Abstract

This work presents a simulation study evaluating relative biological effectiveness at 10% survival fraction (RBE10) of several different positron-emitting radionuclides in heavy ion treatment systems, and comparing these to the RBE10s of their non-radioactive counterparts. RBE10 is evaluated as a function of depth for three positron-emitting radioactive ion beams (10C, 11C and 15O) and two stable ion beams (12C and 16O) using the modified microdosimetric kinetic model (MKM) in a heterogeneous skull phantom subject to a rectangular 50 mm × 50 mm × 60 mm spread out Bragg peak. We demonstrate that the RBE10 of the positron-emitting radioactive beams is almost identical to the corresponding stable isotopes. The potential improvement in PET quality assurance image quality which is obtained when using radioactive beams is evaluated by comparing the signal to background ratios of positron annihilations at different intra- and post-irradiation time points. Finally, the incidental dose to the patient resulting from the use of radioactive beams is also quantified and shown to be negligible.

Details

Title
Monte Carlo investigation of the characteristics of radioactive beams for heavy ion therapy
Author
Chacon, Andrew 1 ; Safavi-Naeini Mitra 2   VIAFID ORCID Logo  ; Bolst, David 3 ; Guatelli Susanna 4 ; Franklin, Daniel R 5 ; Yuma, Iwao 6 ; Akamatsu Go 6 ; Tashima Hideaki 6 ; Yoshida Eiji 6 ; Nishikido Fumihiko 6 ; Kitagawa Atsushi 6 ; Mohammadi Akram 6 ; Gregoire Marie-Claude 7 ; Yamaya Taiga 6 ; Rosenfeld, Anatoly B 4 

1  University of Wollongong, Centre for Medical Radiation Physics, Wollongong, Australia (GRID:grid.1007.6) (ISNI:0000 0004 0486 528X); Australian Nuclear Science and Technology Organisation (ANSTO), Lucas Heights, Australia (GRID:grid.1089.0) (ISNI:0000 0004 0432 8812) 
2  University of Wollongong, Centre for Medical Radiation Physics, Wollongong, Australia (GRID:grid.1007.6) (ISNI:0000 0004 0486 528X); Australian Nuclear Science and Technology Organisation (ANSTO), Lucas Heights, Australia (GRID:grid.1089.0) (ISNI:0000 0004 0432 8812); University of Sydney, Brain and Mind Centre, Sydney, Australia (GRID:grid.1013.3) (ISNI:0000 0004 1936 834X); University of Wollongong, Illawarra Health and Medical Research Institute, Wollongong, Australia (GRID:grid.1007.6) (ISNI:0000 0004 0486 528X) 
3  University of Wollongong, Centre for Medical Radiation Physics, Wollongong, Australia (GRID:grid.1007.6) (ISNI:0000 0004 0486 528X) 
4  University of Wollongong, Centre for Medical Radiation Physics, Wollongong, Australia (GRID:grid.1007.6) (ISNI:0000 0004 0486 528X); University of Wollongong, Illawarra Health and Medical Research Institute, Wollongong, Australia (GRID:grid.1007.6) (ISNI:0000 0004 0486 528X) 
5  University of Technology Sydney, Faculty of Engineering and IT, Ultimo, Australia (GRID:grid.117476.2) (ISNI:0000 0004 1936 7611) 
6  National Institutes for Quantum and Radiological Science and Technology, National Institute of Radiological Sciences (NIRS), Inage-ku, Japan (GRID:grid.482503.8) (ISNI:0000 0004 5900 003X) 
7  University of Wollongong, Centre for Medical Radiation Physics, Wollongong, Australia (GRID:grid.1007.6) (ISNI:0000 0004 0486 528X); Australian Nuclear Science and Technology Organisation (ANSTO), Lucas Heights, Australia (GRID:grid.1089.0) (ISNI:0000 0004 0432 8812); University of Sydney, Brain and Mind Centre, Sydney, Australia (GRID:grid.1013.3) (ISNI:0000 0004 1936 834X) 
Publication year
2019
Publication date
2019
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.1038/s41598-019-43073-1
ProQuest document ID
2214989764
Copyright
© The Author(s) 2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.