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BioMed Research International - Volume 2015 2015, Article ID 596858, 5 pages -

Research Article

Department of Oral and Maxillofacial Radiology, Academic Center for Dentistry Amsterdam ACTA, Gustav Mahlerlaan 3004, 1081 LA Amsterdam, Netherlands

Statisticor, Statistical Research Office, Dorpsstraat 90, 2831 AT Gouderak, Netherlands

Received 4 October 2015; Accepted 14 December 2015

Academic Editor: Ruben Pauwels

Copyright © 2015 R. C. Hoogeveen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Objective. To investigate if software simulation is practical for quantifying random error RE in phantom dosimetry. Materials and Methods. We applied software error simulation to an existing dosimetry study. The specifications and the measurement values of this study were brought into the software R version 3.0.2 together with the algorithm of the calculation of the effective dose . Four sources of RE were specified: the calibration factor; the background radiation correction; the read-out process of the dosimeters; and the fluctuation of the X-ray generator. Results. The amount of RE introduced by these sources was calculated on the basis of the experimental values and the mathematical rules of error propagation. The software repeated the calculations of multiple times while attributing the applicable RE to the experimental values. A distribution of emerged as a confidence interval around an expected value. Conclusions. Credible confidence intervals around in phantom dose studies can be calculated by using software modelling of the experiment. With credible confidence intervals, the statistical significance of differences between protocols can be substantiated or rejected. This modelling software can also be used for a power analysis when planning phantom dose experiments.

Author: R. C. Hoogeveen, E. P. Martens, P. F. van der Stelt, and W. E. R. Berkhout



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