Literature DB >> 25086525

Dosimetric comparison of Acuros XB, AAA, and XVMC in stereotactic body radiotherapy for lung cancer.

Yusuke Tsuruta1, Manabu Nakata1, Mitsuhiro Nakamura2, Yukinori Matsuo2, Kyoji Higashimura1, Hajime Monzen2, Takashi Mizowaki2, Masahiro Hiraoka2.   

Abstract

PURPOSE: To compare the dosimetric performance of Acuros XB (AXB), anisotropic analytical algorithm (AAA), and x-ray voxel Monte Carlo (XVMC) in heterogeneous phantoms and lung stereotactic body radiotherapy (SBRT) plans.
METHODS: Water- and lung-equivalent phantoms were combined to evaluate the percentage depth dose and dose profile. The radiation treatment machine Novalis (BrainLab AG, Feldkirchen, Germany) with an x-ray beam energy of 6 MV was used to calculate the doses in the composite phantom at a source-to-surface distance of 100 cm with a gantry angle of 0°. Subsequently, the clinical lung SBRT plans for the 26 consecutive patients were transferred from the iPlan (ver. 4.1; BrainLab AG) to the Eclipse treatment planning systems (ver. 11.0.3; Varian Medical Systems, Palo Alto, CA). The doses were then recalculated with AXB and AAA while maintaining the XVMC-calculated monitor units and beam arrangement. Then the dose-volumetric data obtained using the three different radiation dose calculation algorithms were compared.
RESULTS: The results from AXB and XVMC agreed with measurements within ± 3.0% for the lung-equivalent phantom with a 6 × 6 cm(2) field size, whereas AAA values were higher than measurements in the heterogeneous zone and near the boundary, with the greatest difference being 4.1%. AXB and XVMC agreed well with measurements in terms of the profile shape at the boundary of the heterogeneous zone. For the lung SBRT plans, AXB yielded lower values than XVMC in terms of the maximum doses of ITV and PTV; however, the differences were within ± 3.0%. In addition to the dose-volumetric data, the dose distribution analysis showed that AXB yielded dose distribution calculations that were closer to those with XVMC than did AAA. Means ± standard deviation of the computation time was 221.6 ± 53.1 s (range, 124-358 s), 66.1 ± 16.0 s (range, 42-94 s), and 6.7 ± 1.1 s (range, 5-9 s) for XVMC, AXB, and AAA, respectively.
CONCLUSIONS: In the phantom evaluations, AXB and XVMC agreed better with measurements than did AAA. Calculations differed in the density-changing zones (substance boundaries) between AXB/XVMC and AAA. In the lung SBRT cases, a comparative analysis of dose-volumetric data and dose distributions with XVMC demonstrated that the AXB provided better agreement with XVMC than AAA. The computation time of AXB was faster than that of XVMC; therefore, AXB has better balance in terms of the dosimetric performance and computation speed for clinical use than XVMC.

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Year:  2014        PMID: 25086525     DOI: 10.1118/1.4890592

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  23 in total

1.  Validation of secondary dose calculation system with manufacturer-provided reference beam data using heterogeneous phantoms.

Authors:  Yuji Nakaguchi; Yuya Nakamura; Yohei Yotsuji
Journal:  Radiol Phys Technol       Date:  2019-01-25

2.  Evaluation of dose distribution differences from five algorithms implemented in three commercial treatment planning systems for lung SBRT.

Authors:  Vikren Sarkar; Adam Paxton; Prema Rassiah; Kristine E Kokeny; Ying J Hitchcock; Bill J Salter
Journal:  J Radiosurg SBRT       Date:  2020

3.  Optimizing the flattening filter free beam selection in RapidArc®-based stereotactic body radiotherapy for Stage I lung cancer.

Authors:  J-Y Lu; Z Lin; P-X Lin; B-T Huang
Journal:  Br J Radiol       Date:  2015-07-02       Impact factor: 3.039

4.  Accuracy of dose calculation algorithms for virtual heterogeneous phantoms and intensity-modulated radiation therapy in the head and neck.

Authors:  Ryota Onizuka; Fujio Araki; Takeshi Ohno; Yuji Nakaguchi; Yudai Kai; Yuuki Tomiyama; Kazunari Hioki
Journal:  Radiol Phys Technol       Date:  2016-01

5.  The effect of body contouring on the dose distribution delivered with volumetric-modulated arc therapy technique.

Authors:  Jaegi Lee; Jong Min Park; Hong-Gyun Wu; Jin Ho Kim; Sung-Joon Ye
Journal:  J Appl Clin Med Phys       Date:  2015-11-08       Impact factor: 2.102

6.  Comparative Analysis of Local Control Prediction Using Different Biophysical Models for Non-Small Cell Lung Cancer Patients Undergoing Stereotactic Body Radiotherapy.

Authors:  Bao-Tian Huang; Wu-Zhe Zhang; Li-Li Wu; Pei-Xian Lin; Jia-Yang Lu
Journal:  Biomed Res Int       Date:  2017-06-14       Impact factor: 3.411

7.  A comprehensive dosimetric study on switching from a Type-B to a Type-C dose algorithm for modern lung SBRT.

Authors:  Christina Zhou; Nathan Bennion; Rongtao Ma; Xiaoying Liang; Shuo Wang; Kristina Zvolanek; Megan Hyun; Xiaobo Li; Sumin Zhou; Weining Zhen; Chi Lin; Andrew Wahl; Dandan Zheng
Journal:  Radiat Oncol       Date:  2017-05-05       Impact factor: 3.481

8.  4D dose simulation in volumetric arc therapy: Accuracy and affecting parameters.

Authors:  Thilo Sothmann; Tobias Gauer; René Werner
Journal:  PLoS One       Date:  2017-02-23       Impact factor: 3.240

9.  Difference in dose-volumetric data between the analytical anisotropic algorithm, the dose-to-medium, and the dose-to-water reporting modes of the Acuros XB for lung stereotactic body radiation therapy.

Authors:  Wambaka A Mampuya; Mitsuhiro Nakamura; Yoshinori Hirose; Kenji Kitsuda; Takashi Ishigaki; Takashi Mizowaki; Masahiro Hiraoka
Journal:  J Appl Clin Med Phys       Date:  2016-09-08       Impact factor: 2.102

10.  Correlation between the γ passing rates of IMRT plans and the volumes of air cavities and bony structures in head and neck cancer.

Authors:  Zhengwen Shen; Xia Tan; Shi Li; Xiumei Tian; Huanli Luo; Ying Wang; Fu Jin
Journal:  Radiat Oncol       Date:  2021-07-21       Impact factor: 3.481

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