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Robotic arm-assisted total knee arthroplasty improves preoperative planning and intraoperative decision-making

BACKGROUND: The reliability of robotic arm-assisted total knee arthroplasty (RA-TKA) has been previously reported. In this study, we evaluated the predictive accuracy of the RA-TKA system in determining the required bone resection and implant size preoperatively and its effect on intraoperative deci...

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Autores principales: Wan, Xufeng, Su, Qiang, Wang, Duan, Yuan, Mingcheng, Lai, Yahao, Xu, Hong, Zhou, Zongke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8591833/
https://www.ncbi.nlm.nih.gov/pubmed/34781977
http://dx.doi.org/10.1186/s13018-021-02815-6
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author Wan, Xufeng
Su, Qiang
Wang, Duan
Yuan, Mingcheng
Lai, Yahao
Xu, Hong
Zhou, Zongke
author_facet Wan, Xufeng
Su, Qiang
Wang, Duan
Yuan, Mingcheng
Lai, Yahao
Xu, Hong
Zhou, Zongke
author_sort Wan, Xufeng
collection PubMed
description BACKGROUND: The reliability of robotic arm-assisted total knee arthroplasty (RA-TKA) has been previously reported. In this study, we evaluated the predictive accuracy of the RA-TKA system in determining the required bone resection and implant size preoperatively and its effect on intraoperative decision-making. METHODS: Data on the outcomes of RA-TKA procedures performed in our department were prospectively collected. A three-dimensional model of the femur, tibia, and fibula was reconstructed using standard computed tomography (CT) images. The model was used preoperatively to predict bone required resection for the femur and tibia and implant size. Intraoperatively, the images were registered to the local anatomy to create a patient-specific model for decision-making, including real-time measurement of the medial-to-lateral difference in the extension/flexion gap and TKA component alignment. Differences between predicted and real bone resections and implant size were evaluated, and the post-TKA mechanical axis of the lower limb and difference in medial-to-lateral flexion/extension gap were measured. RESULTS: The analysis was based on the data of 28 patients who underwent TKA to treat severe osteoarthritis. The RA-TKA system successfully predicted the femoral and tibial component within one implant size in 28/28 cases (100%). For the 168 bone resections performed, including both femoral and tibial cuts, the resection was within 1 mm of the predicted value in 120/168 (71%) of the cuts. The actual versus predicted bone resection was statistically different only for the lateral tibial plateau (p = 0.018). The medial-to-lateral gap difference was between − 1 and 1 mm, except in one case. The achieved lower limb alignment was accurate overall, with the alignment being within < 1.0° of the neutral mechanical axis in 13/28 cases (46%) and within < 3.0° in 28/28 cases (100%). CONCLUSIONS: The RA-TKA system provided considerable pre- and intraoperative surgical assistance to achieve accurate bone resection, appropriate component sizing, and postoperative alignment after RA-TKA.
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spelling pubmed-85918332021-11-15 Robotic arm-assisted total knee arthroplasty improves preoperative planning and intraoperative decision-making Wan, Xufeng Su, Qiang Wang, Duan Yuan, Mingcheng Lai, Yahao Xu, Hong Zhou, Zongke J Orthop Surg Res Research Article BACKGROUND: The reliability of robotic arm-assisted total knee arthroplasty (RA-TKA) has been previously reported. In this study, we evaluated the predictive accuracy of the RA-TKA system in determining the required bone resection and implant size preoperatively and its effect on intraoperative decision-making. METHODS: Data on the outcomes of RA-TKA procedures performed in our department were prospectively collected. A three-dimensional model of the femur, tibia, and fibula was reconstructed using standard computed tomography (CT) images. The model was used preoperatively to predict bone required resection for the femur and tibia and implant size. Intraoperatively, the images were registered to the local anatomy to create a patient-specific model for decision-making, including real-time measurement of the medial-to-lateral difference in the extension/flexion gap and TKA component alignment. Differences between predicted and real bone resections and implant size were evaluated, and the post-TKA mechanical axis of the lower limb and difference in medial-to-lateral flexion/extension gap were measured. RESULTS: The analysis was based on the data of 28 patients who underwent TKA to treat severe osteoarthritis. The RA-TKA system successfully predicted the femoral and tibial component within one implant size in 28/28 cases (100%). For the 168 bone resections performed, including both femoral and tibial cuts, the resection was within 1 mm of the predicted value in 120/168 (71%) of the cuts. The actual versus predicted bone resection was statistically different only for the lateral tibial plateau (p = 0.018). The medial-to-lateral gap difference was between − 1 and 1 mm, except in one case. The achieved lower limb alignment was accurate overall, with the alignment being within < 1.0° of the neutral mechanical axis in 13/28 cases (46%) and within < 3.0° in 28/28 cases (100%). CONCLUSIONS: The RA-TKA system provided considerable pre- and intraoperative surgical assistance to achieve accurate bone resection, appropriate component sizing, and postoperative alignment after RA-TKA. BioMed Central 2021-11-15 /pmc/articles/PMC8591833/ /pubmed/34781977 http://dx.doi.org/10.1186/s13018-021-02815-6 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Research Article
Wan, Xufeng
Su, Qiang
Wang, Duan
Yuan, Mingcheng
Lai, Yahao
Xu, Hong
Zhou, Zongke
Robotic arm-assisted total knee arthroplasty improves preoperative planning and intraoperative decision-making
title Robotic arm-assisted total knee arthroplasty improves preoperative planning and intraoperative decision-making
title_full Robotic arm-assisted total knee arthroplasty improves preoperative planning and intraoperative decision-making
title_fullStr Robotic arm-assisted total knee arthroplasty improves preoperative planning and intraoperative decision-making
title_full_unstemmed Robotic arm-assisted total knee arthroplasty improves preoperative planning and intraoperative decision-making
title_short Robotic arm-assisted total knee arthroplasty improves preoperative planning and intraoperative decision-making
title_sort robotic arm-assisted total knee arthroplasty improves preoperative planning and intraoperative decision-making
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8591833/
https://www.ncbi.nlm.nih.gov/pubmed/34781977
http://dx.doi.org/10.1186/s13018-021-02815-6
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