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)

dc.contributor.authorReinhardt M
dc.contributor.authorBrandmaier P
dc.contributor.authorSeider D
dc.contributor.authorKolesnik M
dc.contributor.authorJenniskens S
dc.contributor.authorSequeiros RB
dc.contributor.authorEibisberger M
dc.contributor.authorVoglreiter P
dc.contributor.authorFlanagan R
dc.contributor.authorMariappan P
dc.contributor.authorBusse H
dc.contributor.authorMoche M
dc.contributor.organizationfi=kuvantaminen ja kliininen diagnostiikka|en=Imaging and Clinical Diagnostics|
dc.contributor.organizationfi=tyks, vsshp|en=tyks, varha|
dc.contributor.organization-code1.2.246.10.2458963.20.69079168212
dc.converis.publication-id27875870
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/27875870
dc.date.accessioned2022-10-28T13:49:35Z
dc.date.available2022-10-28T13:49:35Z
dc.description.abstractIntroduction: 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 pre-interventional 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.
dc.format.pagerange25
dc.format.pagerange32
dc.identifier.jour-issn2451-8654
dc.identifier.olddbid184576
dc.identifier.oldhandle10024/167670
dc.identifier.urihttps://www.utupub.fi/handle/11111/50474
dc.identifier.urnURN:NBN:fi-fe2021042717731
dc.language.isoen
dc.okm.affiliatedauthorBlanco Sequeiros, Roberto
dc.okm.affiliatedauthorDataimport, tyks, vsshp
dc.okm.discipline3122 Cancersen_GB
dc.okm.discipline3126 Surgery, anesthesiology, intensive care, radiologyen_GB
dc.okm.discipline3122 Syöpätauditfi_FI
dc.okm.discipline3126 Kirurgia, anestesiologia, tehohoito, radiologiafi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherELSEVIER INC
dc.publisher.countryUnited Statesen_GB
dc.publisher.countryYhdysvallat (USA)fi_FI
dc.publisher.country-codeUS
dc.relation.doi10.1016/j.conctc.2017.08.004
dc.relation.ispartofjournalContemporary Clinical Trials Communications
dc.relation.volume8
dc.source.identifierhttps://www.utupub.fi/handle/10024/167670
dc.titleA 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)
dc.year.issued2017

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