Journal of Clinical Densitometry
Volume 10, Issue 3 , Pages 239-243 , July 2007

Effect of Precision Error on T-scores and the Diagnostic Classification of Bone Status

  • Gary M. Kiebzak

      Affiliations

    • Center for Orthopaedic Research and Education, St. Luke's Belmont Center, Houston, TX
    • Corresponding Author InformationAddress correspondence to: Gary M. Kiebzak, PhD, Center for Orthopaedic Research and Education, St. Luke's Belmont Center, 2909 W. Holcombe Blvd, Houston, TX 77025.
    • ,
  • Kenneth G. Faulkner

      Affiliations

    • Synarc, San Francisco, CA
    • ,
  • Wynn Wacker

      Affiliations

    • GE Healthcare, Madison, WI
    • ,
  • Ronald Hamdy

      Affiliations

    • Osteoporosis Center, College of Medicine, East Tennessee State University and VAMC, Johnson City, TN
    • ,
  • Edith Seier

      Affiliations

    • Department of Mathematics, East Tennessee State University, Johnson City, TN
    • ,
  • Nelson B. Watts

      Affiliations

    • University of Cincinnati College of Medicine, Cincinnati, OH

Received 29 January 2007 ,Revised 7 March 2007 ,Accepted 10 March 2007.

References 

  1. Bonnick SL, Johnston CC, Kleerekoper M, Lindsay R, Miller P, Sherwood L, et al. Importance of precision in bone density measurements. J Clin Densitom. 2001;4(2):105–110
  2. Gluer CC, Blake G, Lu Y, Blunt BA, Jergas M, Genent HK. Accurate assessment of precision errors: how to measure the reproducibility of bone densitometry techniques. Osteoporos Int. 1995;5(4):262–270
  3. Lenchik L, Kiebzak GM, Blunt BA. What is the role of serial bone mineral density measurements in patient management?. J Clin Densitom. 2002;5(Suppl):S29–S38
  4. Faulkner KG, Weynand LS, Wacker WK, Barden HS. Determination of T-score confidence limits for diagnosing osteoporosis. J Clin Densitom. 2006;9(2):237;[abstract]
  5. Kiebzak GM, Hamdy RC, Seier E, Watts NB. Variability around the T-score cutpoint of -2.5 impacts diagnostic classification. J Clin Densitom. 2005;8(2):238;[abstract]
  6. Zar JH. Biostatistical analysis. 2nd ed.. Englewood Cliffs, NJ: Prentice Hall; 1984;
  7. Weynand LS, Barden HS, Faulkner KG. Precision of fan-beam densitometers in clinical practice. J Bone Miner Res. 2004;19(Suppl 1):S235;[abstract]
  8. In:  Favus MJ editors. Primer on the metabolic bone diseases and disorders of mineral metabolism. 4th ed.. Philadelphia, PA: Lippincott Williams & Wilkins; 1999;Appendix vi. pp 483
  9. WHO. 1994 Assessment of fracture risk and its application to screening for postmenopausal osteoporosis. 1994 WHO Technical Report Series 843.
  10. Hamdy RC, Petak SM, Lenchik L. Which central dual x-ray absorptiometry skeletal sites and regions of interest should be used to determine the diagnosis of osteoporosis?. J Clin Densitom. 2002;5(Suppl):S11–S18
  11. The Writing Group for the ISCD Position Development Conference. Nomenclature and decimal places in bone densitometry. J Clin Densitom. 2004;7(1):45–49
  12. Faulkner KG. The tale of the T-score: review and perspective. Osteoporos Int. 2005;16:347–352
  13. Shepherd JA, Lu Y, Wilson K, et al. Cross-calibration and minimum precision standards for dual-energy x-ray absorptiometry: the 2005 ISCD Official Positions. J Clin Densitom. 2006;9(1):31–36
  14. Hans D, Downs RW, Duboeuf F, Greenspan S, Jankowski LG, Kiebzak GM, et al. Skeletal sites for osteoporosis diagnosis: the 2005 ISCD Official Positions. J Clin Densitom. 2006;9(1):15–21
  15. Hamdy R, Kiebzak GM, Seier E, Watts NB. The prevalence of significant left-right differences in hip bone mineral density. Osteoporos Int. 2006;17:1772–1780

PII: S1094-6950(07)00039-X

doi: 10.1016/j.jocd.2007.03.002

Journal of Clinical Densitometry
Volume 10, Issue 3 , Pages 239-243 , July 2007

Article Tools

* Image Usage & Resolution