Shoulder joint angles in supine and upright imaging of the pre-operative reverse total shoulder arthroplasty patient
Authors/Creators
Description
This code analyzes scapulothoracic and glenohumeral joint angles from subjects pre-operative to reverse total shoulder arthroplasty (rTSA) using anatomic landmark data from supine CT scans and upright seated biplane fluoroscopy/optical motion capture. Anatomical coordinate systems for the torso, scapula, and humerus are defined based on landmark positions, guided by ISB recommendations (https://pubmed.ncbi.nlm.nih.gov/15844264/) but with variances to generate consistent analyses unaffected by posture and limitations of clinical medical imaging. Notably, the sternum is used as the definitive thorax Y-axis as it should be self-consistent between both supine and upright data collections.
The data is formatted in the same manner as prior releases of data from:
- healthy shoulders (https://doi.org/10.5281/zenodo.14889478)
- shoulders after rTSA (https://doi.org/10.5281/zenodo.16537557)
Files
database_and_code.zip
Files
(1.5 MB)
| Name | Size | Download all |
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md5:17e21cc83fc9a8807fb5e5e17fd53f95
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1.3 MB | Preview Download |
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md5:ff8c756c2387da775eb1c49f38e21dce
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256.9 kB | Preview Download |
Additional details
Related works
- References
- Dataset: 10.5281/zenodo.14889478 (DOI)
- Dataset: 10.5281/zenodo.16537557 (DOI)
Funding
- National Institute of Arthritis and Musculoskeletal and Skin Diseases
- Biomechanics of reverse total shoulder arthroplasty R01 AR067196
- National Institute of Arthritis and Musculoskeletal and Skin Diseases
- Biomechanics of reverse total shoulder arthroplasty R56 AR067196
- National Institutes of Health
- From genomics to natural language processing: A protected environment for research computing in the health science S10 OD021644