Yanni Cai
Parametrization of the Calcaneus and Medial Cuneiform to Aid Potential Advancements in Flatfoot Surgery
Cai, Yanni; Pascoletti, Giulia; Zioupos, Peter; Budair, Basil; Zanetti, Elisabetta M.; Ringrose, Trevor J.; Junaid, Sarah
Authors
Giulia Pascoletti
Professor Peter Zioupos P.Zioupos@hull.ac.uk
Professor of Biomedical Engineering
Basil Budair
Elisabetta M. Zanetti
Trevor J. Ringrose
Sarah Junaid
Abstract
Introduction: Flatfoot is a condition commonly seen in children; however, there is general disagreement over its incidence, characterization and correction. Painful flatfoot accompanied with musculoskeletal and soft tissue problems requires surgery to avoid arthritis in adulthood, the most common surgical approach being two osteotomies to the calcaneus and medial cuneiform bones of the foot. Objectives: This study focuses on the parametrization of these two bones to understand their bone morphology differences in a population sample among 23 normal subjects. Population differences could help in understanding whether bone shape may be an important factor in aiding surgical planning and outcomes. Methods: A total of 45 sets of CT scans of these subjects were used to generate surface meshes of the two bones and converted to be iso-topological meshes, simplifying the application of Generalized Procrustes Analysis and Principal Component Analysis, allowing the main sources of variation between the subjects to be quantified. Results: For the calcaneus, 16 Principal Components (PCs) and, for the medial cuneiform, 12 PCs were sufficient to describe 90% of the dataset variability. The quantitative and qualitative analyses confirm that for the calcaneus PC1 describes the Achilles attachment location and PC2 largely describes the anterior part of the bone. For the medial cuneiform, PC1 describes the medial part of the bone, while PC2 mainly describes the superior part. Conclusion: Most importantly, the PCs did not seem to describe the osteotomy sites for both bones, suggesting low population variability at the bone cutting points. Further studies are needed to evaluate how shape variability impacts surgical outcomes. Future implications could include better surgical planning and may pave the way for complex robotic surgeries to become a reality.
Citation
Cai, Y., Pascoletti, G., Zioupos, P., Budair, B., Zanetti, E. M., Ringrose, T. J., & Junaid, S. (2024). Parametrization of the Calcaneus and Medial Cuneiform to Aid Potential Advancements in Flatfoot Surgery. Life, 14(3), Article 328. https://doi.org/10.3390/life14030328
Journal Article Type | Article |
---|---|
Acceptance Date | Feb 27, 2024 |
Online Publication Date | Feb 29, 2024 |
Publication Date | Mar 1, 2024 |
Deposit Date | Mar 11, 2024 |
Publicly Available Date | Mar 12, 2024 |
Journal | Life |
Print ISSN | 2075-1729 |
Electronic ISSN | 2075-1729 |
Publisher | MDPI |
Peer Reviewed | Peer Reviewed |
Volume | 14 |
Issue | 3 |
Article Number | 328 |
DOI | https://doi.org/10.3390/life14030328 |
Keywords | Pes planus; Flatfoot; Principal component analysis; Parametrization; Calcaneus; Medial cuneiform |
Public URL | https://hull-repository.worktribe.com/output/4586199 |
Files
Published article
(4.4 Mb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by/4.0
Copyright Statement
© 2024 by the authors. 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/).
You might also like
Quantifying microcracks on fractured bone surfaces – Potential use in forensic anthropology
(2023)
Journal Article
Downloadable Citations
About Repository@Hull
Administrator e-mail: repository@hull.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search