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Gait Analysis to Monitor Fracture Healing of the Lower Leg
Fracture healing is typically monitored by infrequent radiographs. Radiographs come at the cost of radiation exposure and reflect fracture healing with a time lag due to delayed fracture mineralization following increases in stiffness. Since union problems frequently occur after fractures, better an...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9952799/ https://www.ncbi.nlm.nih.gov/pubmed/36829749 http://dx.doi.org/10.3390/bioengineering10020255 |
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author | Warmerdam, Elke Orth, Marcel Pohlemann, Tim Ganse, Bergita |
author_facet | Warmerdam, Elke Orth, Marcel Pohlemann, Tim Ganse, Bergita |
author_sort | Warmerdam, Elke |
collection | PubMed |
description | Fracture healing is typically monitored by infrequent radiographs. Radiographs come at the cost of radiation exposure and reflect fracture healing with a time lag due to delayed fracture mineralization following increases in stiffness. Since union problems frequently occur after fractures, better and timelier methods to monitor the healing process are required. In this review, we provide an overview of the changes in gait parameters following lower leg fractures to investigate whether gait analysis can be used to monitor fracture healing. Studies assessing gait after lower leg fractures that were treated either surgically or conservatively were included. Spatiotemporal gait parameters, kinematics, kinetics, and pedography showed improvements in the gait pattern throughout the healing process of lower leg fractures. Especially gait speed and asymmetry measures have a high potential to monitor fracture healing. Pedographic measurements showed differences in gait between patients with and without union. No literature was available for other gait measures, but it is expected that further parameters reflect progress in bone healing. In conclusion, gait analysis seems to be a valuable tool for monitoring the healing process and predicting the occurrence of non-union of lower leg fractures. |
format | Online Article Text |
id | pubmed-9952799 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99527992023-02-25 Gait Analysis to Monitor Fracture Healing of the Lower Leg Warmerdam, Elke Orth, Marcel Pohlemann, Tim Ganse, Bergita Bioengineering (Basel) Review Fracture healing is typically monitored by infrequent radiographs. Radiographs come at the cost of radiation exposure and reflect fracture healing with a time lag due to delayed fracture mineralization following increases in stiffness. Since union problems frequently occur after fractures, better and timelier methods to monitor the healing process are required. In this review, we provide an overview of the changes in gait parameters following lower leg fractures to investigate whether gait analysis can be used to monitor fracture healing. Studies assessing gait after lower leg fractures that were treated either surgically or conservatively were included. Spatiotemporal gait parameters, kinematics, kinetics, and pedography showed improvements in the gait pattern throughout the healing process of lower leg fractures. Especially gait speed and asymmetry measures have a high potential to monitor fracture healing. Pedographic measurements showed differences in gait between patients with and without union. No literature was available for other gait measures, but it is expected that further parameters reflect progress in bone healing. In conclusion, gait analysis seems to be a valuable tool for monitoring the healing process and predicting the occurrence of non-union of lower leg fractures. MDPI 2023-02-15 /pmc/articles/PMC9952799/ /pubmed/36829749 http://dx.doi.org/10.3390/bioengineering10020255 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Warmerdam, Elke Orth, Marcel Pohlemann, Tim Ganse, Bergita Gait Analysis to Monitor Fracture Healing of the Lower Leg |
title | Gait Analysis to Monitor Fracture Healing of the Lower Leg |
title_full | Gait Analysis to Monitor Fracture Healing of the Lower Leg |
title_fullStr | Gait Analysis to Monitor Fracture Healing of the Lower Leg |
title_full_unstemmed | Gait Analysis to Monitor Fracture Healing of the Lower Leg |
title_short | Gait Analysis to Monitor Fracture Healing of the Lower Leg |
title_sort | gait analysis to monitor fracture healing of the lower leg |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9952799/ https://www.ncbi.nlm.nih.gov/pubmed/36829749 http://dx.doi.org/10.3390/bioengineering10020255 |
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