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...
Autores principales: | , , , , , |
---|---|
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 |