» Articles » PMID: 39701108

Age- and Sex-Related Volumetric Density Differences in Trabecular and Cortical Bone of the Proximal Femur in Healthy Population

Abstract

Background: There are age- and sex-related increases in the prevalence of osteoporosis. Bone densitometry based on dual energy X-ray absorptiometry (DXA) is the gold standard for the assessment of bone mineral density (BMD). Three-dimensional (3D) analysis of the proximal femur (3D-DXA) allows discrimination between cortical and trabecular compartments, and it has shown a good correlation with computed tomography. We aimed to assess age- and sex-related volumetric density differences in trabecular and cortical bone using 3D-DXA and determine the reference intervals for integral volumetric (v)BMD within the Argentine population.

Methods: Healthy female and male adult subjects (N=1,354) from Argentina were included. Hip BMD was measured using DXA, and 3D analysis was performed using 3D-Shaper software. The integral vBMD, cortical surface BMD, and trabecular vBMD (trab vBMD) were measured.

Results: The study population included 73.9% women (N=1,001) and 26.13% men (N=353). We found a significant decrease in integral vBMD between 20 and 90 years in both sexes (women, -23.1%; men, -16.6%). Bone loss indicated in the integral vBMD results was mainly due to a decrease in trabecular bone in both sexes (women, -33.4%; men, -27.7%). The age-related loss of cortical bone density was less and was limited to the female population, without no age-related differences in men. Moreover, 3D-DXA allowed us to propose reference intervals for integral vBMD.

Conclusions: We found age- and sex-related bone loss between 20 and 90 years in an Argentine cohort via integral vBMD measurements using 3D-DXA, mainly due to decreases in trabecular bone in both sexes. The age-related loss of cortical bone density was less and was limited to the female population.

References
1.
Cooper C, Westlake S, Harvey N, Javaid K, Dennison E, Hanson M . Review: developmental origins of osteoporotic fracture. Osteoporos Int. 2005; 17(3):337-47. DOI: 10.1007/s00198-005-2039-5. View

2.
Brance M, Pons-Estel B, Quagliato N, Jorfen M, Berbotto G, Cortese N . Trabecular and cortical bone involvement in rheumatoid arthritis by DXA and DXA-based 3D modelling. Osteoporos Int. 2020; 32(4):705-714. DOI: 10.1007/s00198-020-05641-4. View

3.
Diaz Curiel M, Carrasco de la Pena J, Honorato Perez J, Perez Cano R, RAPADO A, Ruiz Martinez I . Study of bone mineral density in lumbar spine and femoral neck in a Spanish population. Multicentre Research Project on Osteoporosis. Osteoporos Int. 1997; 7(1):59-64. DOI: 10.1007/BF01623462. View

4.
Loffler M, Jacob A, Valentinitsch A, Rienmuller A, Zimmer C, Ryang Y . Improved prediction of incident vertebral fractures using opportunistic QCT compared to DXA. Eur Radiol. 2019; 29(9):4980-4989. PMC: 6682570. DOI: 10.1007/s00330-019-06018-w. View

5.
Lotz J, Cheal E, Hayes W . Stress distributions within the proximal femur during gait and falls: implications for osteoporotic fracture. Osteoporos Int. 1995; 5(4):252-61. DOI: 10.1007/BF01774015. View