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In vivo precision of three HR-pQCT-derived finite element models of the distal radius and tibia in postmenopausal women

BACKGROUND: The distal radius is the most common osteoporotic fracture site occurring in postmenopausal women. Finite element (FE) modeling is a non-invasive mathematical technique that can estimate bone strength using inputted geometry/micro-architecture and tissue material properties from computed...

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Autores principales: Kawalilak, C. E., Kontulainen, S. A., Amini, M. A., Lanovaz, J. L., Olszynski, W. P., Johnston, J. D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5020521/
https://www.ncbi.nlm.nih.gov/pubmed/27619649
http://dx.doi.org/10.1186/s12891-016-1238-x
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author Kawalilak, C. E.
Kontulainen, S. A.
Amini, M. A.
Lanovaz, J. L.
Olszynski, W. P.
Johnston, J. D.
author_facet Kawalilak, C. E.
Kontulainen, S. A.
Amini, M. A.
Lanovaz, J. L.
Olszynski, W. P.
Johnston, J. D.
author_sort Kawalilak, C. E.
collection PubMed
description BACKGROUND: The distal radius is the most common osteoporotic fracture site occurring in postmenopausal women. Finite element (FE) modeling is a non-invasive mathematical technique that can estimate bone strength using inputted geometry/micro-architecture and tissue material properties from computed tomographic images. Our first objective was to define and compare in vivo precision errors for three high-resolution peripheral quantitative computed tomography (HR-pQCT, XtremeCT; Scanco) based FE models of the distal radius and tibia in postmenopausal women. Our second objective was to assess the role of scan interval, scan quality, and common region on precision errors of outcomes for each FE model. METHODS: Models included: single-tissue model (STM), cortical-trabecular dual-tissue model (DTM), and one scaled model using imaged bone mineral density (E-BMD). Using HR-pQCT, we scanned the distal radius and tibia of 34 postmenopausal women (74 ± 7 years), at two time points. Primary outcomes included: tissue stiffness, apparent modulus, average von Mises stress, and failure load. Precision errors (root-mean-squared coefficient of variation, CV%(RMS)) were calculated. Multivariate ANOVA was used to compare the mean of individual CV% among the 3 HR-pQCT-based FE models. Spearman correlations were used to characterize the associations between precision errors of all FE model outcomes and scan/time interval, scan quality, and common region. Significance was accepted at P < 0.05. RESULTS: At the distal radius, CV%(RMS) precision errors were <9 % (Range STM: 2.8–5.3 %; DTM: 2.9–5.4 %; E-BMD: 4.4–8.7 %). At the distal tibia, CV%(RMS) precision errors were <6 % (Range STM: 2.7–4.8 %; DTM: 2.9–3.8 %; E-BMD: 1.8–2.5 %). At the radius, Spearman correlations indicated associations between the common region and associated precision errors of the E-BMD-derived apparent modulus (ρ = −0.392; P < 0.001) and von Mises stress (ρ = −0.297; P = 0.007). CONCLUSION: Results suggest that the STM and DTM are more precise for modeling apparent modulus, average von Mises stress, and failure load at the distal radius. Precision errors were comparable for all three models at the distal tibia. Results indicate that the noted differences in precision error at the distal radius were associated with the common scan region, illustrating the importance of participant repositioning within the cast and reference line placement in the scout view during the scanning process.
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spelling pubmed-50205212016-09-14 In vivo precision of three HR-pQCT-derived finite element models of the distal radius and tibia in postmenopausal women Kawalilak, C. E. Kontulainen, S. A. Amini, M. A. Lanovaz, J. L. Olszynski, W. P. Johnston, J. D. BMC Musculoskelet Disord Research Article BACKGROUND: The distal radius is the most common osteoporotic fracture site occurring in postmenopausal women. Finite element (FE) modeling is a non-invasive mathematical technique that can estimate bone strength using inputted geometry/micro-architecture and tissue material properties from computed tomographic images. Our first objective was to define and compare in vivo precision errors for three high-resolution peripheral quantitative computed tomography (HR-pQCT, XtremeCT; Scanco) based FE models of the distal radius and tibia in postmenopausal women. Our second objective was to assess the role of scan interval, scan quality, and common region on precision errors of outcomes for each FE model. METHODS: Models included: single-tissue model (STM), cortical-trabecular dual-tissue model (DTM), and one scaled model using imaged bone mineral density (E-BMD). Using HR-pQCT, we scanned the distal radius and tibia of 34 postmenopausal women (74 ± 7 years), at two time points. Primary outcomes included: tissue stiffness, apparent modulus, average von Mises stress, and failure load. Precision errors (root-mean-squared coefficient of variation, CV%(RMS)) were calculated. Multivariate ANOVA was used to compare the mean of individual CV% among the 3 HR-pQCT-based FE models. Spearman correlations were used to characterize the associations between precision errors of all FE model outcomes and scan/time interval, scan quality, and common region. Significance was accepted at P < 0.05. RESULTS: At the distal radius, CV%(RMS) precision errors were <9 % (Range STM: 2.8–5.3 %; DTM: 2.9–5.4 %; E-BMD: 4.4–8.7 %). At the distal tibia, CV%(RMS) precision errors were <6 % (Range STM: 2.7–4.8 %; DTM: 2.9–3.8 %; E-BMD: 1.8–2.5 %). At the radius, Spearman correlations indicated associations between the common region and associated precision errors of the E-BMD-derived apparent modulus (ρ = −0.392; P < 0.001) and von Mises stress (ρ = −0.297; P = 0.007). CONCLUSION: Results suggest that the STM and DTM are more precise for modeling apparent modulus, average von Mises stress, and failure load at the distal radius. Precision errors were comparable for all three models at the distal tibia. Results indicate that the noted differences in precision error at the distal radius were associated with the common scan region, illustrating the importance of participant repositioning within the cast and reference line placement in the scout view during the scanning process. BioMed Central 2016-09-13 /pmc/articles/PMC5020521/ /pubmed/27619649 http://dx.doi.org/10.1186/s12891-016-1238-x Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Kawalilak, C. E.
Kontulainen, S. A.
Amini, M. A.
Lanovaz, J. L.
Olszynski, W. P.
Johnston, J. D.
In vivo precision of three HR-pQCT-derived finite element models of the distal radius and tibia in postmenopausal women
title In vivo precision of three HR-pQCT-derived finite element models of the distal radius and tibia in postmenopausal women
title_full In vivo precision of three HR-pQCT-derived finite element models of the distal radius and tibia in postmenopausal women
title_fullStr In vivo precision of three HR-pQCT-derived finite element models of the distal radius and tibia in postmenopausal women
title_full_unstemmed In vivo precision of three HR-pQCT-derived finite element models of the distal radius and tibia in postmenopausal women
title_short In vivo precision of three HR-pQCT-derived finite element models of the distal radius and tibia in postmenopausal women
title_sort in vivo precision of three hr-pqct-derived finite element models of the distal radius and tibia in postmenopausal women
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5020521/
https://www.ncbi.nlm.nih.gov/pubmed/27619649
http://dx.doi.org/10.1186/s12891-016-1238-x
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