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

Details

Serval ID
serval:BIB_ED56D536AC44
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Effects of glenoid inclination and acromion index on humeral head translation and glenoid articular cartilage strain.
Journal
Journal of shoulder and elbow surgery
Author(s)
Engelhardt C., Farron A., Becce F., Place N., Pioletti D.P., Terrier A.
ISSN
1532-6500 (Electronic)
ISSN-L
1058-2746
Publication state
Published
Issued date
01/2017
Peer-reviewed
Oui
Volume
26
Number
1
Pages
157-164
Language
english
Notes
Publication types: Journal Article
Publication Status: ppublish
Abstract
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 other hand. The objective of this work was to analyze the correlations and relative importance of these different anatomic parameters.
Using a musculoskeletal shoulder model developed from magnetic resonance imaging scans of 1 healthy volunteer, we varied independently GI from 0° to 15° and AI from 0.5 to 0.8. The corresponding CSA varied from 20.9° to 44.1°. We then evaluated humeral head translation and critical strain volume in the glenoid articular cartilage at 60° of abduction in the scapular plane. These values were correlated with GI, AI, and CSA.
Humeral head translation was positively correlated with GI (R = 0.828, P < .0001), AI (R = 0.539, P < .0001), and CSA (R = 0.964, P < .0001). Glenoid articular cartilage strain was also positively correlated with GI (R = 0.489, P = .0004) but negatively with AI (R = -0.860, P < .0001) and CSA (R = -0.285, P < .0473).
The biomechanical shoulder model is consistent with clinical observations. The prediction strength of CSA is confirmed for humeral head translation and thus presumably for rotator cuff tendon tears, whereas the AI seems more appropriate to evaluate the risk of glenohumeral osteoarthritis caused by excessive articular cartilage strain. As a next step, we should corroborate these theoretical findings with clinical data.

Keywords
Adult, Aged, Aged, 80 and over, Biomechanical Phenomena, Body Weights and Measures, Cartilage, Articular, Female, Humans, Humeral Head, Male, Middle Aged, Osteoarthritis/etiology, Patient-Specific Modeling, Range of Motion, Articular, Reference Values, Rotator Cuff Injuries/etiology, Scapula, Shoulder Joint/physiology, Stress, Mechanical, Young Adult
Pubmed
Create date
01/11/2016 16:27
Last modification date
20/08/2019 17:15
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