Quantitative wear particle analysis for osteoarthritis assessment

dc.contributor.advisor Peng, Zhongxiao
dc.contributor.advisor Lord, Megan Guo, Meizhai 2022-03-07T01:56:37Z 2022-03-07T01:56:37Z 2016
dc.description.abstract Osteoarthritis is a degenerative joint disease that affects millions of people worldwide. The aims of this study were (1) to quantitatively characterise the boundary and surface features of wear particles present in the synovial fluid of patients, (2) to select key numerical parameters that describe distinctive particle features and enable osteoarthritis assessment and (3) to develop a model to assess osteoarthritis conditions using comprehensive wear debris information. Discriminant analysis was used to statistically group particles based on differences in their numerical parameters. The analysis methods agreed with the clinical osteoarthritis grades in 63%, 50% and 61% of particles for no osteoarthritis, mild osteoarthritis and severe osteoarthritis, respectively. This study has revealed particle features specific to different osteoarthritis grades and provided further understanding of the cartilage degradation process through wear particle analysis – the technique that has the potential to be developed as an objective and minimally invasive method for osteoarthritis diagnosis.
dc.language English
dc.language.iso en
dc.publisher UNSW, Sydney
dc.rights CC BY 4.0
dc.subject.other wear particles
dc.title Quantitative wear particle analysis for osteoarthritis assessment
dc.type Thesis
dcterms.accessRights open access
dcterms.rightsHolder Guo, Meizhai
dspace.entity.type Publication
unsw.relation.faculty Engineering School of Mechanical and Manufacturing Engineering School of Biomedical Engineering School of Mechanical and Manufacturing Engineering
unsw.thesis.degreetype Masters Thesis
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