ArticleScientific reports2025
A radiological study on the relationship between the novel acromial angle and rotator cuff tears.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Machine learning-based prediction of rotator cuff tears using anatomical parameters: a retrospective cohort study.BMC musculoskeletal disorders · 2026Article
- The Novel Acromial Angle is associated with the severity of full-thickness rotator cuff tear: a retrospective radiographic study.Frontiers in medicine · 2026Article
- Comprehensive analysis of bony scapula morphology and anthropometry in a homogeneous population.BMC medical imaging · 2025Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To investigate the relationship between the novel acromial angle and rotator cuff tears through imaging studies. We retrospectively selected 148 patients who underwent complete imaging examinations including scapular outlet X-rays and shoulder MRIs from January 2023 to September 2024 at our hospital. Based on whether the subjects had rotator cuff tears, they were divided into an injury group and a normal group, and the differences in the novel acromial angle between the two groups were compared. The novel acromial angle in the normal group was (149.1 ± 5.957)°, while in the injury group, it was (142.3 ± 6.558)°, showing a statistically significant difference between the two groups (P < 0.001). The probability of rotator cuff injury was 79.07% for individuals with a novel acromial angle smaller than the average in the injury group. The novel acromial angle in the injury group was generally smaller than that in the normal group. A novel acromial angle smaller than the average was associated with a higher probability of rotator cuff injury, and smaller angles were more likely to lead to more severe rotator cuff tears. Therefore, the novel acromial angle may serve as a simple and objective method to predict the probability of rotator cuff tears.
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