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http://dx.doi.org/10.17946/JRST.2022.45.5.439

Treatment Planning Guideline of EBT Film-based Delivery Quality Assurance Using Statistical Process Control in Helical Tomotherapy  

Chang, Kyung Hwan (Department of Radiological Science, Far East University)
Publication Information
Journal of radiological science and technology / v.45, no.5, 2022 , pp. 439-448 More about this Journal
Abstract
The purpose of this study was to analyze the results from statistical process control (SPC) to recommend upper and lower control limits for planning parameters based on delivery quality assurance (DQA) results and establish our institutional guidelines regarding planning parameters for helical tomotherapy (HT). A total of 53 brain, 41 head and neck (H & N), and 51 pelvis cases who had passing or failing DQA measurements were selected. The absolute point dose difference (DD) and the global gamma passing rate (GPR) for all patients were analyzed. Control charts were used to evaluate upper and lower control limits (UCL and LCL) for all assessed treatment planning parameters. Treatment planning parameters were analyzed to provide its range for DQA pass cases. We confirmed that the probability of DQA failure was higher when the proportion of leaf open time (LOT) below 100 ms was greater than 30%. LOT and gantry period (GP) were significant predictor for DQA failure using the SPC method. We investigated the availability of the SPC statistic method to establish the local planning guideline based on DQA results for HT system. The guideline of each planning parameter in HT may assist in the prediction of DQA failure using the SPC statistic method in the future.
Keywords
Statistical Process Control; Delivery Quality Assurance; Helical Tomotherapy; Planning Guideline; Leaf Open Time;
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Times Cited By KSCI : 2  (Citation Analysis)
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