Related Experiment Video
Updated: Sep 3, 2025

06:09
Measuring 3D In-vivo Shoulder Kinematics using Biplanar Videoradiography
Published on: March 12, 2021
3.2K
Comparison of Shoulder Motion Measurements by Visual Estimate, Goniometer and Motion Capture
Stephanie A Russo1, Ross S Chafetz2, Luisa M Rodriguez3
1Department of Orthopedic Surgery, Akron Children's Hospital, Akron, OH.
Journal of Pediatric Orthopedics
|July 25, 2022
Summary
Motion capture is more accurate for measuring shoulder range of motion in children with brachial plexus birth injuries (BPBI). Physician visual estimates often misclassify external rotation Mallet scores, highlighting the need for improved assessment methods.
Area of Science:
- Orthopedics
- Pediatric Rehabilitation
- Biomechanics
Background:
- Brachial plexus birth injuries (BPBI) can cause long-term impairments in shoulder external rotation and cross-body adduction.
- These impairments significantly affect daily functional activities like dressing and grooming.
Purpose of the Study:
- To compare the accuracy of three methods for quantifying shoulder humerothoracic (HT) external rotation (ER) and glenohumeral (GH) cross-body adduction (CBA) in children with BPBI.
- Methods compared include physician visual estimation, goniometer measurement by an occupational therapist, and motion capture technology.
Main Methods:
- Twenty-six pediatric patients with BPBI underwent assessment.
- Measurements included passive HT ER and GH CBA via visual estimate and goniometer, alongside simultaneous motion capture.
- Active HT ER was also measured using motion capture.
Main Results:
- GH CBA measures showed good agreement but substantial variation between methods.
- HT ER measures exhibited significant differences and poor agreement across all methods.
- Motion capture data revealed that physicians misclassified 79% of external rotation Mallet scores, consistently overestimating the range.
Conclusions:
- Significant variability exists in shoulder range of motion measurements for BPBI patients across different assessment techniques.
- Motion capture offers superior accuracy by minimizing compensatory movements, making it ideal for clinical assessment.
- When motion capture is unavailable, goniometry is preferred over visual estimates for more reliable clinical measures.

