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Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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Reverse Total Shoulder Arthroplasty Alters Humerothoracic, Scapulothoracic, and Glenohumeral Motion During Weighted Scaption

Authors: Sulkar, HJ; Aliaj, K; Tashjian, RZ; Chalmers, PN; Foreman, KB; Henninger, HB;

Reverse Total Shoulder Arthroplasty Alters Humerothoracic, Scapulothoracic, and Glenohumeral Motion During Weighted Scaption

Abstract

This dataset contains scapula and humerus kinematics from 10 healthy subjects, and 10 subjects post-operative to reverse total shoulder arthroplasty, performing scapular plane abduction (scaption) with and without a 2.2 kg (5 lb) handheld weight. The humerus and scapula were imaged at 100 Hz using a biplane fluoroscopy system. 3D models of the humerus and scapula were constructed from each subject’s CT scan. Model-based markerless tracking ascertained the 3D position and orientation of each bone model by semi-automatically aligning digitally reconstructed radiographs against each frame of the biplane fluoroscopy recordings. The kinematics of the bones are presented relative to each subject's torso. These data are available for download to aid researchers and clinicians in characterizing non-pathologic and reverse total shoulder arthroplasty motion during scapular plane abduction with and without a 5 lb handheld weight.

Research reported in this publication was supported by the National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS) of the National Institutes of Health under award number R01 AR067196. The research content herein is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

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Keywords

reverse total shoulder arthroplasty, shoulder, scapula, humerus, 3D model, kinematics

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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