scholarly journals Mineral density differences between femoral cortical bone and trabecular bone are not explained by turnover rate alone

Author(s):  
Chloé Lerebours ◽  
Richard Weinkamer ◽  
Andreas Roschger ◽  
Pascal R. Buenzli

AbstractBone mineral density distributions (BMDDs) are a measurable property of bone tissues that depends strongly on bone remodelling and mineralisation processes. These processes can vary significantly in health and disease and across skeletal sites, so there is high interest in analysing these processes from experimental BMDDs. Here, we propose a rigorous hypothesis-testing approach based on a mathematical model of mineral heterogeneity in bone due to remodelling and mineralisation, to help explain differences observed between the BMDD of human femoral cortical bone and the BMDD of human trabecular bone. Recent BMDD measurements show that femoral cortical bone possesses a higher bone mineral density, but a similar mineral heterogeneity around the mean compared to trabecular bone. By combining this data with the mathematical model, we are able to test whether this difference in BMDD can be explained by (i) differences in turnover rate; (ii) differences in osteoclast resorption behaviour; and (iii) differences in mineralisation kinetics between the two bone types. We find that accounting only for differences in turnover rate is inconsistent with the fact that both BMDDs have a similar spread around the mean, and that accounting for differences in osteoclast resorption behaviour leads to biologically inconsistent bone remodelling patterns. We conclude that the kinetics of mineral accumulation in bone matrix must therefore be different in femoral cortical bone and trabecular bone. Although both cortical and trabecular bone are made up of lamellar bone, the different mineralisation kinetics in the two types of bone point towards more profound structural differences than usually assumed.

Maturitas ◽  
2014 ◽  
Vol 79 (3) ◽  
pp. 299-305 ◽  
Author(s):  
Mª José Montoya ◽  
Mercè Giner ◽  
Cristina Miranda ◽  
Mª Angeles Vázquez ◽  
José R. Caeiro ◽  
...  

2011 ◽  
Vol 82 (1) ◽  
pp. 62-66 ◽  
Author(s):  
Mariana Marquezan ◽  
Thiago Chon Leon Lau ◽  
Claudia Trindade Mattos ◽  
Amanda Carneiro da Cunha ◽  
Lincoln Issamu Nojima ◽  
...  

Abstract Objective: To verify whether bone mineral density (BMD) of cortical bone, trabecular bone, and total bone influence the primary stability of orthodontic miniscrews and to verify whether there is a correlation between the measurement of BMD by cone-beam computed tomography (CBCT) and central dual-energy x-ray absorptiometry (DEXA). Materials and Methods: Twenty bovine bone sections were extracted from the pubic and iliac bones from regions with cortical thicknesses of approximately 1 mm. The BMD of the total bone block was evaluated using two methods: CBCT and DEXA. The BMD of cortical, trabecular, and total bone in the region of interest (ROI) were also evaluated by CBCT. After scanning the bone blocks, 20 self-drilling miniscrews (INP®) 1.4 mm in diameter and 6 mm long were inserted into them. The peak implant insertion torque (IT) was registered. After this, the pull-out test (PS) was performed and the maximum force registered. The Pearson correlation test was applied to verify the correlations between variables. Results: The BMD of the total bone block verified by CBCT and DEXA showed a positive and strong correlation (r  =  0.866, P  =  .000). The BMD of the ROI for cortical bone influenced the IT (r  =  0.518, P  =  .40) and the PS of miniscrews (r  =  0.713, P  =  .001, Table 2). However, the total bone BMD (verified by CBCT and DEXA) and trabecular bone BMD presented weak and not statistically significant correlations with primary stability. Conclusions: There was a positive correlation between total bone block BMD measured by DEXA and CBCT. The cortical BMD influenced the IT and PS.


2021 ◽  
Vol 104 (8) ◽  
pp. 1277-1284

Background: Ethnicity differentially modulate fracture risk prediction using FRAX™-bone mineral density (BMD). Objective: To compare FRAX™-BMD and trabecular bone score (TBS)-adjusted FRAX™ in the 10-year probability of fracture among Thai postmenopausal woman (PMW) with vertebral fracture (VF). Materials and Methods: The present study was a cross-sectional study conducted by retrospective review of medical records of PMW with VF older than 45 years undergoing lumbar and hip DXA scan. The authors excluded the PMW having been treated with metal implant at the spine, 3 or more lumbar VF, or cancer spreading to vertebral spine. The authors assessed the difference in means of normally distributed data by dependent sample t-test, the correlation between TBS and LS BMD by Pearson correlation, and the difference in proportions of PMW who met intervention threshold (IT) before and after TBS-adjusted FRAX™ by McNemar’s test. A p<0.05 was considered statistically significant. Results: Of the 119 patients, the mean age was 70.8±8.1 years. The mean 10-year probability of a hip fracture by TBS-adjusted FRAX™ was significantly higher than that by FRAX™-BMD with the mean difference of 0.44% (95% CI 0.13 to 0.76). The higher difference in means, using TBSadjusted FRAX™, was even significantly greater in the 10-year probability of major osteoporotic fractures. For either the IT of major osteoporotic fracture or hip fracture, TBS-adjusted FRAX™ resulted in four added PMWs who needed treatment, but without statistical significance. Conclusion: TBS-adjusted FRAX™ had a higher 10-year probability of fracture than FRAX™-BMD. Keywords: Trabecular bone score; FRAX™; Bone mineral density; Postmenopausal women; Osteoporosis


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. A638-A638
Author(s):  
Martin Kuzma ◽  
Peter Vanuga ◽  
Ivana Sagova ◽  
Dusan Pavai ◽  
Peter Jackuliak ◽  
...  

Abstract Introduction: Vertebral fractures (VFs) in patients with acromegaly are not associated with bone mineral density (BMD) decrease. Previous studies showed impaired trabecular bone parameters among acromegaly patients. However, recent studies suggest that cortical bone could also play a role in VF development. Objective: Evaluate the utility of dual energy x-ray absorptiometry (DXA) BMD and bone structural parameters to determine VF risk among acromegaly patients. Patients and Methods: A single-center two years prospective follow up of acromegaly patients regardless of age, gender, disease activity or associated treatments was conducted. Pituitary hormones, glucose metabolism and bone turnover markers in all subjects were assessed. Each subject had L1-4 spine, femoral neck (FN) and total hip (TH) BMD measured using DXA, and TBS measurement performed ± 7 days from blood sampling. 3D Shaper was used to assess proximal femur trabecular and cortical volumetric (v) BMD, cortical surface (s) BMD and cortical thickness (Cth). VF assessment was performed using the lateral spine imaging IVA™ mode with a Hologic Horizon® densitometer using semi-quantitative approach. Study outcomes were assessed at two time points - baseline and month 24. Results: Seventy subjects (34 M/36F), mean age 55.1 years, including 26 with active disease were studied. After two years a significant decrease in IGF-1 (-30%), osteocalcin (-18%) and TH cortical vBMD (-3%; all p≤0.05) was observed. During follow-up, 13 patients nine of them with controlled disease, developed VF; these patients had greater increase in CTx and decrease in TBS, sBMD, cortical and trabecular vBMD at TH and neck. Multivariate analysis of fracture prediction showed cortical vBMD at TH and neck as best parameters for fracture prediction with AUC 0.766 and 0.774; respectively. TBS was negatively associated with fasting plasma glucose (FPG), HBA1c at each time period. Conclusions: Decrease in cortical vBMD was the most sensitive and specific predictor of incident VF suggesting that cortical bone is involved in fracture development among acromegaly patients. In addition, TBS was strongly negatively associated with glucose metabolism, suggesting glucose intolerance could lead to trabecular bone impairment.


2020 ◽  
Author(s):  
R Lalruatfela ◽  
Rahul P Kotian ◽  
Nitika C Panakkal

Abstract Background: Bone mineral density scan (BMD) is a simple, non-invasive procedure used to assess the strength of the bones by measuring the composition of minerals mainly calcium in the bones. In this study, BMD was measured using Quantitative Computed Tomography (QCT) and Hounsfield unit (HU) in the lumbar spine and the values were correlated.Methods: 240 participants referred for CT Abdomen and CT Lumbar spine were scanned using 64 slice Brilliance CT. Using BMD software, three different vertebral bodies from L1-L3 were taken and ROI was placed at the central portion of the trabecular bone. Two references ROI one in retro spinal muscle and one in fat tissue was also placed. To measure CT attenuation value an ROI graphic tool was drawn at the trabecular bone. The average of BMD in QCT and HU value was taken from L1-L3. Pearson Correlation Coefficient was used to correlate QCT and HU values.Results: The mean BMD for the 21-40 age group was found to be 156.3 and 228.0 for QCT and HU respectively. Similarly, the mean BMD for 41-60 and 61-80 age groups was found to be 125.5, 173.6 and 109.1, 140.4 for QCT and HU respectively. The results showed a strong positive correlation between QCT and HU BMD (r = 0.94) with a p-value less than 0.001.Discussion: In our present study, 64.53% (n=155) were found to have normal BMD based on the WHO diagnostic category for spine BMD in QCT. Whereas 24.58% were found to have a low bone mass (osteopenia) and 10.83% were found to have osteoporosis. The equivalent mean HU was found to be 211.98 ±31.06, 139.64 ±18.58, 87.22 ±15.92 for normal, osteopenia and osteoporosis respectively.Conclusion: The study shows a strong correlation between QCT BMD with HU. Therefore, the CT attenuation technique can also be used to derive bone mineral density values from routine abdomen and lumbar spine MDCT for osteoporosis screening with no additional cost to the patient


2019 ◽  
Vol 25 ◽  
pp. 77-78
Author(s):  
Roxana Dusceac ◽  
Dan Niculescu ◽  
Madalina Sorohan ◽  
Ramona Dobre ◽  
Catalina Poiana

2017 ◽  
Author(s):  
Taryn Smith ◽  
Laura Tripkovic ◽  
Camilla Damsgaard ◽  
Christian Molgaard ◽  
Aine Hennessy ◽  
...  

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