Low-field magnetic resonance imaging offers potential for measuring tibial component migration

F.F. Schröder*, N.J.J. Verdonschot, B. ten Haken, A. Peters, A.J.H. Vochteloo, D.F.M. Pakvis, R. Huis in’t Veld

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

7 Citations (Scopus)
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Abstract

Background: Roentgen stereophotogrammetric analysis (RSA) is used to measure early prosthetic migration and to predict future implant failure. RSA has several disadvantages, such as the need for perioperatively inserted tantalum markers. Therefore, this study evaluates low-field MRI as an alternative to RSA. The use of traditional MRI with prostheses induces disturbing metal artifacts which are reduced by low-field MRI. The purpose of this study is to assess the feasibility to use low-field (0.25 Tesla) MRI for measuring the precision of zero motion. This was assessed by calculating the virtual prosthetic motion of a zero-motion prosthetic reconstruction in multiple scanning sessions. Furthermore, the effects of different registration methods on these virtual motions were tested.

Results: The precision of zero motion for low-field MRI was between 0.584 mm and 1.974 mm for translation and 0.884° and 3.774° for rotation. The manual registration method seemed most accurate, with μ ≤ 0.13 mm (σ ≤ 0.931 mm) for translation and μ ≤ 0.15° (σ ≤ 1.63°) for rotation.

Conclusion: Low-field MRI is not yet as precise as today’s golden standard (marker based RSA) as reported in the literature. However, low-field MRI is feasible of measuring the relative position of bone and implant with comparable precision as obtained with marker-free RSA techniques. Of the three registration methods tested, manual registration was most accurate. Before starting clinical validation further research is necessary and should focus on improving scan sequences and registration algorithms.
Original languageEnglish
Article number4
Number of pages9
JournalJournal of Experimental Orthopaedics
Volume5
Issue number1
DOIs
Publication statusPublished - 1 Dec 2018

Keywords

  • Low-field MRI
  • Migration
  • Precision
  • Prosthetic loosening
  • Roentgen stereophotogrammetric analysis (RSA)

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