Sankar Arumugam1, Aitang Xing2, Tony Young3, David Thwaites3, Lois Holloway4. 1. Liverpool and Macarthur Cancer Therapy Centres and Ingham Institute, Liverpool, New South Wales, Australia; University of New South Wales, Sydney, New South Wales, Australia. Electronic address: Sankar.Arumugam@sswahs.nsw.gov.au. 2. Liverpool and Macarthur Cancer Therapy Centres and Ingham Institute, Liverpool, New South Wales, Australia; University of New South Wales, Sydney, New South Wales, Australia. 3. Liverpool and Macarthur Cancer Therapy Centres and Ingham Institute, Liverpool, New South Wales, Australia; Institute of Medical Physics, School of Physics, University of Sydney, Sydney, New South Wales, Australia. 4. Liverpool and Macarthur Cancer Therapy Centres and Ingham Institute, Liverpool, New South Wales, Australia; University of New South Wales, Sydney, New South Wales, Australia; Institute of Medical Physics, School of Physics, University of Sydney, Sydney, New South Wales, Australia; Centre for Medical Radiation Physics, University of Wollongong, Wollongong, New South Wales, Australia.
Abstract
AIM: To study the sensitivity of three commercial dosimetric systems, Delta4, Multicube and Octavius4D, in detecting Volumetric Modulated Arc Therapy (VMAT) delivery errors. METHODS: Fourteen prostate and head and neck (H&N) VMAT plans were considered for this study. Three types of errors were introduced into the original plans: gantry angle independent and dependent MLC errors, and gantry angle dependent dose errors. The dose matrix measured by each detector system for the no-error and error introduced delivery were compared with the reference Treatment Planning System (TPS) calculated dose matrix for no-error plans using gamma (γ) analysis with 2%/2mm tolerance criteria. The ability of the detector system in identifying the minimum error in each scenario was assessed by analysing the gamma pass rates of no error delivery and error delivery using a Wilcoxon signed-rank test. The relative sensitivity of the system was assessed by determining the slope of the gamma pass line for studied error magnitude in each error scenario. RESULTS: In the gantry angle independent and dependent MLC error scenario the Delta4, Multicube and Octavius4D systems detected a minimum 2mm error. In the gantry angle dependent dose error scenario all studied systems detected a minimum 3% and 2% error in prostate and H&N plans respectively. In the studied detector systems Multicube showed relatively less sensitivity to the errors in the majority of error scenarios. CONCLUSION: The studied systems identified the same magnitude of minimum errors in all considered error scenarios.
AIM: To study the sensitivity of three commercial dosimetric systems, Delta4, Multicube and Octavius4D, in detecting Volumetric Modulated Arc Therapy (VMAT) delivery errors. METHODS: Fourteen prostate and head and neck (H&N) VMAT plans were considered for this study. Three types of errors were introduced into the original plans: gantry angle independent and dependent MLC errors, and gantry angle dependent dose errors. The dose matrix measured by each detector system for the no-error and error introduced delivery were compared with the reference Treatment Planning System (TPS) calculated dose matrix for no-error plans using gamma (γ) analysis with 2%/2mm tolerance criteria. The ability of the detector system in identifying the minimum error in each scenario was assessed by analysing the gamma pass rates of no error delivery and error delivery using a Wilcoxon signed-rank test. The relative sensitivity of the system was assessed by determining the slope of the gamma pass line for studied error magnitude in each error scenario. RESULTS: In the gantry angle independent and dependent MLC error scenario the Delta4, Multicube and Octavius4D systems detected a minimum 2mm error. In the gantry angle dependent dose error scenario all studied systems detected a minimum 3% and 2% error in prostate and H&N plans respectively. In the studied detector systems Multicube showed relatively less sensitivity to the errors in the majority of error scenarios. CONCLUSION: The studied systems identified the same magnitude of minimum errors in all considered error scenarios.