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A prospective development study of software-guided radio-frequency ablation of primary and secondary liver tumors: Clinical intervention modelling, planning and proof for ablation cancer treatment (ClinicIMPPACT)

INTRODUCTION: Radio-frequency ablation (RFA) is a promising minimal-invasive treatment option for early liver cancer, however monitoring or predicting the size of the resulting tissue necrosis during the RFA-procedure is a challenging task, potentially resulting in a significant rate of under- or ov...

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Autores principales: Reinhardt, Martin, Brandmaier, Philipp, Seider, Daniel, Kolesnik, Marina, Jenniskens, Sjoerd, Sequeiros, Roberto Blanco, Eibisberger, Martin, Voglreiter, Philip, Flanagan, Ronan, Mariappan, Panchatcharam, Busse, Harald, Moche, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5898513/
https://www.ncbi.nlm.nih.gov/pubmed/29696193
http://dx.doi.org/10.1016/j.conctc.2017.08.004
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author Reinhardt, Martin
Brandmaier, Philipp
Seider, Daniel
Kolesnik, Marina
Jenniskens, Sjoerd
Sequeiros, Roberto Blanco
Eibisberger, Martin
Voglreiter, Philip
Flanagan, Ronan
Mariappan, Panchatcharam
Busse, Harald
Moche, Michael
author_facet Reinhardt, Martin
Brandmaier, Philipp
Seider, Daniel
Kolesnik, Marina
Jenniskens, Sjoerd
Sequeiros, Roberto Blanco
Eibisberger, Martin
Voglreiter, Philip
Flanagan, Ronan
Mariappan, Panchatcharam
Busse, Harald
Moche, Michael
author_sort Reinhardt, Martin
collection PubMed
description INTRODUCTION: Radio-frequency ablation (RFA) is a promising minimal-invasive treatment option for early liver cancer, however monitoring or predicting the size of the resulting tissue necrosis during the RFA-procedure is a challenging task, potentially resulting in a significant rate of under- or over treatments. Currently there is no reliable lesion size prediction method commercially available. OBJECTIVES: ClinicIMPPACT is designed as multicenter-, prospective-, non-randomized clinical trial to evaluate the accuracy and efficiency of innovative planning and simulation software. 60 patients with early liver cancer will be included at four European clinical institutions and treated with the same RFA system. The preinterventional imaging datasets will be used for computational planning of the RFA treatment. All ablations will be simulated simultaneously to the actual RFA procedure, using the software environment developed in this project. The primary outcome measure is the comparison of the simulated ablation zones with the true lesions shown in follow-up imaging after one month, to assess accuracy of the lesion prediction. DISCUSSION: This unique multicenter clinical trial aims at the clinical integration of a dedicated software solution to accurately predict lesion size and shape after radiofrequency ablation of liver tumors. Accelerated and optimized workflow integration, and real-time intraoperative image processing, as well as inclusion of patient specific information, e.g. organ perfusion and registration of the real RFA needle position might make the introduced software a powerful tool for interventional radiologists to optimize patient outcomes.
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spelling pubmed-58985132018-04-25 A prospective development study of software-guided radio-frequency ablation of primary and secondary liver tumors: Clinical intervention modelling, planning and proof for ablation cancer treatment (ClinicIMPPACT) Reinhardt, Martin Brandmaier, Philipp Seider, Daniel Kolesnik, Marina Jenniskens, Sjoerd Sequeiros, Roberto Blanco Eibisberger, Martin Voglreiter, Philip Flanagan, Ronan Mariappan, Panchatcharam Busse, Harald Moche, Michael Contemp Clin Trials Commun Article INTRODUCTION: Radio-frequency ablation (RFA) is a promising minimal-invasive treatment option for early liver cancer, however monitoring or predicting the size of the resulting tissue necrosis during the RFA-procedure is a challenging task, potentially resulting in a significant rate of under- or over treatments. Currently there is no reliable lesion size prediction method commercially available. OBJECTIVES: ClinicIMPPACT is designed as multicenter-, prospective-, non-randomized clinical trial to evaluate the accuracy and efficiency of innovative planning and simulation software. 60 patients with early liver cancer will be included at four European clinical institutions and treated with the same RFA system. The preinterventional imaging datasets will be used for computational planning of the RFA treatment. All ablations will be simulated simultaneously to the actual RFA procedure, using the software environment developed in this project. The primary outcome measure is the comparison of the simulated ablation zones with the true lesions shown in follow-up imaging after one month, to assess accuracy of the lesion prediction. DISCUSSION: This unique multicenter clinical trial aims at the clinical integration of a dedicated software solution to accurately predict lesion size and shape after radiofrequency ablation of liver tumors. Accelerated and optimized workflow integration, and real-time intraoperative image processing, as well as inclusion of patient specific information, e.g. organ perfusion and registration of the real RFA needle position might make the introduced software a powerful tool for interventional radiologists to optimize patient outcomes. Elsevier 2017-08-18 /pmc/articles/PMC5898513/ /pubmed/29696193 http://dx.doi.org/10.1016/j.conctc.2017.08.004 Text en © 2017 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Reinhardt, Martin
Brandmaier, Philipp
Seider, Daniel
Kolesnik, Marina
Jenniskens, Sjoerd
Sequeiros, Roberto Blanco
Eibisberger, Martin
Voglreiter, Philip
Flanagan, Ronan
Mariappan, Panchatcharam
Busse, Harald
Moche, Michael
A prospective development study of software-guided radio-frequency ablation of primary and secondary liver tumors: Clinical intervention modelling, planning and proof for ablation cancer treatment (ClinicIMPPACT)
title A prospective development study of software-guided radio-frequency ablation of primary and secondary liver tumors: Clinical intervention modelling, planning and proof for ablation cancer treatment (ClinicIMPPACT)
title_full A prospective development study of software-guided radio-frequency ablation of primary and secondary liver tumors: Clinical intervention modelling, planning and proof for ablation cancer treatment (ClinicIMPPACT)
title_fullStr A prospective development study of software-guided radio-frequency ablation of primary and secondary liver tumors: Clinical intervention modelling, planning and proof for ablation cancer treatment (ClinicIMPPACT)
title_full_unstemmed A prospective development study of software-guided radio-frequency ablation of primary and secondary liver tumors: Clinical intervention modelling, planning and proof for ablation cancer treatment (ClinicIMPPACT)
title_short A prospective development study of software-guided radio-frequency ablation of primary and secondary liver tumors: Clinical intervention modelling, planning and proof for ablation cancer treatment (ClinicIMPPACT)
title_sort prospective development study of software-guided radio-frequency ablation of primary and secondary liver tumors: clinical intervention modelling, planning and proof for ablation cancer treatment (clinicimppact)
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5898513/
https://www.ncbi.nlm.nih.gov/pubmed/29696193
http://dx.doi.org/10.1016/j.conctc.2017.08.004
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