Prog Med Phys.  2015 Jun;26(2):59-71. 10.14316/pmp.2015.26.2.59.

Use of Statistical Process Control for Quality Assurance in Radiation Therapy

• Cheong KH

• KMID: 1889937
• DOI: http://doi.org/10.14316/pmp.2015.26.2.59

Abstract

The goal of quality assurance (QA) is to minimize systematic errors in order to maintain the quality of a certain process. Statistical process control (SPC) has been utilized for QA in radiation therapy field since 2005 and is changing QA paradigm. Its purpose is to maintain a process within the given control limits while monitoring of error trends such as variation or dispersion. SPC can be applied to all QA aspects of radiotherapy; however, a medical physicist should have enough knowledge about the application of SPC to QC/QA procedures. In this paper, the author introduce a concept of SPC and review some previously reported studies those used SPC for QA in radiation therapy.

Keyword

Statistical process control (SPC); Quality control (QC); Quality assurance (QA); Control chart

MeSH Terms

Radiotherapy

Figure

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  Fig. 1.   -R chart of the daily output data (Table 4); center line (CL), upper control level (UCL) and upper control level (LCL) for   chart and R chart were calculated by using all weeks' data.

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  Fig. 2.   -R chart of the daily output data (Table 4); center line (CL), upper control level (UCL) and upper control level (LCL) for   chart and R chart were calculated by using first 20 weeks' data.

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  Fig. 3. Histogram and Gaussian distributions (within: solid line, overall: dashed line) of the daily output data (Table 4); upper and lower specification levels (USL and LSL) were set to ±3%, and target value was set to 1. The data were shifted toward USL.

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  Fig. 4. Process capability Cp and Cpk for the process of 21EX, 21EX-S, and Novalis Tx.

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  Fig. 5. Overall variations of σMU and σGA. Time series for σMU and σGA were quite stable regardless of the treatment site. There were many valleys in the graph due to SBRT cases wherein the gantry's rotation speed was slower than in IMRT ones; thus, the σGA was relatively smaller than it was in IMRT. Also, there is a step change that possibly due to the replacement of the potential meter for the gantry's rotational position. Accordingly, the general σGA decreased from 0.4 to 0.2 and then stabilized.

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  Fig. 6. Histogram of patient-specific range measurements with tolerance levels (vertical dashed lines) in the treatment sites: (a) head and neck; (b) prostate cases. The customized action limits (vertical solid lines) is ±2%.

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  Fig. 7. Some patterns of process behavior charts; (a) step change, (b) bias, (c) drift, (d) in control.

Reference

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