Literature DB >> 30609957

Why off-the-shelf clavicle plates rarely fit: anatomic analysis of the clavicle through statistical shape modeling.

Sanne Vancleef1, Michiel Herteleer2, Yannick Carette3, Paul Herijgers4, Joost R Duflou3, Stefaan Nijs5, Jos Vander Sloten6.   

Abstract

BACKGROUND: The clavicle presents a large variability in its characterizing sigmoid shape. Prominent and nonproperly fitting fixation plates (FP) cause soft tissue irritation and lead to hardware removal. It is therefore key in FP design to account for shape variations. Statistical shape models (SSMs) have been built to analyze a cluster of complex shapes. The goal of this study was to describe the anatomic variation of the clavicle using SSMs.
METHODS: Two different SSMs of the clavicle were created, and their modes of variation were described. One model contained 120 left male and female clavicles. The other model consisted of 76 left and corresponding right clavicles, 41 originating from men and 35 from women.
RESULTS: The model of 120 left clavicles showed that 10 modes of variation are necessary to explain 95% of the variation. The most important modes of variation are the clavicle length, inferior-superior bow, and medial and lateral curvature. Statistically significant differences between male and female clavicles were seen in length, sigmoid shape, and medial curvature. Comparison in men between left and right revealed significant differences in length and medial curvature. For women, a statistically significant difference between left and right was only seen in the length.
CONCLUSIONS: Although the operative treatment of displaced midshaft clavicular fractures has clear benefits, the variable anatomy of the clavicle often makes it challenging for the surgeon to make the plate fit adequately. Based on the identified variability in the clavicle's anatomy, it seems unlikely that a clavicle plating system can fit the entire population.
Copyright © 2018 Journal of Shoulder and Elbow Surgery Board of Trustees. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Clavicle anatomy; anatomic parameters; clavicular fractures; fixation plate design; principal component analysis; statistical shape modeling

Mesh:

Year:  2019        PMID: 30609957     DOI: 10.1016/j.jse.2018.09.018

Source DB:  PubMed          Journal:  J Shoulder Elbow Surg        ISSN: 1058-2746            Impact factor:   3.019


  7 in total

1.  Treatment of a Recalcitrant Non-union of the Clavicle.

Authors:  Simran Grewal; Thomas Pa Baltes; Esther Wiegerinck; Peter Kloen
Journal:  Strategies Trauma Limb Reconstr       Date:  2022 Jan-Apr

2.  Computer tomographic analysis of anatomic characteristics of the ulna - essential parameters for preshaped implants.

Authors:  Johannes Christof Hopf; Andreas Jähnig; Tobias Jorg; Ruben Sebastian Westphal; Daniel Wagner; Pol Maria Rommens
Journal:  PLoS One       Date:  2020-05-21       Impact factor: 3.240

3.  Anatomical Variation of the Tibia - a Principal Component Analysis.

Authors:  Liselore Quintens; Michiel Herteleer; Sanne Vancleef; Yannick Carette; Joost Duflou; Stefaan Nijs; Jos Vander Sloten; Harm Hoekstra
Journal:  Sci Rep       Date:  2019-05-21       Impact factor: 4.379

4.  Variation of the clavicle's muscle insertion footprints - a cadaveric study.

Authors:  M Herteleer; S Vancleef; P Herijgers; J Duflou; I Jonkers; J Vander Sloten; S Nijs
Journal:  Sci Rep       Date:  2019-11-08       Impact factor: 4.379

5.  Can 3D-printing avoid discomfort-related implant removal in midshaft clavicle fractures? A four-year follow-up.

Authors:  Rob F M van Doremalen; Rens A van der Linde; Jan J Kootstra; Sven H van Helden; Edsko E G Hekman
Journal:  Arch Orthop Trauma Surg       Date:  2020-10-31       Impact factor: 3.067

6.  Distal Humerus Morphological Analysis of Chinese Individuals: A Statistical Shape Modeling Approach.

Authors:  Wei Zhao; Yao Guo; Chuangye Xu; Guoxian Pei; Shiva Basnet; Yanjun Pei; Xiuyun Su
Journal:  Orthop Surg       Date:  2022-09-14       Impact factor: 2.279

7.  The variance of clavicular surface morphology is predictable: an analysis of dependent and independent metadata variables.

Authors:  Arabella D Fontana; Harry A Hoyen; Michael Blauth; André Galm; Marcel Schweizer; Christoph Raas; Martin Jaeger; Chunyan Jiang; Stefaan Nijs; Simon Lambert
Journal:  JSES Int       Date:  2020-06-19
  7 in total

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