Patient-Specific Instrumentation in Total Knee Arthroplasty: Alignment Accuracy and Clinical Scores

Authors

  • Bruun A Department of Arthroplasty, University of Copenhagen, Copenhagen, Denmark Author
  • Berzins J Department of Biomechanics, University of Latvia, Riga, Latvia Author
  • Hrabovsky P Department of Orthopaedic Surgery, Pavol Jozef Safarik University, Kosice, Slovakia Author

DOI:

https://doi.org/10.5281/zenodo.22326912

Keywords:

Patient-specific instrumentation, Total knee arthroplasty, Mechanical alignment, Outliers, Knee Society Score, Robotic surgery

Abstract

Graphical abstract

Background: Patient-specific instrumentation (PSI) uses preoperative CT or MRI to manufacture single-use cutting guides for
total knee arthroplasty (TKA), promising more accurate alignment and lower instrumentation burden than conventional
technique. Objective: To synthesise comparative evidence on PSI accuracy, efficiency, cost, and outcomes relative to conventional
instrumentation and navigated/robotic TKA. Methods: Narrative review of randomised trials, comparative series, and systematic reviews/meta-analyses. Findings: Individual series report fewer coronal outliers with PSI (9-13% versus 22-29% for conventional), but pooled meta-analyses find no significant difference in outliers, operative time, blood loss, or Oxford/WOMAC/KSS scores; navigation and robotics achieve more consistent alignment than PSI. Conclusions: PSI offers workflow convenience but no demonstrated accuracy or outcome advantage over conventional instrumentation, and is outperformed by robotic/navigated techniques on alignment precision.
Keywords: Patient-specific instrumentation; Total knee arthroplasty; Mechanical alignment; Outliers; Knee Society Score;
Robotic surgery

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Graphical abstract

Published

2024-11-13

Issue

Section

Articles

How to Cite

Patient-Specific Instrumentation in Total Knee Arthroplasty: Alignment Accuracy and Clinical Scores. (2024). International Journal of Orthopedics, 5(1), 16-23. https://doi.org/10.5281/zenodo.22326912