Numerical workflow of irreversible electroporation for deep-seated tumor

Olivier Gallinato, Baudouin Denis de Senneville, Olivier Seror, Clair Poignard
<span title="2019-03-07">2019</span> <i title="IOP Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/zuggg3zvsfaatpw6invuoevl7a" style="color: black;">Physics in Medicine and Biology</a> </i> &nbsp;
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
more &raquo; ... that clinical data could be advantageously combined to numerical simulations in a near future, in order to give to the interventional radiologists information on the effective IRE ablation. We also corroborate the simulated treated region with the post-treatment MRI performed 3 d after the treatment.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1088/1361-6560/ab00c4">doi:10.1088/1361-6560/ab00c4</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/30669121">pmid:30669121</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3ybhhnxzgfaahgdmuixndgqs6m">fatcat:3ybhhnxzgfaahgdmuixndgqs6m</a> </span>
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