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.

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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
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article

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

Bruno Gobbato, Bradley S. Schoch, William R. Aibinder, Christopher Roche et al.
2 citations
JSES International
Advanced X-ray and CT Imaging
1.35
article

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

Bruno Gobbato, Bradley S. Schoch, William R. Aibinder, Christopher Roche, Daniel E. Wessell, Josie Elwell, Hamidreza Rajabzadeh-Oghaz, Vikas Kumar
article en
2 citations

Abstract

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.

JSES InternationalVol. 9(6)
University of Michigan (US), Jacksonville College (US), Centro Universitário de Jaraguá do Sul (BR), Exactech (United States) (US), Mayo Clinic in Florida (US)
Openalex Percentile: Top 19%
Advanced X-ray and CT Imaging
1.35
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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 — Bruno Gobbato, Bradley S. Schoch, et al. · JSES International (2025) | TGRS Research Map | TGRS