Chin. Phys. Lett.  2018, Vol. 35 Issue (6): 068701    DOI: 10.1088/0256-307X/35/6/068701
CROSS-DISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY |
Microdosimetric Evaluation on the Metallic Nanoparticle-Mediated Dose Enhancement in Radiotherapeutic Proton Irradiation
Ai-Hui Feng1,2, Xiang Li1,2, Xu-Fei Wang1,2**, Xiao-Wa Wang1,3
1Institute of Modern Physics, Fudan University, Shanghai 200433
2Laboratory of Nuclear Physics and Ion-beam Application, Fudan University, Shanghai 200433
3Shanghai Proton and Heavy Ion Center, Shanghai 201315
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Ai-Hui Feng, Xiang Li, Xu-Fei Wang et al  2018 Chin. Phys. Lett. 35 068701
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Abstract Monte Carlo simulations are performed on the dosimetric effect of metallic nanoparticles in a clinical proton irradiation. With an in-water hitting model of a single nanoparticle, the secondary electrons dose, deposited around the particle surface, is calculated for the proton irradiations in a typical spread-out Bragg peak. The dose enhancement, as the ratio of electron doses from the target particle and background water, is evaluated for the dependence on the depth of hitting, particle size, elements, coating material and thickness. The results indicate a significant dose enhancement on the particle surface within $\sim$100 nm, but a fast decay in further distance. The dose enhancement presents a consistency along the spread-out Bragg peak, a positive dependence on both the particle size and electron density, but a strong attenuation by surface coating. Particle cluster may increase the individual dose enhancement by electron crossfire, but is only noticeable in a compact case. The dose enhancement potentiates a radiosensitization use of metallic nanoparticles in clinical proton therapy, but challenging meanwhile with the narrow range of enhancement effect.
Received: 12 February 2018      Published: 19 May 2018
PACS:  87.53.-j (Effects of ionizing radiation on biological systems)  
  87.85.Rs (Nanotechnologies-applications)  
  02.70.Uu (Applications of Monte Carlo methods)  
Fund: Supported by the National Natural Science Foundation of China under Grant Nos 1137504 and 11005019.
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https://cpl.iphy.ac.cn/10.1088/0256-307X/35/6/068701       OR      https://cpl.iphy.ac.cn/Y2018/V35/I6/068701
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Ai-Hui Feng
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Xu-Fei Wang
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