux dérivées partielles [math.AP] | |
| bordeaux.journal | Mathematical Modelling of Natural Phenomena | |
| bordeaux.volume | 15 | |
| bordeaux.hal.laboratories | Institut de Mathématiques de Bordeaux (IMB) - UMR 5251 | * |
| bordeaux.institution | Université de Bordeaux | |
| bordeaux.institution | Bordeaux INP | |
| bordeaux.institution | CNRS | |
| bordeaux.peerReviewed | oui | |
| hal.identifier | hal-02493795 | |
| hal.version | 1 | |
| hal.popular | non | |
| hal.audience | Internationale | |
| hal.origin.link | https://hal.archives-ouvertes.fr//hal-02493795v1 | |
| bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Mathematical%20Modelling%20of%20Natural%20Phenomena&rft.date=2020-02-28&rft.volume=15&rft.eissn=0973-5348&rft.issn=0973-5348&rft.au=GALLINATO,%20Olivier&DENIS%20DE%20SENNEVILLE,%20Baudouin&SEROR,%20Olivier&POIGNARD,%20Clair&rft.genre=article |
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