Application of failure mode and effects analysis to validate a novel hybrid Linac QC program that integrates automated and conventional QC testing. Issue 12 (1st December 2022)

• Record Type: Journal Article
• Authors: Pearson, Michael; Butterworth, Victoria; Misson‐Yates, Sarah; Naeem, Marium; Gonzalez Vaz, Regina; Eaton, David; Greener, Tony
• Is Part Of: Journal of applied clinical medical physics. Volume 23:Issue 12(2022)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2022-12-01
• Subjects: FMEA -- Linac quality control (QC) -- linear accelerator -- machine performance check (MPC) -- quality assurance; Medical physics -- Periodicals; Clinical medicine -- Periodicals; Health Physics; Clinical Medicine; Electronic journals; Periodicals; Periodicals; Fulltext; Internet Resources; 610.153
• DOI: 10.1002/acm2.13798
• Languages: English
• ISSNs: 1526-9914

Abstract

Abstract: A hybrid quality control (QC) program was developed that integrates automated and conventional Linac QC, realizing the benefits of both automated and conventional QC, increasing efficiency and maintaining independent measurement methods. Failure mode and effects analysis (FMEA) was then applied in order to validate the program prior to clinical implementation. The hybrid QC program consists of automated QC with machine performance check and DailyQA3 array on the TrueBeam Linac, and Delta4 volumetric modulated arc therapy (VMAT) standard plan measurements, alongside conventional monthly QC at a reduced frequency. The FMEA followed the method outlined in TG‐100. Process maps were created for each treatment type at our center: VMAT, stereotactic body radiotherapy (SBRT), conformal, and palliative. Possible failure modes were established by evaluating each stage in the process map. The FMEA followed semiquantitative methods, using data from our QC records from eight Linacs over 3 years for the occurrence estimates, and simulation of failure modes in the treatment planning system, with scoring surveys for severity and detectability. The risk priority number (RPN) was calculated from the product of the occurrence, severity, and detectability scores and then normalized to the maximum and ranked to determine the most critical failure modes. The highest normalized RPN values (100, 90) were found to be for MLC position dynamic for both VMAT and SBRT treatments. The next highest score was 35 for beam position for SBRT, and the majority of scores were less than 20. Overall, these RPN scores for the hybrid Linac QC program indicated that it would be acceptable, but the high RPN score associated with the dynamic MLC failure mode indicates that it would be valuable to perform more rigorous testing of the MLC. The FMEA proved to be a useful tool in validating hybrid QC.