Radiomic analysis of the deltoid and scapula: identification of computed tomography-image based measurements predictive of pain, motion, and function before and after shoulder arthroplasty
This analysis of >4,000 preoperative CT scans identified numerous radiomic features of the deltoid and scapula that were highly predictive of pain, motion, and function before and after aTSA/rTSA. These most predictive radiomic features were aggregated into unique morphological clusters of deltoids and scapula that were associated with differences in clinical outcomes before and after aTSA/rTSA. Shape-based radiomic features were more predictive than first-order and second-order radiomic features, suggesting that these more interpretable measurements are more clinically relevant and could be more readily incorporated into future radiomic-based clinical decision support tools. Future work is required to further validate these radiomic findings and refine the proposed clustering analysis.
Authors
- Bruno Gobbato (ORCID: https://orcid.org/0000-0002-7779-0659)
- Bradley S. Schoch (ORCID: https://orcid.org/0000-0002-9355-5069)
- William R. Aibinder (ORCID: https://orcid.org/0000-0001-7620-426X)
- Christopher Roche (ORCID: https://orcid.org/0000-0003-3801-3272)
- Daniel E. Wessell (ORCID: https://orcid.org/0000-0003-2622-9340)
- Josie Elwell (ORCID: https://orcid.org/0000-0002-9073-1776)
- Hamidreza Rajabzadeh-Oghaz (ORCID: https://orcid.org/0000-0002-9138-9239)
- Vikas Kumar (ORCID: https://orcid.org/0000-0003-3725-4859)
Institutions
- University of Michigan (US)
- Jacksonville College (US)
- Centro Universitário de Jaraguá do Sul (BR)
- Exactech (United States) (US)
- Mayo Clinic in Florida (US)
Publication Details
- Journal
- JSES International
- Published
- 2025-07-05
- DOI
- https://doi.org/10.1016/j.jseint.2025.06.014
- Citations
- 2
- Primary Topic
- Advanced X-ray and CT Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.35