Document Detail


Fast trabecular bone strength predictions of HR-pQCT and individual trabeculae segmentation-based plate and rod finite element model discriminate postmenopausal vertebral fractures.
MedLine Citation:
PMID:  23456922     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Although high-resolution peripheral quantitative computed tomography (HR-pQCT) has advanced clinical assessment of trabecular bone microstructure, nonlinear microstructural finite element (µFE) prediction of yield strength using a HR-pQCT voxel model is impractical for clinical use due to its prohibitively high computational costs. The goal of this study was to develop an efficient HR-pQCT-based plate and rod (PR) modeling technique to fill the unmet clinical need for fast bone strength estimation. By using an individual trabecula segmentation (ITS) technique to segment the trabecular structure into individual plates and rods, a patient-specific PR model was implemented by modeling each trabecular plate with multiple shell elements and each rod with a beam element. To validate this modeling technique, predictions by HR-pQCT PR model were compared with those of the registered high-resolution micro-computed tomography (HR-µCT) voxel model of 19 trabecular subvolumes from human cadaveric tibia samples. Both the Young's modulus and yield strength of HR-pQCT PR models strongly correlated with those of µCT voxel models (r²  = 0.91 and 0.86). Notably, the HR-pQCT PR models achieved major reductions in element number (>40-fold) and computer central processing unit (CPU) time (>1200-fold). Then, we applied PR model µFE analysis to HR-pQCT images of 60 postmenopausal women with (n = 30) and without (n = 30) a history of vertebral fracture. HR-pQCT PR model revealed significantly lower Young's modulus and yield strength at the radius and tibia in fracture subjects compared to controls. Moreover, these mechanical measurements remained significantly lower in fracture subjects at both sites after adjustment for areal bone mineral density (aBMD) T-score at the ultradistal radius or total hip. In conclusion, we validated a novel HR-pQCT PR model of human trabecular bone against µCT voxel models and demonstrated its ability to discriminate vertebral fracture status in postmenopausal women. This accurate nonlinear µFE prediction of the HR-pQCT PR model, which requires only seconds of desktop computer time, has tremendous promise for clinical assessment of bone strength.
Authors:
X Sherry Liu; Ji Wang; Bin Zhou; Emily Stein; Xiutao Shi; Mark Adams; Elizabeth Shane; X Edward Guo
Publication Detail:
Type:  Journal Article; Randomized Controlled Trial; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research     Volume:  28     ISSN:  1523-4681     ISO Abbreviation:  J. Bone Miner. Res.     Publication Date:  2013 Jul 
Date Detail:
Created Date:  2013-06-19     Completed Date:  2013-11-04     Revised Date:  2014-07-02    
Medline Journal Info:
Nlm Unique ID:  8610640     Medline TA:  J Bone Miner Res     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1666-78     Citation Subset:  IM    
Copyright Information:
Copyright © 2013 American Society for Bone and Mineral Research.
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MeSH Terms
Descriptor/Qualifier:
Aged
Aged, 80 and over
Elastic Modulus*
Female
Finite Element Analysis
Humans
Male
Middle Aged
Models, Biological*
Postmenopause / metabolism
Radius* / metabolism,  radiography
Spinal Fractures* / metabolism,  radiography
Spine* / metabolism,  radiography
Tibia* / metabolism,  radiography
Tomography, X-Ray Computed / methods
Grant Support
ID/Acronym/Agency:
K23 DK084337/DK/NIDDK NIH HHS; K23 DK084337/DK/NIDDK NIH HHS; K24 AR052665/AR/NIAMS NIH HHS; R01 AR051376/AR/NIAMS NIH HHS; R01 AR051376/AR/NIAMS NIH HHS; R01 AR058004/AR/NIAMS NIH HHS; R01 AR058004/AR/NIAMS NIH HHS; R01 LM008635/LM/NLM NIH HHS; R01 LM008635/LM/NLM NIH HHS; R01 LM010016/LM/NLM NIH HHS; R01 LM010016/LM/NLM NIH HHS; U01 AR055068/AR/NIAMS NIH HHS; U01 AR055068/AR/NIAMS NIH HHS
Comments/Corrections

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