Cargando…

A novel technique to assess rotational deformities in lower extremities using CT-based motion analysis

Rotational deformities following intramedullary (IM) nailing of tibia has a reported incidence of as high as 20%. Common techniques to measure deformities following IM nailing of tibia are either based on clinical assessment, plain X-rays or Computed Tomography (CT) comparing the treated leg with th...

Descripción completa

Detalles Bibliográficos
Autores principales: Bakhshayesh, Peyman, Ihediwa, Ugwunna, Sandher, Sukha, Vris, Alexandros, Heidari, Nima, Enocson, Anders
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8548303/
https://www.ncbi.nlm.nih.gov/pubmed/34702869
http://dx.doi.org/10.1038/s41598-021-00532-y
_version_ 1784590543842443264
author Bakhshayesh, Peyman
Ihediwa, Ugwunna
Sandher, Sukha
Vris, Alexandros
Heidari, Nima
Enocson, Anders
author_facet Bakhshayesh, Peyman
Ihediwa, Ugwunna
Sandher, Sukha
Vris, Alexandros
Heidari, Nima
Enocson, Anders
author_sort Bakhshayesh, Peyman
collection PubMed
description Rotational deformities following intramedullary (IM) nailing of tibia has a reported incidence of as high as 20%. Common techniques to measure deformities following IM nailing of tibia are either based on clinical assessment, plain X-rays or Computed Tomography (CT) comparing the treated leg with the uninjured contralateral side. All these techniques are based on examiners manual calculation inherently subject to bias. Following our previous rigorous motion analysis and symmetry studies on hemi pelvises, femurs and orthopaedic implants, we aimed to introduce a novel fully digital technique to measure rotational deformities in the lower legs. Following formal institutional approval from the Imperial College, CT images of 10 pairs of human lower legs were retrieved. Images were anonymized and uploaded to a research server. Three dimensional CT images of the lower legs were bilaterally reconstructed. CT-based motion analysis (CTMA) was used and the mirrored images of the left side were merged with the right side proximally as stationary and distally as moving objects. Discrepancies in translation and rotation were automatically calculated. Our study population had a mean age of 54 ± 20 years. There were six males and four females. We observed a greater variation in translation (mm) of Centre of Mass (COM) in sagittal plane (95% CI − 2.959–.292) which was also presented as rotational difference alongside the antero-posterior direction or Y axis (95% CI .370–1.035). In other word the right lower legs in our study were more likely to be in varus compared to the left side. However, there were no statistically significant differences in coronal or axial planes. Using our proposed fully digital technique we found that lower legs of the human adults were symmetrical in axial and coronal plane. We found sagittal plane differences which need further addressing in future using bigger sample size. Our novel recommended technique is fully digital and commercially available. This new technique can be useful in clinical practice addressing rotational deformities following orthopaedic surgical intervention. This new technique can substitute the previously introduced techniques.
format Online
Article
Text
id pubmed-8548303
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-85483032021-10-27 A novel technique to assess rotational deformities in lower extremities using CT-based motion analysis Bakhshayesh, Peyman Ihediwa, Ugwunna Sandher, Sukha Vris, Alexandros Heidari, Nima Enocson, Anders Sci Rep Article Rotational deformities following intramedullary (IM) nailing of tibia has a reported incidence of as high as 20%. Common techniques to measure deformities following IM nailing of tibia are either based on clinical assessment, plain X-rays or Computed Tomography (CT) comparing the treated leg with the uninjured contralateral side. All these techniques are based on examiners manual calculation inherently subject to bias. Following our previous rigorous motion analysis and symmetry studies on hemi pelvises, femurs and orthopaedic implants, we aimed to introduce a novel fully digital technique to measure rotational deformities in the lower legs. Following formal institutional approval from the Imperial College, CT images of 10 pairs of human lower legs were retrieved. Images were anonymized and uploaded to a research server. Three dimensional CT images of the lower legs were bilaterally reconstructed. CT-based motion analysis (CTMA) was used and the mirrored images of the left side were merged with the right side proximally as stationary and distally as moving objects. Discrepancies in translation and rotation were automatically calculated. Our study population had a mean age of 54 ± 20 years. There were six males and four females. We observed a greater variation in translation (mm) of Centre of Mass (COM) in sagittal plane (95% CI − 2.959–.292) which was also presented as rotational difference alongside the antero-posterior direction or Y axis (95% CI .370–1.035). In other word the right lower legs in our study were more likely to be in varus compared to the left side. However, there were no statistically significant differences in coronal or axial planes. Using our proposed fully digital technique we found that lower legs of the human adults were symmetrical in axial and coronal plane. We found sagittal plane differences which need further addressing in future using bigger sample size. Our novel recommended technique is fully digital and commercially available. This new technique can be useful in clinical practice addressing rotational deformities following orthopaedic surgical intervention. This new technique can substitute the previously introduced techniques. Nature Publishing Group UK 2021-10-26 /pmc/articles/PMC8548303/ /pubmed/34702869 http://dx.doi.org/10.1038/s41598-021-00532-y Text en © The Author(s) 2021 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 Article
Bakhshayesh, Peyman
Ihediwa, Ugwunna
Sandher, Sukha
Vris, Alexandros
Heidari, Nima
Enocson, Anders
A novel technique to assess rotational deformities in lower extremities using CT-based motion analysis
title A novel technique to assess rotational deformities in lower extremities using CT-based motion analysis
title_full A novel technique to assess rotational deformities in lower extremities using CT-based motion analysis
title_fullStr A novel technique to assess rotational deformities in lower extremities using CT-based motion analysis
title_full_unstemmed A novel technique to assess rotational deformities in lower extremities using CT-based motion analysis
title_short A novel technique to assess rotational deformities in lower extremities using CT-based motion analysis
title_sort novel technique to assess rotational deformities in lower extremities using ct-based motion analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8548303/
https://www.ncbi.nlm.nih.gov/pubmed/34702869
http://dx.doi.org/10.1038/s41598-021-00532-y
work_keys_str_mv AT bakhshayeshpeyman anoveltechniquetoassessrotationaldeformitiesinlowerextremitiesusingctbasedmotionanalysis
AT ihediwaugwunna anoveltechniquetoassessrotationaldeformitiesinlowerextremitiesusingctbasedmotionanalysis
AT sandhersukha anoveltechniquetoassessrotationaldeformitiesinlowerextremitiesusingctbasedmotionanalysis
AT vrisalexandros anoveltechniquetoassessrotationaldeformitiesinlowerextremitiesusingctbasedmotionanalysis
AT heidarinima anoveltechniquetoassessrotationaldeformitiesinlowerextremitiesusingctbasedmotionanalysis
AT enocsonanders anoveltechniquetoassessrotationaldeformitiesinlowerextremitiesusingctbasedmotionanalysis
AT bakhshayeshpeyman noveltechniquetoassessrotationaldeformitiesinlowerextremitiesusingctbasedmotionanalysis
AT ihediwaugwunna noveltechniquetoassessrotationaldeformitiesinlowerextremitiesusingctbasedmotionanalysis
AT sandhersukha noveltechniquetoassessrotationaldeformitiesinlowerextremitiesusingctbasedmotionanalysis
AT vrisalexandros noveltechniquetoassessrotationaldeformitiesinlowerextremitiesusingctbasedmotionanalysis
AT heidarinima noveltechniquetoassessrotationaldeformitiesinlowerextremitiesusingctbasedmotionanalysis
AT enocsonanders noveltechniquetoassessrotationaldeformitiesinlowerextremitiesusingctbasedmotionanalysis