Literature DB >> 24369959

Comparative evaluation of scapular and humeral coordinate systems based on biomedical images of the glenohumeral joint.

Manuela Calderone1, Andrea Cereatti2, Maurizio Conti3, Ugo Della Croce1.   

Abstract

Bio-imaging techniques represent a powerful tool for shoulder joint biomechanical analysis. However, the restricted field of view may prevent the acquisition of complete scapula and humerus bone models and hence limiting the applicability of standardized anatomical coordinate system (ACS) definitions. The aim of this study was to propose ACS definitions for both scapula and humerus which can be implemented when limited portions of the relevant bones are available. Magnetic resonance (MR) images of twenty right humeri and scapulae were acquired. The proposed ACSs were assessed in terms of (1) sensitivity to bone morphological variation, (2) intra - and inter - operator repeatability and (3) consistency with the anatomical cardinal directions. A comparison with alternative ACS definitions was also performed. Overall, our ACS scapular proposal and that presented in Kedgley and Dunning (2010) were found to be the least sensitive to the morphometric variability (mean angular absolute deviation lower than 8.3deg) and they were characterized by a high intra - and inter - operator repeatability (mean angular absolute deviation lower than 1.5deg). The humeral ACS proposal showed a morphometric variability similar to Amadi et al. (2009b) (mean angular absolute deviation lower than 8.3deg) but a higher reproducibility. The scapular and humeral ACS mean angular deviation from the reference anatomical cardinal directions were smaller than 15deg and 8.6deg, respectively. The proposed scapular and humeral ACS definitions are therefore suitable to be applied when a limited portion of the glenohumeral joint is available as it may occur in standard shoulder clinical exams.
© 2013 Published by Elsevier Ltd.

Keywords:  Anatomical coordinate system; Glenohumeral joint; Humerus; Magnetic resonance; Scapula

Mesh:

Year:  2013        PMID: 24369959     DOI: 10.1016/j.jbiomech.2013.10.045

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  3 in total

1.  Proximal humeral coordinate systems can predict humerothoracic and glenohumeral kinematics of a full bone system.

Authors:  Hema J Sulkar; Jared L Zitnay; Klevis Aliaj; Heath B Henninger
Journal:  Gait Posture       Date:  2021-09-20       Impact factor: 2.746

2.  In vivo estimation of the shoulder joint center of rotation using magneto-inertial sensors: MRI-based accuracy and repeatability assessment.

Authors:  M Crabolu; D Pani; L Raffo; M Conti; P Crivelli; A Cereatti
Journal:  Biomed Eng Online       Date:  2017-03-21       Impact factor: 2.819

3.  Functional estimation of bony segment lengths using magneto-inertial sensing: Application to the humerus.

Authors:  Michele Crabolu; Danilo Pani; Luigi Raffo; Maurizio Conti; Andrea Cereatti
Journal:  PLoS One       Date:  2018-09-12       Impact factor: 3.240

  3 in total

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