ridge filter
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Author(s):  
Aleksei Solovev ◽  
Marina Troshina ◽  
Pikalov Vladimir ◽  
Vyacheslav Saburov ◽  
Aleksandr Chernukha ◽  
...  

Abstract The relative biological efficiency of particle irradiation could be predicted with a wide variety of radiobiological models for various end-points. We validate the forecast of modified Microdosimetric Kinetic Model in vitro using combined data of reference Co-60 radiation and carbon ion plateau data for specific cell line to optimize the survival function in spread-out Bragg Peak obtained with an especially designed ridge filter. We used Geant4 Monte-Carlo software to simulate the fragment contribution along Bragg curve inside water phantom, open-source toolkit Survival to predict the expected linear-quadratic model parameters for each fragment, and in-house software to form the total survival curve in spread-out Bragg Peak. The irradiation was performed at U-70 synchrotron with an especially designed Aluminum ridge filter under the control of PTW and in-house ionization chambers. The cell clonogenic assay was conducted with the B14-150 cell line. The data analysis was accomplished using scipy and CERN ROOT. The clonogenic assay represents the survival in spread-out Bragg Peak at different points and qualitatively follows the modeled survival curve very well. The quantitative difference is within 3σ, and the deviation might be explained by the uncertainties of physical modeling using Monte-Carlo methods. Overall, the obtained results are promising for further usage in radiobiological studies or carbon ion radiotherapy. Shaping the survival curve in the region of interest (i.e., spread-out Bragg Peak) is a comprehensive task that requires high-performance computing approaches. Nevertheless, the method's potential application is related to the development of next-generation treatment planning systems for ion beams. This can open a wide range of improvements in patient treatment outcome, provide new optimized fractionation regimes or optimized dose delivery schemes, and serve as an entrance point to the translational science approach.


Cancers ◽  
2017 ◽  
Vol 9 (12) ◽  
pp. 170 ◽  
Author(s):  
Xianliang Wang ◽  
Yupeng Li ◽  
Xiaodong Zhang ◽  
Heng Li ◽  
Koichi Miyazaki ◽  
...  

2017 ◽  
Vol 58 (6) ◽  
pp. 840-848
Author(s):  
Shinya Tajiri ◽  
Mutsumi Tashiro ◽  
Tomohiro Mizukami ◽  
Chihiro Tsukishima ◽  
Masami Torikoshi ◽  
...  

Abstract Carbon-ion therapy by layer-stacking irradiation for static targets has been practised in clinical treatments. In order to apply this technique to a moving target, disturbances of carbon-ion dose distributions due to respiratory motion have been studied based on the measurement using a respiratory motion phantom, and the margin estimation given by the square root of the summation Internal margin2+Setup margin2 has been assessed. We assessed the volume in which the variation in the ratio of the dose for a target moving due to respiration relative to the dose for a static target was within 5%. The margins were insufficient for use with layer-stacking irradiation of a moving target, and an additional margin was required. The lateral movement of a target converts to the range variation, as the thickness of the range compensator changes with the movement of the target. Although the additional margin changes according to the shape of the ridge filter, dose uniformity of 5% can be achieved for a spherical target 93 mm in diameter when the upward range variation is limited to 5 mm and the additional margin of 2.5 mm is applied in case of our ridge filter. Dose uniformity in a clinical target largely depends on the shape of the mini-peak as well as on the bolus shape. We have shown the relationship between range variation and dose uniformity. In actual therapy, the upper limit of target movement should be considered by assessing the bolus shape.


2015 ◽  
Vol 67 (1) ◽  
pp. 96-102
Author(s):  
Yongkeun Song ◽  
Jaeik Shin ◽  
Sungho Cho ◽  
Seunghoon Yoo ◽  
Ilsung Cho ◽  
...  

2015 ◽  
Vol 115 (2) ◽  
pp. 279-283 ◽  
Author(s):  
Akiko Uzawa ◽  
Koichi Ando ◽  
Yuki Kase ◽  
Ryoichi Hirayama ◽  
Yoshitaka Matsumoto ◽  
...  

2014 ◽  
Vol 41 (6Part1) ◽  
pp. 061713 ◽  
Author(s):  
Lorraine Courneyea ◽  
Chris Beltran ◽  
Hok Seum Wan Chan Tseung ◽  
Juan Yu ◽  
Michael G. Herman

2014 ◽  
Vol 64 (9) ◽  
pp. 1308-1313 ◽  
Author(s):  
Chang Hyeuk Kim ◽  
Garam Han ◽  
Hwa-Ryun Lee ◽  
Hyunyong Kim ◽  
Hong Suk Jang ◽  
...  

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