dc.contributor.author | Zimmer, Joe | eng |
dc.contributor.author | Bridgeman, Jay T. | eng |
dc.contributor.author | Pfeiffer, Ferris M. | eng |
dc.contributor.author | Brogan, David M. | eng |
dc.contributor.meetingname | Health Sciences Research Day (2017 : University of Missouri) | eng |
dc.date.issued | 2017 | eng |
dc.description | Poster 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.abstract | Conclusions: 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.extent | 1 poster | eng |
dc.identifier.uri | https://hdl.handle.net/10355/62159 | |
dc.language | English | eng |
dc.relation.ispartofcommunity | University of Missouri--Columbia. Health Sciences Research Day | eng |
dc.rights | OpenAccess. | eng |
dc.rights.license | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License. | eng |
dc.title | Characterization of the dorsal ulnar corner in distal radius fractures : implication for surgical decision making | eng |
dc.type | Poster | eng |