Literature DB >> 32758918

Reliable interpretation of scapular kinematics depends on coordinate system definition.

Christopher W Kolz1, Hema J Sulkar1, Klevis Aliaj1, Robert Z Tashjian2, Peter N Chalmers2, Yuqing Qiu3, Yue Zhang3, K Bo Foreman4, Andrew E Anderson5, Heath B Henninger6.   

Abstract

BACKGROUND: Interpretation of shoulder motion across studies has been complicated due to the use of numerous scapular coordinate systems in the literature. Currently, there are no simple means by which to compare scapular kinematics between coordinate system definitions when data from only one coordinate system is known. RESEARCH QUESTION: How do scapular kinematics vary based on the choice of coordinate system and can average rotation matrices be used to accurately convert kinematics between scapular local coordinate systems?
METHODS: Average rotation matrices derived from anatomic landmarks of 51 cadaver scapulae (29 M/22 F; 59 ± 13 yrs; 26R/25 L; 171 ± 11 cm; 70 ± 19 kg; 23.7 ± 5.5 kg/m2) were generated between three common scapular coordinate systems. Absolute angle of rotation was used to determine if anatomical variability within the cadaver population influenced the matrices. To quantify the predictive capability to convert kinematics between the three coordinate systems, the average rotation matrices were applied to scapulothoracic motion data collected from 19 human subjects (10 M/9 F; 43 ± 17 yrs; 19R; 173 ± 9 cm; 71 ± 16 kg; 23.6 ± 4.5 kg/m2) using biplane fluoroscopy. Root mean squared error (RMSE) was used to compare kinematics from an original coordinate system to the kinematics expressed in each alternative coordinate system.
RESULTS: The choice of scapular coordinate system resulted in mean differences in scapulothoracic rotation of up to 23°, with overall different shapes and/or magnitudes of the curves. A single average rotation matrix between any two coordinate systems achieved accurate conversion of scapulothoracic kinematics to within 4° of RMSE of the known solution. The average rotation matrices were independent of sex, side, decomposition sequence, and motion. SIGNIFICANCE: Scapulothoracic kinematic representations vary in shape and magnitude based solely on the choice of local coordinate system. The results of this study enhance interpretability and reproducibility in expressing scapulothoracic motion data between laboratories by providing a simple means to convert data between common coordinate systems. This is necessitated by the variety of available motion analysis techniques and their respective scapular landmark definitions.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Coordinate system; Joint angles; Scapula; Shoulder; Transformations

Mesh:

Year:  2020        PMID: 32758918      PMCID: PMC7484087          DOI: 10.1016/j.gaitpost.2020.07.020

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  6 in total

1.  In Vitro Simulation of Shoulder Motion Driven by Three-Dimensional Scapular and Humeral Kinematics.

Authors:  Hema J Sulkar; Tyler W Knighton; Linda Amoafo; Klevis Aliaj; Christopher W Kolz; Yue Zhang; Tucker Hermans; Heath B Henninger
Journal:  J Biomech Eng       Date:  2022-05-01       Impact factor: 2.097

2.  Kinematic coupling of the glenohumeral and scapulothoracic joints generates humeral axial rotation.

Authors:  Klevis Aliaj; Rebekah L Lawrence; K Bo Foreman; Peter N Chalmers; Heath B Henninger
Journal:  J Biomech       Date:  2022-03-24       Impact factor: 2.789

3.  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

4.  Beyond Euler/Cardan analysis: True glenohumeral axial rotation during arm elevation and rotation.

Authors:  Klevis Aliaj; K Bo Foreman; Peter N Chalmers; Heath B Henninger
Journal:  Gait Posture       Date:  2021-05-08       Impact factor: 2.746

5.  Age-related differences in humerothoracic, scapulothoracic, and glenohumeral kinematics during elevation and rotation motions.

Authors:  Christopher W Kolz; Hema J Sulkar; Klevis Aliaj; Robert Z Tashjian; Peter N Chalmers; Yuqing Qiu; Yue Zhang; K Bo Foreman; Andrew E Anderson; Heath B Henninger
Journal:  J Biomech       Date:  2021-01-23       Impact factor: 2.712

6.  In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy.

Authors:  Penny R Atkins; Niccolo M Fiorentino; Andrew E Anderson
Journal:  J Vis Exp       Date:  2021-07-02       Impact factor: 1.424

  6 in total

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