Estimations of relative biological effectiveness of secondary fragments in carbon ion irradiation of water using CR‐39 plastic detector and microdosimetric kinetic model

2019 ◽  
Vol 47 (2) ◽  
pp. 781-789 ◽  
Author(s):  
Yoshiyuki Hirano ◽  
Satoshi Kodaira ◽  
Hikaru Souda ◽  
Kohei Osaki ◽  
Masami Torikoshi

2020 ◽  
Author(s):  
David B. Flint ◽  
Scott J. Bright ◽  
Conor H. McFadden ◽  
Teruaki Konishi ◽  
Daisuke Ohsawa ◽  
...  

ABSTRACTPurposeTo develop an empirical model to predict radiosensitivity and relative biological effectiveness (RBE) after helium (He) and carbon (C) ion irradiation with or without DNA repair inhibitors.MethodsWe characterized survival in eight human cancer cell lines exposed to 6 MV photons and to He- and C-ions with linear energy transfer (LET) values of 2.2-60.5 keV/μm to verify that the radiosensitivity parameters (D5%, D10%, D20%, D37%, D50% and SF2Gy) correlate linearly between photon and ion radiation with or without DNA-PKcs or ATR inhibitors. Then, we parameterized the LET response of the parameters governing these linear correlations up to LET values of 225 keV/μm using the data in the Particle Irradiation Data Ensemble (PIDE) v3.2 database, creating a model that predicts a cell’s ion radiosensitivity, RBE and ion survival curve for a given LET on the basis of the cell’s photon radiosensitivity. We then trained this model using the PIDE database as a training dataset, and validated it by predicting the radiosensitivity of the cell lines we exposed to He- and C- ions with LET ranging from 2.2-60.5 keV/μm.ResultsRadiosensitivity to ions depended linearly with radiosensitivity of photons in the range of investigated LET values and the slopes and intercepts of these linear relationships within the PIDE database vary exponentially and linearly, respectively. Our model predicted ion radiosensitivity (e.g., D10%) within 5.1–21.3%, RBED10% within 5.0-17.1%, and ion mean inactivation dose within 6.7-25.1% for He- and C-ion LET ranging from 2.2-60.5 keV/μm.ConclusionsRadiosensitivity to He- and C-ions depend linearly with radiosensitivity to photons and can be used to predict ion radiosensitivity, RBE and cell survival curves for clinically relevant LET values from 2.2–60.5 keV/μm, with or without drug treatment.SUMMARYWe present a new empirical model capable of predicting clonogenic cell survival of cell lines exposed to helium and carbon ion beams. Our model is based on an observed linear correlation between radiosensitivity to ions and photons across a wide range of LET values. This linear correlation can be used to predict ion RBE, radiosensitivity, and the cell survival curve for a given LET all based on a cell’s photon survival curve.







2016 ◽  
Vol 43 (6Part42) ◽  
pp. 3842-3842 ◽  
Author(s):  
R Abolfath ◽  
L Bronk ◽  
Y Helo ◽  
J Schuemann ◽  
U. Titt ◽  
...  




2020 ◽  
Vol 93 (1107) ◽  
pp. 20190291 ◽  
Author(s):  
Thomas Friedrich

Hypofractionated radiotherapy is attractive concerning patient burden and therapy costs, but many aspects play a role when it comes to assess its safety. While exploited for conventional photon therapy and carbon ion therapy, hypofractionation with protons is only rarely applied. One reason for this is uncertainty in the described dose, mainly due to the relative biological effectiveness (RBE), which is small for protons, but not negligible. RBE is generally dose-dependent, and for higher doses as used in hypofractionation, a thorough RBE evaluation is needed. This review article focuses on the RBE variability in protons and associated issues or implications for hypofractionation.



2011 ◽  
Vol 52 (1) ◽  
pp. 75-81 ◽  
Author(s):  
Hiroyuki OKAMOTO ◽  
Tatsuaki KANAI ◽  
Yuki KASE ◽  
Yoshitaka MATSUMOTO ◽  
Yoshiya FURUSAWA ◽  
...  




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