2022
DOI: 10.1002/jor.25460
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Musculoskeletal simulation of elbow stability for common injury patterns

Abstract: Elbow stability is derived from a combination of muscular, ligamentous, and bony structures. After an elbow trauma the stability of the joint is an important decision criterion for the subsequent treatment. The decision regarding nonoperative/operative care depends mostly on subjective assessments of medical experts. Therefore, the aim of this study is to use musculoskeletal simulations as an objective assessment tool to investigate the extent to which failure of different stabilizers affects the elbow stabili… Show more

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Cited by 2 publications
(1 citation statement)
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“…Given these experimental results, it has become accepted practice to predict isometric muscles properties when direct measurements cannot or have not been made. In humans, skeletal muscle architectural principles have been generalized to explain healthy and pathological movement (Arnold et al., 2010; Binder‐Markey et al., 2019; Halilaj et al., 2018; Melzner et al., 2022; Sartori et al., 2017), guide surgical procedures (Bolsterlee et al., 2013; Delp et al., 1990; Nichols et al., 2016), understand muscle design (Blemker & Delp, 2006; Hosseini Nasab et al., 2022; Kapelner et al., 2020; Tennler et al., 2022) and predict performance (Crotin et al., 2022; Heiderscheit et al., 2022; Sinclair et al., 2022). Despite the scores of predictions made for a number of cases, direct validation is rare, and it is thus critical that we pursue validation of the major assumptions made and used in these human models.…”
Section: Introductionmentioning
confidence: 99%
“…Given these experimental results, it has become accepted practice to predict isometric muscles properties when direct measurements cannot or have not been made. In humans, skeletal muscle architectural principles have been generalized to explain healthy and pathological movement (Arnold et al., 2010; Binder‐Markey et al., 2019; Halilaj et al., 2018; Melzner et al., 2022; Sartori et al., 2017), guide surgical procedures (Bolsterlee et al., 2013; Delp et al., 1990; Nichols et al., 2016), understand muscle design (Blemker & Delp, 2006; Hosseini Nasab et al., 2022; Kapelner et al., 2020; Tennler et al., 2022) and predict performance (Crotin et al., 2022; Heiderscheit et al., 2022; Sinclair et al., 2022). Despite the scores of predictions made for a number of cases, direct validation is rare, and it is thus critical that we pursue validation of the major assumptions made and used in these human models.…”
Section: Introductionmentioning
confidence: 99%