Application of GEANT4radiation transport toolkit to dose calculations in anthropomorphic phantoms

Rodrigues, Pedro; Trindade, A.; Peralta, L.; Alves, C.; Chaves, A.; Lopes, Maria do Carmo

doi:10.1016/j.apradiso.2004.05.073

Cited by 25 publications

(14 citation statements)

References 25 publications

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“…In addition, there exists limited long-term secondary toxicity data for proton therapy, as presented in several institutional case-series. Much of the supporting evidence for protons is derived from theoretical comparative dosimetric models, with SMN risk assessment by various measurement techniques or Monte Carlo calculations, using generic or anthropomorphic phantom models, and with different source data for risk modeling (Chaves et al, 2004; Rodrigues et al, 2004; Fontenot et al, 2009; Taddei et al, 2009). The effects of fractionation and dose-rate are also not generally considered (Jones, 2009).…”

Section: Resultsmentioning

confidence: 99%

Radiotherapy-Induced Malignancies: Review of Clinical Features, Pathobiology, and Evolving Approaches for Mitigating Risk

Braunstein¹,

Nakamura²

2013

Front. Oncol.

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One of the most significant effects of radiation therapy on normal tissues is mutagenesis, which is the basis for radiation-induced malignancies. Radiation-induced malignancies are late complications arising after radiotherapy, increasing in frequency among survivors of both pediatric and adult cancers. Genetic backgrounds harboring germline mutations in tumor suppressor genes are recognized risk factors. Some success has been found with using genome wide association studies to identify germline polymorphisms associated with susceptibility. The insights generated by genetics, epidemiology, and the development of experimental models are defining potential strategies to offer to individuals at risk for radiation-induced malignancies. Concurrent technological efforts are developing novel radiotherapy delivery to reduce irradiation of normal tissues, and thereby, to mitigate the risk of radiation-induced malignancies. The goal of this review is to discuss epidemiologic, modeling, and radiotherapy delivery data, where these lines of research intersect and their potential impact on patient care.

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Section: Resultsmentioning

confidence: 99%

Radiotherapy-Induced Malignancies: Review of Clinical Features, Pathobiology, and Evolving Approaches for Mitigating Risk

Braunstein¹,

Nakamura²

2013

Front. Oncol.

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“…However, study focusing on fluoroscopy has not been found yet. Previous researches were concerned about the impact of scattered radiation on patient dose [10,11,14,16,17] and radiographic image quality [14,18,19] , and the physical properties of radiation [12,20] , but there has not been study on the occupational dose of radiology department staff. Besides, the results obtained in general X-ray study cannot represent validly in fluoroscopy because the properties of these two modalities are different.…”

Section: Clinical Applications Of Fluoroscopy and Its Radiation Dosementioning

confidence: 99%

“…The knowledge on the nature and geometric patterns of scattered radiation has long been inadequate and researchers have proposed different methods to identify the scattering properties based on different radiation sources. General X-ray machines, computed tomography and radionuclide imaging have been considered as the main foci in radiology studies [10][11][12][13][14][15] . However, study focusing on fluoroscopy has not been found yet.…”

Section: Clinical Applications Of Fluoroscopy and Its Radiation Dosementioning

confidence: 99%

Simulation, visualization and dosimetric validation of scatter radiation distribution under fluoroscopy settings

Chan

Cheung

et al. 2015

JBEI

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Objective: This study developed a three-dimensional visualization method for presenting the geometric pattern of the relative dose generated by Monte Carlo (MC) simulation and validated the simulated dose values against the physical measurement. Methods:In fluoroscopy and interventional radiology examinations, relatively high level of occupational dose is delivered to healthcare workers due to prolonged radiation exposure in imaging procedures. As the spatial difference in dose is never negligible, the scatter radiation distribution under fluoroscopic exposures is thus worth investigating. MC simulation is a sophisticated statistical method, which has been widely applied for modeling scatter radiation in general X-ray examination room. However, the application and validation of MC simulation under fluoroscopy setting have not been found yet. In this study, a stack of tissue equivalent slabs were used as the object under fluoroscopic irradiation. EGSnrc-based DOSXYZnrc code was applied to simulate the scatter dose distribution and the physical measurement of radiation dose was performed using an ionization chamber radiation detector.Results: At 19 representative locations taking into account the work area and radiosensitive organs of healthcare workers, the trend compliance of the simulated with the measured dose values was examined using the correlation analysis. A significant monotonic association between the MC simulation and physical measurement of dose values was identified (r s =0.822 and P<.01). At the same horizontal distance from the irradiation axis, it was observed that the air dose was relatively higher at the level of gonad region than at the eye level. Conclusions:The proposed visualization approach illustrates a three dimensional dose simulation in local display density, which arouses the awareness about prolonged radiation exposure in clinical environment. The reliability and validity of the simulation were examined.

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“…The Monte Carlo codes in literature are mainly EGS (Malataras 1996;Ayyangar 1998;Leal 2003;Reynaert 2004), MCNP (Moraleda 2004) and GEANT (Trindade 2003;Rodrigues 2004) for radiotherapy studies.…”

Section: Dose Deposition Calculationsmentioning

confidence: 99%

Monte Carlo radiation transport in external beam radiotherapy

Çeçen

2015

Bitlis Eren University Journal of Science and Technology

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The use of Monte Carlo in radiation transport is an effective way to predict absorbed dose distributions. Monte Carlo modeling has contributed to a better understanding of photon and electron transport by radiotherapy physicists. The aim of this review is to introduce Monte Carlo as a powerful radiation transport tool. In this review, photon and electron transport algorithms for Monte Carlo techniques are investigated and a clinical linear accelerator model is studied for external beam radiotherapy. The statistical uncertainties and variance reduction techniques for Monte Carlo simulation are also discussed.

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Application of GEANT4radiation transport toolkit to dose calculations in anthropomorphic phantoms

Cited by 25 publications

References 25 publications

Radiotherapy-Induced Malignancies: Review of Clinical Features, Pathobiology, and Evolving Approaches for Mitigating Risk

Radiotherapy-Induced Malignancies: Review of Clinical Features, Pathobiology, and Evolving Approaches for Mitigating Risk

Simulation, visualization and dosimetric validation of scatter radiation distribution under fluoroscopy settings

Monte Carlo radiation transport in external beam radiotherapy

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