Cargando…
Experimental validation of a subject-specific finite element model of lumbar spine segment using digital image correlation
Pathologies such as cancer metastasis and osteoporosis strongly affect the mechanical properties of the vertebral bone and increase the risk of fragility fractures. The prediction of the fracture risk with a patient-specific model, directly generated from the diagnostic images of the patient, could...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9462677/ https://www.ncbi.nlm.nih.gov/pubmed/36084092 http://dx.doi.org/10.1371/journal.pone.0272529 |
_version_ | 1784787240037122048 |
---|---|
author | Garavelli, Chiara Curreli, Cristina Palanca, Marco Aldieri, Alessandra Cristofolini, Luca Viceconti, Marco |
author_facet | Garavelli, Chiara Curreli, Cristina Palanca, Marco Aldieri, Alessandra Cristofolini, Luca Viceconti, Marco |
author_sort | Garavelli, Chiara |
collection | PubMed |
description | Pathologies such as cancer metastasis and osteoporosis strongly affect the mechanical properties of the vertebral bone and increase the risk of fragility fractures. The prediction of the fracture risk with a patient-specific model, directly generated from the diagnostic images of the patient, could help the clinician in the choice of the correct therapy to follow. But before such models can be used to support any clinical decision, their credibility must be demonstrated through verification, validation, and uncertainty quantification. In this study we describe a procedure for the generation of such patient-specific finite element models and present a first validation of the kinematics of the spine segment. Quantitative computed tomography images of a cadaveric lumbar spine segment presenting vertebral metastatic lesions were used to generate the model. The applied boundary conditions replicated a specific experimental test where the spine segment was loaded in compression-flexion. Model predictions in terms of vertebral surface displacements were compared against the full-field experimental displacements measured with Digital Image Correlation. A good agreement was obtained from the local comparison between experimental data and simulation results (R(2) > 0.9 and RMSE% <8%). In conclusion, this work demonstrates the possibility to apply the developed modelling pipeline to predict the displacement field of human spine segment under physiological loading conditions, which is a first fundamental step in the credibility assessment of these clinical decision-support technology. |
format | Online Article Text |
id | pubmed-9462677 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-94626772022-09-10 Experimental validation of a subject-specific finite element model of lumbar spine segment using digital image correlation Garavelli, Chiara Curreli, Cristina Palanca, Marco Aldieri, Alessandra Cristofolini, Luca Viceconti, Marco PLoS One Research Article Pathologies such as cancer metastasis and osteoporosis strongly affect the mechanical properties of the vertebral bone and increase the risk of fragility fractures. The prediction of the fracture risk with a patient-specific model, directly generated from the diagnostic images of the patient, could help the clinician in the choice of the correct therapy to follow. But before such models can be used to support any clinical decision, their credibility must be demonstrated through verification, validation, and uncertainty quantification. In this study we describe a procedure for the generation of such patient-specific finite element models and present a first validation of the kinematics of the spine segment. Quantitative computed tomography images of a cadaveric lumbar spine segment presenting vertebral metastatic lesions were used to generate the model. The applied boundary conditions replicated a specific experimental test where the spine segment was loaded in compression-flexion. Model predictions in terms of vertebral surface displacements were compared against the full-field experimental displacements measured with Digital Image Correlation. A good agreement was obtained from the local comparison between experimental data and simulation results (R(2) > 0.9 and RMSE% <8%). In conclusion, this work demonstrates the possibility to apply the developed modelling pipeline to predict the displacement field of human spine segment under physiological loading conditions, which is a first fundamental step in the credibility assessment of these clinical decision-support technology. Public Library of Science 2022-09-09 /pmc/articles/PMC9462677/ /pubmed/36084092 http://dx.doi.org/10.1371/journal.pone.0272529 Text en © 2022 Garavelli et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://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 Garavelli, Chiara Curreli, Cristina Palanca, Marco Aldieri, Alessandra Cristofolini, Luca Viceconti, Marco Experimental validation of a subject-specific finite element model of lumbar spine segment using digital image correlation |
title | Experimental validation of a subject-specific finite element model of lumbar spine segment using digital image correlation |
title_full | Experimental validation of a subject-specific finite element model of lumbar spine segment using digital image correlation |
title_fullStr | Experimental validation of a subject-specific finite element model of lumbar spine segment using digital image correlation |
title_full_unstemmed | Experimental validation of a subject-specific finite element model of lumbar spine segment using digital image correlation |
title_short | Experimental validation of a subject-specific finite element model of lumbar spine segment using digital image correlation |
title_sort | experimental validation of a subject-specific finite element model of lumbar spine segment using digital image correlation |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9462677/ https://www.ncbi.nlm.nih.gov/pubmed/36084092 http://dx.doi.org/10.1371/journal.pone.0272529 |
work_keys_str_mv | AT garavellichiara experimentalvalidationofasubjectspecificfiniteelementmodeloflumbarspinesegmentusingdigitalimagecorrelation AT currelicristina experimentalvalidationofasubjectspecificfiniteelementmodeloflumbarspinesegmentusingdigitalimagecorrelation AT palancamarco experimentalvalidationofasubjectspecificfiniteelementmodeloflumbarspinesegmentusingdigitalimagecorrelation AT aldierialessandra experimentalvalidationofasubjectspecificfiniteelementmodeloflumbarspinesegmentusingdigitalimagecorrelation AT cristofoliniluca experimentalvalidationofasubjectspecificfiniteelementmodeloflumbarspinesegmentusingdigitalimagecorrelation AT vicecontimarco experimentalvalidationofasubjectspecificfiniteelementmodeloflumbarspinesegmentusingdigitalimagecorrelation |