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TY  - THES
AU  - Ehreiser, Sonja
TI  - Optimization of patient matching in total knee arthroplasty through improved implant sizing and detailed fit assessment
PB  - Rheinisch-Westfälische Technische Hochschule Aachen
VL  - Dissertation
CY  - Aachen
M1  - RWTH-2024-06145
SP  - 1 Online-Ressource : Illustrationen
PY  - 2024
N1  - Veröffentlicht auf dem Publikationsserver der RWTH Aachen University
N1  - Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2024
AB  - Total knee arthroplasty is one of the most performed surgeries worldwide. Indicators of treatment success, such as revision rates or patient satisfaction, are subject to multiple influences, with implant design and associated patient-specific implant fit being a relevant and variable factor. A considerable discrepancy between implant and bone shape in terms of size as well as individual morphologic parameters has been reported for various populations. Such mismatch can motivate the advising of a customized implant. However, there is currently no standardized method to support this decision, or for detailed assessment of knee implant fit in general. Hence, the aim of this thesis was to evaluate the potential for standard implant size optimization and to develop methods for patient-specific implant fit evaluation, with the goal of optimizing patient matching in total knee arthroplasty. The possibility of improved size matching through numerically optimized sizing was demonstrated for a large database of over 85.000 knees. With the numerically optimized sizes an increase in population coverage of 19
LB  - PUB:(DE-HGF)11
DO  - DOI:10.18154/RWTH-2024-06145
UR  - https://publications.rwth-aachen.de/record/988379
ER  -