Automated QA Analysis of VMAT Delivery Errors Using Trajectory Log Files
G Tang1*, M Chan2, A Wang1, J Yang1, P Zhang1, G Mageras1, (1) Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, NY, (2) Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, Basking Ridge, NJSU-D-105-6 Sunday 2:05PM - 3:00PM Room: 105
Purpose: To investigate the sensitivity of trajectory log analysis for detecting small VMAT delivery errors with an automated program.
Methods: For each treatment, Varian TrueBeam™ generates a set of trajectory log files that record accumulated MU, MLC positions, and gantry angle every 10 ms during delivery. An automated computer program analyzes discrepancies between planned and actual leaf positions. Any leaf that exceeds 0.5 mm discrepancy for >15% of the total beam-on time is flagged and an alert sent to a physicist for further investigation. To validate the method, 6 different "induced-error" VMAT plans were generated by modifying a lung VMAT plan with an intended error: gantry angle error of 0.5 and 1.0 deg, position error of one leaf of 0.5, 1.0, 1.5, and 2.0 mm. All plans were delivered and trajectory logs were collected. The dosimetric effect of the induced errors was evaluated by reconstructing dose distributions from the trajectory logs and comparing to the original error-free plan.
Results: The proposed method is sensitive and can detect gantry error down to 0.5 deg and MLC leaf error of 0.5 mm without any false positives (i.e. no error detected for other leaves). No dose difference was observed for gantry angle errors of 0.5-1.0 deg, while the maximum dose discrepancy from a MLC position error of 0.5 mm was 1% and increased to 3% for a leaf error of 2 mm, with a passing rate of 99.6% and 97.7% for gamma analysis (1%/0 mm), respectively.
Conclusion: Analysis of trajectory log files is highly sensitive and provides an efficient and accurate method of detecting treatment delivery errors down to sub-millimeters. The automated program can be run daily for treatment validation and can be used also as a pre-treatment QA tool.
Funding Support, Disclosures, and Conflict of Interest: Research grant from Varian Medical Systems
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