Statistical process control and process capability analysis for non‐normal volumetric modulated arc therapy patient‐specific quality assurance processes

Purpose Applying statistical process control (SPC) to intensity‐modulated radiotherapy (IMRT)/volumetric modulated arc therapy (VMAT) patient‐specific quality assurance (PSQA) program was recommended by the American Association of Physics in Medicine Task Group 218 report, but a comprehensive analys...

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Veröffentlicht in:Medical physics (Lancaster) 2020-10, Vol.47 (10), p.4694-4702
Hauptverfasser: Xiao, Qing, Bai, Sen, Li, Guangjun, Yang, Kaixuan, Bai, Long, Li, Zhibin, Chen, Li, Xian, Lixun, Hu, Zhenyao, Zhong, Renming
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Sprache:eng
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Zusammenfassung:Purpose Applying statistical process control (SPC) to intensity‐modulated radiotherapy (IMRT)/volumetric modulated arc therapy (VMAT) patient‐specific quality assurance (PSQA) program was recommended by the American Association of Physics in Medicine Task Group 218 report, but a comprehensive analysis of PSQA processes with non‐normal distributions is lacking. This study investigates SPC and process capability analysis (PCA) methods for non‐normal IMRT/VMAT PSQA processes. Methods 1119 VMAT PSQAs were performed on three beam‐matched linear accelerators (linacs), using gamma analysis. The Anderson–Darling statistic was used to test normality. The control charts for each PSQA process were obtained using three non‐normal‐based methods and compared with the conventional Shewhart method. The ability of each PSQA process to produce an output within the specification limit was measured using the Cpk index; in this study, the Cpk index was calculated using two transformation methods and compared with that calculated using the conventional method. The performances of the three linacs were assessed using SPC and PCA methods. Results All three PSQA processes were non‐normal (P 
ISSN:0094-2405
2473-4209
DOI:10.1002/mp.14399