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Trabecular bone structure analysis of the spine using clinical MDCT: can it predict vertebral bone strength?

Baum, Thomas and Gräbeldinger, Martin and Räth, Christoph and Grande Garcia, Eduardo and Burgkart, Rainer and Patsch, Janina M. and Rummeny, Ernst J. and Link, Thomas M. and Bauer, Jan S. (2014) Trabecular bone structure analysis of the spine using clinical MDCT: can it predict vertebral bone strength? Journal of Bone and Mineral Metabolism, 32 (1), pp. 56-64. Springer. doi: 10.1007/s00774-013-0465-6. ISSN 0914-8779.

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Official URL: https://doi.org/10.1007/s00774-013-0465-6

Abstract

Recent technical improvements have made it possible to determine trabecular bone structure parameters of the spine using clinical multi-detector computed tomography (MDCT). Therefore, the purpose of this study was to analyze trabecular bone structure parameters obtained from clinical MDCT in relation to high resolution peripheral quantitative computed tomography (HR-pQCT) as a standard of reference and to investigate whether clinical MDCT can predict vertebral bone strength. Fourteen functional spinal segment units between T7 and L3 were harvested from 14 formalin-fixed human cadavers (11 women and 3 men; age 84 ± 10 years). All functional spinal segment units were examined using HR-pQCT (isotropic voxel size of 41 μm(3)) and a clinical whole-body MDCT (interpolated voxel size of 146 × 146 × 300 μm(3)). Trabecular bone structure analyses (histomorphometric and texture measures) were performed in the HR-pQCT as well as MDCT images. Vertebral failure load (FL) of the functional spinal segment units was determined in an uniaxial biomechanical test. The HR-pQCT and MDCT derived trabecular bone structure parameters showed correlations ranging from r = 0.60 to r = 0.90 (p < 0.05). Correlations between trabecular bone structure parameters and FL amounted up to r = 0.86 (p < 0.05) using the HR-pQCT images, and up to r = 0.79 (p < 0.05) using the MDCT images. Correlation coefficients of FL versus trabecular bone structure parameters obtained with HR-pQCT and MDCT were not significantly different (p > 0.05). In this cadaver model, the spatial resolution of clinically available whole-body MDCT scanners was suitable for trabecular bone structure analysis of the spine and to predict vertebral bone strength.

Item URL in elib:https://elib.dlr.de/95412/
Document Type:Article
Title:Trabecular bone structure analysis of the spine using clinical MDCT: can it predict vertebral bone strength?
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Baum, ThomasTechnische Universität München, GermanyUNSPECIFIEDUNSPECIFIED
Gräbeldinger, MartinUniversity of California, San Francisco, USAUNSPECIFIEDUNSPECIFIED
Räth, ChristophDLR Research Group Complex Plasma, OberpfaffenhofenUNSPECIFIEDUNSPECIFIED
Grande Garcia, EduardoUniversity of California, San Francisco, USAUNSPECIFIEDUNSPECIFIED
Burgkart, RainerUniversity of California, San Francisco, USAUNSPECIFIEDUNSPECIFIED
Patsch, Janina M.University of California, San Francisco, USAUNSPECIFIEDUNSPECIFIED
Rummeny, Ernst J.Technische Universität München, GermanyUNSPECIFIEDUNSPECIFIED
Link, Thomas M.University of California, San Francisco, USAUNSPECIFIEDUNSPECIFIED
Bauer, Jan S.Technische Universität München, GermanyUNSPECIFIEDUNSPECIFIED
Date:2014
Journal or Publication Title:Journal of Bone and Mineral Metabolism
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:32
DOI:10.1007/s00774-013-0465-6
Page Range:pp. 56-64
Publisher:Springer
ISSN:0914-8779
Status:Published
Keywords:Bone structure, bone stability, data analysis
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Research under Space Conditions
DLR - Research area:Raumfahrt
DLR - Program:R FR - Research under Space Conditions
DLR - Research theme (Project):R - Komplexe Plasmen / Data analysis (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Research Group Complex Plasma
Deposited By: Räth, Christoph
Deposited On:03 Mar 2015 09:33
Last Modified:13 Jun 2023 12:42

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