Clinical applications of musculoskeletal modelling for the shoulder and upper limb

Musculoskeletal models have been developed to estimate internal loading on the human skeleton, which cannot directly be measured in vivo, from external measurements like kinematics and external forces. Such models of the shoulder and upper extremity have been used for a variety of purposes, ranging...

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Vydáno v:	Medical & biological engineering & computing Ročník 51; číslo 9; s. 953 - 963
Hlavní autoři:	Bolsterlee, Bart, Veeger, DirkJan H. E. J., Chadwick, Edward K.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2013 Springer Nature B.V
Témata:	Arm - anatomy & histology Arm - physiology Biomechanical Phenomena Biomechanics Biomedical and Life Sciences Biomedical engineering Biomedical Engineering and Bioengineering Biomedicine Computer Applications Computer based modeling Human Physiology Humans Imaging Kinematics Models, Anatomic Models, Biological Muscle, Skeletal - anatomy & histology Muscle, Skeletal - physiology Musculoskeletal system Radiology Review Article Shoulder - anatomy & histology Shoulder - physiology Studies Tendons Thorax Europe Subject-specific Clinical applications Shoulder biomechanics Musculoskeletal models
ISSN:	0140-0118, 1741-0444, 1741-0444
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Popis
Shrnutí:	Musculoskeletal models have been developed to estimate internal loading on the human skeleton, which cannot directly be measured in vivo, from external measurements like kinematics and external forces. Such models of the shoulder and upper extremity have been used for a variety of purposes, ranging from understanding basic shoulder biomechanics to assisting in preoperative planning. In this review, we provide an overview of the most commonly used large-scale shoulder and upper extremity models and categorise the applications of these models according to the type of questions their users aimed to answer. We found that the most explored feature of a model is the possibility to predict the effect of a structural adaptation on functional outcome, for instance, to simulate a tendon transfer preoperatively. Recent studies have focused on minimising the mismatch in morphology between the model, often derived from cadaver studies, and the subject that is analysed. However, only a subset of the parameters that describe the model’s geometry and, perhaps most importantly, the musculotendon properties can be obtained in vivo. Because most parameters are somehow interrelated, the others should be scaled to prevent inconsistencies in the model’s structure, but it is not known exactly how. Although considerable effort is put into adding complexity to models, for example, by making them subject-specific, we have found little evidence of their superiority over current models. The current trend in development towards individualised, more complex models needs to be justified by demonstrating their ability to answer questions that cannot already be answered by existing models.
Bibliografie:	ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 ObjectType-Review-3 content type line 23
ISSN:	0140-0118 1741-0444 1741-0444
DOI:	10.1007/s11517-013-1099-5