Using mri measurement to improve accuracy of femoral component sizing in oxford unicompartmental knee arthroplasty

2Citations
Citations of this article
19Readers
Mendeley users who have this article in their library.

Abstract

Unicompartmental knee arthroplasty (UKA) can achieve better kinematics and faster recovery than total knee arthroplasty. The Phase III Oxford UKA system has five sizes of femoral com-ponents to approximate the normal knee geometry. However, these different sizes may also induce problems, such as the misselection of component size. Different criteria have been proposed to predict the ideal size preoperatively. However, no single method can be applied universally. Therefore, this study aimed to develop a preoperative measurement using knee magnetic resonance imaging (MRI) to predict femoral component size. A total of 68 patients who underwent UKA were investigated from June 2019 to April 2020. 16 knees using a different MRI protocol were excluded. We devel-oped an MRI measurement method to determine femoral size instead of gender-and height-based methods. The accuracy of different methods was compared using postoperative true lateral view radiographs. Three different kinds of gender-and height-based criteria, preoperative templating and intraoperative spoon measurement were compared. The accuracy of MRI measurement was 90.3%. Therefore, a significant difference was found between MRI measurements and all other methods, such as templating or gender-and height-based methods. In conclusion, the MRI measurement method can be concluded to accurately predict femoral component size in UKA. This method could be used regardless of different ethnic groups, individual knee geometry, or soft tissue tension.

Cite

CITATION STYLE

APA

Yang, C. P., Lai, Y. C., Wu, C. T., Hung, K. T., Chan, Y. S., Chen, A. C. Y., & Hsu, K. Y. (2021). Using mri measurement to improve accuracy of femoral component sizing in oxford unicompartmental knee arthroplasty. Journal of Clinical Medicine, 10(18). https://doi.org/10.3390/jcm10184284

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free