Assessment of Bone Health in Men and Women Comparing DXA to Calcaneal Ultrasound

Abstract

The purpose of this study was to compare bone densitometry to quantitative ultrasound (QUS) and to assess gender differences in a young healthy population. Seventy-five active, aged-matched (^ 29 yrs) men (N = 29) and women (N = 46) were assessed for bone mineral density (BMD, g/sq cm) and broadband ultrasound attenuation (BUA, db/MHz). BMD of the total body, regional and lumbar spine was measured via dual-energy X-ray absorptiometry (DXA), and BUA was measured using the QUS-2TM ultrasonometer. Data analysis included Pearson product-moment to compare DXA to QUS, and receiver operating characteristic (ROC) curves and Kappa coefficients for discrimination of the two procedures. There was no significant gender difference in lumbar spine (LS) BMD. Regional and total body BMD and BUA were greater for men than women. Total body BMD (mean +/- SD) for men was 1.29 +/- 0.09 g/sq cm and for women was 1.22 +/- 0.07 g/sq cm. BUA (mean +/- SD) was 107.0 +/- 16.7 db/MHz vs. 97.8 +/- 11.6 db/MHz for men and women, respectively. All BMD sites except LS and pelvis were significantly correlated to BUA for men (r = 0.46-0.48), but only LS (r = 0.32) and arms (r = 0.30) were significantly correlated to BUA for women. Kappa coefficients ranged from - 0.09 to 0.17 for men, none of which were significant, and the range for women was 0.09 to 0.25 with pelvis and legs attaining significance. There was low percent agreement between QUS and DXA (28%-45% for men and 41%-50% for women), and the area under the curve (AUC) derived from ROC analysis resulted in little discrimination (AUC = 0.60-0.64). Our results showed little agreement between DXA and QUS; therefore, QUS would not be a surrogate indicator for the measurement of BMD by DXA. These results indicate that QUS measures different aspects of bone health and may complement the use of DXA.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2002
Accession Number
ADA408014

Entities

People

  • Bradley C. Nindl
  • G. A. Schneider
  • K. M. Scheehan
  • M. M. Murphy
  • R. K. Evans

Organizations

  • United States Army Research Institute of Environmental Medicine

Tags

DTIC Thesaurus Topics

  • Attenuation
  • Body Regions
  • Bone Fractures
  • Broadband
  • Coefficients
  • Data Analysis
  • Data Science
  • Discrimination
  • Health Services
  • Medical Personnel
  • Regression Analysis
  • Social Sciences
  • Spine
  • Statistical Analysis
  • Tissues
  • Ultrasounds
  • X Rays

Fields of Study

  • Medicine

Readers

  • Exercise and Sports Science.
  • Medical Imaging.
  • Women's Health and Cancer Risk Research: African American Women and Pregnancy Outcomes.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference