Feasibility study of using statistical process control to optimize quality assurance in radiotherapy - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Journal of Quality in Maintenance Engineering Année : 2009

Feasibility study of using statistical process control to optimize quality assurance in radiotherapy

Résumé

Abstract - Purpose – The purpose of this paper is to evaluate and improve the quality and the reliability of pre-treatment quality controls of an efficient technique of radiotherapy called IMRT (intensity-modulated radiation therapy). The aim is then to determine if the controls can be safely reduced while keeping an optimal level of quality. Design/methodology/approach – The statistical process control method (SPC) was applied to quality assurance in IMRT. In order to characterize prostate and head-and-neck treatment process variability, individual value control charts and moving-range control charts were established. Findings – Control charts showed that prostate and head-and-neck treatment processes are only subject to random causes of variability, which means they are statistically controlled. It was proved that both processes are statistically stable and capable. Originality/value – The paper shows that SPC is an efficient method to objectively determine if quality controls can be reduced.

Domaines

Biophysique

Dates et versions

hal-00323514 , version 1 (22-09-2008)

Identifiants

Citer

Karine Gerard, Jean-Pierre Grandhaye, Vincent Marchesi, Pierre Aletti, François Husson, et al.. Feasibility study of using statistical process control to optimize quality assurance in radiotherapy. Journal of Quality in Maintenance Engineering, 2009, 15 (4), pp.331-343. ⟨10.1108/13552510910997715⟩. ⟨hal-00323514⟩
65 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More