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Accuracy of on-site teleoperated milling with haptic assistance

PURPOSE: In bone surgery specialties, like orthopedics, neurosurgery, and oral and maxillofacial surgery patient safety and treatment success depends on the accurate implementation of computer-based surgical plans. Unintentional plan deviations can result in long-term functional damage to the patien...

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Autores principales: Drobinsky, Sergey, de la Fuente, Matías, Puladi, Behrus, Radermacher, Klaus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10589197/
https://www.ncbi.nlm.nih.gov/pubmed/37454325
http://dx.doi.org/10.1007/s11548-023-02983-2
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author Drobinsky, Sergey
de la Fuente, Matías
Puladi, Behrus
Radermacher, Klaus
author_facet Drobinsky, Sergey
de la Fuente, Matías
Puladi, Behrus
Radermacher, Klaus
author_sort Drobinsky, Sergey
collection PubMed
description PURPOSE: In bone surgery specialties, like orthopedics, neurosurgery, and oral and maxillofacial surgery patient safety and treatment success depends on the accurate implementation of computer-based surgical plans. Unintentional plan deviations can result in long-term functional damage to the patient. With on-site teleoperation, the surgeon operates a slave robot with a physically-decoupled master device, while being directly present at the operation site. This allows the surgeon to perform surgical tasks with robotic accuracy, while always remaining in the control loop. METHODS: In this study the master- and slave-side accuracy of an on-site teleoperated miniature cooperative robot (minaroHD) is evaluated. Master-side accuracy is investigated in a user study regarding scale factor, target feed rate, movement direction and haptic guidance stiffness. Scale factors are chosen to correspond to primarily finger, hand, and arm movements. Slave-side accuracy is investigated in autonomous milling trials regarding stepover, feed rate, movement direction, and material density. RESULTS: Master-side user input errors increase with increasing target feed rate and scale factor, and decrease with increasing haptic guidance stiffness. Resulting slave-side errors decrease with increasing scale factor and are < 0.07 mm for optimal guidance parameters. Slave-side robot position errors correlate with the feed rate but show little correlation with stepover distance. For optimal milling parameters, the 95th percentile of tracked slave-side position error is 0.086 mm with a maximal error of 0.16 mm. CONCLUSION: For optimal guidance and milling parameters, the combined error of 0.23 mm is in the range of the dura mater thickness (< 0.27 mm) or mandibular canal wall (~ 0.85 mm). This corresponds to safety margins in high-demand surgical procedures like craniotomies, laminectomies, or decortication of the jaw. However, for further clinical translation, the performance and usability of on-site teleoperated milling must be further evaluated for real-life clinical application examples with consideration of all error sources in a computer-assisted surgery workflow.
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spelling pubmed-105891972023-10-22 Accuracy of on-site teleoperated milling with haptic assistance Drobinsky, Sergey de la Fuente, Matías Puladi, Behrus Radermacher, Klaus Int J Comput Assist Radiol Surg Original Article PURPOSE: In bone surgery specialties, like orthopedics, neurosurgery, and oral and maxillofacial surgery patient safety and treatment success depends on the accurate implementation of computer-based surgical plans. Unintentional plan deviations can result in long-term functional damage to the patient. With on-site teleoperation, the surgeon operates a slave robot with a physically-decoupled master device, while being directly present at the operation site. This allows the surgeon to perform surgical tasks with robotic accuracy, while always remaining in the control loop. METHODS: In this study the master- and slave-side accuracy of an on-site teleoperated miniature cooperative robot (minaroHD) is evaluated. Master-side accuracy is investigated in a user study regarding scale factor, target feed rate, movement direction and haptic guidance stiffness. Scale factors are chosen to correspond to primarily finger, hand, and arm movements. Slave-side accuracy is investigated in autonomous milling trials regarding stepover, feed rate, movement direction, and material density. RESULTS: Master-side user input errors increase with increasing target feed rate and scale factor, and decrease with increasing haptic guidance stiffness. Resulting slave-side errors decrease with increasing scale factor and are < 0.07 mm for optimal guidance parameters. Slave-side robot position errors correlate with the feed rate but show little correlation with stepover distance. For optimal milling parameters, the 95th percentile of tracked slave-side position error is 0.086 mm with a maximal error of 0.16 mm. CONCLUSION: For optimal guidance and milling parameters, the combined error of 0.23 mm is in the range of the dura mater thickness (< 0.27 mm) or mandibular canal wall (~ 0.85 mm). This corresponds to safety margins in high-demand surgical procedures like craniotomies, laminectomies, or decortication of the jaw. However, for further clinical translation, the performance and usability of on-site teleoperated milling must be further evaluated for real-life clinical application examples with consideration of all error sources in a computer-assisted surgery workflow. Springer International Publishing 2023-07-16 2023 /pmc/articles/PMC10589197/ /pubmed/37454325 http://dx.doi.org/10.1007/s11548-023-02983-2 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/) .
spellingShingle Original Article
Drobinsky, Sergey
de la Fuente, Matías
Puladi, Behrus
Radermacher, Klaus
Accuracy of on-site teleoperated milling with haptic assistance
title Accuracy of on-site teleoperated milling with haptic assistance
title_full Accuracy of on-site teleoperated milling with haptic assistance
title_fullStr Accuracy of on-site teleoperated milling with haptic assistance
title_full_unstemmed Accuracy of on-site teleoperated milling with haptic assistance
title_short Accuracy of on-site teleoperated milling with haptic assistance
title_sort accuracy of on-site teleoperated milling with haptic assistance
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10589197/
https://www.ncbi.nlm.nih.gov/pubmed/37454325
http://dx.doi.org/10.1007/s11548-023-02983-2
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