Cargando…
Validation and Optimization of Proximal Femurs Microstructure Analysis Using High Field and Ultra-High Field MRI
Trabecular bone could be assessed non-invasively using MRI. However, MRI does not yet provide resolutions lower than trabecular thickness and a comparative analysis between different MRI sequences at different field strengths and X-ray microtomography (μCT) is still missing. In this study, we compar...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8466948/ https://www.ncbi.nlm.nih.gov/pubmed/34573945 http://dx.doi.org/10.3390/diagnostics11091603 |
_version_ | 1784573271258169344 |
---|---|
author | Soldati, Enrico Vicente, Jerome Guenoun, Daphne Bendahan, David Pithioux, Martine |
author_facet | Soldati, Enrico Vicente, Jerome Guenoun, Daphne Bendahan, David Pithioux, Martine |
author_sort | Soldati, Enrico |
collection | PubMed |
description | Trabecular bone could be assessed non-invasively using MRI. However, MRI does not yet provide resolutions lower than trabecular thickness and a comparative analysis between different MRI sequences at different field strengths and X-ray microtomography (μCT) is still missing. In this study, we compared bone microstructure parameters and bone mineral density (BMD) computed using various MRI approaches, i.e., turbo spin echo (TSE) and gradient recalled echo (GRE) images used at different magnetic fields, i.e., 7T and 3T. The corresponding parameters computed from μCT images and BMD derived from dual-energy X-ray absorptiometry (DXA) were used as the ground truth. The correlation between morphological parameters, BMD and fracture load assessed by mechanical compression tests was evaluated. Histomorphometric parameters showed a good agreement between 7T TSE and μCT, with 8% error for trabecular thickness with no significative statistical difference and a good intraclass correlation coefficient (ICC > 0.5) for all the extrapolated parameters. No correlation was found between DXA-BMD and all morphological parameters, except for trabecular interconnectivity (R(2) > 0.69). Good correlation (p-value < 0.05) was found between failure load and trabecular interconnectivity (R(2) > 0.79). These results suggest that MRI could be of interest for bone microstructure assessment. Moreover, the combination of morphological parameters and BMD could provide a more comprehensive view of bone quality. |
format | Online Article Text |
id | pubmed-8466948 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-84669482021-09-27 Validation and Optimization of Proximal Femurs Microstructure Analysis Using High Field and Ultra-High Field MRI Soldati, Enrico Vicente, Jerome Guenoun, Daphne Bendahan, David Pithioux, Martine Diagnostics (Basel) Article Trabecular bone could be assessed non-invasively using MRI. However, MRI does not yet provide resolutions lower than trabecular thickness and a comparative analysis between different MRI sequences at different field strengths and X-ray microtomography (μCT) is still missing. In this study, we compared bone microstructure parameters and bone mineral density (BMD) computed using various MRI approaches, i.e., turbo spin echo (TSE) and gradient recalled echo (GRE) images used at different magnetic fields, i.e., 7T and 3T. The corresponding parameters computed from μCT images and BMD derived from dual-energy X-ray absorptiometry (DXA) were used as the ground truth. The correlation between morphological parameters, BMD and fracture load assessed by mechanical compression tests was evaluated. Histomorphometric parameters showed a good agreement between 7T TSE and μCT, with 8% error for trabecular thickness with no significative statistical difference and a good intraclass correlation coefficient (ICC > 0.5) for all the extrapolated parameters. No correlation was found between DXA-BMD and all morphological parameters, except for trabecular interconnectivity (R(2) > 0.69). Good correlation (p-value < 0.05) was found between failure load and trabecular interconnectivity (R(2) > 0.79). These results suggest that MRI could be of interest for bone microstructure assessment. Moreover, the combination of morphological parameters and BMD could provide a more comprehensive view of bone quality. MDPI 2021-09-02 /pmc/articles/PMC8466948/ /pubmed/34573945 http://dx.doi.org/10.3390/diagnostics11091603 Text en © 2021 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 | Article Soldati, Enrico Vicente, Jerome Guenoun, Daphne Bendahan, David Pithioux, Martine Validation and Optimization of Proximal Femurs Microstructure Analysis Using High Field and Ultra-High Field MRI |
title | Validation and Optimization of Proximal Femurs Microstructure Analysis Using High Field and Ultra-High Field MRI |
title_full | Validation and Optimization of Proximal Femurs Microstructure Analysis Using High Field and Ultra-High Field MRI |
title_fullStr | Validation and Optimization of Proximal Femurs Microstructure Analysis Using High Field and Ultra-High Field MRI |
title_full_unstemmed | Validation and Optimization of Proximal Femurs Microstructure Analysis Using High Field and Ultra-High Field MRI |
title_short | Validation and Optimization of Proximal Femurs Microstructure Analysis Using High Field and Ultra-High Field MRI |
title_sort | validation and optimization of proximal femurs microstructure analysis using high field and ultra-high field mri |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8466948/ https://www.ncbi.nlm.nih.gov/pubmed/34573945 http://dx.doi.org/10.3390/diagnostics11091603 |
work_keys_str_mv | AT soldatienrico validationandoptimizationofproximalfemursmicrostructureanalysisusinghighfieldandultrahighfieldmri AT vicentejerome validationandoptimizationofproximalfemursmicrostructureanalysisusinghighfieldandultrahighfieldmri AT guenoundaphne validationandoptimizationofproximalfemursmicrostructureanalysisusinghighfieldandultrahighfieldmri AT bendahandavid validationandoptimizationofproximalfemursmicrostructureanalysisusinghighfieldandultrahighfieldmri AT pithiouxmartine validationandoptimizationofproximalfemursmicrostructureanalysisusinghighfieldandultrahighfieldmri |