Literature DB >> 30702748

Evaluation of the Elekta Agility MLC performance using high-resolution log files.

Christopher N Kabat1, Dewayne L Defoor1, Pamela Myers1, Neil Kirby1, Karl Rasmussen1, Daniel L Saenz1, Panayiotis Mavroidis2, Niko Papanikolaou1, Sotirios Stathakis1.   

Abstract

PURPOSE: With the advent of volumetric modulated arc therapy (VMAT) and intensity-modulated radiation therapy (IMRT) treatment techniques, the requirement for more elaborate approaches in reviewing linac components' integrity has become even more stringent. A possible solution to this challenge is to employ the usage of log files generated during treatment. The log files generated by the new generation of Elekta linacs record events at a higher frequency (25 Hz) than their predecessors, which allows for retrospective analysis and identification of subtle changes and provides another means of quality assurance. The ability to track machine components based on log files for each treatment can allow for constant monitoring of fraction consistency in addition to machine reliability. Using Elekta Agility log files, a set of tests were developed to evaluate the reliability and robustness of the multileaf collimators (MLCs).
METHODS: To evaluate Elekta log file utilization for linac MLC QA effectiveness, five MLC test patterns were constructed to review the effects of leaf velocity and acceleration on positional accuracy, including gravitational effects for the Elekta MLC system. Each test was run five times in a particular setting to obtain reproducibility data and statistical averages. This study was performed on two identical Versa HD machines, each delivering a full set of test plans with all possible variations. Plans were delivered using Elekta's iCOMcat software and recorded log files were extracted. Log files were reformatted for readability and automatically analyzed in Matlab® .
RESULTS: The Elekta Agility MLC system was shown to be capable of obtaining speeds within the range of 5-35 mm/s. MLC step and shoot tests have demonstrated the MLC system's capability of having positional repeatability, averaging 0.03- and 0.08-mm offsets with and without gravitational effects, respectively. The IMRT-specific tests have shown that gravitational effects are negligible with all positional tests averaging 0.5-mm offsets. The largest speed root-mean-square error (RMSE) for the MLC system was found at the maximum speed of 35 mm/s with an average error of 0.8 mm. For slower speeds, the value was found to be much lower.
CONCLUSION: Utilizing log files has demonstrated the feasibility for higher precision of MLC motions to be reviewed, based on the performance tests that were instituted. Log files provide insight on the effects of friction, acceleration, and gravity, with MU's delivered that previously could not be reviewed in such detail. Based on our results, log file-based QA has enhanced our ability to review performance, functionality, and perform QA on Elekta's MLC system.
© 2019 American Association of Physicists in Medicine.

Entities:  

Keywords:  Elekta; LogFiles; MLC; QA

Mesh:

Year:  2019        PMID: 30702748     DOI: 10.1002/mp.13374

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


  7 in total

1.  Commissioning measurements on an Elekta Unity MR-Linac.

Authors:  Marcus Powers; John Baines; Robert Crane; Chantelle Fisher; Stephen Gibson; Linda Marsh; Bronwyn Oar; Ariadne Shoobridge; Emily Simpson-Page; Marchant Van der Walt; Glenn de Vine
Journal:  Phys Eng Sci Med       Date:  2022-03-02

2.  Impact of systematic MLC positional uncertainties on the quality of single-isocenter multi-target VMAT-SRS treatment plans.

Authors:  Georgia Prentou; Eleftherios P Pappas; Eleni Prentou; Nikolaos Yakoumakis; Chryssa Paraskevopoulou; Efi Koutsouveli; Evaggelos Pantelis; Panagiotis Papagiannis; Pantelis Karaiskos
Journal:  J Appl Clin Med Phys       Date:  2022-06-22       Impact factor: 2.243

3.  Machine learning models to predict the delivered positions of Elekta multileaf collimator leaves for volumetric modulated arc therapy.

Authors:  Sruthi Sivabhaskar; Ruiqi Li; Arkajyoti Roy; Neil Kirby; Mohamad Fakhreddine; Nikos Papanikolaou
Journal:  J Appl Clin Med Phys       Date:  2022-06-07       Impact factor: 2.243

4.  Insensitivity of machine log files to MLC leaf backlash and effect of MLC backlash on clinical dynamic MLC motion: An experimental investigation.

Authors:  Michael Barnes; Dennis Pomare; Marcus Doebrich; Therese S Standen; Joshua Wolf; Peter Greer; John Simpson
Journal:  J Appl Clin Med Phys       Date:  2022-06-09       Impact factor: 2.243

5.  Error sensitivity of a log file analysis tool compared with a helical diode array dosimeter for VMAT delivery quality assurance.

Authors:  Philipp Szeverinski; Matthias Kowatsch; Thomas Künzler; Marco Meinschad; Patrick Clemens; Alexander F DeVries
Journal:  J Appl Clin Med Phys       Date:  2020-10-23       Impact factor: 2.243

6.  Potential dose variability for small-field plans delivered with Elekta Agility collimators.

Authors:  Joseph J Foy; Poonam Yadav; Indra J Das
Journal:  J Appl Clin Med Phys       Date:  2021-07-13       Impact factor: 2.102

7.  An investigation of using log-file analysis for automated patient-specific quality assurance in MRgRT.

Authors:  Seng Boh Lim; Paola Godoy Scripes; Mary Napolitano; Ergys Subashi; Neelam Tyagi; Laura Cervino Arriba; Dale Michael Lovelock
Journal:  J Appl Clin Med Phys       Date:  2021-07-18       Impact factor: 2.243

  7 in total

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