Literature DB >> 31801119

Validation of linear energy transfer computed in a Monte Carlo dose engine of a commercial treatment planning system.

Dirk Wagenaar1, Linh T Tran, Arturs Meijers, Gabriel Guterres Marmitt, Kevin Souris, David Bolst, Benjamin James, Giordano Biasi, Marco Povoli, Angela Kok, Erik Traneus, Marc-Jan van Goethem, Johannes A Langendijk, Anatoly B Rosenfeld, Stefan Both.   

Abstract

The relative biological effectiveness (RBE) of protons is highly variable and difficult to quantify. However, RBE is related to the local ionization density, which can be related to the physical measurable dose weighted linear energy transfer (LETD). The aim of this study was to validate the LETD calculations for proton therapy beams implemented in a commercially available treatment planning system (TPS) using microdosimetry measurements and independent LETD calculations (Open-MCsquare (MCS)). The TPS (RayStation v6R) was used to generate treatment plans on the CIRS-731-HN anthropomorphic phantom for three anatomical sites (brain, nasopharynx, neck) for a spherical target (Ø  =  5 cm) with uniform target dose to calculate the LETD distribution. Measurements were performed at the University Medical Center Groningen proton therapy center (Proteus Plus, IBA) using a µ +-probe utilizing silicon on insulator microdosimeters capable of detecting lineal energies as low as 0.15 keV µm-1 in tissue. Dose averaged mean lineal energy [Formula: see text] depth-profiles were measured for 70 and 130 MeV spots in water and for the three treatment plans in water and an anthropomorphic phantom. The [Formula: see text] measurements were compared to the LETD calculated in the TPS and MCS independent dose calculation engine. D · [Formula: see text] was compared to D · LETD in terms of a gamma-index with a distance-to-agreement criteria of 2 mm and increasing dose difference criteria to determine the criteria for which a 90% pass rate was accomplished. Measurements of D · [Formula: see text] were in good agreement with the D · LETD calculated in the TPS and MCS. The 90% passing rate threshold was reached at different D · LETD difference criteria for single spots (TPS: 1% MCS: 1%), treatment plans in water (TPS: 3% MCS: 6%) and treatment plans in an anthropomorphic phantom (TPS: 6% MCS: 1%). We conclude that D · LETD calculations accuracy in the RayStation TPS and open MCSquare are within 6%, and sufficient for clinical D · LETD evaluation and optimization. These findings remove an important obstacle in the road towards clinical implementation of D · LETD evaluation and optimization of proton therapy treatment plans. Novelty and significance The dose weighed linear energy transfer (LETD) distribution can be calculated for proton therapy treatment plans by Monte Carlo dose engines. The relative biological effectiveness (RBE) of protons is known to vary with the LETD distribution. Therefore, there exists a need for accurate calculation of clinical LETD distributions. Previous LETD validations have focused on general purpose Monte Carlo dose engines which are typically not used clinically. We present the first validation of mean lineal energy [Formula: see text] measurements of the LETD against calculations by the Monte Carlo dose engines of the Raystation treatment planning system and open MCSquare.

Entities:  

Year:  2020        PMID: 31801119     DOI: 10.1088/1361-6560/ab5e97

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  5 in total

1.  Microdosimetry performance of the first multi-arrays of 3D-cylindrical microdetectors.

Authors:  Diana Bachiller-Perea; Mingming Zhang; Celeste Fleta; David Quirion; Daniela Bassignana; Faustino Gómez; Consuelo Guardiola
Journal:  Sci Rep       Date:  2022-07-18       Impact factor: 4.996

2.  Biomedical Research Programs at Present and Future High-Energy Particle Accelerators.

Authors:  Vincenzo Patera; Yolanda Prezado; Faical Azaiez; Giuseppe Battistoni; Diego Bettoni; Sytze Brandenburg; Aleksandr Bugay; Giacomo Cuttone; Denis Dauvergne; Gilles de France; Christian Graeff; Thomas Haberer; Taku Inaniwa; Sebastien Incerti; Elena Nasonova; Alahari Navin; Marco Pullia; Sandro Rossi; Charlot Vandevoorde; Marco Durante
Journal:  Front Phys       Date:  2020-10-16

3.  Comprehensive Evaluation of Carbon-Fiber-Reinforced Polyetheretherketone (CFR-PEEK) Spinal Hardware for Proton and Photon Planning.

Authors:  Chengyu Shi; Haibo Lin; Sheng Huang; Weijun Xiong; Lei Hu; Isabelle Choi; Robert Press; Shaakir Hasan; Charles Simone; Arpit Chhabra
Journal:  Technol Cancer Res Treat       Date:  2022 Jan-Dec

4.  RBE-weighted dose and its impact on the risk of acute coronary event for breast cancer patients treated with intensity modulated proton therapy.

Authors:  Chunbo Liu; Julie A Bradley; Dandan Zheng; Raymond B Mailhot Vega; Chris J Beltran; Nancy Mendenhall; Xiaoying Liang
Journal:  J Appl Clin Med Phys       Date:  2022-01-21       Impact factor: 2.102

5.  Linear Energy Transfer Incorporated Spot-Scanning Proton Arc Therapy Optimization: A Feasibility Study.

Authors:  Xiaoqiang Li; Xuanfeng Ding; Weili Zheng; Gang Liu; Guillaume Janssens; Kevin Souris; Ana M Barragán-Montero; Di Yan; Craig Stevens; Peyman Kabolizadeh
Journal:  Front Oncol       Date:  2021-07-12       Impact factor: 6.244

  5 in total

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