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Validation of static and dynamic radiostereometric analysis of the knee joint using bone models from CT data

OBJECTIVES: Static radiostereometric analysis (RSA) using implanted markers is considered the most accurate system for the evaluation of prosthesis migration. By using CT bone models instead of markers, combined with a dynamic RSA system, a non-invasive measurement of joint movement is enabled. This...

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Autores principales: Stentz-Olesen, K., Nielsen, E. T., De Raedt, S., Jørgensen, P. B., Sørensen, O. G., Kaptein, B. L., Andersen, M. S., Stilling, M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5492337/
https://www.ncbi.nlm.nih.gov/pubmed/28600383
http://dx.doi.org/10.1302/2046-3758.66.BJR-2016-0113.R3
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author Stentz-Olesen, K.
Nielsen, E. T.
De Raedt, S.
Jørgensen, P. B.
Sørensen, O. G.
Kaptein, B. L.
Andersen, M. S.
Stilling, M.
author_facet Stentz-Olesen, K.
Nielsen, E. T.
De Raedt, S.
Jørgensen, P. B.
Sørensen, O. G.
Kaptein, B. L.
Andersen, M. S.
Stilling, M.
author_sort Stentz-Olesen, K.
collection PubMed
description OBJECTIVES: Static radiostereometric analysis (RSA) using implanted markers is considered the most accurate system for the evaluation of prosthesis migration. By using CT bone models instead of markers, combined with a dynamic RSA system, a non-invasive measurement of joint movement is enabled. This method is more accurate than current 3D skin marker-based tracking systems. The purpose of this study was to evaluate the accuracy of the CT model method for measuring knee joint kinematics in static and dynamic RSA using the marker method as the benchmark. METHODS: Bone models were created from CT scans, and tantalum beads were implanted into the tibia and femur of eight human cadaver knees. Each specimen was secured in a fixture, static and dynamic stereoradiographs were recorded, and the bone models and marker models were fitted to the stereoradiographs. RESULTS: Results showed a mean difference between the two methods in all six degrees of freedom for static RSA to be within -0.10 mm/° and 0.08 mm/° with a 95% limit of agreement (LoA) ranging from ± 0.49 to 1.26. Dynamic RSA had a slightly larger range in mean difference of -0.23 mm/° to 0.16 mm/° with LoA ranging from ± 0.75 to 1.50. CONCLUSIONS: In a laboratory-controlled setting, the CT model method combined with dynamic RSA may be an alternative to previous marker-based methods for kinematic analyses. Cite this article: K. Stentz-Olesen, E. T. Nielsen, S. De Raedt, P. B. Jørgensen, O. G. Sørensen, B. L. Kaptein, M. S. Andersen, M. Stilling. Validation of static and dynamic radiostereometric analysis of the knee joint using bone models from CT data. Bone Joint Res 2017;6:376–384. DOI: 10.1302/2046-3758.66.BJR-2016-0113.R3.
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spelling pubmed-54923372017-07-10 Validation of static and dynamic radiostereometric analysis of the knee joint using bone models from CT data Stentz-Olesen, K. Nielsen, E. T. De Raedt, S. Jørgensen, P. B. Sørensen, O. G. Kaptein, B. L. Andersen, M. S. Stilling, M. Bone Joint Res Knee OBJECTIVES: Static radiostereometric analysis (RSA) using implanted markers is considered the most accurate system for the evaluation of prosthesis migration. By using CT bone models instead of markers, combined with a dynamic RSA system, a non-invasive measurement of joint movement is enabled. This method is more accurate than current 3D skin marker-based tracking systems. The purpose of this study was to evaluate the accuracy of the CT model method for measuring knee joint kinematics in static and dynamic RSA using the marker method as the benchmark. METHODS: Bone models were created from CT scans, and tantalum beads were implanted into the tibia and femur of eight human cadaver knees. Each specimen was secured in a fixture, static and dynamic stereoradiographs were recorded, and the bone models and marker models were fitted to the stereoradiographs. RESULTS: Results showed a mean difference between the two methods in all six degrees of freedom for static RSA to be within -0.10 mm/° and 0.08 mm/° with a 95% limit of agreement (LoA) ranging from ± 0.49 to 1.26. Dynamic RSA had a slightly larger range in mean difference of -0.23 mm/° to 0.16 mm/° with LoA ranging from ± 0.75 to 1.50. CONCLUSIONS: In a laboratory-controlled setting, the CT model method combined with dynamic RSA may be an alternative to previous marker-based methods for kinematic analyses. Cite this article: K. Stentz-Olesen, E. T. Nielsen, S. De Raedt, P. B. Jørgensen, O. G. Sørensen, B. L. Kaptein, M. S. Andersen, M. Stilling. Validation of static and dynamic radiostereometric analysis of the knee joint using bone models from CT data. Bone Joint Res 2017;6:376–384. DOI: 10.1302/2046-3758.66.BJR-2016-0113.R3. 2017-06-30 /pmc/articles/PMC5492337/ /pubmed/28600383 http://dx.doi.org/10.1302/2046-3758.66.BJR-2016-0113.R3 Text en © 2017 Stentz-Olesen et al. This is an open-access article distributed under the terms of the Creative Commons Attributions licence (CC-BY-NC), which permits unrestricted use, distribution, and reproduction in any medium, but not for commercial gain, provided the original author and source are credited.
spellingShingle Knee
Stentz-Olesen, K.
Nielsen, E. T.
De Raedt, S.
Jørgensen, P. B.
Sørensen, O. G.
Kaptein, B. L.
Andersen, M. S.
Stilling, M.
Validation of static and dynamic radiostereometric analysis of the knee joint using bone models from CT data
title Validation of static and dynamic radiostereometric analysis of the knee joint using bone models from CT data
title_full Validation of static and dynamic radiostereometric analysis of the knee joint using bone models from CT data
title_fullStr Validation of static and dynamic radiostereometric analysis of the knee joint using bone models from CT data
title_full_unstemmed Validation of static and dynamic radiostereometric analysis of the knee joint using bone models from CT data
title_short Validation of static and dynamic radiostereometric analysis of the knee joint using bone models from CT data
title_sort validation of static and dynamic radiostereometric analysis of the knee joint using bone models from ct data
topic Knee
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5492337/
https://www.ncbi.nlm.nih.gov/pubmed/28600383
http://dx.doi.org/10.1302/2046-3758.66.BJR-2016-0113.R3
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