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The microdosimetric extension in TOPAS: development and comparison with published data.
Zhu, Hongyu; Chen, Yizheng; Sung, Wonmo; McNamara, Aimee L; Tran, Linh T; Burigo, Lucas N; Rosenfeld, Anatoly B; Li, Junli; Faddegon, Bruce; Schuemann, Jan; Paganetti, Harald.
Afiliação
  • Zhu H; Department of Radiation Oncology, Massachusetts General Hospital, Boston, MA 02114, United States of America. Department of Engineering Physics, Tsinghua University, Beijing 100084, People's Republic of China. Key Laboratory of Particle and Radiation Imaging (Tsinghua University), Ministry of Education, Beijing 100084, People's Republic of China.
Phys Med Biol ; 64(14): 145004, 2019 07 11.
Article em En | MEDLINE | ID: mdl-31117056
Microdosimetric energy depositions have been suggested as a key variable for the modeling of the relative biological effectiveness (RBE) in proton and ion radiation therapy. However, microdosimetry has been underutilized in radiation therapy. Recent advances in detector technology allow the design of new mico- and nano-dosimeters. At the same time Monte Carlo (MC) simulations have become more widely used in radiation therapy. In order to address the growing interest in the field, a microdosimetric extension was developed in TOPAS. The extension provides users with the functionality to simulate microdosimetric spectra as well as the contribution of secondary particles to the spectra, calculate microdosimetric parameters, and determine RBE with a biological weighting function approach or with the microdosimetric kinetic (MK) model. Simulations were conducted with the extension and the results were compared with published experimental data and other simulation results for three types of microdosimeters, a spherical tissue equivalent proportional counter (TEPC), a cylindrical TEPC and a solid state microdosimeter. The corresponding microdosimetric spectra obtained with TOPAS from the plateau region to the distal tail of the Bragg curve generally show good agreement with the published data.
Assuntos

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 Base de dados: MEDLINE Assunto principal: Radiometria / Eficiência Biológica Relativa / Método de Monte Carlo / Imagens de Fantasmas / Microtecnologia / Modelos Teóricos Tipo de estudo: Health_economic_evaluation / Prognostic_studies Limite: Humans Idioma: En Revista: Phys Med Biol Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 Base de dados: MEDLINE Assunto principal: Radiometria / Eficiência Biológica Relativa / Método de Monte Carlo / Imagens de Fantasmas / Microtecnologia / Modelos Teóricos Tipo de estudo: Health_economic_evaluation / Prognostic_studies Limite: Humans Idioma: En Revista: Phys Med Biol Ano de publicação: 2019 Tipo de documento: Article