Publication:
Quantitative wear particle analysis for osteoarthritis assessment

ac.person.orcid 0000-0002-3059-5813
ac.person.orcid 0000-0002-0506-9811
ac.person.position HDR Student
ac.person.position Staff
ac.person.position Staff
dc.contributor.advisor Peng, Zhongxiao
dc.contributor.advisor Lord, Megan
dc.contributor.author Guo, Meizhai
dc.date.accessioned 2022-03-07T01:56:37Z
dc.date.available 2022-03-07T01:56:37Z
dc.date.issued 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.identifier.uri http://hdl.handle.net/1959.4/100130
dc.language English
dc.language.iso en
dc.publisher UNSW, Sydney
dc.rights CC BY 4.0
dc.rights.uri https://creativecommons.org/licenses/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.accessRights.uri https://purl.org/coar/access_right/c_abf2
unsw.identifier.doi https://doi.org/10.26190/unsworks/2040
unsw.relation.faculty Engineering
unsw.relation.school School of Mechanical and Manufacturing Engineering
unsw.relation.school School of Biomedical Engineering
unsw.relation.school School of Mechanical and Manufacturing Engineering
unsw.thesis.degreetype Masters Thesis
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
public version.pdf
Size:
5.61 MB
Format:
application/pdf
Description:
Resource type