A concept for quality assurance (QA) in bone densitometry has been dev
eloped for clinical multicenter studies. Major elements provided by a
coordinating center comprise (1) consulting services and certification
of participating centers in the start-up phase of the study, (2) revi
ew of scan data acquired on QA standards for cross-calibration and lon
gitudinal assessment of scanner stability, (3) review of selected pati
ent data as well as of problem cases during the study, and (4) compreh
ensive review and correction of patient results based on QA data after
conclusion of the study. Limitations of phantom-based QA data should
be acknowledged. Typical problems encountered during research studies
and guidelines for solutions are presented. Successful implementation
of QA measures may yield substantial enhancement of statistical power.
Depending on the study design and the variability of response within
patient groups, improvement in precision due to QA measures may reduce
the smallest detectable difference between subject groups or, alterna
tively, sample size by a few to more than 50%, and thus may contribute
to a substantial reduction in study cost. Formulae for calculation of
the magnitude of these effects are presented. To maximize the net ben
efit, QA efforts have to be limited to levels that assure reliability
of the data at acceptable QA cost. While QA programs at individual cli
nical sites or for local practitioners may not need to be as extensive
as for multicenter clinical trials, awareness of the potential proble
ms and implementation of basic QA measures will help in obtaining high
-quality bone densitometry results.