Gutenberg Open Science: A novel tool for collaborative and blinded orthopedic image analysis

Please use this identifier to cite or link to this item: http://doi.org/10.25358/openscience-10005

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DC Field	Value	Language
dc.contributor.author	Schippers, Philipp	-
dc.contributor.author	Meurer, Andrea	-
dc.contributor.author	Schnetz, Matthias	-
dc.contributor.author	Ewald, Larissa	-
dc.contributor.author	Ruckes, Christian	-
dc.contributor.author	Hoffmann, Reinhard	-
dc.contributor.author	Gramlich, Yves	-
dc.date.accessioned	2024-02-14T10:13:14Z	-
dc.date.available	2024-02-14T10:13:14Z	-
dc.date.issued	2023	-
dc.identifier.uri	https://openscience.ub.uni-mainz.de/handle/20.500.12030/10023	-
dc.description.abstract	Image analysis plays a central role in orthopedics and research but comes with many challenges, including anonymization, bias, and achieving efficient analyses using multiple independent observers. Appropriate software is still lacking. Tyche is a free online tool that displays images in a random order without showing any metadata. Additionally, when using Tyche, observers can store results in the same window, and the final results are immediately visible to the project manager. In this study, we compared results from Tyche with those from a validated tool. One hundred pelvic radiographs were analyzed separately by five orthopedic surgeons using both Tyche and the validated software. Common orthopedic measurement modalities and scores were determined. The methods were compared using intra-class correlations and Fleiss’ kappa coefficients as well as Bland–Altman plots. Significant correlations ranging from r = 0.17 (Kallgren and Lawrence Score) to r = 0.99 (area measurements) were calculated for inter- and intraobserver agreements between the two tools for all measurements. The Bland–Altman plots indicated the non-inferiority of either tool. The images were analyzed significantly faster when Tyche was used. We conclude that Tyche is a valid tool for use in orthopedic image analysis. Tyche could be utilized for determining inter- and intraobserver agreements, in multicenter studies and for score validations.	en_GB
dc.language.iso	eng	de
dc.rights	CC BY	*
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/	*
dc.subject.ddc	610 Medizin	de_DE
dc.subject.ddc	610 Medical sciences	en_GB
dc.title	A novel tool for collaborative and blinded orthopedic image analysis	en_GB
dc.type	Zeitschriftenaufsatz	de
dc.identifier.doi	http://doi.org/10.25358/openscience-10005	-
jgu.type.contenttype	Scientific article	de
jgu.type.dinitype	article	en_GB
jgu.type.version	Published version	de
jgu.type.resource	Text	de
jgu.organisation.department	FB 04 Medizin	de
jgu.organisation.number	2700	-
jgu.organisation.name	Johannes Gutenberg-Universität Mainz	-
jgu.rights.accessrights	openAccess	-
jgu.journal.title	Life	de
jgu.journal.volume	13	de
jgu.journal.issue	9	de
jgu.pages.alternative	1805	de
jgu.publisher.year	2023	-
jgu.publisher.name	MDPI	de
jgu.publisher.place	Basel	de
jgu.publisher.issn	2075-1729	de
jgu.organisation.place	Mainz	-
jgu.subject.ddccode	610	de
jgu.publisher.doi	10.3390/life13091805	de
jgu.organisation.ror	https://ror.org/023b0x485	-
jgu.subject.dfg	Naturwissenschaften	de
Appears in collections:	DFG-491381577-G

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