2021
DOI: 10.1007/s10237-021-01533-6
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Glenohumeral joint reconstruction using statistical shape modeling

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Cited by 11 publications
(6 citation statements)
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“…Our findings are based on a shoulder model of the VHM, with the anatomy and joint loading conditions representative of those of a 50th percentile man (see the Appendix, available online). To assess the generalizability of our findings across the population, we employed a previous statistical shape model of the upper limb 35 and reran simulations with the anatomy of a 5th, 32nd, 50th, 68th, and 95th percentile man (see the Appendix, available online). With the exception of some isolated discrepancies, particularly at the extreme ranges of shoulder anatomy (5th and 95th percentiles), these results showed that our overall trends in glenoid, humeral, and graft contact for the nominal shoulder model were similar to those of different shoulder geometries spanning the population, for instance, in maximum graft contact pressure, maximum glenoid cartilage contact pressure, and maximum humeral cartilage contact pressure with and without graft perturbation.…”
Section: Discussionmentioning
confidence: 99%
“…Our findings are based on a shoulder model of the VHM, with the anatomy and joint loading conditions representative of those of a 50th percentile man (see the Appendix, available online). To assess the generalizability of our findings across the population, we employed a previous statistical shape model of the upper limb 35 and reran simulations with the anatomy of a 5th, 32nd, 50th, 68th, and 95th percentile man (see the Appendix, available online). With the exception of some isolated discrepancies, particularly at the extreme ranges of shoulder anatomy (5th and 95th percentiles), these results showed that our overall trends in glenoid, humeral, and graft contact for the nominal shoulder model were similar to those of different shoulder geometries spanning the population, for instance, in maximum graft contact pressure, maximum glenoid cartilage contact pressure, and maximum humeral cartilage contact pressure with and without graft perturbation.…”
Section: Discussionmentioning
confidence: 99%
“…Moreover, a classification system based on proximal humeral anatomy might impact on the development of implant designs in the future. Recently, statistical 3 D shape modelling has been used to obtain a more precise analysis of different anatomical variations and glenohumeral joint reconstruction [8,9,10,11]. Casier et al found different scapular variants using a statistical 3D shape modelling approach.…”
Section: Discussionmentioning
confidence: 99%
“…Similarly, Huang et al introduced shape prediction models to obtain complete scapular and humeral geometry prediction based on seven or fewer morphometric measurements [10]. Despite the extreme interest in this system, it is currently difficult to use in clinical practice and study protocols due to its difficult reproducibility [9]. We hypothesized that the geometry of the proximal humerus could be a predisposing factor for aseptic loosening of stemmed implants in shoulder arthroplasty.…”
Section: Discussionmentioning
confidence: 99%
“…SSMs have been used to describe shape variation in the bones of the upper extremities. 19 , 20 , 21 , 22 To our knowledge, however, no studies have used SSMs to analyze 3D morphology and the shape variations of the distal humerus. Therefore, the aims of this study were: (i) to develop SSMs of the distal humerus based on Chinese data to systematically explore the major variations in this bone; (ii) to evaluate the 3D morphology of the distal humerus in healthy elbows; and (iii) to further investigate the proper morphology differences among the articular components by measuring differences in the surfaces in each shape variation.…”
Section: Introductionmentioning
confidence: 99%
“…It can systematically describe the statistical variations of the anatomic shape and identify relationships between various anatomic features. SSMs have been used to describe shape variation in the bones of the upper extremities 19–22 . To our knowledge, however, no studies have used SSMs to analyze 3D morphology and the shape variations of the distal humerus.…”
Section: Introductionmentioning
confidence: 99%