Validation of a mathematical approach to estimate dynamic scapular orientation. (21st March 2017)

• Record Type: Journal Article
• Authors: Nicholson, Kristen F.; Richardson, R. Tyler; Rapp, Elizabeth A.; Quinton, R. Garry; Anzilotti, Kert F.; Richards, James G.
• Is Part Of: Journal of biomechanics. Volume 54(2017)
• Page Start: 101
• Page End: 105
• Publication Date: 2017-03-21
• Subjects: Scapulothoracic -- Dynamic -- Shoulder -- Linear models -- Validation; Animal mechanics -- Periodicals; Biomechanics -- Periodicals; Biomechanics -- Periodicals; Mécanique animale -- Périodiques; Biomécanique -- Périodiques; Electronic journals; 571.4305
• DOI: 10.1016/j.jbiomech.2017.01.025
• Languages: English
• ISSNs: 0021-9290

Abstract

Abstract: The goal of this study was to develop and validate a non-invasive approach to estimate scapular kinematics in individual patients. We hypothesized that individualized mathematical algorithms can be developed using motion capture data to accurately estimate dynamic scapula orientation based on measured humeral orientations and acromion process positions. The accuracy of the mathematical algorithms was evaluated against a gold standard of biplane fluoroscopy using a 2D to 3D fluoroscopy/model matching process. Individualized linear models were developed for nine healthy adult shoulders. These models were used to predict scapulothoracic kinematics, and the predicted kinematics were compared to kinematics obtained using biplane fluoroscopy to determine the accuracy of the algorithms. Results showed strong correlations between mathematically predicted kinematics and validation kinematics. Estimated kinematics were within 8° of validation kinematics. We concluded that individualized linear models show promise for providing accurate, non-invasive measurements of scapulothoracic kinematics in a clinical environment.