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Achieving a Balanced Knee in Robotic TKA

Total knee arthroplasty (TKA) surgery with manual instruments provides a quantitatively balanced knee in approximately 50% of cases. This study examined the effect of combining robotics technology with real-time intra-operative sensor feedback on the number of quantitatively balanced cases in a cons...

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Autores principales: Gordon, Alexander C, Conditt, Michael A, Verstraete, Matthias A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7828562/
https://www.ncbi.nlm.nih.gov/pubmed/33451019
http://dx.doi.org/10.3390/s21020535
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author Gordon, Alexander C
Conditt, Michael A
Verstraete, Matthias A
author_facet Gordon, Alexander C
Conditt, Michael A
Verstraete, Matthias A
author_sort Gordon, Alexander C
collection PubMed
description Total knee arthroplasty (TKA) surgery with manual instruments provides a quantitatively balanced knee in approximately 50% of cases. This study examined the effect of combining robotics technology with real-time intra-operative sensor feedback on the number of quantitatively balanced cases in a consecutive series of 200 robotic-assisted primary TKAs. The robotics platform was used to plan the implant component position using correctable poses in extension and a manual, centrally pivoting the balancer in flexion, prior to committing to the femoral cuts. During the initial trialing, the quantitative state of balance was assessed using an instrumented tibial tray that measured the intra-articular loads in the medial and lateral compartments. These sensor readings informed a number of surgical corrections, including bone recuts, soft-tissue corrections, and cement adjustments. During initial trialing, a quantitatively balanced knee was achieved in only 65% of cases. After performing the relevant soft-tissue corrections, bone recuts, and cement adjustments, 87% of cases ended balanced through the range of motion. Meanwhile, this resulted in a wide range of coronal alignment conditions, ranging from 6° valgus to 9° varus. It is therefore concluded that gaps derived from robotics navigation are not indicative for a quantitatively balanced knee, which was only consistently achieved when combining the robotics platform with real-time feedback from intra-operative load sensors.
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spelling pubmed-78285622021-01-25 Achieving a Balanced Knee in Robotic TKA Gordon, Alexander C Conditt, Michael A Verstraete, Matthias A Sensors (Basel) Article Total knee arthroplasty (TKA) surgery with manual instruments provides a quantitatively balanced knee in approximately 50% of cases. This study examined the effect of combining robotics technology with real-time intra-operative sensor feedback on the number of quantitatively balanced cases in a consecutive series of 200 robotic-assisted primary TKAs. The robotics platform was used to plan the implant component position using correctable poses in extension and a manual, centrally pivoting the balancer in flexion, prior to committing to the femoral cuts. During the initial trialing, the quantitative state of balance was assessed using an instrumented tibial tray that measured the intra-articular loads in the medial and lateral compartments. These sensor readings informed a number of surgical corrections, including bone recuts, soft-tissue corrections, and cement adjustments. During initial trialing, a quantitatively balanced knee was achieved in only 65% of cases. After performing the relevant soft-tissue corrections, bone recuts, and cement adjustments, 87% of cases ended balanced through the range of motion. Meanwhile, this resulted in a wide range of coronal alignment conditions, ranging from 6° valgus to 9° varus. It is therefore concluded that gaps derived from robotics navigation are not indicative for a quantitatively balanced knee, which was only consistently achieved when combining the robotics platform with real-time feedback from intra-operative load sensors. MDPI 2021-01-13 /pmc/articles/PMC7828562/ /pubmed/33451019 http://dx.doi.org/10.3390/s21020535 Text en © 2021 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Gordon, Alexander C
Conditt, Michael A
Verstraete, Matthias A
Achieving a Balanced Knee in Robotic TKA
title Achieving a Balanced Knee in Robotic TKA
title_full Achieving a Balanced Knee in Robotic TKA
title_fullStr Achieving a Balanced Knee in Robotic TKA
title_full_unstemmed Achieving a Balanced Knee in Robotic TKA
title_short Achieving a Balanced Knee in Robotic TKA
title_sort achieving a balanced knee in robotic tka
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7828562/
https://www.ncbi.nlm.nih.gov/pubmed/33451019
http://dx.doi.org/10.3390/s21020535
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