Literature DB >> 21907991

The robustness and accuracy of in vivo linear wear measurements for knee prostheses based on model-based RSA.

E A van Ijsseldijk1, E R Valstar, B C Stoel, R G H H Nelissen, J H C Reiber, B L Kaptein.   

Abstract

Accurate in vivo measurements methods of wear in total knee arthroplasty are required for a timely detection of excessive wear and to assess new implant designs. Component separation measurements based on model-based Roentgen stereophotogrammetric analysis (RSA), in which 3-dimensional reconstruction methods are used, have shown promising results, yet the robustness of these measurements is unknown. In this study, the accuracy and robustness of this measurement for clinical usage was assessed. The validation experiments were conducted in an RSA setup with a phantom setup of a knee in a vertical orientation. 72 RSA images were created using different variables for knee orientations, two prosthesis types (fixed-bearing Duracon knee and fixed-bearing Triathlon knee) and accuracies of the reconstruction models. The measurement error was determined for absolute and relative measurements and the effect of knee positioning and true seperation distance was determined. The measurement method overestimated the separation distance with 0.1mm on average. The precision of the method was 0.10mm (2*SD) for the Duracon prosthesis and 0.20mm for the Triathlon prosthesis. A slight difference in error was found between the measurements with 0° and 10° anterior tilt. (difference=0.08mm, p=0.04). The accuracy of 0.1mm and precision of 0.2mm can be achieved for linear wear measurements based on model-based RSA, which is more than adequate for clinical applications. The measurement is robust in clinical settings. Although anterior tilt seems to influence the measurement, the size of this influence is low and clinically irrelevant.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21907991     DOI: 10.1016/j.jbiomech.2011.08.013

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  6 in total

1.  CORR Insights®: Radiostereometric Analysis Permits In Vivo Measurement of Very Small Levels of Wear in TKA.

Authors:  Robert H Hopper
Journal:  Clin Orthop Relat Res       Date:  2019-01       Impact factor: 4.176

2.  Radiostereometric Analysis Permits In Vivo Measurement of Very Small Levels of Wear in TKA.

Authors:  Matthew G Teeter; Jacob Wihlidal; Richard W McCalden; Xunhua Yuan; Steven J MacDonald; Brent A Lanting; Douglas D Naudie
Journal:  Clin Orthop Relat Res       Date:  2019-01       Impact factor: 4.176

3.  Validation of a model-based measurement of the minimum insert thickness of knee prostheses: a retrieval study.

Authors:  E A van IJsseldijk; M K Harman; J Luetzner; E R Valstar; B C Stoel; R G H H Nelissen; B L Kaptein
Journal:  Bone Joint Res       Date:  2014-10       Impact factor: 5.853

4.  Three dimensional measurement of minimum joint space width in the knee from stereo radiographs using statistical shape models.

Authors:  E A van IJsseldijk; E R Valstar; B C Stoel; R G H H Nelissen; N Baka; R Van't Klooster; B L Kaptein
Journal:  Bone Joint Res       Date:  2016-08       Impact factor: 5.853

5.  Similar polyethylene wear between cemented and cementless Oxford medial UKA: a 5-year follow-up randomized controlled trial on 79 patients using radiostereometry.

Authors:  Kristian Horsager; Frank Madsen; Anders Odgaard; Claus Fink Jepsen; Lone Rømer; Per Wagner Kristensen; Bart L Kaptein; Kjeld Søballe; Maiken Stilling
Journal:  Acta Orthop       Date:  2018-12-10       Impact factor: 3.717

Review 6.  Migration of the femoral component and clinical outcomes after total knee replacement: a narrative review.

Authors:  R Zinno; S Di Paolo; G Ambrosino; D Alesi; S Zaffagnini; G Barone; L Bragonzoni
Journal:  Musculoskelet Surg       Date:  2020-12-14
  6 in total

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