Radiotherapy dosimetry parameters intercomparison among eight gel dosimeters by Monte Carlo simulation

Mariotti, Valeria; Gayol, Amiel; Pianoschi, Thatiane Alves; Mattea, Facundo; Vedelago, José; Pérez, Pedro; Valente, M.; Alva-Sánchez, Mirko Salomón

doi:10.1016/j.radphyschem.2021.109782

Cited by 8 publications

(6 citation statements)

References 41 publications

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“…Comparing these curves can help validate the conditions used in this work. Figures 2 and 3 show the PDD curves for energies of 6 MV and Figures 2 and 3 show that both simulation codes reproduce the experimental data with a difference of less than 2% for 6 MV; this difference is comparable to Marioti et al [18] and Suda et al [70]. For 250 kV photon beam, the difference from 3.3% to 5.5% for PENELOPE code and 2.2% to 3.2% for MCNPX were found at depths between 6 and 11 cm, relative to experimental data.…”

Section: Resultssupporting

confidence: 75%

“…The PDD ratios shown in figure 7, for 250 kV, reflect significant differences for state-solid rather than gel dosimeters; even state-solid detectors (TLD-100 and GD-301) are used in some applications in medical physics [10,11,68]. Nevertheless, dosimetric gels are widely used in medical physics research (16)(17)(18)69), with differences increasing in depth, as shown in figures 5 and 7.…”

Section: Resultsmentioning

confidence: 99%

“…PDD curves were determined from the simulation results to compare the dose-response of the detectors used in the present work. The quantity PDD [18,52,63] can be obtained with the ratio between the absorbed dose at any detector position at depth related to the absorbed dose value at the maximum ionization depth along the central field axis.…”

Section: Discussionmentioning

confidence: 99%

“…Different formulations of gel dosimetry have been proposed for applications in medical physics with several beams and quality differences [14,15]. Generally, these dosimeters consist of monomers dissolved in an aqueous gel matrix with approximately 90% water composition, corroborating its equivalence in water [16][17][18][19]. When a polymeric gel sample is subjected to ionizing radiation, the polymerization can be quantified by various image methods such as magnetic resonance images (MRI), X-ray computer tomography, optical CT, ultrasound, and vibrational spectroscopy.…”

Section: Introductionmentioning

confidence: 99%

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Relative dose-response from solid-state and gel dosimeters through Monte Carlo simulations

2022

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The present work compared the relative absorbed dose of some dosimetric materials, for energies of 250 kV and 6 MV, using PENELOPE and MNCPX codes. The composition of each material GD-301, TLD-100, MAGIC, and MAGAT were simulated and disposed of in a phantom filled with water following reference conditions recommended by the TRS-398 protocol. Percentage depth dose was used as a parameter of comparison. Since the obtained results with both codes were found a maximum difference of up to 2 % when compared the water material with experimental data before 6cm were found to a maximum difference of up to 2.2% for 6 MV and 5.5 % for 250 kV. Ratios between simulated PPD and experimental PDD values showed a maximum difference in the build-up region, for 6 MV, due to highsensitivityive from the incident fluency in the simulated and experimental conditions. The ratios for 250 kV showed significant differences from the simulated solid-state rather than gel dosimeters, due to its low energy, depth angular dependence from the solid-state dosimeter, as corroborating by literature. Even the differences showed for both codes, especially for lower energy, due to cross-the section database that implied the interaction probability for each Monte Carlo code, this method has been widely used to model radiation transport in several applications in medical physics, especially in dosimetry.

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Section: Resultssupporting

confidence: 75%

Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Relative dose-response from solid-state and gel dosimeters through Monte Carlo simulations

2022

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“…Su nombre es un acrónimo del inglés PENetration and Energy LOss of Positrons and Electrons y el algoritmo se basa en un modelo de dispersión que combina bases de datos numéricas con modelos analíticos de secciones eficaces para los diferentes mecanismos de interacción. Cabe mencionar que el código base PENELOPE ha sido extensa y exitosamente aplicado al estudio de problemas en física de radiaciones y, en particular en física médica [7][8][9][10].…”

Section: Modelo Monte Carlo Basado En Penelopeunclassified

CHARACTERIZATION OF THE XR-100-CdTe AMPTEK SPECTROMETER RESPONSE BY MEANS OF MONTE CARLO SIMULATIONS USING THE PENELOPE CODE

Martín¹,

Haro²,

Valente³

2022

AnAFA

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In recent years, the study of X-ray spectrometry has promoted significant advances in various scientific areas, thus increasing the implementation of ionizing radiation in many applications of modern technology. Typical X-ray spectrometry systems consist of a set of devices that allow this radiation to be converted into a detectable electrical signal. The main spectrometer components include: the sensitive volume (detector), the multichannel pulse processing device, and the associated software. Cadmium telluride (CdTe) has been introduced as a suitable bulk-sensing semiconductor material that reports higher efficiency compared to silicon diodes. Then, the Amptek XR-100T-CdTe spectrometer has gained wide applications during the last years, mainly due to its performance achieving high efficiency up to 100 keV.The present work reports on the characterization of detector response for the Amptek XR using Monte Carlo simulations, while separately accounting for the contribution of the different spectrometer components. To this aim, the geometry along with the elemental composition properties of the different components have been carefully included in the simulation setup. A kernel-based approach has been implemented to study the response of the detector using narrow monoenergetic X-ray beams having incident kinetic energy within [5-1000] keV, and discriminating the relative contribution for each kernel attributable to the different spectrometer components. Finally, the simulation results have been compared with the efficiency curve reported by the manufacturer, showing good agreement with the kernel based approach characterization when the CdTe sensitive volume along with the Be vacuum window are taken into account.

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Advancements and applications of dosimetry techniques in modern medical radiation therapy: a comprehensive review

Salman,

Radzi,

Rahman

et al. 2024

J Radioanal Nucl Chem

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Radiotherapy dosimetry parameters intercomparison among eight gel dosimeters by Monte Carlo simulation

Cited by 8 publications

References 41 publications

Relative dose-response from solid-state and gel dosimeters through Monte Carlo simulations

Relative dose-response from solid-state and gel dosimeters through Monte Carlo simulations

CHARACTERIZATION OF THE XR-100-CdTe AMPTEK SPECTROMETER RESPONSE BY MEANS OF MONTE CARLO SIMULATIONS USING THE PENELOPE CODE

Advancements and applications of dosimetry techniques in modern medical radiation therapy: a comprehensive review

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