Autoren:	Neulen, Axel Pantel, Tobias Kosterhon, Michael Kirschner, Stefanie Brockmann, Marc Kantelhardt, Sven Rainer Giese, Alf Thal, Serge
Titel:	A segmentation-based volumetric approach to localize and quantify cerebral vasospasm based on tomographic imaging data
Online-Publikationsdatum:	19-Aug-2022
Erscheinungsdatum:	2017
Sprache des Dokuments:	Englisch
Zusammenfassung/Abstract:	Introduction 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.
DDC-Sachgruppe:	610 Medizin 610 Medical sciences
Veröffentlichende Institution:	Johannes Gutenberg-Universität Mainz
Organisationseinheit:	FB 04 Medizin
Veröffentlichungsort:	Mainz
ROR:	https://ror.org/023b0x485
DOI:	http://doi.org/10.25358/openscience-7581
Version:	Published version
Publikationstyp:	Zeitschriftenaufsatz
Nutzungsrechte:	CC BY
Informationen zu den Nutzungsrechten:	https://creativecommons.org/licenses/by/4.0/
Zeitschrift:	PLOS ONE 12 2
Seitenzahl oder Artikelnummer:	e0172010
Verlag:	PLOS
Verlagsort:	San Francisco, California, US
Erscheinungsdatum:	2017
ISSN:	1932-6203
URL der Originalveröffentlichung:	http://dx.doi.org/10.1371/journal.pone.0172010
DOI der Originalveröffentlichung:	10.1371/journal.pone.0172010
Enthalten in den Sammlungen:	DFG-OA-Publizieren (2012 - 2017)