Abstract
Monte Carlo (MC) simulation, as the most accurate dose calculation algorithm, is available in the MultiPlan treatment planning system for Cyberknife. The main purpose of this work was to perform experiments to thoroughly investigate the accuracy of the MC dose calculation algorithm. Besides the basic MC beam commissioning, two test scenarios were designed. First, single beam tests were performed with a solid water phantom to verify the MC source model in simple geometry. Then, a lung treatment plan on a CIRS thorax phantom was created to mimic the clinical patient treatment. The plan was optimized and calculated using ray tracing (RT) algorithm and then recalculated using MC algorithm. Measurements were performed in both a homogeneous phantom and a heterogeneous phantom (CIRS). Ion‐chamber and radiochromic film were used to obtain absolute point dose and dose distributions. Ion‐chamber results showed that the differences between measured and MC calculated dose were within 3% for all tests. On the film measurements, MC calculation results showed good agreements with the measured dose for all single beam tests. As for the lung case, the gamma passing rate between measured and MC calculated dose was 98.31% and 97.28% for homogeneous and heterogeneous situation, respectively, using 3%/2 mm criteria. However, RT algorithm failed with the passing rate of 79.25% (3%/2 mm) for heterogeneous situation. These results demonstrated that MC dose calculation algorithm in the Multiplan system is accurate enough for patient dose calculation. It is strongly recommended to use MC algorithm in heterogeneous media.
Highlights
The accuracy of dose calculation is crucial to the dose delivered to patients receiving radiotherapy which may drastically affect the clinical outcome.[1]
The root mean square (RMS) of tissue phantom ratio (TPR) is 0.6% averaged for all collimators
The distance to agreement (DTA) at the off-center ratio (OCR) penumbra region is within 0.2 mm
Summary
The accuracy of dose calculation is crucial to the dose delivered to patients receiving radiotherapy which may drastically affect the clinical outcome.[1] Overestimation of the delivered dose may result in the loss of tumor control probability (TCP), and on the other hand, underestimation of the delivered dose may increase the normal tissue complication probability (NTCP).[2] the accuracy of dose calculation algorithms used in the treatment planning system (TPS) should be investigated thoroughly before clinical practice No detailed report of such work has been published so far
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