Osteoporosis detection in postmenopausal women using axial transmission multi-frequency bone ultrasonometer: Clinical findings

Vladimir Egorov, Alexey Tatarinov, Noune Sarvazyan, Randee Wood, Leonid Magidenko, Shreyasee Amin, Sundeep Khosla, Richard J. Ruh, Jennifer M. Ruh, Armen Sarvazyan

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

The objective of this study was to evaluate if the Bone UltraSonic Scanner (BUSS) can detect osteoporosis in postmenopausal women. BUSS is an axial transmission multi-frequency ultrasonometer for acquisition of wave propagation profiles along the proximal anterior tibia. We derived 10 diagnostically significant BUSS parameters that were then compared with the DXA spine T-score, which was used in this study as the "gold standard" for the assessment of osteoporosis (T-score <-2.5). BUSS wave parameters were studied in 331 postmenopausal women examined by 9 trained operators at 3 clinical sites with use of 3 devices. The efficiency of each BUSS parameter in osteoporosis detection was assessed using a receiver operating characteristic curve analysis. Area under the curve (AUC) for each of 10 parameters ranged from 58.1% to 70.2%. Using these parameters a linear classifier was derived which provided at its output 83.0% AUC, 87.7% sensitivity and 63.2% specificity to DXA-identified osteoporosis. The results of this study confirm BUSS's capability to detect osteoporosis in postmenopausal women.

Original languageEnglish (US)
Pages (from-to)1170-1177
Number of pages8
JournalUltrasonics
Volume54
Issue number5
DOIs
StatePublished - Jul 2014

Keywords

  • Axial scanning
  • Bone quantitative ultrasound
  • Multi-frequency
  • Osteoporosis
  • Wave propagation parameters

ASJC Scopus subject areas

  • Acoustics and Ultrasonics

Fingerprint

Dive into the research topics of 'Osteoporosis detection in postmenopausal women using axial transmission multi-frequency bone ultrasonometer: Clinical findings'. Together they form a unique fingerprint.

Cite this