Marlies Pasler1, Jochem Kaas2, Thijs Perik2, Job Geuze2, Ralf Dreindl3, Thomas Künzler4, Frits Wittkamper2, Dietmar Georg5. 1. Lake Constance Radiation Oncology Center Singen-Friedrichshafen, Germany. Electronic address: pasler@strahlentherapie-fn.de. 2. Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands. 3. EBG MedAustron GmbH, Wiener Neustadt and Department of Radiotherapy, Medical University of Vienna, Austria. 4. Institute of Medical Physics, Landeskrankenhaus Feldkirch, Austria. 5. Div. Medical Radiation Physics, Department of Radiation Oncology, Medical University Vienna/AKH Vienna, Austria; Christian Doppler Laboratory for Medical Radiation Research for Radiation Oncology, Medical University Vienna, Austria.
Abstract
PURPOSE: To systematically evaluate machine specific quality assurance (QA) for volumetric modulated arc therapy (VMAT) based on log files by applying a dynamic benchmark plan. METHODS AND MATERIALS: A VMAT benchmark plan was created and tested on 18 Elekta linacs (13 MLCi or MLCi2, 5 Agility) at 4 different institutions. Linac log files were analyzed and a delivery robustness index was introduced. For dosimetric measurements an ionization chamber array was used. Relative dose deviations were assessed by mean gamma for each control point and compared to the log file evaluation. RESULTS: Fourteen linacs delivered the VMAT benchmark plan, while 4 linacs failed by consistently terminating the delivery. The mean leaf error (±1SD) was 0.3±0.2 mm for all linacs. Large MLC maximum errors up to 6.5 mm were observed at reversal positions. Delivery robustness index accounting for MLC position correction (0.8-1.0) correlated with delivery time (80-128 s) and depended on dose rate performance. Dosimetric evaluation indicated in general accurate plan reproducibility with γ(mean)(±1 SD)=0.4±0.2 for 1 mm/1%. However single control point analysis revealed larger deviations and attributed well to log file analysis. CONCLUSION: The designed benchmark plan helped identify linac related malfunctions in dynamic mode for VMAT. Log files serve as an important additional QA measure to understand and visualize dynamic linac parameters.
PURPOSE: To systematically evaluate machine specific quality assurance (QA) for volumetric modulated arc therapy (VMAT) based on log files by applying a dynamic benchmark plan. METHODS AND MATERIALS: A VMAT benchmark plan was created and tested on 18 Elekta linacs (13 MLCi or MLCi2, 5 Agility) at 4 different institutions. Linac log files were analyzed and a delivery robustness index was introduced. For dosimetric measurements an ionization chamber array was used. Relative dose deviations were assessed by mean gamma for each control point and compared to the log file evaluation. RESULTS: Fourteen linacs delivered the VMAT benchmark plan, while 4 linacs failed by consistently terminating the delivery. The mean leaf error (±1SD) was 0.3±0.2 mm for all linacs. Large MLC maximum errors up to 6.5 mm were observed at reversal positions. Delivery robustness index accounting for MLC position correction (0.8-1.0) correlated with delivery time (80-128 s) and depended on dose rate performance. Dosimetric evaluation indicated in general accurate plan reproducibility with γ(mean)(±1 SD)=0.4±0.2 for 1 mm/1%. However single control point analysis revealed larger deviations and attributed well to log file analysis. CONCLUSION: The designed benchmark plan helped identify linac related malfunctions in dynamic mode for VMAT. Log files serve as an important additional QA measure to understand and visualize dynamic linac parameters.
Authors: Gregory Smyth; Philip M Evans; Jeffrey C Bamber; Henry C Mandeville; A Rollo Moore; Liam C Welsh; Frank H Saran; James L Bedford Journal: Phys Med Biol Date: 2019-04-05 Impact factor: 3.609
Authors: Conor K McGarry; Christina E Agnew; Mohammad Hussein; Yatman Tsang; Alan R Hounsell; Catharine H Clark Journal: Br J Radiol Date: 2016-04-13 Impact factor: 3.039
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