Literature DB >> 31998819

An Integrated Framework Based on Full Monte Carlo Simulations for Double-Scattering Proton Therapy.

Jiankui Yuan1, David Mansur1, Min Yao1, Tithi Biswas1, Yiran Zheng1, Rick Jesseph1, Jian-Yue Jin1, Mitchell Machtay1.   

Abstract

PURPOSE: We developed an integrated framework that employs a full Monte Carlo (MC) model for treatment-plan simulations of a passive double-scattering proton system.
MATERIALS AND METHODS: We have previously validated a virtual machine source model for full MC proton-dose calculations by comparing the percentage of depth-dose curves, spread-out Bragg peaks, and lateral profiles against measured commissioning data. This study further expanded our previous work by developing an integrate framework that facilitates its clinical use. Specifically, we have (1) constructed patient-specific applicator and compensator numerically from the plan data and incorporated them into the beamline, (2) created the patient anatomy from the computed tomography image and established the transformation between patient and machine coordinate systems, and (3) developed a graphical user interface to ease the whole process from importing the treatment plan in the Digital Imaging and Communications in Medicine format to parallelization of the MC calculations. End-to-end tests were performed to validate the functionality, and 3 clinical cases were used to demonstrate clinical utility of the framework.
RESULTS: The end-to-end tests demonstrated that the framework functioned correctly for all tested functionality. Comparisons between the treatment planning system calculations and MC results in 3 clinical cases revealed large dose difference up to 17%, especially in the beam penumbra and near the end of beam range. The discrepancy likely originates from a variety of sources, such as the dose algorithms, modeling of the beamline, and the dose metric. The agreement for other regions was acceptable.
CONCLUSION: An integrated framework was developed for full MC simulations of double-scattering proton therapy. It can be a valuable tool for dose verification and plan evaluation. © Copyright 2019 The Author(s).

Entities:  

Keywords:  Monte Carlo; double scattering; proton therapy; source model

Year:  2019        PMID: 31998819      PMCID: PMC6986400          DOI: 10.14338/IJPT-19-00063.1

Source DB:  PubMed          Journal:  Int J Part Ther        ISSN: 2331-5180


  20 in total

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Authors:  A Tourovsky; A J Lomax; U Schneider; E Pedroni
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Journal:  Phys Med Biol       Date:  2005-10-19       Impact factor: 3.609

5.  Monte Carlo simulations for configuring and testing an analytical proton dose-calculation algorithm.

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Journal:  Phys Med Biol       Date:  2007-07-10       Impact factor: 3.609

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7.  Investigation of Nonuniform Dose Voxel Geometry in Monte Carlo Calculations.

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Journal:  Technol Cancer Res Treat       Date:  2014-09-14

8.  Pencil Beam Algorithms Are Unsuitable for Proton Dose Calculations in Lung.

Authors:  Paige A Taylor; Stephen F Kry; David S Followill
Journal:  Int J Radiat Oncol Biol Phys       Date:  2017-06-13       Impact factor: 7.038

9.  Clinical implementation of full Monte Carlo dose calculation in proton beam therapy.

Authors:  Harald Paganetti; Hongyu Jiang; Katia Parodi; Roelf Slopsema; Martijn Engelsman
Journal:  Phys Med Biol       Date:  2008-08-13       Impact factor: 3.609

10.  TOPAS Simulation of the Mevion S250 compact proton therapy unit.

Authors:  Michael Prusator; Salahuddin Ahmad; Yong Chen
Journal:  J Appl Clin Med Phys       Date:  2017-04-26       Impact factor: 2.102

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