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Femoral antecurvation—A 3D CT Analysis of 1232 adult femurs

INTRODUCTION: For optimal treatment of femoral fractures, it is essential to understand the anatomical antecurvation of the human femur. Recent clinical studies have highlighted the problem of distal anterior encroachment or even perforation of the nail tip. The aim of this study was to accurately d...

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Autores principales: Thiesen, Darius M., Prange, Felix, Berger-Groch, Josephine, Ntalos, Dimitris, Petersik, Andreas, Hofstätter, Bernhard, Rueger, Johannes M., Klatte, Till O., Hartel, Maximilian J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6177158/
https://www.ncbi.nlm.nih.gov/pubmed/30300421
http://dx.doi.org/10.1371/journal.pone.0204961
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author Thiesen, Darius M.
Prange, Felix
Berger-Groch, Josephine
Ntalos, Dimitris
Petersik, Andreas
Hofstätter, Bernhard
Rueger, Johannes M.
Klatte, Till O.
Hartel, Maximilian J.
author_facet Thiesen, Darius M.
Prange, Felix
Berger-Groch, Josephine
Ntalos, Dimitris
Petersik, Andreas
Hofstätter, Bernhard
Rueger, Johannes M.
Klatte, Till O.
Hartel, Maximilian J.
author_sort Thiesen, Darius M.
collection PubMed
description INTRODUCTION: For optimal treatment of femoral fractures, it is essential to understand the anatomical antecurvation of the human femur. Recent clinical studies have highlighted the problem of distal anterior encroachment or even perforation of the nail tip. The aim of this study was to accurately describe the femoral antecurvation in a large cohort. Another objective was to identify the most important influences on femoral antecurvation, such as age, femur length, gender and ethnicity. METHODS: A three dimensional modelling and analytical technology was applied for the analysis of 1,232 femurs. Individual femoral antecurvation was precisely computed to determine whether gender, femur length, age, ethnicity or body mass index influence the radius of curvature (ROC). RESULTS: The calculated mean ROC for all femurs was 943 mm. The lowest ROC of 826 mm was found in female Asian femurs. A regression analysis demonstrated that age and femur length could predict the variability of the curvature, with femoral length as most powerful predictor. A matched pair subgroup analysis between Asians and Caucasians could not show any significant differences of ROC values. CONCLUSIONS: The mean radius of the femoral antecurvation may be smaller than previously reported revealing a significant mismatch between the actual individual anatomy and existing implants. In opposite to existing literature, this study suggests, that antecurvation differences between various ethnicities may exclusively be attributed to differences in femoral length and age. The findings of this study may be found helpful in the development of novel designs for intra- and extramedullary implants.
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spelling pubmed-61771582018-10-19 Femoral antecurvation—A 3D CT Analysis of 1232 adult femurs Thiesen, Darius M. Prange, Felix Berger-Groch, Josephine Ntalos, Dimitris Petersik, Andreas Hofstätter, Bernhard Rueger, Johannes M. Klatte, Till O. Hartel, Maximilian J. PLoS One Research Article INTRODUCTION: For optimal treatment of femoral fractures, it is essential to understand the anatomical antecurvation of the human femur. Recent clinical studies have highlighted the problem of distal anterior encroachment or even perforation of the nail tip. The aim of this study was to accurately describe the femoral antecurvation in a large cohort. Another objective was to identify the most important influences on femoral antecurvation, such as age, femur length, gender and ethnicity. METHODS: A three dimensional modelling and analytical technology was applied for the analysis of 1,232 femurs. Individual femoral antecurvation was precisely computed to determine whether gender, femur length, age, ethnicity or body mass index influence the radius of curvature (ROC). RESULTS: The calculated mean ROC for all femurs was 943 mm. The lowest ROC of 826 mm was found in female Asian femurs. A regression analysis demonstrated that age and femur length could predict the variability of the curvature, with femoral length as most powerful predictor. A matched pair subgroup analysis between Asians and Caucasians could not show any significant differences of ROC values. CONCLUSIONS: The mean radius of the femoral antecurvation may be smaller than previously reported revealing a significant mismatch between the actual individual anatomy and existing implants. In opposite to existing literature, this study suggests, that antecurvation differences between various ethnicities may exclusively be attributed to differences in femoral length and age. The findings of this study may be found helpful in the development of novel designs for intra- and extramedullary implants. Public Library of Science 2018-10-09 /pmc/articles/PMC6177158/ /pubmed/30300421 http://dx.doi.org/10.1371/journal.pone.0204961 Text en © 2018 Thiesen et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Thiesen, Darius M.
Prange, Felix
Berger-Groch, Josephine
Ntalos, Dimitris
Petersik, Andreas
Hofstätter, Bernhard
Rueger, Johannes M.
Klatte, Till O.
Hartel, Maximilian J.
Femoral antecurvation—A 3D CT Analysis of 1232 adult femurs
title Femoral antecurvation—A 3D CT Analysis of 1232 adult femurs
title_full Femoral antecurvation—A 3D CT Analysis of 1232 adult femurs
title_fullStr Femoral antecurvation—A 3D CT Analysis of 1232 adult femurs
title_full_unstemmed Femoral antecurvation—A 3D CT Analysis of 1232 adult femurs
title_short Femoral antecurvation—A 3D CT Analysis of 1232 adult femurs
title_sort femoral antecurvation—a 3d ct analysis of 1232 adult femurs
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6177158/
https://www.ncbi.nlm.nih.gov/pubmed/30300421
http://dx.doi.org/10.1371/journal.pone.0204961
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