Abstract

Stereotactic body radiation therapy (SBRT) aims to deliver a highly conformal ablative dose to a small target. Dosimetric verification of SBRT for lung tumors presents a challenge due to heterogeneities, moving targets, and small fields. Recent software (M3D) designed for dosimetric verification of lung SBRT treatment plans using an advanced convolution–superposition algorithm was evaluated. Ten lung SBRT patients covering a range of tumor volumes were selected. 3D CRT plans were created using the XiO treatment planning system (TPS) with the superposition algorithm. Dose was recalculated in the Eclipse TPS using the AAA algorithm, M3D verification software using the collapsed‐cone‐convolution algorithm, and in‐house Monte Carlo (MC). Target point doses were calculated with RadCalc software. Near‐maximum, median, and near‐minimum target doses, conformity indices, and lung doses were compared with MC as the reference calculation. M3D 3D gamma passing rates were compared with the XiO and Eclipse. Wilcoxon signed‐rank test was used to compare each calculation method with XiO with a threshold of significance of p<0.05. M3D and RadCalc point dose calculations were greater than MC by up to 7.7% and 13.1%, respectively, with M3D being statistically significant (s.s.). AAA and XiO calculated point doses were less than MC by 11.3% and 5.2%, respectively (AAA s.s.). Median and near‐minimum and near‐maximum target doses were less than MC when calculated with AAA and XiO (all s.s.). Near‐maximum and median target doses were higher with M3D compared with MC (s.s.), but there was no difference in near‐minimum M3D doses compared with MC. M3D‐calculated ipsilateral lung V20 Gy and V5 Gy were greater than that calculated with MC (s.s.); AAA‐ and XiO‐calculated V20 Gy was lower than that calculated with MC, but not statistically different to MC for V5 Gy. Nine of the 10 plans achieved M3D gamma passing rates greater than 95% and 80%for 5%/1 mm and 3%/1 mm criteria, respectively. M3D typically calculated a higher target and lung dose than MC for lung SBRT plans. The results show a range of calculated doses with different algorithms and suggest that M3D is in closer agreement with Monte Carlo, thus discrepancies between the TPS and M3D software will be observed for lung SBRT plans. M3D provides a useful supplement to verification of lung SBRT plans by direct measurement, which typically excludes patient specific heterogeneities.PACS number(s): 87.55.D‐, 87.55.Qr, 87.55.K‐

Highlights

  • IntroductionStereotactic body radiation therapy (SBRT) involves the application of highly conformal dose distributions to small primary tumors and oligometastases with the aim of ablating local disease.[1,2] In the lung, SBRT presents a challenge for dose calculation algorithms due to the small fields and high degrees of density heterogeneity leading to lateral electronic disequilibrium.[3,4] Due to the increasing role of lung SBRT and the potential for unintended consequences if the dose is not calculated correctly, plan verification for lung SBRT must be both efficient and accurate

  • Stereotactic body radiation therapy (SBRT) involves the application of highly conformal dose distributions to small primary tumors and oligometastases with the aim of ablating local disease.[1,2] In the lung, SBRT presents a challenge for dose calculation algorithms due to the small fields and high degrees of density heterogeneity leading to lateral electronic disequilibrium.[3,4] Due to the increasing role of lung SBRT and the potential for unintended consequences if the dose is not calculated correctly, plan verification for lung SBRT must be both efficient and accurate.Use of plan verification software that applies simplistic Type A dose calculation algorithms,(5) may lead to dose discrepancies in lung SBRT plans that are difficult to resolve

  • The results show a range of calculated doses with different algorithms and suggest that M3D is in closer agreement with Monte Carlo, discrepancies between the treatment planning system (TPS) and M3D software will be observed for lung SBRT plans

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Summary

Introduction

Stereotactic body radiation therapy (SBRT) involves the application of highly conformal dose distributions to small primary tumors and oligometastases with the aim of ablating local disease.[1,2] In the lung, SBRT presents a challenge for dose calculation algorithms due to the small fields and high degrees of density heterogeneity leading to lateral electronic disequilibrium.[3,4] Due to the increasing role of lung SBRT and the potential for unintended consequences if the dose is not calculated correctly, plan verification for lung SBRT must be both efficient and accurate. Use of plan verification software that applies simplistic Type A dose calculation algorithms (those that do not take into account lateral scatter variations with density),(5) may lead to dose discrepancies in lung SBRT plans that are difficult to resolve. An independent dose calculation algorithm that takes into account changes in lateral scatter conditions is highly desirable to understand uncertainties in dose calculation algorithms used for clinical treatment planning

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