Feasibility Study Using GEANT4 Monte Carlo Simulations of a PET Cyclotron-Based Neutron Source for Boron Neutron Capture Therapy

2017 ◽  
Vol 67 (11) ◽  
pp. 1319-1326
Author(s):  
Jae Won CHOI ◽  
Bo Sun KANG*
2020 ◽  
Vol 61 (2) ◽  
pp. 214-220 ◽  
Author(s):  
Naonori Hu ◽  
Hiroki Tanaka ◽  
Takushi Takata ◽  
Keita Okazaki ◽  
Ryohei Uchida ◽  
...  

Abstract Boron neutron capture therapy (BNCT) is an emerging radiation treatment modality, exhibiting the potential to selectively destroy cancer cells. Currently, BNCT is conducted using a nuclear reactor. However, the future trend is to move toward an accelerator-based system for use in hospital environments. A typical BNCT radiation field has several different types of radiation. The beam quality should be quantified to accurately determine the dose to be delivered to the target. This study utilized a tissue equivalent proportional counter (TEPC) to measure microdosimetric and macrodosimetric quantities of an accelerator-based neutron source. The micro- and macro-dosimetric quantities measured with the TEPC were compared with those obtained via the the particle and heavy ion transport code system (PHITS) Monte Carlo simulation. The absorbed dose from events >20 keV/μm measured free in air for a 1-h irradiation was calculated as 1.31 ± 0.02 Gy. The simulated result was 1.41 ± 0.07 Gy. The measured and calculated values exhibit good agreement. The relative biological effectiveness (RBE) that was evaluated from the measured microdosimetric spectrum was calculated as 3.7 ± 0.02, similar to the simulated value of 3.8 ± 0.1. These results showed the PHITS Monte Carlo simulation can simulate both micro- and macro-dosimetric quantities accurately. The RBE was calculated using a single-response function, and the results were compared with those of several other institutes that used a similar method. However, care must be taken when using such a single-response function for clinical application, as it is only valid for low doses. For clinical dose ranges (i.e., high doses), multievent distribution inside the target needs to be considered.


Author(s):  
Alexander A. Ivanov ◽  
Artem N. Smirnov ◽  
Sergei Yu. Taskaev ◽  
Boris F. Bayanov ◽  
Yurii I. Belchenko ◽  
...  

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