MO-D-BRB-08: BEST IN PHYSICS (THERAPY) - A Real Time Dose Monitoring and Dose Reconstruction Tool for Patient Specific VMAT QA and Delivery.

Abstract

To develop a real time dose monitoring and dose reconstruction tool to identify and quantify sources of errors during patient specific VMAT delivery and QAMethods: The VMAT delivery monitor tool called Linac Data Monitor (LDM) has been developed that connects to the linac in clinical mode and displays, records and compares real-time machine parameters to the planned parameters. A new quantity called integral error keeps a running total of leaf overshoot and undershoots errors in each leaf pair multiplied by leaf width and the amount of time during which error exists in MU delivery. Another tool reconstructs pinnacle format delivered plan based on the saved machine logfile and recalculates actual delivered dose in patient anatomy. Delivery characteristics of various standard and hypofractionation VMAT plans delivered on Elekta Axesse and Synergy linacs were quantified. The MLC and gantry errors for all the treatment sites were 0.00±0.59mm and 0.05±0.31°, indicating a good MLC gain calibration. Standard fractionation plans had a larger gantry error than hypofractionation plans due to frequent dose rate changes. On average the MLC errors were negligible but larger errors of 4-6 mm and 2.5° were seen when dose rate varied frequently. Large gantry errors occurred during the acceleration and deceleration process, and correlated well with MLC errors (p<0.0001). PTV mean, minimum, maximum dose discrepancy were 0.87±0.21%, 0.99±0.59% and 1.18±0.52%. The other OAR doses were within 2.5% except a few that showed up to 5.6% discrepancy in maximum dose. Realtime displayed normalized total positive integral error (normalized to the total MUs) correlated linearly with MLC and gantry errors (p<0.001) and dosimetric discrepancy (PTVmean: p<0.01; PTVmax: p<0.067 and PTVmax: p<0.046). Errors may exist during complex VMAT planning and delivery. LDM is capable of detecting and quantifying mechanical and dosimetric errors at various stages of planning and delivery.