Please use this identifier to cite or link to this item: http://doi.org/10.25358/openscience-7581
Full metadata record
DC FieldValueLanguage
dc.contributor.authorNeulen, Axel-
dc.contributor.authorPantel, Tobias-
dc.contributor.authorKosterhon, Michael-
dc.contributor.authorKirschner, Stefanie-
dc.contributor.authorBrockmann, Marc-
dc.contributor.authorKantelhardt, Sven Rainer-
dc.contributor.authorGiese, Alf-
dc.contributor.authorThal, Serge-
dc.date.accessioned2022-08-19T10:11:41Z-
dc.date.available2022-08-19T10:11:41Z-
dc.date.issued2017
dc.identifier.urihttps://openscience.ub.uni-mainz.de/handle/20.500.12030/7595-
dc.description.abstractIntroduction Quantification of cerebral vasospasm after subarachnoid hemorrhage (SAH) is crucial in animal studies as well as clinical routine. We have developed a method for computer-based volumetric assessment of intracranial blood vessels from cross-sectional imaging data. Here we demonstrate the quantification of vasospasm from micro computed tomography (micro-CT) data in a rodent SAH model and the transferability of the volumetric approach to clinical data. Methods We obtained rodent data by performing an ex vivo micro-CT of murine brains after sham surgery or SAH by endovascular filament perforation on day 3 post hemorrhage. Clinical CT angiography (CTA) was performed for diagnostic reasons unrelated to this study. We digitally reconstructed and segmented intracranial vascular trees, followed by calculating volumes of defined vessel segments by standardized protocols using Amira® software. Results SAH animals demonstrated significantly smaller vessel diameters compared with sham (MCA: 134.4±26.9μm vs.165.0±18.7μm, p<0.05). We could highlight this difference by analyzing vessel volumes of a defined MCA-ICA segment (SAH: 0.044±0.017μl vs. sham: 0.07±0.006μl, p<0.001). Analysis of clinical CTA data allowed us to detect and volumetrically quantify vasospasm in a series of 5 SAH patients. Vessel diameters from digital reconstructions correlated well with those measured microscopically (rodent data, correlation coefficient 0.8, p<0.001), or angiographically (clinical data, 0.9, p<0.001). Conclusions Our methodological approach provides accurate anatomical reconstructions of intracranial vessels from cross-sectional imaging data. It allows volumetric assessment of entire vessel segments, hereby highlighting vasospasm-induced changes objectively in a murine SAH model. This method could also be a helpful tool for analysis of clinical CTA.en_GB
dc.description.sponsorshipDFG, Open Access-Publizieren Universität Mainz / Universitätsmedizinde
dc.language.isoengde
dc.rightsCC BY*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subject.ddc610 Medizinde_DE
dc.subject.ddc610 Medical sciencesen_GB
dc.titleA segmentation-based volumetric approach to localize and quantify cerebral vasospasm based on tomographic imaging dataen_GB
dc.typeZeitschriftenaufsatzde
dc.identifier.doihttp://doi.org/10.25358/openscience-7581-
jgu.type.dinitypearticleen_GB
jgu.type.versionPublished versionde
jgu.type.resourceTextde
jgu.organisation.departmentFB 04 Medizinde
jgu.organisation.number2700-
jgu.organisation.nameJohannes Gutenberg-Universität Mainz-
jgu.rights.accessrightsopenAccess-
jgu.journal.titlePLOS ONEde
jgu.journal.volume12de
jgu.journal.issue2de
jgu.pages.alternativee0172010de
jgu.publisher.year2017-
jgu.publisher.namePLOSde
jgu.publisher.placeSan Francisco, California, USde
jgu.publisher.urihttp://dx.doi.org/10.1371/journal.pone.0172010de
jgu.publisher.issn1932-6203de
jgu.organisation.placeMainz-
jgu.subject.ddccode610de
opus.date.modified2019-08-06T10:04:21Z
opus.subject.dfgcode00-000
opus.organisation.stringFB 04: Medizin: Klinik für Anästhesiologiede_DE
opus.organisation.stringFB 04: Medizin: Institut für Neuroradiologiede_DE
opus.organisation.stringFB 04: Medizin: Neurochirurgische Klinik und Poliklinikde_DE
opus.identifier.opusid57983
opus.institute.number0418
opus.institute.number0421
opus.institute.number0441
opus.metadataonlyfalse
opus.type.contenttypeKeinede_DE
opus.type.contenttypeNoneen_EN
opus.affiliatedNeulen, Axel
opus.affiliatedKantelhardt, Sven Rainer
opus.affiliatedGiese, Alf
opus.affiliatedThal, Serge
jgu.publisher.doi10.1371/journal.pone.0172010de
jgu.organisation.rorhttps://ror.org/023b0x485-
Appears in collections:DFG-OA-Publizieren (2012 - 2017)

Files in This Item:
  File Description SizeFormat
Thumbnail
a_segmentationbased_volumetri-20220817164743951.pdf1.76 MBAdobe PDFView/Open