Simulación de dosis absorbida en terapia molecular mediante método de Montecarlo utilizando software libre GEANT4: GATE

RESUMEN Fundamento: aún no existe una forma óptima para determinar la dosis absorbida por los tumores; este desconocimiento es la causa de que la dosis final del tratamiento sea impredecible. Por esta causa los pacientes pueden estar recibiendo dosis mayores que las mínimas requeridas para su correcto diagnóstico. Objetivo: crear un código fuente para un proyecto de aplicación del programa GATE en la simulación de la dosis absorbida en radioterapia molecular, por método Montecarlo, para un maniquí de Giap. Métodos: se realizó la simulación por método de Montecarlo a partir de modelar el maniquí de Giap, mediante la plataforma de simulación GATE. Se compararon los resultados obtenidos con la información reflejada en la bibliografía sobre las mejores prácticas estandarizadas. Resultados: se confeccionó un código fuente implementado en GATE para la determinación de la dosis absorbida en radioterapia molecular. Se obtuvo distribución no uniforme de dosis en un medio de actividad uniforme y un 2 % de incertidumbre aproximado (en buena correspondencia con los valores reportados en la literatura), los resultados permiten afirmar que la simulación de dosis por medio de la plataforma GATE es confiable, de poco gasto computacional y altamente recomendable. Conclusiones: es recomendable utilizar la plataforma GATE para la simulación del cálculo de la dosis absorbida por ser rápida, de bajo costo computacional y confiable.

ABSTRACT Background: there is still no optimal way to determine the dose absorbed by tumors; this lack of knowledge is the reason why the final dose of treatment is unpredictable. For this reason, patients may be receiving doses greater than the minimum required for their correct diagnosis. Objective: to create a source code for an application project of the GATE program in the simulation of absorbed dose in molecular radiotherapy, by Monte Carlo method, for a Giap phantom. Methods: the simulation was carried out by the Montecarlo method from modeling the Giap phantom, using the GATE simulation platform. The results obtained were compared with the information reflected in the bibliography on standardized best practices. Results: a source code implemented in GATE was prepared for the determination of the absorbed dose in molecular radiotherapy. Non-uniform distribution of doses was obtained in a medium with uniform activity and an approximate 2% uncertainty (in correspondence with the values reported in the literature), the results allow to affirm that the dose simulation through the GATE platform is reliable, of little computational expense and highly recommended. Conclusions: it is advisable to use the GATE platform for the simulation of the calculation of the absorbed dose because it is fast, of low computational cost and reliable.

A sourceless efficiency calibration method based on the coupling of Monte Carlo simulation and analytical calculation / 中国辐射卫生

Objective To establish a sourceless efficiency calibration method by coupling Monte Carlo simulation with analytical calculation. Methods Monte Carlo simulation was used to calculate the point-to-point detection efficiency of specific detectors to establish a detection efficiency grid. The detection efficiency of point source, disc, cylindrical, beaker, spherical, U-tube and Marlin cup samples was analyzed using numerical integration method after detection efficiency grid interpolation. Results The above coupling method was used for sourceless efficiency calibration. Within the energy range of 0.2–3 MeV, the relative deviation of calibration between coupling method and Monte Carlo simulation was mostly less than 10%, the maximum relative deviation was 18.06%, and the computation time was reduced by at least 86%. The above coupling method was used for sourceless efficiency calibration of an HPGe detector manufactured by ORTEC for point source detection, which was in good agreement with the experimental calibration, and the relative deviations were less than 10%. Conclusion This method can be generalized and used in the sourceless efficiency calibration of HPGe, LaBr3, and NaI detectors.

Effects of grid methods on precision and efficiency of specific absorbed fraction calculation in Monte Carlo simulation / 中国辐射卫生

@#<b>Objective</b> To compare the precision and efficiency of computing the specific absorbed fraction (SAF) of a reference human with two grid methods in MCNP6.0. <b>Methods</b> Based on the adult female reference voxel phantom provided by the International Commission on Radiological Protection, assuming the liver as the source organ emitting single-energy photons (0.5 MeV), the SAF of each target organ/tissue was calculated by using the mesh method and repeated structure lattice method with the F4, F6, and *F8 tally cards in MCNP6.0. We compared the methods by assessing the relative deviation of SAF and computing time for 27 organs/tissues. <b>Results</b> Compared with reported data, the absolute values of relative deviations of SAF values for all the organs/tissues were less than 5%, except for the eye lens and skin. By using the repeated structure lattice-based *F8 tally, the relative deviations of SAF values of the organs/tissues were all smallest, but with the longest computing time. The computing time of the mesh-based F4 tally was slightly longer than that of the repeated structure lattice-based F6 tally, which was shortest. <b>Conclusion</b> The *F8 tally simultaneously simulating primary and secondary particle transport showed the highest precision. The mesh tally requireda longer computing time than the lattice tally when using the same tally card.

Ferramenta in silico para desenvolvimento de métodos cromatográficos - aplicação em misturas de filtros solares / In silico tool for development of chromatographic methods - application in mixtures of sunscreensPalavras-chave em inglês

Planejamento de Experimentos (DoE) permite obter e explorar conhecimentos sobre inúmeros sistemas, facilitando a coleta de informações com reduzido número de experimentos. No entanto, DoE é restrito ao delineamento do desenho experimental. Para superar essa limitação e permitir uma previsão precisa dos tempos de retenção para uma seleção de filtros UV orgânicos sob diversas condições, usamos a Relação Quantitativa entre Estrutura e Retenção combinada com o método de Monte Carlo para desenvolver uma plataforma in silico capaz de prever o perfil cromatográfico de filtros UV orgânicos. Sete analitos foram usados para estabelecer o modelo de predição: benzofenona-3, avobenzona, ethilhexil triazona, octil dimetil PABA, metoxicinamato de octila, tinosorb® S e octocrileno. Os valores residuais obtidos no modelo de análise de regressão múltipla mostraram distribuição normal, homocedasticidade e independência. Os coeficientes de determinação (R2) e predição (R2 pred) foram de 99,82% e 99,71%, respectivamente. A plataforma in silico apresentou grande potencial para predição do perfil cromatográfico de filtros UV orgânicos, da coeluição de analitos, de seus parâmetros cromatográficos, além de permitir, sem experimentação, uma visão geral do comportamento de retenção de compostos sob diversas condições cromatográficas

Design of Experiments (DoE) allows obtaining and explorer knowledge about innumerous systems, facilitating the information collection with reduced number of experiments. However, DoE is restricted to the limited range which experimental design was delineated. In order to overcome this limitation and enable accurate prediction of retention times for a selection of organic UV filters under various conditions, we used the Quantitative Structure-Retention Relationships tool combined with Monte Carlo method to develop an in silico platform capable of predicting chromatographic profile of organic UV filters. Seven analytes were used to established to prediction model: benzophenone-3, butyl methoxydibenzoilmethane, ethylhexyl triazone, ethylhexyl dimetyl PABA, ethylhexyl methoxycinnamate, bisethylhexyloxyphenol methoxyphenyl triazine and octocrylene. Residual values obtained from multiple regression analysis model showed normal distribution, homoscedasticity, and independence. Determination (R2) and prediction (R2 pred) coefficients were found to be 99,82% and 99,71%, respectively. In silico platform presented great potential for predicting chromatographic profile of organic UV filters, analytes coelution, chromatographic parameters and allowing, without experimentation, an overview of retention behavior of compounds under various chromatographic conditions

Radiation safety analysis of emergency repair personnel in the reactor cabin under the natural circulation condition of the reactor / 中国辐射卫生

Objective Radiation safety of emergency repair personnel in the reactor cabin under the natural circulation condition of the reactor is studied, the radiation protection method of emergency repair personnel in the reactor cabin is described, which provides a theoretical reference for personnel radiation protection and emergency repair time control. Methods The radiation was simulated by the Monte Carlo method for emergency repair personnel in the reactor cabin under the natural circulation condition of the reactor, and the radiation was also analyzed with the radiation data measured by experiments in the reactor cabin under the natural circulation condition of the reactor. Results The neutron dose of external irradiation about reactor simulated computation was 140 μSv/h, and gamma radiation dose rate was 48 μSv/h. By experiment and calculation, the effective dose received by emergency repair personnel in the 30-minutein the reactor cabin was 2.2 mSv. Conclusions Under the natural circulation condition of the reactor, the gamma radiation is harmful to emergency repair personnel, but the focus of protection is different locations for maintenance. It's safe for emergency personnel to repair the reactor in 30 minutes in turn, wearing the respirators.

Monte Carlo simulation of the radiation transport in chromium compensated gallium arsenide detectors / Simulación por Monte Carlo del transporte de las radiaciones en detectores dearseniuro de galio compensado con cromo

Abstract Some results obtained with the use of Monte Carlo mathematical simulation of radiation transport in Timepix hybrid detectors based on chromium compensated gallium arsenide are presented in this contribution. The MCNPX, GEANT4, SRIM and MCCM code systems were used for this purpose. The in-depth profiles of the deposited energy by the incident photons within the sensor active volume, the shapes and dimensions of the generated charge carriers clouds for different incident energies and specific geometrical conditions were obtained and presented. The 22Ne ions ranges in the target material for two different energies and the contributions of each energy loss channel were also determined. Finally, for a selected detector irradiated with photons of different energies, the displacement cross sections for each chemical element in the active material, as well as the number of displacements per atoms produced for each atomic species were calculated.

Resumen En este trabajo se presentan algunos de los resultados obtenidos con el uso de la modelación matemática por Monte Carlo del transporte de radiación en detectores híbridos Timepix basados en el arseniuro de galio compensado con cromo. Se emplearon para este propósito los sistemas de códigos MCNPX, GEANT4, SRIM y MCCM. Fueron obtenidos los perfiles en profundidad de la energía depositada por la radiación incidente dentro del volumen activo del sensor, las formas y dimensiones de las nubes de portadores de cargas generados por fotones incidentes de diferentes energías y condiciones geométricas específicas. También se determinaron los alcances de los iones de 22Ne de dos energías diferentes en el material blanco y las contribuciones de cada canal de pérdida de energía. Finalmente, para un detector seleccionado irradiado con fotones de diferentes energías se calcularon las secciones eficaces de desplazamiento para cada elemento químico en el material activo, así como el número de desplazamientos por átomos producidos para cada especie atómica.

Exploring the possibility of radiography in emission mode at higher energies: Improving the visualization of the internal structure of paintings / Explorando las posibilidades de la radiografía en modo de emisión a altas energías: Cómo optimizar la visualización de la estructura interna en pinturas

Summary We demonstrated in previous investigations that the internal structure of paintings can be visualized with conventional radiography in transmission mode when paintings have the proper stratigraphy. Unfortunately, there are many paintings that do not result in useful images. This problem can be solved by using radiography in emission mode. With this technique, the painting is irradiated with high energetic X-rays originating from an X-ray tube operating at 100 keV - 320 keV while inside the painting low energetic signals such as photoelectrons or characteristic photons are being generated. These signals escape from the top 10 µm of the painting and are able to illuminate the imaging plate. However, this technique has also some disadvantages. One of them is that it is not able to visualize underlying paintings. In this study, we explored the possibility to enhance the information depth by increasing the energy of the photon source from 100 keV up to 1.3325 MeV (i.e., 60Co source). At the same time, we also studied how the contrast between pigments is generated in emission mode. For this, we used mathematical simulation of particle transport in matter to understand the relation between input particle (particle type such as photon, electron or positron and the energy of the particle), the material being irradiated (element from which it is composed, thickness and density) and the output signal (generated particle types and energy). Finally, we will show that it is possible to image paintings using a 192Ir and even a 60Co source.

Resumen En investigaciones previas se ha demostrado que la estructura interna de las pinturas se puede visualizar satisfactoriamente con la radiografía convencional en modo de transmisión, siempre y cuando dichas pinturas tengan la estratigrafía adecuada. Desafortunadamente, hay muchos casos en los que la aplicación de este método no resultan en imágenes útiles. Este problema puede ser resuelto usando la radiografía en modo de emisión. Con esta técnica, la pintura se irradia con rayos X de alta energía originados en un tubo de rayos X trabajando entre 100 keV y 320 keV. Esto genera señales de baja energía (fotoelectrones o fotones característicos) en el interior de la pintura que, al escapar de las 10 μm superiores, pueden iluminar una placa de imágenes. No obstante, su aplicación también implica ciertas desventajas. Una de ellas es la incapacidad de visualizar las pinturas subyacentes. En este estudio, exploramos la posibilidad de incrementar la información obtenida a mayores profundidades aumentando la energía de la fuente de fotones desde 100 keV hasta 1.3325 MeV (fuente de 60Co). También estudiamos el impacto de esta energía en el contraste obtenido entre los pigmentos. Para esto, utilizamos la simulación matemática del transporte de partículas en la materia para comprender la relación entre partículas de entrada (fotones, electrones o positrones y la energía de las partículas), el material que se irradia (elemento del que está compuesto, espesor) y la señal de salida (tipos de partículas generados y energía). Finalmente, mostraremos que es posible crear imágenes de pinturas usando una fuente 60Co.

Evaluación por Monte Carlo de los métodos de corrección de dispersión con empleando colimador pinhole / Monte Carlo evaluation of scattering correction methods in studies using pinhole collimator

La dispersión es un efecto significativo a corregir para la cuantificación de actividad. El objetivo del trabajo fue estimar la influencia de la dispersión en estudios de tiroides con 131I y colimador pinhole (5 mm) empleando el método de Monte Carlo (MC) y evaluar la eficacia de los métodos de corrección de múltiples ventanas en este tipo de estudios. Para simular la geometría de la cámara gamma y el estudio de tiroides se utilizó el código de Monte Carlo GAMOS. Para validar la geometría del cabezal se simuló y verificó experimentalmente un maniquí de tiroides, comparando la sensibilidad estimada con la medida, experimentalmente en agua y aire. Para evaluar la influencia de la dispersión a escala clínica se simularon diferentes tamaños de tiroides y profundidades del tejido, se estimaron y compararon los resultados de los métodos de Triple Ventana, Doble Ventana y Doble Ventana Reducida. Se calcularon las diferencias relativas al valor de referencia obtenido por MC. La geometría modelada fue verificada y validada. La contribución de la dispersión a la imagen fue significativa y se ubicóentre el 27 y 40 % a escala no clínica. Las discrepancias de los resultados de los diferentes métodos de corrección de dispersión a escala clínica fueron significativas (p>95 %) y estuvieron en el rango entre 9 y 86 %. El método de mejores resultados fue el de la Doble Ventana Reducida (15 %) que mostró discrepancias entre 9 y 16 %. Se concluyó que el método de la Doble Ventana Reducida (15 %) fue el más eficiente de los estudiados

Scattering is quite important for image activity quantification. In order to study the scattering factors and the efficacy of 3 multiple window energy scatter correction methods during 131I thyroid studies with a pinhole collimator (5 mm hole) a Monte Carlo simulation (MC) was developed. The GAMOS MC code was used to model the gamma camera and the thyroid source geometry. First, to validate the MC gamma camera pinhole-source model, sensibility in air and water of the simulated and measured thyroid phantom geometries were compared. Next, simulations to investigate scattering and the result of triple energy (TEW), Double energy (DW) and Reduced double (RDW) energy windows correction methods were performed for different thyroid sizes and depth thicknesses. The relative discrepancies to MC real event were evaluated. Results: The accuracy of the GAMOS MC model was verified and validated. The image’s scattering contribution was significant, between 27-40 %. The discrepancies between 3 multiple window energy correction method results were significant (between 9-86 %). The Reduce Double Window methods (15%) provide discrepancies of 9-16 %. Conclusions: For the simulated thyroid geometry with pinhole, the RDW (15 %) was the most effective

Influence of B₁-Inhomogeneity on Pharmacokinetic Modeling of Dynamic Contrast-Enhanced MRI: A Simulation Study

OBJECTIVE: To simulate the B₁-inhomogeneity-induced variation of pharmacokinetic parameters on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). MATERIALS AND METHODS: B₁-inhomogeneity-induced flip angle (FA) variation was estimated in a phantom study. Monte Carlo simulation was performed to assess the FA-deviation-induced measurement error of the pre-contrast R₁, contrast-enhancement ratio, Gd-concentration, and two-compartment pharmacokinetic parameters (K(trans), v(e), and v(p)). RESULTS: B₁-inhomogeneity resulted in −23–5% fluctuations (95% confidence interval [CI] of % error) of FA. The 95% CIs of FA-dependent % errors in the gray matter and blood were as follows: −16.7–61.8% and −16.7–61.8% for the pre-contrast R₁, −1.0–0.3% and −5.2–1.3% for the contrast-enhancement ratio, and −14.2–58.1% and −14.1–57.8% for the Gd-concentration, respectively. These resulted in −43.1–48.4% error for K(trans), −32.3–48.6% error for the v(e), and −43.2–48.6% error for v(p). The pre-contrast R₁ was more vulnerable to FA error than the contrast-enhancement ratio, and was therefore a significant cause of the Gd-concentration error. For example, a −10% FA error led to a 23.6% deviation in the pre-contrast R₁, −0.4% in the contrast-enhancement ratio, and 23.6% in the Gd-concentration. In a simulated condition with a 3% FA error in a target lesion and a −10% FA error in a feeding vessel, the % errors of the pharmacokinetic parameters were −23.7% for K(trans), −23.7% for v(e), and −23.7% for v(p). CONCLUSION: Even a small degree of B₁-inhomogeneity can cause a significant error in the measurement of pharmacokinetic parameters on DCE-MRI, while the vulnerability of the pre-contrast R₁ calculations to FA deviations is a significant cause of the miscalculation.

Validation of the finger counting method using the Monte Carlo simulation

PURPOSE: The dose of drug and the size of instrument are determined based on children's weight. We aimed to validate the finger counting method (FCM) for weight estimation in Korean children using the Monte Carlo simulation. METHODS: We estimated the weight of Korean children aged 1 to 9 years by the FCM. These measurements were compared with the weight extracted by the Monte Carlo simulation applied to the “2007 Korean Children and Adolescents Growth Standard”. Pearson correlation coefficients (r) were measured to assess the correlation between the weight extracted by the simulation and that estimated by FCM. Bland-Altman analyses were performed to assess the agreement between the weight extracted by the simulation and that estimated by FCM and 2 other well-known pediatric weight estimation formulas (the Advanced Pediatric Life Support and Luscombe formulas). RESULTS: Data regarding 9,000 children's weight selected by age and gender was randomly extracted using the simulation. We found a positive correlation between the weight estimated by the FCM and the weight extracted (in boys, r = 0.896, P < 0.001; in girls, r = 0.899, P < 0.001). The FCM tended to underestimate weight in the children aged 7 years or old. CONCLUSION: This article suggests the usefulness of FCM in weight estimation, particularly in children younger than 7 years. With appreciation of the limitation in older children, the FCM could be applied to emergency practice.

Evaluation of Uncertainty of pH Measurement in Pharmaceuticals by Monte Carlo Method / 中国药学杂志

OBJECTIVE: To evaluate the uncertainty of pH measurement in pharmaceuticals. METHODS: Taking glucose and sodium chloride injection as an example, the uncertainty of pH measurement in pharmaceuticals was evaluate by uncertainty transmission rule's method (GUM) and Monte Carlo method (MCM), and the uncertainties obtained by the two methods were compared. RESULTS: The measurement uncertainty obtained by GUM almost agreed with that by MCM. CONCLUSION: MCM is easy and reliable, and can be used as an alternative method for evaluation of the measurement uncertainty in pharmaceutical analysis.

Determinación de la eficiencia de detección de Descripción: Descripción: D:/Scielo/Nucleus html/n 59/img/e01085916.jpgen tiroides utilizando el método Monte Carlo / Determination of the detection efficiency of Descripción: Descripción: D:/Scielo/Nucleus html/n 59/img/e01085916.jpgin thiroid using Monte Carlo method

El Método Monte Carlo fue la base para la estimación de la eficiencia de detección de , utilizando el detector identiFINDER ultra en geometría “tiroides”. Se discute la idoneidad de la metodología de calibración al comparar los resultados del Método Monte Carlo Directo y Corregido, con los valores de eficiencia calculados experimentalmente. El Método Monte Carlo Corregido fue la metodología adoptada debido a que el porcentaje de error estimado, respecto a los resultados experimentales, fue menor que el 10 %. Para las simulaciones, los parámetros geométricos del detector fueron optimizados, utilizando un estudio de tomografía computarizada. El arreglo detector – fuente puntual- fue simulado para obtener los factores de corrección a las distancias prefijadas, y el arreglo detector – maniquí simulador de tiroides- fue simulado para la obtención de la curva de eficiencia de detección, en función de la distancia de medición. Para validar la metodología propuesta, el Laboratorio de Dosimetría Interna del Centro de Protección e Higiene de las Radiaciones participó en un ejercicio de intercomparación regional de estimación, de actividad medida en tiroides, se utilizó para el cálculo de la misma, tanto la metodología tradicional de cálculo de eficiencia como la metodología basada en la utilización del Método Monte Carlo, y se alcanzaron resultados satisfactorios, en todos los casos. Como resultado final de este trabajo, fue obtenida la curva de eficiencia de detección en función de la distancia de , sin necesidad de utilizar simuladores físicos, supliendo, así, la carencia actual de los mismos.

Monte Carlo Method was the base to estimate the detection efficiency of of the identiFINDER ultra detector in “thyroid” geometry. The suitability of the calibration methodology is discussed using a comparison of the results of the Direct Monte Carlo Method and the Transfer Monte Carlo Method calculations with the values of experimentally calculated efficiency. Transfer Monte Carlo Method was the elected methodology because of the differences with the real detection efficiency stay below 10 %. In the simulations, the geometric parameters of the detector were found using a tomography study. The arrangement detector – point source was simulated to obtain the correction factors for preset distances, and the arrangement detector – thyroid phantom was simulated to obtain the detection efficiency curve in function of the distance for . In order to validate the proposed methodology the Internal Dosimetry Laboratory of the Centre for Radiation Protection and Hygiene participated in a regional intercomparison exercise of measured activity estimation in thyroid, for the estimation were used the traditional calculation methodology as well as the methodology base on Monte Carlo Method, the results were satisfactory in both cases. As a final result, the curves of detection efficiency for the measurement of in the thyroid gland was obtained without using physical phantoms, replacing the current lack of it.

Balloon-based adjuvant radiotherapy in breast cancer: comparison between 99mTc and HDR 192Ir / Radioterapia adjuvante em câncer de mama com balão de 99mTc comparativo ao balão HDR 192Ir

Abstract Objective: To perform a comparative dosimetric analysis, based on computer simulations, of temporary balloon implants with 99mTc and balloon brachytherapy with high-dose-rate (HDR) 192Ir, as boosts to radiotherapy. We hypothesized that the two techniques would produce equivalent doses under pre-established conditions of activity and exposure time. Materials and Methods: Simulations of implants with 99mTc-filled and HDR 192Ir-filled balloons were performed with the Siscodes/MCNP5, modeling in voxels a magnetic resonance imaging set related to a young female. Spatial dose rate distributions were determined. In the dosimetric analysis of the protocols, the exposure time and the level of activity required were specified. Results: The 99mTc balloon presented a weighted dose rate in the tumor bed of 0.428 cGy.h-1.mCi-1 and 0.190 cGyh-1.mCi-1 at the balloon surface and at 8-10 mm from the surface, respectively, compared with 0.499 and 0.150 cGyh-1.mCi-1, respectively, for the HDR 192Ir balloon. An exposure time of 24 hours was required for the 99mTc balloon to produce a boost of 10.14 Gy with 1.0 Ci, whereas only 24 minutes with 10.0 Ci segments were required for the HDR 192Ir balloon to produce a boost of 5.14 Gy at the same reference point, or 10.28 Gy in two 24-minutes fractions. Conclusion: Temporary 99mTc balloon implantation is an attractive option for adjuvant radiotherapy in breast cancer, because of its availability, economic viability, and similar dosimetry in comparison with the use of HDR 192Ir balloon implantation, which is the current standard in clinical practice.

Resumo Objetivo: Análise dosimétrica comparativa entre técnicas de implantes temporários de reforço por meio de balões de 99mTc e de 192Ir de alta taxa de dose (high dose rate - HDR) mediante simulação computacional. A hipótese é que ambos produzem dosimetria equivalente em condições pré-estabelecidas de atividade e exposição. Materiais e Métodos: Simulações de implantes com balão preenchido com 99mTc e balão HDR-192Ir foram elaboradas no Siscodes/ MCNP5, modelando em voxels um tórax feminino reproduzido de ressonância magnética de mama jovem. Distribuições espaciais de taxas de dose absorvidas foram geradas. Análises dosimétricas dos protocolos foram apresentadas especificando tempo acumulado e atividade requerida. Resultados: Implante temporário com balão-99mTc apresentou taxa de dose ponderada no leito do tumor, na adjacência do balão, de 0,428 cGyh-1.mCi-1, e a 8-10 mm distante, de 0,190 cGyh-1.mCi-1, enquanto o implante de balão com 192Ir apresentou 0,499 e 0,150 cGyh-1.mCi-1, respectivamente. A exposição de 24 horas para balão-99mTc foi necessária para produzir o reforço de 10,14 Gy com 1,0 Ci, ao passo que para balão HDR-192Ir foram necessários 24 minutos com segmentos de 10,0 Ci para gerar 5,14 Gy no mesmo ponto de referência, ou 10,28 Gy em duas frações de 24 minutos. Conclusão: Implante temporário com balão-99mTc é atrativo para a radioterapia adjuvante do câncer de mama, devido a disponibilidade, viabilidade econômica e equivalência radiodosimétrica ao balão HDR-192Ir, protocolo presente na prática clínica.

Monte Carlo method for proton and heavy ion treatment room shielding calculation / 中华放射医学与防护杂志

Objective To use Monte Carlo method to build a shielding calculation model for the proton and heavy ion treatment room,and to provide a reliable calculation method for shielding design.Methods A Monte Carlo-based FLUKA code was adopted to build the shielding calculation model for the proton and heavy ion treatment room,and to simulate the radiation field distribution in the proton and heavy ion treatment room.The calculation model was verified through the radiation detection around the proton and heavy ions treatment room.Results The FLUKA code-based simulation results were consistent with the radiation detection.Conclusions The shielding calculation model based on FLUKA code can simulate the radiation field from proton and heavy ions.Among the secondary particles,secondary neutrons are the dominant component and the main concern of accelerator shielding design.In shielding calculation,the emphasis should be put on both beam intensity and energy.

Reconstructive dosimetry for cutaneous radiation syndrome

According to the International Atomic Energy Agency (IAEA), a relatively significant number of radiological accidents have occurred in recent years mainly because of the practices referred to as potentially high-risk activities, such as radiotherapy, large irradiators and industrial radiography, especially in gammagraphy assays. In some instances, severe injuries have occurred in exposed persons due to high radiation doses. In industrial radiography, 80 cases involving a total of 120 radiation workers, 110 members of the public including 12 deaths have been recorded up to 2014. Radiological accidents in industrial practices in Brazil have mainly resulted in development of cutaneous radiation syndrome (CRS) in hands and fingers. Brazilian data include 5 serious cases related to industrial gammagraphy, affecting 7 radiation workers and 19 members of the public; however, none of them were fatal. Some methods of reconstructive dosimetry have been used to estimate the radiation dose to assist in prescribing medical treatment. The type and development of cutaneous manifestations in the exposed areas of a person is the first achievable gross dose estimation. This review article presents the state-of-the-art reconstructive dosimetry methods enabling estimation of local radiation doses and provides guidelines for medical handling of the exposed individuals. The review also presents the Chilean and Brazilian radiological accident cases to highlight the importance of reconstructive dosimetry.

Monte Carlo simulation of the efficiency response of a well-type HPGe detector at 46.54 keV / Simulación por Monte Carlo de la respuesta en eficiencia de un detector HPGe tipo pozo a la energía de 46.54 keV

In this paper, we used the Monte Carlo simulations method in a well-type HPGe detector using directly the manufacturer supplied data in order to simulate the effi ciency response at 46.54 keV. The efficiency values were calculated as a function of the fi lling height of the sample into the measurement geometry and results were found in good agreement with experimental data. The main deviations were less than 2.5 % with a mean of 0.9 %, which is totally satisfactory for the purposes of environmental samples measurements. We also present a brief discussion about the response of the detector to different values of its geometric parameters.

En el trabajo se utilizaron los métodos de simulación por Monte Carlo en un detector HPGe tipo pozo, usando directamente los parámetros del fabricante para simular la respuesta en eficiencia a la energía de 46.54 keV. Los valores de efi ciencia se calcularon en función de la altura de la muestra en la geometría de medición y los resultados se correspondieron con los valores experimentales. Las mayores diferencias fueron menores que el 2.5 % con un promedio de 0.9 %, lo que es totalmente satisfactorio para la medición de muestras ambientales. Se presentó una breve discusión sobre la respuesta del detector para diferentes parámetros geométrico.

Evaluación de parámetros tomográficos de una cámara gamma utilizando método Monte Carlo / Evaluation of tomographic ISOCAM Park II gamma camera parameters using Monte Carlo method

En este trabajo se realizó la evaluación de parámetros tomográficos de la cámara gamma Park Isocam II mediante el código Monte Carlo SIMIND. Los parámetros uniformidad, resolución y contraste se evaluaron a través de la simulación del maniquí de Jaszczak. Además, se realizó la evaluación cualitativa del centro de rotación. Los resultados obtenidos en la simulación se evaluaron tomando como referencia las especificaciones del fabricante de la cámara gamma y teniendo en cuenta el Protocolo Nacional de Control de Calidad de Instrumentos de Medicina Nuclear del Centro de Control de Equipos Médicos en Cuba. Se obtuvo un modelo computacional del maniquí de Jaszczak con tres distribuciones diferentes de actividad que se puede usar para realizar estudios con cámaras gamma.

In this paper the evaluation of tomographic ISOCAM Park II gamma camera parameters was performed using the Monte Carlo code SIMIND. The parameters uniformity, resolution and contrast were evaluated by Jaszczak phantom simulation. In addition the qualitative assessment of the center of rotation was performed. The results of the simulation are compared and evaluated against the specifications of the manufacturer of the gamma camera and taking into account the National Protocol for Quality Control of Nuclear Medicine Instruments of the Cuban Medical Equipment Control Center. A computational Jaszczak phantom model with three different distributions of activity was obtained. They can be used to perform studies with gamma cameras.

Aplicación de un modelo de un acelerador Elekta Precise basado en Monte Carlo para la evaluación de la respuesta de detectores de estado sólido / Application of an Elekta Precise lineal accelerator model based on Monte Carlo to evaluate the solid state detectors response

En el trabajo se realizó el análisis de la respuesta de diferentes detectores de estado sólido a partir de un modelo de Monte Carlo de un acelerador lineal Elekta Precise, para los haces de energías de 6 MV y 15 MV. Para ello se realizaron simulaciones con el código EGSnrc. Se calculó la dosis depositada en un maniquí de agua voxelizado con su superficie a 100 cm de la fuente, empleando los valoresóptimos de energía media y FWHM del haz primario de electrones para este modelo. A partir de la dosis depositada en el maniquí se construyeron las curvas de dosis en profundidad y perfiles de dosis a diferentes profundidades. Las curvas se compararon con valores medidos para cada detector empleado en un arreglo experimental similar a la simulación realizada, aplicando criterios de aceptabilidad basados en intervalos de confianza. De forma adicional se analizó para cada caso la dosis en función del tamaño de campo. Se obtuvo una buena correspondencia entre las simulaciones y las mediciones, encontrándose todos los resultados dentro de los márgenes de tolerancia.

The evaluation of the solid state detectors response based on a Monte Carlo model of an Elekta Precise lineal accelerator, was done in this work for the beam energies of 6 y 15 MV. Simulations were performed using the EGSnrc code. Employing the optimal values of mean energy and FWHM from the primary electron beam, deposited dose in a voxelized water phantom at 100 cm of source to surface distance was calculated. Depth dose curves and lateral dose profi les were obtained. Comparison between simulations and the experimental values obtained for each detector, were done using acceptability criteria based on confi dence limits. Additionally outputs factors were analyzed in each one of the study cases. Good agreement between simulations and measurements were reached.

Accurate model of photon beams as a tool for commissioning and quality assurance of treatment planning calculations / Modelo de haces de fotones como una herramienta para el control de calidad de los cálculos en la planificación de tratamientos

Simulation of a linear accelerator (linac) head requires determining the parameters that characterize the primary electron beam striking on the target which is a step that plays a vital role in the accuracy of Monte Carlo calculations. In this work, the commissioning of photon beams (6 MV and 15 MV) of an Elekta Precise accelerator, using the Monte Carlo code EGSnrc, was performed. The influence of the primary electron beam characteristics on the absorbed dose distribution for two photon qualities was studied. Using different combinations of mean energy and radial FWHM of the primary electron beam, deposited doses were calculated in a water phantom, for different field sizes. Based on the deposited dose in the phantom, depth dose curves and lateral dose profiles were constructed and compared with experimental values measured in an arrangement similar to the simulation. Taking into account the main differences between calculations and measurements, an acceptability criteria based on confidence limits was implemented. As expected, the lateral dose profiles for small field sizes were strongly infl uenced by the radial distribution (FWHM). The combinations of energy/FWHM that best reproduced the experimental results were used to generate the phase spaces, in order to obtain a model with the motorized wedge included and to calculate output factors. A good agreement was obtained between simulations and measurements for a wide range of fi eld sizes , being all the results found within the range of tolerance.

La simulación del cabezal de un acelerador lineal requiere de la determinación de los parámetros que caracterizan el haz primario de electrones que incide en el blanco de radiación, los cuales juegan un papel importante en la exactitud de los cálculos con Monte Carlo. En este trabajo se realizó la habilitación de los haces de fotones (6 MV y 15 MV) de un acelerador Elekta Precise, empleando el código de Monte Carlo EGSnrc. De forma adicional se estudió la influencia que ejerce cambios en las características del haz primario de electrones sobre la distribución de dosis absorbida en diferentes campos de radiación. Basado en la dosis absorbida, curvas de dosis en profundidad y perfiles de dosis se calcularon y compararon con valores experimentales medidos en un arreglo similar a las simulaciones empleando criterios de aceptabilidad. Los perfiles de dosis para campos pequeños resultaron ser fuertemente dependientes de la distribución radial (FWHM). Las combinaciones de energías/FWHM que mejor se ajustaron a las mediciones se emplearon en la generación de espacios de fases, para obtener un modelo con la cuña motorizada y para el cálculo de los factores de campo. Se obtuvo muy buena correspondencia entre las mediciones y las simulaciones realizadas, encontrándose todos los resultados dentro de los márgenes de tolerancias.

Application of a Monte Carlo linac model in routine verifications of dose calculations / Aplicación de un modelo de Monte Carlo de un acelerador lineal en la verificación de los cálculos dosimétricos de rutina

The analysis of some parameters of interest in radiotherapy Medical Physics based on an experimentally validated Monte Carlo model of an Elekta Precise lineal accelerator was performed for 6 and 15 MV photon beams. The simulations were performed using the EGSnrc code. As reference for simulations, the values of the previously obtained optimal beam parameters (energy and FWHM) were used. Deposited dose calculations in water phantoms were done, on typical complex geometries commonly are used in acceptance and quality control tests, such as irregular and asymmetric fields. Parameters such as MLC scatter, maximum opening or closing position, and the separation between them were analyzed from calculations in water. Similarly simulations were performed on phantoms obtained from CT studies of real patients, making comparisons of the dose distribution calculated with EGSnrc and the dose distribution obtained from the computerized treatment planning systems used in routine clinical plans. All the results showed a great agreement with measurements, fi nding all of them within tolerance limits. These results allowed the possibility of using the developed model as a robust verifi cation tool for validating calculations in very complex situations, where the accuracy of the available TPS could be questionable.

El análisis de algunos parámetros de interés en la física médica de la radioterapia, basado en un modelo de Monte Carlo de un acelerador Elekta Precise, fue realizado en este trabajo para los haces de fotones de 6 y 15 MV. Las simulaciones se realizaron con el código EGSnrc. Como referencia para las simulaciones, se emplearon los parámetros óptimos (energía y FWHM) previamente calculados. Los cálculos de la dosis absorbida se realizaron con maniquíes de agua sobre geometrías complejas, comúnmente empleadas en las pruebas de aceptación y control de calidad en la clínica. Parámetros de interés como la dispersión en las MLC, máxima posición de apertura o cierre y la separación entre estas se analizaron a partir de los cálculos en agua. De forma similar se realizaron cálculos en maniquíes construidos a partir de los estudios tomográficos, y comparaciones con los resultados reportados por el sistema de planifi cación en dichos casos. Los resultados obtenidos evidenciaron una gran concordancia con las mediciones, encontrándose dentro de los límites de tolerancias reportados. Estos resultados crean la base para el empleo del modelo de Monte Carlo como una herramienta robusta para la verificación y validación de los cálculos de dosis en situaciones de gran complejidad, donde la exactitud de los sistemas de planificación es cuestionable.