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Combining areal DXA bone mineral density and vertebrae postero-anterior width improves the prediction of vertebral strength.

Tatoń G, Rokita E, Wróbel A, Korkosz M - Skeletal Radiol. (2013)

Bottom Line: The coefficients of correlation between P(max) and vBMD(min), vBMD(av), as well as BMAD, were r = 0.626 (p = 0.005), r = 0.610 (p = 0.006) and r = 0.567 (p = 0.012), respectively.Our results showed that aBMD normalized by vertebrae dimensions describes vertebrae BS better than aBMD alone.The considered indices vBMD(av), vBMD(min), and BMAD can be measured in routine PA DXA and considerably improve BS variability prediction. vBMD(min) is superior compared to vBMD(av) and BMAD.

View Article: PubMed Central - PubMed

Affiliation: Department of Biophysics, Jagiellonian University Medical College, Łazarza 16, 31530, Kraków, Poland, g.taton@uj.edu.pl.

ABSTRACT

Objective: Areal bone mineral density (aBMD) measured by dual-energy X-ray absorptiometry (DXA) is an important determinant of bone strength (BS), despite the fact that the correlation between aBMD and BS is relatively weak. Parameters that describe BS more accurately are desired. The aim of this study was to determine whether the geometrical corrections applied to aBMD would improve its ability for BS prediction. We considered new parameters, estimated from a single DXA measurement, as well as BMAD (bone mineral apparent density) reported in the literature.

Materials and methods: In vitro studies were performed with the L3 vertebrae from 20 cadavers, which were studied with DXA and quantitative computed tomography (QCT). A mechanical strength assessment was carried out. Two new parameters were introduced: vBMD(min) = aBMD/W(PA)(min) and vBMD(av) = aBMD/W(PA)(av) (W PA(min) -minimal vertebral body width in postero-anterior (PA) view, W(PA)(av) - average PA vertebral body width). Volumetric BMD measured by QCT (vBMD), aBMD, BMAD, vBMD(min), and vBMD(av) were correlated to ultimate load and ultimate stress (P(max)) to find the best predictor of vertebrae BS.

Results: The coefficients of correlation between P(max) and vBMD(min), vBMD(av), as well as BMAD, were r = 0.626 (p = 0.005), r = 0.610 (p = 0.006) and r = 0.567 (p = 0.012), respectively. Coefficients for vBMD and aBMD are r = 0.648 (p = 0.003) and r = 0.511 (p = 0.03), respectively.

Conclusions: Our results showed that aBMD normalized by vertebrae dimensions describes vertebrae BS better than aBMD alone. The considered indices vBMD(av), vBMD(min), and BMAD can be measured in routine PA DXA and considerably improve BS variability prediction. vBMD(min) is superior compared to vBMD(av) and BMAD.

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vBMD, vBMDmin, BMAD, and aBMD plotted as a function of ultimate load (Fmax). The fitted linear functions are presented. For parameters definitions, see Table 1. Correlation coefficients of presented dependencies are contained in Table 2
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Fig3: vBMD, vBMDmin, BMAD, and aBMD plotted as a function of ultimate load (Fmax). The fitted linear functions are presented. For parameters definitions, see Table 1. Correlation coefficients of presented dependencies are contained in Table 2

Mentions: The Pearson’s correlation coefficients of Fmax and Pmax to all considered indexes describing bone densities are presented in Tables 2 and 3. Calculated correlation coefficients revealed statistically significant linear correlations to both Fmax and Pmax (p < 0.05). The plots of estimated densities in function of Fmax and Pmax are presented in Figs. 3 and 4, respectively.Table 2


Combining areal DXA bone mineral density and vertebrae postero-anterior width improves the prediction of vertebral strength.

Tatoń G, Rokita E, Wróbel A, Korkosz M - Skeletal Radiol. (2013)

vBMD, vBMDmin, BMAD, and aBMD plotted as a function of ultimate load (Fmax). The fitted linear functions are presented. For parameters definitions, see Table 1. Correlation coefficients of presented dependencies are contained in Table 2
© Copyright Policy - OpenAccess
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3824230&req=5

Fig3: vBMD, vBMDmin, BMAD, and aBMD plotted as a function of ultimate load (Fmax). The fitted linear functions are presented. For parameters definitions, see Table 1. Correlation coefficients of presented dependencies are contained in Table 2
Mentions: The Pearson’s correlation coefficients of Fmax and Pmax to all considered indexes describing bone densities are presented in Tables 2 and 3. Calculated correlation coefficients revealed statistically significant linear correlations to both Fmax and Pmax (p < 0.05). The plots of estimated densities in function of Fmax and Pmax are presented in Figs. 3 and 4, respectively.Table 2

Bottom Line: The coefficients of correlation between P(max) and vBMD(min), vBMD(av), as well as BMAD, were r = 0.626 (p = 0.005), r = 0.610 (p = 0.006) and r = 0.567 (p = 0.012), respectively.Our results showed that aBMD normalized by vertebrae dimensions describes vertebrae BS better than aBMD alone.The considered indices vBMD(av), vBMD(min), and BMAD can be measured in routine PA DXA and considerably improve BS variability prediction. vBMD(min) is superior compared to vBMD(av) and BMAD.

View Article: PubMed Central - PubMed

Affiliation: Department of Biophysics, Jagiellonian University Medical College, Łazarza 16, 31530, Kraków, Poland, g.taton@uj.edu.pl.

ABSTRACT

Objective: Areal bone mineral density (aBMD) measured by dual-energy X-ray absorptiometry (DXA) is an important determinant of bone strength (BS), despite the fact that the correlation between aBMD and BS is relatively weak. Parameters that describe BS more accurately are desired. The aim of this study was to determine whether the geometrical corrections applied to aBMD would improve its ability for BS prediction. We considered new parameters, estimated from a single DXA measurement, as well as BMAD (bone mineral apparent density) reported in the literature.

Materials and methods: In vitro studies were performed with the L3 vertebrae from 20 cadavers, which were studied with DXA and quantitative computed tomography (QCT). A mechanical strength assessment was carried out. Two new parameters were introduced: vBMD(min) = aBMD/W(PA)(min) and vBMD(av) = aBMD/W(PA)(av) (W PA(min) -minimal vertebral body width in postero-anterior (PA) view, W(PA)(av) - average PA vertebral body width). Volumetric BMD measured by QCT (vBMD), aBMD, BMAD, vBMD(min), and vBMD(av) were correlated to ultimate load and ultimate stress (P(max)) to find the best predictor of vertebrae BS.

Results: The coefficients of correlation between P(max) and vBMD(min), vBMD(av), as well as BMAD, were r = 0.626 (p = 0.005), r = 0.610 (p = 0.006) and r = 0.567 (p = 0.012), respectively. Coefficients for vBMD and aBMD are r = 0.648 (p = 0.003) and r = 0.511 (p = 0.03), respectively.

Conclusions: Our results showed that aBMD normalized by vertebrae dimensions describes vertebrae BS better than aBMD alone. The considered indices vBMD(av), vBMD(min), and BMAD can be measured in routine PA DXA and considerably improve BS variability prediction. vBMD(min) is superior compared to vBMD(av) and BMAD.

Show MeSH