Reproducibility of DXA absorptiometry: A model for bone loss estimates

Authors

  • Ghada El-Hajj Fuleihan,

    Corresponding author
    1. Harvard School of Public Health, Boston, Massachusetts
    • Endocrine-Hypertension Division Brigham and Women's Hospital 221 Longwood Avenue Boston, MA 02115
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    • Recipient of a Clinical Associate Physician Award.

  • Marcia A. Testa,

    1. Harvard School of Public Health, Boston, Massachusetts
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  • Jennifer E. Angell,

    1. Endocrine-Hypertension Division and the Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
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  • Nancy Porrino,

    1. Endocrine-Hypertension Division and the Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
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  • Meryl S. Leboff

    1. Endocrine-Hypertension Division and the Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
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  • Presented in part at the Annual Meeting of the American Society of Bone and Mineral Research, Tampa, FL, 1993.

Abstract

The enhanced precision of dual-energy X-ray absorptiometry (DXA) allows the detection of very small changes in bone mineral density (BMD). True clinical changes in BMD in patients must be evaluated with the appropriate error of variance. We evaluated the responsiveness of our measures to true bone loss using a statistical variance components model that characterizes the variability associated with error introduced by the machine, operator, and subjects. Our techniques were applied to data from a prospective study of BMD measurements on spine phantoms and on pre- and postmenopausal women performed on the same day or up to 4 weeks apart with DXA (QDR 1000W, Hologic). Our model determined that most of the error in measurements was introduced by operators' and subjects' variability rather than machine performance. The false-positive rates for true bone change are significantly reduced when the appropriate CV% is used to estimate the significance of bone loss over time. Our study underscores the need to use the appropriate precision error to evaluate the clinical significance of changes in bone mass in individual subjects over time.

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