Concept
Shoulder impingement syndrome
Related publications (38)
Three-dimensional evaluation of the transverse rotator cuff muscle's resultant force angle in relation to scapulohumeral subluxation and glenoid vault morphology in nonpathological shoulders
Alexandre Terrier, Alain Farron, Patrick Goetti, Matthieu Boubat
Background: Static posterior subluxation of the humeral head (SPSH) results in glenohumeral osteoarthritis. Treatment strategies for SPSH with or without resulting osteoarthritis remain challenging. There is growing interest in evaluating the rotator cuff ...
Mosby-Elsevier2024Glenohumeral joint force prediction with deep learning
Dominique Pioletti, Alexandre Terrier, Patrick Goetti, Philippe Büchler
Deep learning models (DLM) are efficient replacements for computationally intensive optimization techniques. Musculoskeletal models (MSM) typically involve resource-intensive optimization processes for determining joint and muscle forces. Consequently, DLM ...
London2024Association of the Posterior Acromion Extension with Glenoid Retroversion: A CT Study in Normal and Osteoarthritic Shoulders
Alexandre Terrier, Alain Farron, Patrick Goetti, Frédéric Vauclair
Posterior eccentric glenoid wear is associated with higher complication rates after shoulder arthroplasty. The recently reported association between the acromion shape and glenoid retroversion in both normal and osteoarthritic shoulders remains controversi ...
MDPI2022Age- and sex-specific normative values of bone mineral density in the adult glenoid
Dominique Pioletti, Alexandre Terrier, Alain Farron, Patrick Goetti, Frédéric Vauclair, Philippe Büchler
The objective of this study was to determine the normative bone mineral density (BMD) of cortical and trabecular bone regions in the adult glenoid and its dependence on the subject's age and sex. We analyzed computed tomography (CT) scans of 441 shoulders ...
WILEY2022Deep learning for the rapid automatic quantification and characterization of rotator cuff muscle degeneration from shoulder CT datasets
Alexandre Terrier, Alain Farron, Elham Taghizadeh, Philippe Büchler
Objectives This study aimed at developing a convolutional neural network (CNN) able to automatically quantify and characterize the level of degeneration of rotator cuff (RC) muscles from shoulder CT images including muscle atrophy and fatty infiltration. M ...
SPRINGER2020