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Statistical Analyses of Femur Parameters for Designing Anatomical Plates
Femur parameters are key prerequisites for scientifically designing anatomical plates. Meanwhile, individual differences in femurs present a challenge to design well-fitting anatomical plates. Therefore, to design anatomical plates more scientifically, analyses of femur parameters with statistical m...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5156872/ https://www.ncbi.nlm.nih.gov/pubmed/28044087 http://dx.doi.org/10.1155/2016/1247560 |
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author | Wang, Lin He, Kunjin Chen, Zhengming |
author_facet | Wang, Lin He, Kunjin Chen, Zhengming |
author_sort | Wang, Lin |
collection | PubMed |
description | Femur parameters are key prerequisites for scientifically designing anatomical plates. Meanwhile, individual differences in femurs present a challenge to design well-fitting anatomical plates. Therefore, to design anatomical plates more scientifically, analyses of femur parameters with statistical methods were performed in this study. The specific steps were as follows. First, taking eight anatomical femur parameters as variables, 100 femur samples were classified into three classes with factor analysis and Q-type cluster analysis. Second, based on the mean parameter values of the three classes of femurs, three sizes of average anatomical plates corresponding to the three classes of femurs were designed. Finally, based on Bayes discriminant analysis, a new femur could be assigned to the proper class. Thereafter, the average anatomical plate suitable for that new femur was selected from the three available sizes of plates. Experimental results showed that the classification of femurs was quite reasonable based on the anatomical aspects of the femurs. For instance, three sizes of condylar buttress plates were designed. Meanwhile, 20 new femurs are judged to which classes the femurs belong. Thereafter, suitable condylar buttress plates were determined and selected. |
format | Online Article Text |
id | pubmed-5156872 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-51568722017-01-02 Statistical Analyses of Femur Parameters for Designing Anatomical Plates Wang, Lin He, Kunjin Chen, Zhengming Comput Math Methods Med Research Article Femur parameters are key prerequisites for scientifically designing anatomical plates. Meanwhile, individual differences in femurs present a challenge to design well-fitting anatomical plates. Therefore, to design anatomical plates more scientifically, analyses of femur parameters with statistical methods were performed in this study. The specific steps were as follows. First, taking eight anatomical femur parameters as variables, 100 femur samples were classified into three classes with factor analysis and Q-type cluster analysis. Second, based on the mean parameter values of the three classes of femurs, three sizes of average anatomical plates corresponding to the three classes of femurs were designed. Finally, based on Bayes discriminant analysis, a new femur could be assigned to the proper class. Thereafter, the average anatomical plate suitable for that new femur was selected from the three available sizes of plates. Experimental results showed that the classification of femurs was quite reasonable based on the anatomical aspects of the femurs. For instance, three sizes of condylar buttress plates were designed. Meanwhile, 20 new femurs are judged to which classes the femurs belong. Thereafter, suitable condylar buttress plates were determined and selected. Hindawi Publishing Corporation 2016 2016-12-01 /pmc/articles/PMC5156872/ /pubmed/28044087 http://dx.doi.org/10.1155/2016/1247560 Text en Copyright © 2016 Lin Wang et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Wang, Lin He, Kunjin Chen, Zhengming Statistical Analyses of Femur Parameters for Designing Anatomical Plates |
title | Statistical Analyses of Femur Parameters for Designing Anatomical Plates |
title_full | Statistical Analyses of Femur Parameters for Designing Anatomical Plates |
title_fullStr | Statistical Analyses of Femur Parameters for Designing Anatomical Plates |
title_full_unstemmed | Statistical Analyses of Femur Parameters for Designing Anatomical Plates |
title_short | Statistical Analyses of Femur Parameters for Designing Anatomical Plates |
title_sort | statistical analyses of femur parameters for designing anatomical plates |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5156872/ https://www.ncbi.nlm.nih.gov/pubmed/28044087 http://dx.doi.org/10.1155/2016/1247560 |
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