Literature DB >> 28072575

Systematics of relative biological effectiveness measurements for proton radiation along the spread out Bragg peak: experimental validation of the local effect model.

Rebecca Grün1, Thomas Friedrich, Michael Krämer, Michael Scholz.   

Abstract

The purpose of this study is to compare the predictions of the local effect model (LEM) in an extensive analysis to proton relative biological effectiveness (RBE) experiments found in the literature, and demonstrate the capabilities of the model as well as to discuss potential limitations. 19 publications with in vitro experiments and 10 publications with in vivo experiments focusing on proton RBE along the spread out Bragg peak (SOBP) were considered. In total the RBE values of over 100 depth positions were compared to LEM predictions. The treatment planning software TRiP98 was used to reconstruct the proton depth dose profile, and, together with the physical dose distribution, the RBE prediction was conducted based on the LEM. Only parameters from photon dose response curves are used as input for the LEM, and no free parameters are introduced, thus allowing us to demonstrate the predictive power of the LEM for protons. The LEM describes the RBE adequately well within the SOBP region with a relative deviation of typically less than 10% up to 10 keV µm-1. In accordance with previous publications a clear dependence of RBE on the dose-averaged linear energy transfer (LETD) was observed. The RBE in the experiments tends to increase above 1.1 for LETD values above 2 keV µm-1 and above 1.5 for LETD values higher than 10 keV µm-1 (distal part of the SOBP). The dose dependence is most pronounced for doses lower than 3 Gy (RBE). However, both the LEM predictions and experimental data show only a weak dependence of RBE on the tissue type, as characterized by the α/β ratio, which is considered insignificant with regard to the general uncertainties of RBE. The RBE predicted by the LEM shows overall very good agreement with the experimental data within the SOBP region and is in better agreement with the experimental data than the constant RBE of 1.1 that is currently applied in the clinics. All RBE trends deduced from the experiments were also reflected by the LEM predictions, which are purely based on input parameters derived from low-LET photon radiation.

Mesh:

Year:  2017        PMID: 28072575     DOI: 10.1088/1361-6560/62/3/890

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


  10 in total

Review 1.  Proton RBE dependence on dose in the setting of hypofractionation.

Authors:  Thomas Friedrich
Journal:  Br J Radiol       Date:  2019-08-28       Impact factor: 3.039

2.  Impact of DNA Repair Kinetics and Dose Rate on RBE Predictions in the UNIVERSE.

Authors:  Hans Liew; Stewart Mein; Thomas Tessonnier; Christian P Karger; Amir Abdollahi; Jürgen Debus; Ivana Dokic; Andrea Mairani
Journal:  Int J Mol Sci       Date:  2022-06-03       Impact factor: 6.208

3.  Robust intensity-modulated proton therapy to reduce high linear energy transfer in organs at risk.

Authors:  Yu An; Jie Shan; Samir H Patel; William Wong; Steven E Schild; Xiaoning Ding; Martin Bues; Wei Liu
Journal:  Med Phys       Date:  2017-10-26       Impact factor: 4.071

4.  Research Facility for Radiobiological Studies at the University Proton Therapy Dresden.

Authors:  Elke Beyreuther; Michael Baumann; Wolfgang Enghardt; Stephan Helmbrecht; Leonhard Karsch; Mechthild Krause; Jörg Pawelke; Lena Schreiner; Michael Schürer; Cläre von Neubeck; Armin Lühr
Journal:  Int J Part Ther       Date:  2018-09-21

Review 5.  Proton Therapy for Prostate Cancer: Challenges and Opportunities.

Authors:  Darren M C Poon; Stephen Wu; Leon Ho; Kin Yin Cheung; Ben Yu
Journal:  Cancers (Basel)       Date:  2022-02-13       Impact factor: 6.639

6.  Estimate of the Biological Dose in Hadrontherapy Using GATE.

Authors:  Yasmine Ali; Caterina Monini; Etienne Russeil; Jean Michel Létang; Etienne Testa; Lydia Maigne; Michael Beuve
Journal:  Cancers (Basel)       Date:  2022-03-25       Impact factor: 6.639

7.  RBE Model-Based Biological Dose Optimization for Proton Radiobiology Studies.

Authors:  Fada Guan; Changran Geng; Duo Ma; Lawrence Bronk; Matthew Kerr; Yuting Li; Drake Gates; Benjamin Kroger; Narayan Sahoo; Uwe Titt; David Grosshans; Radhe Mohan
Journal:  Int J Part Ther       Date:  2018-09-21

8.  Update of the particle irradiation data ensemble (PIDE) for cell survival.

Authors:  Thomas Friedrich; Tabea Pfuhl; Michael Scholz
Journal:  J Radiat Res       Date:  2021-07-10       Impact factor: 2.724

Review 9.  New insights in the relative radiobiological effectiveness of proton irradiation.

Authors:  K Ilicic; S E Combs; T E Schmid
Journal:  Radiat Oncol       Date:  2018-01-16       Impact factor: 3.481

10.  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

  10 in total

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