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八台现代放射治疗直线加速器的质量控制数据分析:输出量的短期和长期行为以及质量控制测量的可重复性。

Analysis of quality control data of eight modern radiotherapy linear accelerators: the short- and long-term behaviours of the outputs and the reproducibility of quality control measurements.

作者信息

Kapanen Mika, Tenhunen Mikko, Hämäläinen Tuomo, Sipilä Petri, Parkkinen Ritva, Järvinen Hannu

机构信息

Radiation and Nuclear Safety Authority (STUK), Laippatie 4, 00881 Helsinki, Finland.

出版信息

Phys Med Biol. 2006 Jul 21;51(14):3581-92. doi: 10.1088/0031-9155/51/14/020. Epub 2006 Jul 6.

Abstract

Quality control (QC) data of radiotherapy linear accelerators, collected by Helsinki University Central Hospital between the years 2000 and 2004, were analysed. The goal was to provide information for the evaluation and elaboration of QC of accelerator outputs and to propose a method for QC data analysis. Short- and long-term drifts in outputs were quantified by fitting empirical mathematical models to the QC measurements. Normally, long-term drifts were well (< or =1%) modelled by either a straight line or a single-exponential function. A drift of 2% occurred in 18 +/- 12 months. The shortest drift times of only 2-3 months were observed for some new accelerators just after the commissioning but they stabilized during the first 2-3 years. The short-term reproducibility and the long-term stability of local constancy checks, carried out with a sealed plane parallel ion chamber, were also estimated by fitting empirical models to the QC measurements. The reproducibility was 0.2-0.5% depending on the positioning practice of a device. Long-term instabilities of about 0.3%/month were observed for some checking devices. The reproducibility of local absorbed dose measurements was estimated to be about 0.5%. The proposed empirical model fitting of QC data facilitates the recognition of erroneous QC measurements and abnormal output behaviour, caused by malfunctions, offering a tool to improve dose control.

摘要

对赫尔辛基大学中心医院在2000年至2004年期间收集的放射治疗直线加速器的质量控制(QC)数据进行了分析。目的是为加速器输出的质量控制评估和完善提供信息,并提出一种质量控制数据分析方法。通过将经验数学模型拟合到质量控制测量数据来量化输出的短期和长期漂移。通常,长期漂移可以用直线或单指数函数很好地建模(<或=1%)。2%的漂移在18±12个月内出现。一些新加速器在调试后仅2至3个月就观察到最短的漂移时间,但在最初的2至3年内它们趋于稳定。还通过将经验模型拟合到质量控制测量数据来估计使用密封平面平行电离室进行的局部恒定性检查的短期再现性和长期稳定性。再现性为0.2%至0.5%,具体取决于设备的定位操作。一些检查设备观察到约0.3%/月的长期不稳定性。局部吸收剂量测量的再现性估计约为0.5%。所提出的质量控制数据经验模型拟合有助于识别由故障引起的错误质量控制测量和异常输出行为,提供了一种改进剂量控制的工具。

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