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Digital TKA Alignment Training with a New Digital Simulation Tool (Knee-CAT) Improves Process Quality, Efficiency, and Confidence

Individual alignment techniques have been introduced to restore patients’ unique anatomical variations during total knee arthroplasty. The transition from conventional mechanical alignment to individualised approaches, with the assistance of computer and/or robotic technologies, is challenging. The...

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Autores principales: Graichen, Heiko, Strauch, Marco, Hirschmann, Michael T., Becker, Roland, Lustig, Sébastien, Clatworthy, Mark, Jordaan, Jacobus Daniel, Hazratwala, Kaushik, von Eisenhart-Rothe, Rüdiger, Giesinger, Karlmeinrad, Calliess, Tilman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9960184/
https://www.ncbi.nlm.nih.gov/pubmed/36836448
http://dx.doi.org/10.3390/jpm13020213
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author Graichen, Heiko
Strauch, Marco
Hirschmann, Michael T.
Becker, Roland
Lustig, Sébastien
Clatworthy, Mark
Jordaan, Jacobus Daniel
Hazratwala, Kaushik
von Eisenhart-Rothe, Rüdiger
Giesinger, Karlmeinrad
Calliess, Tilman
author_facet Graichen, Heiko
Strauch, Marco
Hirschmann, Michael T.
Becker, Roland
Lustig, Sébastien
Clatworthy, Mark
Jordaan, Jacobus Daniel
Hazratwala, Kaushik
von Eisenhart-Rothe, Rüdiger
Giesinger, Karlmeinrad
Calliess, Tilman
author_sort Graichen, Heiko
collection PubMed
description Individual alignment techniques have been introduced to restore patients’ unique anatomical variations during total knee arthroplasty. The transition from conventional mechanical alignment to individualised approaches, with the assistance of computer and/or robotic technologies, is challenging. The objective of this study was to develop a digital training platform with real patient data to educate and simulate various modern alignment philosophies. The aim was to evaluate the training effect of the tool by measuring the process quality and efficiency, as well as the post-training surgeon’s confidence with new alignment philosophies. Based on 1000 data sets, a web-based interactive TKA computer navigation simulator (Knee-CAT) was developed. Quantitative decisions on bone cuts were linked to the extension and flexion gap values. Eleven different alignment workflows were introduced. A fully automatic evaluation system for each workflow, with a comparison function for all workflows, was implemented to increase the learning effect. The results of 40 surgeons with different experience levels using the platform were assessed. Initial data were analysed regarding process quality and efficiency and compared after two training courses. Process quality measured by the percentage of correct decisions was increased by the two training courses from 45% to 87.5%. The main reasons for failure were wrong decisions on the joint line, tibia slope, femoral rotation, and gap balancing. Efficiency was obtained with a reduction in time spent per exercise from 4 min 28 s to 2 min 35 s (42%) after the training courses. All volunteers rated the training tool as helpful or extremely helpful for learning new alignment philosophies. Separating the learning experience from OR performance was mentioned as one of the main advantages. A novel digital simulation tool for the case-based learning of various alignment philosophies in TKA surgery was developed and introduced. The simulation tool, together with the training courses, improved surgeon confidence and their ability to learn new alignment techniques in a stress-free out-of-theatre environment and to become more time efficient in making correct alignment decisions.
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spelling pubmed-99601842023-02-26 Digital TKA Alignment Training with a New Digital Simulation Tool (Knee-CAT) Improves Process Quality, Efficiency, and Confidence Graichen, Heiko Strauch, Marco Hirschmann, Michael T. Becker, Roland Lustig, Sébastien Clatworthy, Mark Jordaan, Jacobus Daniel Hazratwala, Kaushik von Eisenhart-Rothe, Rüdiger Giesinger, Karlmeinrad Calliess, Tilman J Pers Med Article Individual alignment techniques have been introduced to restore patients’ unique anatomical variations during total knee arthroplasty. The transition from conventional mechanical alignment to individualised approaches, with the assistance of computer and/or robotic technologies, is challenging. The objective of this study was to develop a digital training platform with real patient data to educate and simulate various modern alignment philosophies. The aim was to evaluate the training effect of the tool by measuring the process quality and efficiency, as well as the post-training surgeon’s confidence with new alignment philosophies. Based on 1000 data sets, a web-based interactive TKA computer navigation simulator (Knee-CAT) was developed. Quantitative decisions on bone cuts were linked to the extension and flexion gap values. Eleven different alignment workflows were introduced. A fully automatic evaluation system for each workflow, with a comparison function for all workflows, was implemented to increase the learning effect. The results of 40 surgeons with different experience levels using the platform were assessed. Initial data were analysed regarding process quality and efficiency and compared after two training courses. Process quality measured by the percentage of correct decisions was increased by the two training courses from 45% to 87.5%. The main reasons for failure were wrong decisions on the joint line, tibia slope, femoral rotation, and gap balancing. Efficiency was obtained with a reduction in time spent per exercise from 4 min 28 s to 2 min 35 s (42%) after the training courses. All volunteers rated the training tool as helpful or extremely helpful for learning new alignment philosophies. Separating the learning experience from OR performance was mentioned as one of the main advantages. A novel digital simulation tool for the case-based learning of various alignment philosophies in TKA surgery was developed and introduced. The simulation tool, together with the training courses, improved surgeon confidence and their ability to learn new alignment techniques in a stress-free out-of-theatre environment and to become more time efficient in making correct alignment decisions. MDPI 2023-01-26 /pmc/articles/PMC9960184/ /pubmed/36836448 http://dx.doi.org/10.3390/jpm13020213 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Graichen, Heiko
Strauch, Marco
Hirschmann, Michael T.
Becker, Roland
Lustig, Sébastien
Clatworthy, Mark
Jordaan, Jacobus Daniel
Hazratwala, Kaushik
von Eisenhart-Rothe, Rüdiger
Giesinger, Karlmeinrad
Calliess, Tilman
Digital TKA Alignment Training with a New Digital Simulation Tool (Knee-CAT) Improves Process Quality, Efficiency, and Confidence
title Digital TKA Alignment Training with a New Digital Simulation Tool (Knee-CAT) Improves Process Quality, Efficiency, and Confidence
title_full Digital TKA Alignment Training with a New Digital Simulation Tool (Knee-CAT) Improves Process Quality, Efficiency, and Confidence
title_fullStr Digital TKA Alignment Training with a New Digital Simulation Tool (Knee-CAT) Improves Process Quality, Efficiency, and Confidence
title_full_unstemmed Digital TKA Alignment Training with a New Digital Simulation Tool (Knee-CAT) Improves Process Quality, Efficiency, and Confidence
title_short Digital TKA Alignment Training with a New Digital Simulation Tool (Knee-CAT) Improves Process Quality, Efficiency, and Confidence
title_sort digital tka alignment training with a new digital simulation tool (knee-cat) improves process quality, efficiency, and confidence
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9960184/
https://www.ncbi.nlm.nih.gov/pubmed/36836448
http://dx.doi.org/10.3390/jpm13020213
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