Date of Award
6-15-2024
Document Type
Masters Thesis
Degree Name
M.S. in Mechanical Engineering
Organizational Unit
Daniel Felix Ritchie School of Engineering and Computer Science, Mechanical and Materials Engineering
First Advisor
Kevin B. Shelburne
Second Advisor
Casey A. Myers
Keywords
Computational modeling, Total shoulder arthroplasty
Abstract
Total shoulder arthroplasty (TSA) is often considered a surgery of last resort for patients with debilitating pathologies of the glenohumeral joint such as osteoarthritis, humeral head fracture, and advancing rotator cuff tears. TSA replaces the articulation between the humeral head and the glenoid fossa, with the goals of relieving pain and restoring function. Two types of total shoulder implants are available: Anatomic Total Shoulder Arthroplasty (aTSA) and Reverse Total Shoulder Arthroplasty (rTSA). TSA survivorship is lower than that of the survivorship seen in total knee and hip replacements [1]. Shoulder muscle moment arms and lines of action have been measured experimentally in cadaveric studies, and computational musculoskeletal models have been developed in OpenSim [2] to analyze muscle function and joint loading of the shoulder [3], [4],[5],[6], [7]. Little work has been done to quantify muscle forces and joint reaction loads in healthy and implanted shoulders using a fully patient-specific approach. Patient-specific musculoskeletal OpenSim models of six subjects, three aTSA, three rTSA, and their six contralateral shoulders, were created using subject-specific kinematics captured through high-speed stereo radiography (HSSR) for abduction, flexion, and external rotation movements. This work emphasized the importance of patient-specific kinematics on muscle force and joint reaction force predictions for TSA patients. We also described how rTSA alters the morphology of the glenohumeral joint and the resulting mobilizing and stabilizing capacity of the muscles.
Copyright Date
6-2024
Copyright Statement / License for Reuse
All Rights Reserved.
Publication Statement
Copyright is held by the author. User is responsible for all copyright compliance.
Rights Holder
Brendan M. Curran
Provenance
Received from ProQuest
File Format
application/pdf
Language
English (eng)
Extent
253 pgs
File Size
11.3 MB
Recommended Citation
Curran, Brendan M., "Patient-Specific Musculoskeletal Modeling of Total Shoulder Arthroplasty" (2024). Electronic Theses and Dissertations. 2407.
https://digitalcommons.du.edu/etd/2407