Journal of Clinical Densitometry
Volume 11, Issue 4 , Pages 485-493.e3 , October 2008

Using Risk Factors and Quantitative Ultrasound to Identify Postmenopausal Caucasian Women at Risk of Osteoporosis

  • Enda Minnock

      Affiliations

    • Biomechanics Laboratories, Department of Materials and Applied Science, Cranfield University, Swindon, UK
    • ,
  • Richard Cook

      Affiliations

    • Department of Oral Rehabilitation, School of Dentistry, Otago University, Dunedin, New Zealand
    • ,
  • David Collins

      Affiliations

    • Department of Rheumatology, Great Western Hospital, Swindon, UK
    • ,
  • Julie Tucker

      Affiliations

    • Department of Radiology, Great Western Hospital, Swindon, UK
    • ,
  • Peter Zioupos

      Affiliations

    • Biomechanics Laboratories, Department of Materials and Applied Science, Cranfield University, Swindon, UK
    • Corresponding Author InformationAddress correspondence to: Dr. Peter Zioupos, Materials and Applied Science, Cranfield University, DCMT, Shrivenham, Swindon, Wiltshire SN6 8LA, United Kingdom.

Received 11 January 2008 ,Revised 4 April 2008 ,Accepted 7 April 2008.

References 

  1. National Osteoporosis Society 2005 Bone densitometry (DXA) provision in England—report. Available at: http://www.nos.org.uk/. Accessed January 9, 2008.
  2. Koh LKH, Ben Sedrine W, Torralba TP, et al. A simple tool to identify Asian women at increased risk of osteoporosis. Osteoporos Int. 2001;12:699–705
  3. Lydick E, Cook K, Turpin J, et al. Development and validation of a simple questionnaire to facilitate identification of women likely to have low bone density. Am J Manag Care. 1998;4:37–48
  4. Cadarette SM, Jaglal SB, Kreiger N, et al. Development and validation of the Osteoporosis Risk Assessment Instrument to facilitate selection of women for bone densitometry. CMAJ. 2000;162:1289–1294
  5. Sedrine WB, Chevallier T, Zegels B, et al. Development and assessment of the Osteoporosis Index of Risk (OSIRIS) to facilitate selection of women for bone densitometry. Gynecol Endocrinol. 2002;16:245–250
  6. Weinstein L, Ullery B. Identification of at-risk women for osteoporosis screening. Am J Obstet Gynecol. 2000;183:547–549
  7. Salaffi F, Silveri F, Stancati A, Grassi W. Development and validation of the osteoporosis prescreening risk assessment (OPERA) tool to facilitate identification of women likely to have low bone density. Clin Rheumatol. 2005;24:203–211
  8. Reginster JY, Dethor M, Pirenne H, et al. Reproducibility and diagnostic sensitivity of ultrasonometry of the phalanges to assess osteoporosis. Int J Gynaecol Obstet. 1998;63:21–28
  9. Cook RB, Collins D, Tucker J, Zioupos P. Comparison of questionnaire and quantitative ultrasound techniques as screening tools for DXA. Osteoporos Int. 2005;16:1565–1575
  10. Benitez CL, Schneider DL, Barrett-Connor E, Sartoris DJ. Hand ultrasound for osteoporosis screening in postmenopausal women. Osteoporos Int. 2000;11:203–210
  11. Kung AWC, Ho AYY, Ben Sedrine W, et al. Comparison of a simple clinical risk index and quantitative bone ultrasound for identifying women at increased risk of osteoporosis. Osteoporos Int. 2003;14:716–721
  12. Richy F, Deceulaer F, Ethgen O, et al. Development and validation of the ORACLE score to predict risk of osteoporosis. Mayo Clin Proc. 2004;79:1402–1408
  13. Pongchaiyakul C, Panichkul S, Songpatanasilp T, Nguyen TV. A nomogram for predicting osteoporosis risk based on age, weight and quantitative ultrasound measurement. Osteoporos Int. 2007;18:525–531
  14. Kent R, Patrie J. Chest deflection tolerance to blunt anterior loading is sensitive to age but not load distribution. Forensic Sci Int. 2005;149:121–128
  15. Cadarette SM, Jaglal SB, Murray TM, et al. Evaluation of decision rules for referring women for bone densitometry by dual-energy X-ray absorptiometry. JAMA. 2001;286:57–63
  16. Wüster C, Albanese C, De Aloysio D, et al. Phalangeal osteosonogrammetry study: age-related changes, diagnostic sensitivity, and discrimination power. J Bone Miner Res. 2000;15:1603–1614
  17. Cook RB, Collins D, Tucker J, Zioupos P. The ability of peripheral quantitative ultrasound to identify patients with low bone mineral density in the hip or spine. Ultrasound Med Biol. 2005;31:625–632
  18. Damilakis J, Papadokostakis G, Pertsinakis K, et al. Discrimination of hip fractures by quantitative ultrasound of the phalanges and the calcaneus and dual X-ray absorptiometry. EJR. 2004;50:268–272
  19. Kovac D, Lindic J, Kandus A, Bren FA. Quantitative ultrasound of the calcaneus and dual X-ray absorptiometry of the lumbar spine in assessment and follow-up of skeletal status in patients after kidney transplantation. Osteoporos Int. 2003;14:166–170
  20. Knapp KM, Blake GM, Spector TD, Fogelman I. Multisite quantitative ultrasound: precision, age- and menopause-related changes, fracture discrimination, and T-score equivalence with dual-energy X-ray absorptiometry. Osteoporos Int. 2001;12:456–464
  21. Nevitt MC, Johnell O, Black DM, et al. Bone-mineral density predicts non-spine fractures in very elderly women. Osteoporos Int. 1994;4:325–331
  22. Cummings SR, Bates D, Black DM. Clinical use of bone densitometry—scientific review. JAMA. 2002;288:1889–1897
  23. Rud B, Jensen JEB, Mosekilde L, et al. Performance of four clinical screening tools to select peri- and early postmenopausal women for dual X-ray absorptiometry. Osteoporos Int. 2005;16:764–772

PII: S1094-6950(08)00039-5

doi: 10.1016/j.jocd.2008.04.002

Journal of Clinical Densitometry
Volume 11, Issue 4 , Pages 485-493.e3 , October 2008

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