Transitioning from measurement-based to combined patient-specific quality assurance for intensity-modulated proton therapy

Mei Chen, Pablo Yepes, Yoshifumi Hojo, Falk Poenisch, Yupeng Li, Jiayi Chen, Cheng Xu, Xiaodong He, G. Brandon Gunn, Steven J. Frank, Narayan Sahoo, Heng Li, Xiaorong Ronald Zhu, Xiaodong Zhang

Research output: Contribution to journalArticlepeer-review

Abstract

Objective: This study is part of ongoing efforts aiming to transit from measurement-based to combined patient-specific quality assurance (PSQA) in intensity-modulated proton therapy (IMPT). A Monte Carlo (MC) dose-calculation algorithm is used to improve the independent dose calculation and to reveal the beam modeling deficiency of the analytical pencil beam (PB) algorithm. Methods: A set of representative clinical IMPT plans with suboptimal PSQA results were reviewed. Verification plans were recalculated using an MC algorithm developed in-house. Agreements of PB and MC calculations with measurements that quantified by the γ passing rate were compared. Results: The percentage of dose planes that met the clinical criteria for PSQA (>90% γ passing rate using 3%/3 mm criteria) increased from 71.40% in the original PB calculation to 95.14% in the MC recalculation. For fields without beam modifiers, nearly 100% of the dose planes exceeded the 95% γ passing rate threshold using the MC algorithm. The model deficiencies of the PB algorithm were found in the proximal and distal regions of the SOBP, where MC recalculation improved the γ passing rate by 11.27% (p < 0.001) and 16.80% (p < 0.001), respectively. Conclusions: The MC algorithm substantially improved the γ passing rate for IMPT PSQA. Improved modeling of beam modifiers would enable the use of the MC algorithm for independent dose calculation, completely replacing additional depth measurements in IMPT PSQA program. For current users of the PB algorithm, further improving the long-tail modeling or using MC simulation to generate the dose correction factor is necessary.

Original languageEnglish (US)
Article number20190669
JournalBritish Journal of Radiology
Volume93
Issue number1107
DOIs
StatePublished - Mar 1 2020
Externally publishedYes

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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