ArticleBone & joint open2021
CT-based volumetric assessment of rotator cuff muscle in shoulder arthroplasty preoperative planning.
Article in Bone & joint open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07520721 (A Randomised, Multicentre, Prospective, Non-inferiority Clinical Study Analysing Outcomes of a Cemented Pegged Polyethylene Glenoid Component Versus a Hybrid Polyethylene and Trabecular Titanium Glenoid Component in Patients With Osteoarthritis Treated With an Anatomical SMR Stemless Shoulder Arthroplasty), which is not on this map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
A Randomised, Multicentre, Prospective, Non-inferiority Clinical Study Analysing Outcomes of a Cemented Pegged Polyethylene Glenoid Component Versus a Hybrid Polyethylene and Trabecular Titanium Glenoid Component in Patients With Osteoarthritis Treated With an Anatomical SMR Stemless Shoulder Arthroplasty
Who cites it
15 citing papers in PubMed, 25 citations in OpenAlex.
- Artificial intelligence-based quantitative computed tomography assessment of shoulder muscle and its association with outcomes after reverse total shoulder arthroplasty.JSES international · 2026Article
- Refining Reverse Shoulder Arthroplasty: From Implant Design to Patient-Specific Strategy.Journal of clinical medicine · 2026Article
- Skeletal muscle volume by 3D imaging and long-term survival in esophageal squamous cell carcinoma with neoadjuvant chemotherapy.General thoracic and cardiovascular surgery · 2026Article
- Automated 3D segmentation of rotator cuff muscle and fat from longitudinal CT for shoulder arthroplasty evaluation.Skeletal radiology · 2026Article
- Effect of Tear Classification on Subscapularis Muscle Volume: A Deep Learning-based Semi-automatic Analysis of Pre- and Postoperative Changes in 246 Rotator Cuff Repair Patients With and Without First Facet Subscapularis Tears.Orthopaedic journal of sports medicine · 2025Article
- Analysis of osseous shoulder morphology and muscle volume in concentric and eccentric osteoarthritis of the shoulder.JSES international · 2025Article
- The present and future of preoperative planning.JSES international · 2025Article
- Article
- Emerging Innovations in Preoperative Planning and Motion Analysis in Orthopedic Surgery.Diagnostics (Basel, Switzerland) · 2024Review
- Pectoralis major tendon transfer in reverse total shoulder arthroplasty with irreparable subscapularis: surgical technique and preliminary clinical and radiological results.JSES international · 2024Article
- Automatic MRI-based rotator cuff muscle segmentation using U-Nets.Skeletal radiology · 2024Article
- [Pathologies of the shoulder joint : Anatomy and examination techniques].Radiologie (Heidelberg, Germany) · 2024Review
- Individuals with rotator cuff tears unsuccessfully treated with exercise therapy have less inferiorly oriented net muscle forces during scapular plane abduction.Journal of biomechanics · 2024Article
- Objective analysis of partial three-dimensional rotator cuff muscle volume and fat infiltration across ages and sex from clinical MRI scans.Scientific reports · 2023Article
- The Evolution of Reverse Total Shoulder Arthroplasty-Where Do We Stand and What Comes Next?Journal of clinical medicine · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 7 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimsThe aim of this study was to describe a quantitative 3D CT method to measure rotator cuff muscle volume, atrophy, and balance in healthy controls and in three pathological shoulder cohorts.
methodsIn all, 102 CT scans were included in the analysis: 46 healthy, 21 cuff tear arthropathy (CTA), 18 irreparable rotator cuff tear (IRCT), and 17 primary osteoarthritis (OA). The four rotator cuff muscles were manually segmented and their volume, including intramuscular fat, was calculated. The normalized volume (NV) of each muscle was calculated by dividing muscle volume to the patient's scapular bone volume. Muscle volume and percentage of muscle atrophy were compared between muscles and between cohorts.
resultsRotator cuff muscle volume was significantly decreased in patients with OA, CTA, and IRCT compared to healthy patients (p < 0.0001). Atrophy was comparable for all muscles between CTA, IRCT, and OA patients, except for the supraspinatus, which was significantly more atrophied in CTA and IRCT (p = 0.002). In healthy shoulders, the anterior cuff represented 45% of the entire cuff, while the posterior cuff represented 40%. A similar partition between anterior and posterior cuff was also found in both CTA and IRCT patients. However, in OA patients, the relative volume of the anterior (42%) and posterior cuff (45%) were similar.
conclusionThis study shows that rotator cuff muscle volume is significantly decreased in patients with OA, CTA, or IRCT compared to healthy patients, but that only minimal differences can be observed between the different pathological groups. This suggests that the influence of rotator cuff muscle volume and atrophy (including intramuscular fat) as an independent factor of outcome may be overestimated. Cite this article:
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.