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Prediction of gap balancing based on 2-D radiography in total knee arthroplasty for knee osteoarthritis patients

BACKGROUND: To investigate the influence of osteophytes on postoperative gap balancing, and to work out a predictive model of the relationship between osteophyte size and gap gaining in primary total knee replacement. METHODS: One hundred and ten patients were enrolled in the study. Pre- and postope...

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Autores principales: Zhang, Zhuo, Luo, Yang, Zhang, Chong, Wang, Xin, Zhang, Tianwei, Zhang, Guoqiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10652581/
https://www.ncbi.nlm.nih.gov/pubmed/37968740
http://dx.doi.org/10.1186/s42836-023-00218-y
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author Zhang, Zhuo
Luo, Yang
Zhang, Chong
Wang, Xin
Zhang, Tianwei
Zhang, Guoqiang
author_facet Zhang, Zhuo
Luo, Yang
Zhang, Chong
Wang, Xin
Zhang, Tianwei
Zhang, Guoqiang
author_sort Zhang, Zhuo
collection PubMed
description BACKGROUND: To investigate the influence of osteophytes on postoperative gap balancing, and to work out a predictive model of the relationship between osteophyte size and gap gaining in primary total knee replacement. METHODS: One hundred and ten patients were enrolled in the study. Pre- and postoperative radiographs were collected and analyzed. They were assigned to the training dataset and test dataset randomly at a ratio of 9:1 by using the statistical package R (version 4.0.5). Size and marginal distances of osteophytes, planned bone cut planes, predicted bone cuts and joint gaps were labeled on the preoperative standing anteroposterior and lateral views, while actual bone cuts and joint gaps were recorded on the postoperative plain films, respectively. Statistical analysis was performed. RESULTS: Actual joint gaps were significantly related to the distances of medial and lateral predictive bone cutting lines, bone cut thickness on tibial side and posterior condylar, as well as size and marginal distances of osteophytes (P < 0.05). A predictive equation was generated, with a root mean square error (RMSE) of 3.4761 in validation. A 2-D planning system with adjustable input parameters and dim predictive outputs on joint gap was developed. The equation is [Formula: see text] CONCLUSION: Postoperative joint gap can be predicted on the basis of preoperative measurements on 2-D plain films. Larger sample size may help improve the effectiveness and accuracy of the predictive equation.
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spelling pubmed-106525812023-11-16 Prediction of gap balancing based on 2-D radiography in total knee arthroplasty for knee osteoarthritis patients Zhang, Zhuo Luo, Yang Zhang, Chong Wang, Xin Zhang, Tianwei Zhang, Guoqiang Arthroplasty Research BACKGROUND: To investigate the influence of osteophytes on postoperative gap balancing, and to work out a predictive model of the relationship between osteophyte size and gap gaining in primary total knee replacement. METHODS: One hundred and ten patients were enrolled in the study. Pre- and postoperative radiographs were collected and analyzed. They were assigned to the training dataset and test dataset randomly at a ratio of 9:1 by using the statistical package R (version 4.0.5). Size and marginal distances of osteophytes, planned bone cut planes, predicted bone cuts and joint gaps were labeled on the preoperative standing anteroposterior and lateral views, while actual bone cuts and joint gaps were recorded on the postoperative plain films, respectively. Statistical analysis was performed. RESULTS: Actual joint gaps were significantly related to the distances of medial and lateral predictive bone cutting lines, bone cut thickness on tibial side and posterior condylar, as well as size and marginal distances of osteophytes (P < 0.05). A predictive equation was generated, with a root mean square error (RMSE) of 3.4761 in validation. A 2-D planning system with adjustable input parameters and dim predictive outputs on joint gap was developed. The equation is [Formula: see text] CONCLUSION: Postoperative joint gap can be predicted on the basis of preoperative measurements on 2-D plain films. Larger sample size may help improve the effectiveness and accuracy of the predictive equation. BioMed Central 2023-11-16 /pmc/articles/PMC10652581/ /pubmed/37968740 http://dx.doi.org/10.1186/s42836-023-00218-y 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 Research
Zhang, Zhuo
Luo, Yang
Zhang, Chong
Wang, Xin
Zhang, Tianwei
Zhang, Guoqiang
Prediction of gap balancing based on 2-D radiography in total knee arthroplasty for knee osteoarthritis patients
title Prediction of gap balancing based on 2-D radiography in total knee arthroplasty for knee osteoarthritis patients
title_full Prediction of gap balancing based on 2-D radiography in total knee arthroplasty for knee osteoarthritis patients
title_fullStr Prediction of gap balancing based on 2-D radiography in total knee arthroplasty for knee osteoarthritis patients
title_full_unstemmed Prediction of gap balancing based on 2-D radiography in total knee arthroplasty for knee osteoarthritis patients
title_short Prediction of gap balancing based on 2-D radiography in total knee arthroplasty for knee osteoarthritis patients
title_sort prediction of gap balancing based on 2-d radiography in total knee arthroplasty for knee osteoarthritis patients
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10652581/
https://www.ncbi.nlm.nih.gov/pubmed/37968740
http://dx.doi.org/10.1186/s42836-023-00218-y
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