Literature DB >> 21092967

Accuracy of single-plane fluoroscopy in determining relative position and orientation of total knee replacement components.

Stacey Acker1, Rebecca Li, Heather Murray, Paul St John, Scott Banks, Shang Mu, Urs Wyss, Kevin Deluzio.   

Abstract

The accuracy of estimating the relative pose between knee replacement components, in terms of clinical motion, is important in the study of knee joint kinematics. The objective of this study was to determine the accuracy of the single-plane fluoroscopy method in calculating the relative pose between the femoral component and the tibial component, along knee motion axes, while the components were in motion relative to one another. The kinematics of total knee replacement components were determined in vitro using two simultaneous methods: single-plane fluoroscopic shape matching and an optoelectronic motion tracking system. The largest mean differences in relative pose between the two methods for any testing condition were 2.1°, 0.3°, and 1.1° in extension, abduction, and internal rotation respectively, and 1.3, 0.9, and 1.9 mm in anterior, distal, and lateral translations, respectively. For the optimized position of the components during dynamic trials, the limits of agreement, between which 95% of differences can be expected to fall, were -2.9 to 4.5° in flexion, -0.9 to 1.5° in abduction, -2.4 to 2.1° in external rotation, -2.0 to 3.9 mm in anterior-posterior translation, -2.2 to 0.4mm in distal-proximal translation and -7.2 to 8.6mm in medial-lateral translation. These mean accuracy values and limits of agreement can be used to determine whether the shape-matching approach using single-plane fluoroscopic images is sufficiently accurate for an intended motion tracking application.
Copyright © 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 21092967     DOI: 10.1016/j.jbiomech.2010.10.033

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


  15 in total

Review 1.  Fluoroscopy-based tracking of femoral kinematics with statistical shape models.

Authors:  Marta Valenti; Elena De Momi; Weimin Yu; Giancarlo Ferrigno; Mohsen Akbari Shandiz; Carolyn Anglin; Guoyan Zheng
Journal:  Int J Comput Assist Radiol Surg       Date:  2015-09-26       Impact factor: 2.924

2.  A fast, accurate and closed-form method for pose recognition of an intramedullary nail using a tracked C-arm.

Authors:  H Esfandiari; S Amiri; D D Lichti; C Anglin
Journal:  Int J Comput Assist Radiol Surg       Date:  2015-10-08       Impact factor: 2.924

3.  Kinematics of monoblock bicompartmental knee arthroplasty during weight-bearing activities.

Authors:  Brian H Park; Jorg Leffler; Alois Franz; Nicholas J Dunbar; Scott A Banks
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2014-11-21       Impact factor: 4.342

4.  Knee kinetics and kinematics: What are the effects of TKA malconfigurations?

Authors:  Silvia Pianigiani; Luc Labey; Walter Pascale; Bernardo Innocenti
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2015-01-24       Impact factor: 4.342

5.  In vitro quantification of the performance of model-based mono-planar and bi-planar fluoroscopy for 3D joint kinematics estimation.

Authors:  Luca Tersi; Arnaud Barré; Silvia Fantozzi; Rita Stagni
Journal:  Med Biol Eng Comput       Date:  2012-11-11       Impact factor: 2.602

Review 6.  Subject-specific analysis of joint contact mechanics: application to the study of osteoarthritis and surgical planning.

Authors:  Corinne R Henak; Andrew E Anderson; Jeffrey A Weiss
Journal:  J Biomech Eng       Date:  2013-02       Impact factor: 2.097

7.  Gaussian mixture models based 2D-3D registration of bone shapes for orthopedic surgery planning.

Authors:  Marta Valenti; Giancarlo Ferrigno; Dario Martina; Weimin Yu; Guoyan Zheng; Mohsen Akbari Shandiz; Carolyn Anglin; Elena De Momi
Journal:  Med Biol Eng Comput       Date:  2016-03-23       Impact factor: 2.602

8.  Error performances of a model-based biplane fluoroscopic system for tracking knee prosthesis during treadmill gait task.

Authors:  Arnaud Barré; Kamiar Aminian
Journal:  Med Biol Eng Comput       Date:  2017-07-18       Impact factor: 2.602

9.  An automatic 2D-3D image matching method for reproducing spatial knee joint positions using single or dual fluoroscopic images.

Authors:  Zhonglin Zhu; Guoan Li
Journal:  Comput Methods Biomech Biomed Engin       Date:  2011-08-01       Impact factor: 1.763

10.  Characterizing fluoroscopy based kinematic accuracy as a function of pulse width and velocity.

Authors:  Arin M Ellingson; Joseph D Mozingo; Dixon J Magnuson; Mark W Pagnano; Kristin D Zhao
Journal:  J Biomech       Date:  2016-10-11       Impact factor: 2.712

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