The biological effectiveness of neutrons produced during proton therapy in inducing cancer is unknown, but potentially large. In particular, since neutron biological effectiveness is energy dependent, it is necessary to estimate, besides the dose, also the energy spectra, in order to obtain quantities which could be a measure of the biological effectiveness and test current models and new approaches against epidemiological studies on cancer induction after proton therapy. For patients treated with proton pencil beam scanning, this work aims to predict the spatially localized neutron energies, the effective quality factor, the weighting factor according to ICRP, and two RBE values, the first obtained from the saturation corrected dose mean lineal energy and the second from DSB cluster induction. A proton pencil beam was Monte Carlo simulated using GEANT. Based on the simulated neutron spectra for three different proton beam energies a parameterization of energy, quality factors and RBE was calculated. The pencil beam algorithm used for treatment planning at PSI has been extended using the developed parameterizations in order to calculate the spatially localized neutron energy, quality factors and RBE for each treated patient. The parameterization represents the simple quantification of neutron energy in two energy bins and the quality factors and RBE with a satisfying precision up to 85 cm away from the proton pencil beam when compared to the results based on 3D Monte Carlo simulations. The root mean square error of the energy estimate between Monte Carlo simulation based results and the parameterization is 3.9%. For the quality factors and RBE estimates it is smaller than 0.9%. The model was successfully integrated into the PSI treatment planning system. It was found that the parameterizations for neutron energy, quality factors and RBE were independent of proton energy in the investigated energy range of interest for proton therapy. The pencil beam algorithm has been extended using the developed parameterizations in order to calculate the neutron energy, quality factor and RBE.

Neutrons in proton pencil beam scanning: Parameterization of energy, quality factors and RBE

Baiocco, Giorgio;
2016-01-01

Abstract

The biological effectiveness of neutrons produced during proton therapy in inducing cancer is unknown, but potentially large. In particular, since neutron biological effectiveness is energy dependent, it is necessary to estimate, besides the dose, also the energy spectra, in order to obtain quantities which could be a measure of the biological effectiveness and test current models and new approaches against epidemiological studies on cancer induction after proton therapy. For patients treated with proton pencil beam scanning, this work aims to predict the spatially localized neutron energies, the effective quality factor, the weighting factor according to ICRP, and two RBE values, the first obtained from the saturation corrected dose mean lineal energy and the second from DSB cluster induction. A proton pencil beam was Monte Carlo simulated using GEANT. Based on the simulated neutron spectra for three different proton beam energies a parameterization of energy, quality factors and RBE was calculated. The pencil beam algorithm used for treatment planning at PSI has been extended using the developed parameterizations in order to calculate the spatially localized neutron energy, quality factors and RBE for each treated patient. The parameterization represents the simple quantification of neutron energy in two energy bins and the quality factors and RBE with a satisfying precision up to 85 cm away from the proton pencil beam when compared to the results based on 3D Monte Carlo simulations. The root mean square error of the energy estimate between Monte Carlo simulation based results and the parameterization is 3.9%. For the quality factors and RBE estimates it is smaller than 0.9%. The model was successfully integrated into the PSI treatment planning system. It was found that the parameterizations for neutron energy, quality factors and RBE were independent of proton energy in the investigated energy range of interest for proton therapy. The pencil beam algorithm has been extended using the developed parameterizations in order to calculate the neutron energy, quality factor and RBE.
2016
Applied Physics/Condensed Matter/Materials Science encompasses the resources of three related disciplines: Applied Physics, Condensed Matter Physics, and Materials Science. The applied physics resources are concerned with the applications of topics in condensed matter as well as optics, vacuum science, lasers, electronics, cryogenics, magnets and magnetism, acoustical physics and mechanics. The condensed matter physics resources are concerned with the study of the structure and the thermal, mechanical, electrical, magnetic and optical properties of condensed matter. They include superconductivity, surfaces, interfaces, thin films, dielectrics, ferroelectrics and semiconductors. The materials science resources are concerned with the physics and chemistry of materials and include ceramics, composites, alloys, metals and metallurgy, nanotechnology, nuclear materials, adhesion and adhesives. Resources dealing with polymeric materials are listed in the Organic Chemistry/Polymer Science category.
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Medical Research, Diagnosis & Treatment contains studies of existing and developing diagnostic and therapeutic techniques, as well as specific classes of clinical intervention. Resources in this category emphasize the difference between normal and disease states, with the ultimate goal of more effective diagnosis and intervention. Specific areas of interest include pathology and histochemical analysis of tissue, clinical chemistry and biochemical analysis of medical samples, diagnostic imaging, radiology and radiation, surgical research, anesthesiology and anesthesia, transplantation, artificial tissues, and medical implants. Resources focused on the disease, diagnosis, and treatment of specific organs or physiological systems are excluded and are covered in the Medical Research: Organs & Systems category.
Esperti anonimi
Inglese
Internazionale
STAMPA
61
16
6231
6242
12
analytical model; neutron dose; parameterization; proton therapy; Algorithms; Humans; Monte Carlo Method; Radiometry; Relative Biological Effectiveness; Models, Theoretical; Neutrons; Protons; Radiological and Ultrasound Technology; Radiology, Nuclear Medicine and Imaging
http://iopscience.iop.org/article/10.1088/0031-9155/61/16/6231/pdf
4
info:eu-repo/semantics/article
262
Schneider, Uwe; Hälg, Roger A.; Baiocco, Giorgio; Lomax, Tony
1 Contributo su Rivista::1.1 Articolo in rivista
none
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11571/1212048
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