Macquarie University
Browse
01whole.pdf (13.97 MB)

Biomechanical analysis of patient-specific knee pathologies and treatments: a musculoskeletal modelling investigation

Download (13.97 MB)
thesis
posted on 2023-11-03, 03:46 authored by Sara sadat Farshidfar
In knee trauma, such as anterior cruciate ligament (ACL) rupture, the mechanical environment of the joint is altered. Patients with ACL-deficient knees can experience increased incidence of knee osteoarthritis (OA), leading to the need for total knee arthroplasty (TKA). Understanding knee joint mechanics is imperative to improving surgery and patient outcomes. This thesis aimed to use musculoskeletal modelling to assess knee pathologies and treatments by developing a validated patient-specific musculoskeletal knee model to predict joint biomechanics in ACL-deficient and reconstructed knees; and examining changes in kinetics and kinematics of OA patients during dynamic activities before and after TKA.

History

Table of Contents

Chapter 1: Introduction -- Chapter 2: Review of Literature in General -- Chapter 3: The Effect of Modelling Parameters in The Development and Validation of Knee Joint Models on Ligament Mechanics: A Systematic Review -- Chapter 4: Towards a Validated Musculoskeletal Knee Model to Estimate Tibiofemoral Kinematics and Ligament Strains: Comparison of Different Anterolateral Augmentation Procedures Combined With Isolated ACL Reconstructions -- Chapter 5: Biomechanical Improvements in Gait Following Medial Pivot Knee Implant Surgery -- Chapter 6: Pre-Operative and Post-Operative Knee Joint Kinematics and Kinetics During Stair Climbing in Total Knee Arthroplasty (TKA) Patients -- Chapter 7: General Discussion -- Appendix -- References

Awarding Institution

Macquarie University

Degree Type

Thesis PhD

Degree

Doctor of Philosophy

Department, Centre or School

Macquarie Medical School

Year of Award

2023

Principal Supervisor

Dane Turner

Additional Supervisor 1

Richard Appleyard

Rights

Copyright: The Author Copyright disclaimer: https://www.mq.edu.au/copyright-disclaimer

Language

English

Extent

184 pages

Former Identifiers

AMIS ID: 252952

Usage metrics

    Macquarie University Theses

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC