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

Peter J. Laz

Second Advisor

Chadd W. Clary

Third Advisor

Charles S. Reichardt

Keywords

Anatomic variability, Diverse populations, Knee joint, Statistical intensity modelling, Statistical shape modelling, Total knee arthroplasty

Abstract

Total Knee Arthroplasty (TKA) is a widely performed surgical procedure aimed at alleviating pain and restoring function in patients with severe knee osteoarthritis. Despite its general success, disparities in postoperative outcomes have been observed across different racial and ethnic groups, with minority populations often experiencing less favorable results. One potential avenue for improving the generalizability of orthopaedic implants is using Statistical Shape and Intensity Models (SSIMs), which can be used to incorporate patient variability directly into the orthopaedic medical device development workflow through population-based finite element analysis.

This work aimed to construct an SSIM from a diverse subject set, incorporating male and female subjects of various ages from Asian, Hispanic, Black or African American, Native American, and White racial or ethnic groups using a novel registration method. Through t-tests and Analysis of Variance (ANOVA), significant differences in both shape and material properties across these demographic groups were detected. Notably, the analysis revealed literature-supported differences in bone size between the sexes and changes in bone material quality with age. While significant differences in bone morphology and bone quality among racial and ethnic groups were observed, further validation with a more balanced and robust training set is needed to confirm these findings. Finally, an innovative application to facilitate the utilization of these findings in the development of orthopedic devices was created. This work represents a significant step towards greater inclusivity and personalized care in orthopedic device development.

Copyright Date

6-2024

Copyright Statement / License for Reuse

All Rights Reserved
All Rights Reserved.

Publication Statement

Copyright is held by the author. User is responsible for all copyright compliance.

Rights Holder

Gabrielle Jeannine Kindy

Provenance

Received from ProQuest

File Format

application/pdf

Language

English (eng)

Extent

250 pgs

File Size

6.2 MB

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