Literature DB >> 1613586

Optimization of follow-up measurements of bone mass.

L F Verheij1, J A Blokland, S E Papapoulos, A H Zwinderman, E K Pauwels.   

Abstract

In bone densitometry, the precision of the instrument, the number of measurements and the time-points of the measurements are important criteria for monitoring bone mass changes. The most appropriate follow-up procedure can be determined by numerical comparison of various combinations of these three criteria. This can be done by computing the confidence interval of changes in bone mass. We developed a model to estimate the length of a confidence interval for the observed changes in individual patients. With specific instrument precision, a specified number of measurements and, assuming a linear rate of bone mass changes, the best estimate of the actual changes in bone mass is obtained by measurements at the end of an observation period. With the current precision of bone densitometers, follow-up of patients with yearly duplicate measurements is recommended. A shorter scan time interval offers no additional information unless very rapid bone loss is expected.

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Year:  1992        PMID: 1613586

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  3 in total

1.  Guidelines for the clinical utilization of bone mass measurement in the adult population. Society for Clinical Densitometry.

Authors:  P D Miller; S L Bonnick; C Rosen
Journal:  Calcif Tissue Int       Date:  1995-10       Impact factor: 4.333

2.  A Trimodality Comparison of Volumetric Bone Imaging Technologies. Part II: 1-Yr Change, Long-Term Precision, and Least Significant Change.

Authors:  Andy K O Wong; Karen A Beattie; Kevin K H Min; Zamir Merali; Colin E Webber; Christopher L Gordon; Alexandra Papaioannou; Angela M W Cheung; Jonathan D Adachi
Journal:  J Clin Densitom       Date:  2014-08-13       Impact factor: 2.617

Review 3.  Consensus of an international panel on the clinical utility of bone mass measurements in the detection of low bone mass in the adult population.

Authors:  P D Miller; S L Bonnick; C J Rosen
Journal:  Calcif Tissue Int       Date:  1996-04       Impact factor: 4.333

  3 in total

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