Predictive quality assurance of a linear accelerator based on the machine performance check application using statistical process control and ARIMA forecast modeling.

Purpose: A predictive linac quality assurance system based on the output of the Machine Performance Check (MPC) application was developed using statistical process control and autoregressive integrated moving average forecast modeling. The aim of this study is to demonstrate the feasibility of predictive quality assurance based on MPC tests that allow proactive preventative maintenance procedures to be carried out to better ensure optimal linac performance and minimize downtime.

Method And Materials: Daily MPC data were acquired for a total of 490 measurements.