2017
DOI: 10.1016/j.ejmp.2017.05.068
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Design of experiments in medical physics: Application to the AAA beam model validation

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Cited by 6 publications
(3 citation statements)
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“…The choice of an appropriate algorithm is crucial to avoid inaccuracies in the dose calculation. However, when comparing the dose calculated between different studies, the beam model used should be taken into account in order to avoid biased comparisons, since beam parameters, tumour size and location may all have a non-negligible impact on the dose calculation accuracy depending on the beam model used [24]. Guidelines to follow for the commissioning of a new TPS are provided in [25], but in order to have a standard beam model for dose calculation (i.e.…”
Section: Treatment Planning Systems and Dose Calculation Algorithmsmentioning
confidence: 99%
“…The choice of an appropriate algorithm is crucial to avoid inaccuracies in the dose calculation. However, when comparing the dose calculated between different studies, the beam model used should be taken into account in order to avoid biased comparisons, since beam parameters, tumour size and location may all have a non-negligible impact on the dose calculation accuracy depending on the beam model used [24]. Guidelines to follow for the commissioning of a new TPS are provided in [25], but in order to have a standard beam model for dose calculation (i.e.…”
Section: Treatment Planning Systems and Dose Calculation Algorithmsmentioning
confidence: 99%
“…The paper of Dufreneix S. et al [10] introduces the reader in the use of experimental designs (a well-known branch of the statistical science) and the analysis of multiparametric problems related to the quality assurance of beam models' validation. The end point of their study was to show how these methods can help define the optimal measurement set to meet the QA acceptance criteria and how they can be used to infer the main factors affecting the investigated variable.…”
Section: Radiotherapymentioning
confidence: 99%
“…Since most of CPPs are distinctly related to multiple CQAs, intersections between different surfaces (the same CPP explored against different CQAs) generate a map that represents the product quality for each value in the potential operating range from this CPP. The analysis of these maps allows the determination of the optimal operating ranges of each CPP, enabling to improve the quality of the development process [23][24][25][26][27][28][29][30][31].…”
Section: Introductionmentioning
confidence: 99%