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dc.contributor.authorZimmer, Joeeng
dc.contributor.authorBridgeman, Jay T.eng
dc.contributor.authorPfeiffer, Ferris M.eng
dc.contributor.authorBrogan, David M.eng
dc.contributor.meetingnameHealth Sciences Research Day (2017 : University of Missouri)eng
dc.date.issued2017eng
dc.descriptionPoster presented at the 2017 Health Sciences Research Day which was organized and sponsored by the University of Missouri School of Medicine Research Council and held on November 9, 2017.eng
dc.description.abstractConclusions: 3D segmentation software is effective in producing 3D distal radius fracture models that can be used for analysis. The study demonstrated a pattern in dorsal ulnar corner fragment shape, though the study population size should be increased to improve the power of the results. The data will improve understanding of the morphology and size of the dorsal ulnar corner fracture fragment, which is critical to understanding the optimal method of operative fixation. This information will also lead to development of more accurate intra-articularfracture models for biomechanical studies.eng
dc.format.extent1 postereng
dc.identifier.urihttps://hdl.handle.net/10355/62159
dc.languageEnglisheng
dc.relation.ispartofcommunityUniversity of Missouri--Columbia. Health Sciences Research Dayeng
dc.rightsOpenAccess.eng
dc.rights.licenseThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License.eng
dc.titleCharacterization of the dorsal ulnar corner in distal radius fractures : implication for surgical decision makingeng
dc.typePostereng


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