The 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. In 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.Aims
Methods
The aim of the study was to develop a quantitative scoring system
to predict whether a large-to-massive rotator cuff tear was arthroscopically
reparable prior to surgery. We conducted a retrospective review of the pre-operative MR imaging
and surgical records of 87 patients (87 shoulders) who underwent
arthroscopic repair of a large-to-massive rotator cuff tear. Patients
were divided into two groups, based on the surgical outcome of the
repair. Of the 87 patients, 53 underwent complete repair (Group
I) and 34 an incomplete repair (Group II). Pre-operative MR images
were reviewed to quantify several variables. Between-group differences
were evaluated and multiple logistic regression analysis was used
to calculate the predictive value of significant variables. The
reparability index (RI) was constructed using the odds ratios of
significant variables and a receiver operating characteristic curve
analysis performed to identify the optimal RI cutoff to differentiate
between the two groups.Aims
Patients and Methods
Aims. The aim of this study was to analyse human
