Document Detail

pQCT bone strength index may serve as a better predictor than bone mineral density for long bone breaking strength.
MedLine Citation:
PMID:  12928834     Owner:  NLM     Status:  MEDLINE    
Bone mineral density (BMD) is commonly used to predict osteoporotic fracture risk without considering the geometry of the bone. However, geometric parameters are also important in determination of bone strength. An index including both material and geometric properties may be therefore more relevant in prediction of fracture risk. We studied the correlation between parameters measured by noninvasive peripheral quantitative computed tomography (pQCT) and bone bending strength of the diaphysis of 45 fresh goat humeri and 27 femora. Multislice pQCT was used for measuring volumetric diaphyseal cortical BMD, total BMD, diaphyseal and cortical cross-sectional area (CSA), and cross-sectional moment of inertia (CSMI) and their derived bone strength indices (BSIs), including BSI(CSMI) (cortical BMD x CSMI) and BSI(CSA) (cortical BMD x cortical CSA). Conventional dual-energy absorptiometry (DXA) was also conducted to measure areal BMD of diaphysis for comparison. Ultimate fracture load was obtained via three-point bending test. Results showed that for femora, fracture load was correlated better with BSI(CSA) ( r = 0.697, P < 0.001) than cortical BMD ( r = 0.304, P > 0.05) and total BMD ( r = 0.387, P > 0.05) measured using pQCT and areal BMD ( r = 0.612, P < 0.001) measured using DXA. For humeri, fracture load was also correlated with BSI(CSA) ( r = 0.579, P < 0.001) but not with other pQCT parameters including cortical BMD and total BMD ( r = 0.282 and 0.305, respectively; P > 0.05, both). The best correlation was found with areal BMD measured by DXA ( r = 0.760, P < 0.001). In conclusion, pQCT noninvasive BSI(CSA) derived from cortical BMD (material) and its cortical CSA (bone geometry or distribution) may serve as an important noninvasive index for predicting long bone bending strength. The bending strength was also predicted by bone mass (areal BMD) measured by DXA, an integration of bone mineral and geometry. Further clinical studies are needed to validate the predictive value of BSI in long bone osteoporotic fracture.
Wing Sum Siu; Ling Qin; Kwok Sui Leung
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Publication Detail:
Type:  Evaluation Studies; Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Journal of bone and mineral metabolism     Volume:  21     ISSN:  0914-8779     ISO Abbreviation:  J. Bone Miner. Metab.     Publication Date:  2003  
Date Detail:
Created Date:  2003-08-20     Completed Date:  2003-11-05     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  9436705     Medline TA:  J Bone Miner Metab     Country:  Japan    
Other Details:
Languages:  eng     Pagination:  316-22     Citation Subset:  IM    
Musculoskeletal Research Laboratory, Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Shatin, Hong Kong.
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MeSH Terms
Bone Density / physiology*
Femur / anatomy & histology,  physiology*,  radiography*
Fractures, Bone / physiopathology,  radiography
Goats / physiology
Humerus / anatomy & histology,  physiology*,  radiography*
Predictive Value of Tests
Tensile Strength / physiology*
Tomography, X-Ray Computed / methods*

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