Comparison of three commercial dosimetric systems in detecting clinically significant VMAT delivery errors

RIS ID

110347

Publication Details

Arumugam, S., Xing, A., Young, T., Thwaites, D. & Holloway, L. (2016). Comparison of three commercial dosimetric systems in detecting clinically significant VMAT delivery errors. Physica Medica: an international journal devoted to the applications of physics to medicine and biology, 32 (10), 1238-1244.

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 (¿) analysis with 2%/2 mm 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 2 mm 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.

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Link to publisher version (DOI)

http://dx.doi.org/10.1016/j.ejmp.2016.09.016