Literature DB >> 30620406

Application of TG-100 risk analysis methods to the acceptance testing and commissioning process of a Halcyon linear accelerator.

P Troy Teo1, Min-Sig Hwang1, William Gary Shields2, Pavel Kosterin1, Si Young Jang1, Dwight E Heron1, Ronald J Lalonde1, M Saiful Huq1.   

Abstract

PURPOSE: A new type of linear accelerator (linac) was recently introduced into the market by a major manufacturer. Our institution is one of the early users of this preassembled and preconfigured dual-layer multileaf collimator (MLC), ring-gantry linac - Halcyon™ (1st version). We performed a set of full acceptance testing and commissioning (ATC) measurements for three Halcyon machines and compared the measured data with the standard beam model provided by the manufacturer. The ATC measurements were performed following the guidelines given in different AAPM protocols as well as guidelines provided by the manufacturer. The purpose of the present work was to perform a risk assessment of the ATC process for this new type of linac and investigate whether the results obtained from this analysis could potentially be used as a guideline for improving the design features of this type of linac.
METHODS: AAPM's TG100 risk assessment methodology was applied to the ATC process. The acceptance testing process relied heavily on the use of a manufacturer-supplied phantom and the automated analysis of electronic portal imaging device (EPID) images. For the commissioning process, a conventional measurement setup and process (e.g., use of water tank for scanning) was largely used. ATC was performed using guidelines recommended in various AAPM protocols (e.g., TG-106, TG-51) as well as guidelines provided by the manufacturer. Six medical physicists were involved in this study. Process maps, process steps, and failure modes (FMs) were generated for the ATC procedures. Failure modes and effects analysis (FMEA) were performed following the guidelines given in AAPM TG-100 protocol. The top 5 and top 10 highest-ranked FMs were identified for the acceptance and commissioning procedures, respectively. Quality control measures were suggested to mitigate these FMs.
RESULTS: A total of 38 steps and 88 FMs were identified for the entire ATC process. Fourteen steps and 34 FMs arose from acceptance testing. The top 5 FMs that were identified could potentially be mitigated by the manufacturer. For commissioning, a total of 24 steps and 54 potential FMs were identified. The use of separate measurement tools that are not machine-integrated has been identified as a cause for the higher number of steps and FMs generated from the conventional ATC approach. More than half of the quality control measures recommended for both acceptance and commissioning could potentially be incorporated by the manufacturer in the design of the Halcyon machine.
CONCLUSION: This paper presents the results of FMEA and quality control measures to mitigate the FMs for the ATC process for Halcyon machine. Unique FMs that result from the differences in the ATC guidelines provided by the vendor and current conventional protocols, and the challenges of performing the ATC due to the new linac features and ring-gantry design were highlighted for the first time. The FMs identified in the present work along with the suggested quality control measures, could potentially be used to improve the design features of future ring-gantry type of linacs that are likely to be preassembled, preconfigured, and heavily reliant on automation and image guidance.
© 2019 American Association of Physicists in Medicine.

Entities:  

Keywords:  TG-51; TG100; acceptance testing and commissioning; failure modes and effects analysis (FMEA); new ring-gantry linac; reference dosimetry

Mesh:

Year:  2019        PMID: 30620406     DOI: 10.1002/mp.13378

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  5 in total

1.  Beam data modeling of linear accelerators (linacs) through machine learning and its potential applications in fast and robust linac commissioning and quality assurance.

Authors:  Wei Zhao; Ishan Patil; Bin Han; Yong Yang; Lei Xing; Emil Schüler
Journal:  Radiother Oncol       Date:  2020-10-08       Impact factor: 6.280

2.  A detailed process map for clinical workflow of a new biology-guided radiotherapy (BgRT) machine.

Authors:  Min-Sig Hwang; Ron Lalonde; M Saiful Huq
Journal:  J Appl Clin Med Phys       Date:  2022-05-10       Impact factor: 2.243

3.  Comprehensive validation of halcyon 2.0 plans and the implementation of patient specific QA with multiple detector platforms.

Authors:  Eric Laugeman; Ana Heermann; Jessica Hilliard; Michael Watts; Marshia Roberson; Robert Morris; Sreekrishna Goddu; Abhishek Sethi; Imran Zoberi; Hyun Kim; Sasa Mutic; Geoffrey Hugo; Bin Cai
Journal:  J Appl Clin Med Phys       Date:  2020-05-05       Impact factor: 2.102

4.  Automated and robust beam data validation of a preconfigured ring gantry linear accelerator using a 1D tank with synchronized beam delivery and couch motions.

Authors:  Nels C Knutson; Matthew C Schmidt; Francisco J Reynoso; Yao Hao; Thomas R Mazur; Eric Laugeman; Geoffrey Hugo; Sasa Mutic; H Harold Li; Wilfred Ngwa; Bin Cai; Erno Sajo
Journal:  J Appl Clin Med Phys       Date:  2020-07-02       Impact factor: 2.102

5.  A bi-institutional multi-disciplinary failure mode and effects analysis (FMEA) for a Co-60 based total body irradiation technique.

Authors:  Shahbaz Ahmed; Todd Bossenberger; Adrian Nalichowski; Jeremy S Bredfeldt; Sarah Bartlett; Kristen Bertone; Michael Dominello; Mark Dziemianowicz; Melanie Komajda; G Mike Makrigiorgos; Karen J Marcus; Andrea Ng; Marvin Thomas; Jay Burmeister
Journal:  Radiat Oncol       Date:  2021-11-19       Impact factor: 3.481

  5 in total

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