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Development and validation of a clinical tool to semi-automatic measure three-dimensional TAR alignment on two-dimensional radiographs

BACKGROUND: Malalignment is often postulated as an important reason for the high failure rate of total ankle replacements (TARs). The correlation between TAR malalignment and clinical outcome, however, is not fully understood. Improving and expanding radiographic TAR alignment measurements in the cl...

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Autores principales: van Hoogstraten, Sanne W. G., Hermus, Joris, Verbiest, Vera, van Rietbergen, Bert, Arts, Jacobus J. C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10290371/
https://www.ncbi.nlm.nih.gov/pubmed/37353843
http://dx.doi.org/10.1186/s13047-023-00640-0
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author van Hoogstraten, Sanne W. G.
Hermus, Joris
Verbiest, Vera
van Rietbergen, Bert
Arts, Jacobus J. C.
author_facet van Hoogstraten, Sanne W. G.
Hermus, Joris
Verbiest, Vera
van Rietbergen, Bert
Arts, Jacobus J. C.
author_sort van Hoogstraten, Sanne W. G.
collection PubMed
description BACKGROUND: Malalignment is often postulated as an important reason for the high failure rate of total ankle replacements (TARs). The correlation between TAR malalignment and clinical outcome, however, is not fully understood. Improving and expanding radiographic TAR alignment measurements in the clinic might lead to a better insight into the correlation between malalignment and the clinical outcome. This study aims to develop and validate a tool to semi-automatic measure TAR alignment, and to improve alignment measurements on radiographs in the clinic. METHODS: A tool to semi-automatically measure TAR alignment on anteroposterior and lateral radiographs was developed in MATLAB. Using the principle of edge contouring and the perpendicular relationship between the anteroposterior and lateral radiographs, the exact configuration of the TAR components can be found. Two observers validated the tool by measuring TAR alignment of ten patients using the tool. The Intraclass Coefficient (ICC) was calculated to assess the reliability of the developed method. The results obtained by the tool were compared to clinical results during radiographic follow-up in the past, and the accuracy of both methods was calculated using three-dimensional CT data. RESULTS: The tool showed an accuracy of 76% compared to 71% for the method used during follow-up. ICC values were 0.94 (p < 0.01) and higher for both inter-and intra-observer reliability. CONCLUSIONS: The tool presents a reproducible method to measure TAR alignment parameters. Three-dimensional alignment parameters are obtained from two-dimensional radiographs, and as the tool can be applied to most TAR designs, it offers a valuable addition in the clinic and for research purposes.
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spelling pubmed-102903712023-06-25 Development and validation of a clinical tool to semi-automatic measure three-dimensional TAR alignment on two-dimensional radiographs van Hoogstraten, Sanne W. G. Hermus, Joris Verbiest, Vera van Rietbergen, Bert Arts, Jacobus J. C. J Foot Ankle Res Methodology BACKGROUND: Malalignment is often postulated as an important reason for the high failure rate of total ankle replacements (TARs). The correlation between TAR malalignment and clinical outcome, however, is not fully understood. Improving and expanding radiographic TAR alignment measurements in the clinic might lead to a better insight into the correlation between malalignment and the clinical outcome. This study aims to develop and validate a tool to semi-automatic measure TAR alignment, and to improve alignment measurements on radiographs in the clinic. METHODS: A tool to semi-automatically measure TAR alignment on anteroposterior and lateral radiographs was developed in MATLAB. Using the principle of edge contouring and the perpendicular relationship between the anteroposterior and lateral radiographs, the exact configuration of the TAR components can be found. Two observers validated the tool by measuring TAR alignment of ten patients using the tool. The Intraclass Coefficient (ICC) was calculated to assess the reliability of the developed method. The results obtained by the tool were compared to clinical results during radiographic follow-up in the past, and the accuracy of both methods was calculated using three-dimensional CT data. RESULTS: The tool showed an accuracy of 76% compared to 71% for the method used during follow-up. ICC values were 0.94 (p < 0.01) and higher for both inter-and intra-observer reliability. CONCLUSIONS: The tool presents a reproducible method to measure TAR alignment parameters. Three-dimensional alignment parameters are obtained from two-dimensional radiographs, and as the tool can be applied to most TAR designs, it offers a valuable addition in the clinic and for research purposes. BioMed Central 2023-06-24 /pmc/articles/PMC10290371/ /pubmed/37353843 http://dx.doi.org/10.1186/s13047-023-00640-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Methodology
van Hoogstraten, Sanne W. G.
Hermus, Joris
Verbiest, Vera
van Rietbergen, Bert
Arts, Jacobus J. C.
Development and validation of a clinical tool to semi-automatic measure three-dimensional TAR alignment on two-dimensional radiographs
title Development and validation of a clinical tool to semi-automatic measure three-dimensional TAR alignment on two-dimensional radiographs
title_full Development and validation of a clinical tool to semi-automatic measure three-dimensional TAR alignment on two-dimensional radiographs
title_fullStr Development and validation of a clinical tool to semi-automatic measure three-dimensional TAR alignment on two-dimensional radiographs
title_full_unstemmed Development and validation of a clinical tool to semi-automatic measure three-dimensional TAR alignment on two-dimensional radiographs
title_short Development and validation of a clinical tool to semi-automatic measure three-dimensional TAR alignment on two-dimensional radiographs
title_sort development and validation of a clinical tool to semi-automatic measure three-dimensional tar alignment on two-dimensional radiographs
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10290371/
https://www.ncbi.nlm.nih.gov/pubmed/37353843
http://dx.doi.org/10.1186/s13047-023-00640-0
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