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Shoulder strengthening exercises adapted to specific shoulder pathologies can be selected using new simulation techniques: a pilot study

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International Journal of Computer Assisted Radiology and Surgery Aims and scope Submit manuscript

Abstract

Purpose

Shoulder strength training exercises represent a major component of rehabilitation protocols designed for conservative or postsurgical management of shoulder pathologies. Numerous methods are described for exercising each shoulder muscle or muscle group. Limited information is available to assess potential deleterious effects of individual methods with respect to specific shoulder pathologies. Thus, the goal of this pilot study was to use a patient-specific 3D measurement technique coupling medical imaging and optical motion capture for evaluation of a set of shoulder strength training exercises regarding glenohumeral, labral and subacromial compression, as well as elongation of the rotator cuff muscles.

Methods

One volunteer underwent magnetic resonance imaging (MRI) and motion capture of the shoulder. Motion data from the volunteer were recorded during three passive rehabilitation exercises and twenty-nine strengthening exercises targeting eleven of the most frequently trained shoulder muscles or muscle groups and using four different techniques when available. For each exercise, glenohumeral and labral compression, subacromial space height and rotator cuff muscles elongation were measured on the entire range of motion.

Results

Significant differences in glenohumeral, subacromial and labral compressions were observed between sets of exercises targeting individual shoulder muscles. Muscle lengths computed by simulation compared to MRI measurements showed differences of 0–5%.

Conclusions

This study represents the first screening of shoulder strengthening exercises to identify potential deleterious effects on the shoulder joint. Motion capture combined with medical imaging allows for reliable assessment of glenohumeral, labral and subacromial compression, as well as muscle-tendon elongation during shoulder strength training exercises.

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Notes

  1. Indeed, the tested subject participated in two different studies. The first MRI done for 3D reconstruction was part of a previous study [7]. We reused the MRI data and 3D reconstructed models from this previous study, but we had to perform this second MRI to validate the muscle simulation, since these data were not acquired previously.

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Acknowledgements

We would like to thank Alain Denis Keller, Emilie Paulin, Suzanne Gard, Corinne Bernimoulin-Schmid and Jean-Luc Ziltener for their participation in this study.

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Authors and Affiliations

  1. Medical Research Department, Artanim Foundation, 40, chemin du Grand-Puits, 1217, Meyrin, Switzerland

    Caecilia Charbonnier, Bart Kevelham & Sylvain Chagué

  2. Division of Orthopedics and Trauma Surgery, La Tour Hospital, Meyrin, Switzerland

    Alexandre Lädermann

  3. Faculty of Medicine, University of Geneva, Geneva, Switzerland

    Alexandre Lädermann

  4. Orthopedics and Trauma Service, University Hospitals of Geneva, Geneva, Switzerland

    Alexandre Lädermann, Pierre Hoffmeyer & Nicolas Holzer

Authors
  1. Caecilia Charbonnier
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  2. Alexandre Lädermann
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  3. Bart Kevelham
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  4. Sylvain Chagué
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  5. Pierre Hoffmeyer
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  6. Nicolas Holzer
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Corresponding author

Correspondence to Caecilia Charbonnier.

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The authors declare that they have no conflict of interest.

Research involving humans

Institutional ethical approval (AMG 12–18) was obtained prior to data collection. All procedures performed in the study were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Declaration of Helsinki and its later amendments or comparable ethical standards. Informed consent was obtained from the individual participant included in the study.

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Charbonnier, C., Lädermann, A., Kevelham, B. et al. Shoulder strengthening exercises adapted to specific shoulder pathologies can be selected using new simulation techniques: a pilot study. Int J CARS 13, 321–330 (2018). https://doi.org/10.1007/s11548-017-1668-4

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  • DOI: https://doi.org/10.1007/s11548-017-1668-4

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