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Computer tomographic analysis of anatomic characteristics of the ulna – essential parameters for preshaped implants

PURPOSE: Anatomically preshaped implants are needed for exact restoration of the anatomy after fractures of the proximal ulna and ulnar shaft, which enables a good functional outcome. Aim of this computed tomographic analysis was to identify specific characteristics of the ulna. The data serve for t...

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Autores principales: Hopf, Johannes Christof, Jähnig, Andreas, Jorg, Tobias, Westphal, Ruben Sebastian, Wagner, Daniel, Rommens, Pol Maria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7241821/
https://www.ncbi.nlm.nih.gov/pubmed/32437353
http://dx.doi.org/10.1371/journal.pone.0232988
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author Hopf, Johannes Christof
Jähnig, Andreas
Jorg, Tobias
Westphal, Ruben Sebastian
Wagner, Daniel
Rommens, Pol Maria
author_facet Hopf, Johannes Christof
Jähnig, Andreas
Jorg, Tobias
Westphal, Ruben Sebastian
Wagner, Daniel
Rommens, Pol Maria
author_sort Hopf, Johannes Christof
collection PubMed
description PURPOSE: Anatomically preshaped implants are needed for exact restoration of the anatomy after fractures of the proximal ulna and ulnar shaft, which enables a good functional outcome. Aim of this computed tomographic analysis was to identify specific characteristics of the ulna. The data serve for the development of a new intramedullary implant for stabilisation of proximal and diaphyseal ulna fractures. METHODS: With a standardized research method 100 CT scans of the ulna were evaluated regarding anatomic parameters like width of the medullary canal, proximal ulna dorsal angulation and varus angulation. Also, correlations of these parameters were analyzed statistically. RESULTS: The mean proximal ulna dorsal angulation (PUDA) was 6.4° (SD 2.8°), while the mean varus angulation of the proximal ulna was 12.4° (SD 3.3°). The length of the ulna bone was 253.6 mm (SD 19.9 mm) on average. The average minimum diameter of the medullary canal was 4.2 mm (SD 1.1 mm) located at 141.3 mm (SD 19.7 mm) from the olecranon tip. There is a positive correlation between age and minimum diameter in our patient cohort (p< 0.001). CONCLUSION: Our study described the anatomy of the proximal ulna and the ulna shaft with a reproducible research method in a representative patient cohort. The knowledge of the evaluated anatomic parameters can lead to an improvement of any implant design for the fixation of proximal and diaphyseal ulna fractures.
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spelling pubmed-72418212020-06-03 Computer tomographic analysis of anatomic characteristics of the ulna – essential parameters for preshaped implants Hopf, Johannes Christof Jähnig, Andreas Jorg, Tobias Westphal, Ruben Sebastian Wagner, Daniel Rommens, Pol Maria PLoS One Research Article PURPOSE: Anatomically preshaped implants are needed for exact restoration of the anatomy after fractures of the proximal ulna and ulnar shaft, which enables a good functional outcome. Aim of this computed tomographic analysis was to identify specific characteristics of the ulna. The data serve for the development of a new intramedullary implant for stabilisation of proximal and diaphyseal ulna fractures. METHODS: With a standardized research method 100 CT scans of the ulna were evaluated regarding anatomic parameters like width of the medullary canal, proximal ulna dorsal angulation and varus angulation. Also, correlations of these parameters were analyzed statistically. RESULTS: The mean proximal ulna dorsal angulation (PUDA) was 6.4° (SD 2.8°), while the mean varus angulation of the proximal ulna was 12.4° (SD 3.3°). The length of the ulna bone was 253.6 mm (SD 19.9 mm) on average. The average minimum diameter of the medullary canal was 4.2 mm (SD 1.1 mm) located at 141.3 mm (SD 19.7 mm) from the olecranon tip. There is a positive correlation between age and minimum diameter in our patient cohort (p< 0.001). CONCLUSION: Our study described the anatomy of the proximal ulna and the ulna shaft with a reproducible research method in a representative patient cohort. The knowledge of the evaluated anatomic parameters can lead to an improvement of any implant design for the fixation of proximal and diaphyseal ulna fractures. Public Library of Science 2020-05-21 /pmc/articles/PMC7241821/ /pubmed/32437353 http://dx.doi.org/10.1371/journal.pone.0232988 Text en © 2020 Hopf et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Hopf, Johannes Christof
Jähnig, Andreas
Jorg, Tobias
Westphal, Ruben Sebastian
Wagner, Daniel
Rommens, Pol Maria
Computer tomographic analysis of anatomic characteristics of the ulna – essential parameters for preshaped implants
title Computer tomographic analysis of anatomic characteristics of the ulna – essential parameters for preshaped implants
title_full Computer tomographic analysis of anatomic characteristics of the ulna – essential parameters for preshaped implants
title_fullStr Computer tomographic analysis of anatomic characteristics of the ulna – essential parameters for preshaped implants
title_full_unstemmed Computer tomographic analysis of anatomic characteristics of the ulna – essential parameters for preshaped implants
title_short Computer tomographic analysis of anatomic characteristics of the ulna – essential parameters for preshaped implants
title_sort computer tomographic analysis of anatomic characteristics of the ulna – essential parameters for preshaped implants
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7241821/
https://www.ncbi.nlm.nih.gov/pubmed/32437353
http://dx.doi.org/10.1371/journal.pone.0232988
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