2019
DOI: 10.1088/1361-6560/ab00c4
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Numerical workflow of irreversible electroporation for deep-seated tumor

Abstract: The paper provides a numerical workflow, based on the "real-life" clinical workflow of irreversible electroporation (IRE) performed for the treatment of deep-seated liver tumors. Thanks to a combination of numerical modeling, image registration algorithm and clinical data, our numerical workflow enables to provide the distribution of the electric field as effectively delivered by the clinical IRE procedure. As a proof of concept, we show on a specific clinical case of IRE ablation of liver tumor that clinical … Show more

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Cited by 27 publications
(38 citation statements)
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“…For this purpose, numerical simulations are performed from the real clinical data: the medical images which give the position of the organ and the tumor, the real position of the needles, and the current graphs of test pulses for tissues conductivity calibration. These data are the input parameters (see the numerical workflow detailed in Gallinato et al [20]).…”
Section: Irena: a Finite Difference Method-based Dedicated To Clinicamentioning
confidence: 99%
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“…For this purpose, numerical simulations are performed from the real clinical data: the medical images which give the position of the organ and the tumor, the real position of the needles, and the current graphs of test pulses for tissues conductivity calibration. These data are the input parameters (see the numerical workflow detailed in Gallinato et al [20]).…”
Section: Irena: a Finite Difference Method-based Dedicated To Clinicamentioning
confidence: 99%
“…Then we present the most used numerical model of tissue electroporation we investigate numerical the sensitivity to needle location and to conductivity value. Section 5 proposes a strategy which has been presented in [20]. In conclusion, we draw some clinically relevant perspectives to increase the impact of the numerical modeling on the clinical practice of EBTs.…”
Section: Objectives and Outline Of The Papermentioning
confidence: 99%
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