Suppr超能文献

SU-E-T-531: Verification of Acuros Dose Calculation Accuracy in Lung SBRT.

作者信息

Wang L, Bush K, Xing L, Mok E

机构信息

Stanford University School of Medicine, Stanford, CA.

出版信息

Med Phys. 2012 Jun;39(6Part18):3827. doi: 10.1118/1.4735620.

Abstract

PURPOSE

The AcurosXB Advanced Dose algorithm (Varian Medical Systems) was reported to give more accurate dose calculation in heterogeneous medium compared with the AAA algorithm. In this work, a validation of AcurosXB dose calculation accuracy is performed for use in lung SBRT.

METHODS

A CIRS (Computerized Imaging Reference Systems, Inc.) lung phantom was used with a tissue equivalent 2cm circular target inserted into the lung. The phantom was customized to hold a Gafchromic EBT2 film through the center of the target. The phantom was CT scanned, and single field (3cm by 3cm anterior/lateral) plans, as well as VMAT plans were created for 6 and 10 MV energies with different delivery modalities (with/without a flattening filter). All plans delivered 500 cGy to the PTV which was the target plus 0.5 cm uniform margin. Plans were delivered on a Varian TrueBeamTM STx using image guidance to locate the isocenter. The film dose was compared with Eclipse v10.0 dose calculated with AAA and Acuros algorithms using FilmQA software (3cognition). Monte Carlo simulations (BEAMnrc/DOSXYZnrc) were performed to further validate AcurosXB calculations.

RESULTS

Within the GTV, AAA and Acuros algorithms were in good agreement with the film measurements to within 2% mean dose difference. AAA calculation consistently overestimated the dose to the lung surrounding the GTV by 5-9% for the 10MV beam and 2-4% for the 6MV beam. Acuros and MC calculations were found to be in good agreement with EBT2 film measurement within 2% at 6MV including the build up and build down regions.

CONCLUSIONS

The CIRS customized lung phantom with EBT2 films was found to be an excellent tool in validating the dose calculation algorithm for lung SBRT application. AcurosXB was found to be more accurate than AAA algorithm in lung and near lung/tissue interfaces.

摘要

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验