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      A CT method for following patients with both prosthetic replacement and implanted tantalum beads: preliminary analysis with a pelvic model and in seven patients

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          Abstract

          Background

          Radiostereometric analysis (RSA) is often used for evaluating implanted devices over time. Following patients who have had tantalum beads implanted as markers in conjunction with joint replacements is important for longitudinal evaluation of these patients and for those with similar implants. As doing traditional RSA imaging is exacting and limited to specialized centers, it is important to consider alternative techniques for this ongoing evaluation. This paper studies the use of computed tomography (CT) to evaluate over time tantalum beads which have been implanted as markers.

          Methods

          The project uses both a hip model implanted with tantalum beads, acquired in several orientations, at two different CT energy levels, and a cohort of seven patients. The model was evaluated twice by the same observer with a 1-week interval. All CT volumes were analyzed using a semi-automated 3D volume fusion (spatial registration) tool which provides landmark-based fusion of two volumes, registering a target volume with a reference volume using a rigid body 3D algorithm. The mean registration errors as well as the accuracy and repeatability of the method were evaluated.

          Results

          The mean registration error, maximum value of repeatability, and accuracy for the relative movement in the model were 0.16 mm, 0.02° and 0.1 mm, and 0.36° and 0.13 mm for 120 kVp and 0.21 mm, 0.04° and 0.01 mm, and 0.39° and 0.12 mm for 100 kVp. For the patients, the mean registration errors per patient ranged from 0.08 to 0.35 mm. These results are comparable to those in typical clinical RSA trials. This technique successfully evaluated two patients who would have been lost from the cohort if only RSA were used.

          Conclusions

          The proposed technique can be used to evaluate patients with tantalum beads over time without the need for stereoradiographs. Further, the effective dose associated with CT is decreasing.

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          Most cited references37

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          R: A language and environmental for statistical computing

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            Guidelines for standardization of radiostereometry (RSA) of implants.

            There is a need for standardization of radiostereometric (RSA) investigations to facilitate comparison of outcome reported from different research groups. In this document, 6 research centers have agreed upon standards for terminology, description and use of RSA arrangement including radiographic set-up and techniques. Consensus regarding minimum requirements for marker stability and scatter, choice of coordinate systems, and preferred way of describing prosthetic micromotion is of special interest. Some notes on data interpretation are also presented. Validation of RSA should be standardized by preparation of protocols for assessment of accuracy and precision. Practical issues related to loading of the joint by weight bearing or other conditions, follow-up intervals, length of follow-up, radiation dose, and the exclusion of patients due to technical errors are considered. Finally, we present a checklist of standardized output that should be included in any clinical RSA paper.This document will form the basis of a detailed standardization protocol under supervision of ISO and the European Standards Working Group on Joint Replacement Implants (CEN/TC 285/WG4). This protocol will facilitate inclusion of RSA in a standard protocol for implant testing before it is released for general use. Such a protocol-also including other recognized clinical outcome parameters-will reduce the risk of implanting potentially inferior prostheses on a large scale.
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              Determining the movements of the skeleton using well-configured markers.

              The problem of determining skeletal movements in three dimensions by using a number of landmarks is treated. We present a method that determines the motion of a rigid body by using the positions of the landmarks in least-squares sense. The method uses the singular value decomposition of a matrix derived from the positions of the landmarks. We show how one can use this method to express movement of skeleton segments relative to each other. As many others have pointed out, the movement can be very ill determined if the landmarks are badly configured. We present a condition number for the problem with good geometrical properties. The condition number depends on the configuration of the landmarks and indicates how to distribute the landmarks in a suitable way.
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                Author and article information

                Contributors
                +46 8 517-72721 , henrik.olivecrona@karolinska.se
                maguire@kth.se
                +212-263-7410 , marilyne.noz@gmail.com
                zeleznik@cs.utah.edu
                uldis.kesteris@med.lu.edu
                lars.weidenhielm@karolinska.se
                Journal
                J Orthop Surg Res
                J Orthop Surg Res
                Journal of Orthopaedic Surgery and Research
                BioMed Central (London )
                1749-799X
                24 February 2016
                24 February 2016
                2016
                : 11
                : 27
                Affiliations
                [ ]Department of Molecular Medicine and Surgery, Karolinska Institutet, SE-17176 Stockholm, Sweden
                [ ]School of Information and Communication Technology, KTH Royal Institute of Technology, Stockholm, Sweden
                [ ]Department of Radiology, New York University School of Medicine, 560 First Avenue, New York, NY 10016 USA
                [ ]School of Computing, College of Engineering, University of Utah, Salt Lake City, UT USA
                [ ]Department of Orthopedics, Skåne University Hospital, Lund, Sweden
                Author information
                http://orcid.org/0000-0002-2442-1622
                Article
                360
                10.1186/s13018-016-0360-7
                4766687
                26911571
                36387a73-2076-4643-b505-593cc480c310
                © Olivecrona et al. 2016

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 19 October 2015
                : 17 February 2016
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2016

                Surgery
                radiostereometry,longitudinal studies,ct analysis,rsa
                Surgery
                radiostereometry, longitudinal studies, ct analysis, rsa

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