Patient-individualized resection planning in liver surgery using 3D print and virtual reality (i-LiVR) : a study protocol for a prospective randomized controlled trial

dc.contributor.authorHuber, Tobias
dc.contributor.authorHanke, Laura Isabel
dc.contributor.authorBoedecker, Christian
dc.contributor.authorVradelis, Lukas
dc.contributor.authorBaumgart, Janine
dc.contributor.authorHeinrich, Stefan
dc.contributor.authorBartsch, Fabian
dc.contributor.authorMittler, Jens
dc.contributor.authorSchulze, Alicia
dc.contributor.authorHansen, Christian
dc.contributor.authorHüttl, Florentine
dc.contributor.authorLang, Hauke
dc.date.accessioned2023-02-10T08:37:00Z
dc.date.available2023-02-10T08:37:00Z
dc.date.issued2022
dc.description.abstractBackground A multitude of different diseases—benign and malign—can require surgery of the liver. The liver is an especially challenging organ for resection planning due to its unique and interindividually variable anatomy. This demands a high amount of mental imagination from the surgeon in order to plan accordingly - a skill, which takes years of training to acquire and which is difficult to teach. Since the volume of the functional remnant liver is of great importance, parenchyma sparing resections are favoured. 3D reconstructions of computed tomography imaging enable a more precise understanding of anatomy and facilitate resection planning. The modality of presentation of these 3D models ranges from 2D monitors to 3D prints and virtual reality applications. Methods The presented trial compares three different modes of demonstration of a 3D reconstruction of CT scans of the liver, which are 3D print, a demonstration on a regular computer screen or using a head-mounted virtual reality headset, with the current gold standard of viewing the CT scan on a computer screen. The group size was calculated with n=25 each. Patients with major liver resections in a laparoscopic or open fashion are eligible for inclusion. Main endpoint is the comparison of the quotient between planned resection volume and actual resection volume between these groups. Secondary endpoints include usability for the surgical team as well as patient specifics and perioperative outcome measures and teaching issues. Discussion The described study will give insight in systematic planning of liver resections and the comparison of different demonstration modalities of 3D reconstruction of preoperative CT scans and the preference of technology. Especially teaching of these demanding operations is underrepresented in prior investigations.en_GB
dc.description.sponsorshipGefördert durch die Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 491381577
dc.identifier.doihttp://doi.org/10.25358/openscience-8791
dc.identifier.urihttps://openscience.ub.uni-mainz.de/handle/20.500.12030/8807
dc.language.isoeng
dc.rightsCC-BY-4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc610 Medizinde_DE
dc.subject.ddc610 Medical sciencesen_GB
dc.titlePatient-individualized resection planning in liver surgery using 3D print and virtual reality (i-LiVR) : a study protocol for a prospective randomized controlled trialen_GB
dc.typeZeitschriftenaufsatzde_DE
jgu.apc.netprice1512,00
jgu.apc.price1799,28
jgu.apc.taxrate19
jgu.apc.transformationcontractSpringer (DEAL)
jgu.dfg.year2022
jgu.journal.titleTrials
jgu.journal.volume23
jgu.nationalcurrency.eur1799,28
jgu.organisation.departmentFB 04 Medizinde_DE
jgu.organisation.nameJohannes Gutenberg-Universität Mainzde_DE
jgu.organisation.number2700
jgu.organisation.placeMainz
jgu.organisation.rorhttps://ror.org/023b0x485
jgu.pages.alternative403
jgu.publisher.doi10.1186/s13063-022-06347-0
jgu.publisher.issn1745-6215
jgu.publisher.nameBioMed Central
jgu.publisher.placeLondon
jgu.publisher.year2022
jgu.rights.accessrightsopenAccessen_GB
jgu.subject.ddccode610
jgu.subject.dfgLebenswissenschaftende_DE
jgu.type.dinitypeArticleen_GB
jgu.type.resourceTexten_GB
jgu.type.versionPublished versionen_GB

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