Publications associées à Shoulder impingement syndrome

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-Elsevier2024

Glenohumeral 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 ...

London2024

Association 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 ...

MDPI2022

Age- 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 ...

WILEY2022

Deep 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

Feasibility of an alternative method to estimate glenohumeral joint center from videogrammetry measurements and CT/MRI of patients

Dominique Pioletti, Alexandre Terrier, Alain Farron, Philippe Müllhaupt, Ehsan Sarshari, Matteo Mancuso

Videogrammetry is commonly used to record upper limb motions. However, it cannot track the glenohumeral joint center (GH). GH is required to reconstruct upper limb motions. Therefore, it is often estimated by separately measuring scapular motions using sca ...

TAYLOR & FRANCIS LTD2020

A statistical shape model to predict the premorbid glenoid cavity

Alexandre Terrier, Alain Farron, Steve Michel Berger, Daniel Abler, Philippe Büchler

Background: This study proposes a method for inferring the premorbid glenoid shape and orientation of scapulae affected by glenohumeral osteoarthritis (OA) to inform restorative surgery. Methods: A statistical shape model (SSM) built from 64 healthy scapul ...

MOSBY-ELSEVIER2018

Effects of glenoid inclination and acromion index on humeral head translation and glenoid articular cartilage strain

Dominique Pioletti, Alexandre Terrier, Alain Farron, Christoph Anselm Engelhardt

Previous clinical studies have reported associations between glenoid inclination (GI), the acromion index (AI), and the critical shoulder angle (CSA) on the one hand and the occurrence of glenohumeral osteoarthritis and supraspinatus tendon tears on the ot ...

Elsevier2017

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Shoulder impingement syndrome

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

Glenohumeral joint force prediction with deep learning

Association of the Posterior Acromion Extension with Glenoid Retroversion: A CT Study in Normal and Osteoarthritic Shoulders

Age- and sex-specific normative values of bone mineral density in the adult glenoid

Deep learning for the rapid automatic quantification and characterization of rotator cuff muscle degeneration from shoulder CT datasets

Feasibility of an alternative method to estimate glenohumeral joint center from videogrammetry measurements and CT/MRI of patients

Simplifying Exosuits: Kinematic Couplings in the Upper Extremity during Daily Living Tasks

A statistical shape model to predict the premorbid glenoid cavity

Create a Finite Element model of experiment involving cadaveric scapulae

Effects of glenoid inclination and acromion index on humeral head translation and glenoid articular cartilage strain

Graph Chatbot

Chattez avec Graph Search

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

Simplifying Exosuits: Kinematic Couplings in the Upper Extremity during Daily Living Tasks

Glenohumeral joint force prediction with deep learning

Age- and sex-specific normative values of bone mineral density in the adult glenoid

Deep learning for the rapid automatic quantification and characterization of rotator cuff muscle degeneration from shoulder CT datasets

Feasibility of an alternative method to estimate glenohumeral joint center from videogrammetry measurements and CT/MRI of patients

Association of the Posterior Acromion Extension with Glenoid Retroversion: A CT Study in Normal and Osteoarthritic Shoulders

A statistical shape model to predict the premorbid glenoid cavity

Create a Finite Element model of experiment involving cadaveric scapulae

Effects of glenoid inclination and acromion index on humeral head translation and glenoid articular cartilage strain