Dosimetry of a Small Air Cavity for Clinical Electron Beams: A Monte Carlo Study

Chow, J; Григоров, Г

doi:10.1016/j.meddos.2009.03.004

Cited by 6 publications

(2 citation statements)

References 42 publications

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“…Recently, Chow and Grigorov [12] published an investigation of the dosimetric impact of an air cavity for electron beams by using Monte Carlo calculations. They evaluated the variation of the cavity effect versus beam energy as well as size and position of the cavity, considering always the cavities located at depths deeper than 5 mm.…”

Section: Introductionmentioning

confidence: 99%

Dosimetric effect by shallow air cavities in high energy electron beams

et al. 2014

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a b s t r a c tThis study evaluates the dosimetric impact caused by an air cavity located at 2 mm depth from the top surface in a PMMA phantom irradiated by electron beams produced by a Siemens Primus linear accelerator. A systematic evaluation of the effect related to the cavity area and thickness as well as to the electron beam energy was performed by using Monte Carlo simulations (EGSnrc code), Pencil Beam algorithm and Gafchromic EBT2 films. A home-PMMA phantom with the same geometry as the simulated one was specifically constructed for the measurements. Our results indicate that the presence of the cavity causes an increase (up to 70%) of the dose maximum value as well as a shift forward of the position of the depthedose curve, compared to the homogeneous one. Pronounced dose discontinuities in the regions close to the lateral cavity edges are observed. The shape and magnitude of these discontinuities change with the dimension of the cavity. It is also found that the cavity effect is more pronounced (6%) for the 12 MeV electron beam and the presence of cavities with large thickness and small area introduces more significant variations (up to 70%) on the depthedose curves.Overall, the Gafchromic EBT2 film measurements were found in agreement within 3% with Monte Carlo calculations and predict well the fine details of the dosimetric change near the cavity interface. The Pencil Beam calculations underestimate the dose up to 40% compared to Monte Carlo simulations; in particular for the largest cavity thickness (2.8 cm).

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Section: Introductionmentioning

confidence: 99%

Dosimetric effect by shallow air cavities in high energy electron beams

et al. 2014

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“…In fact, the Monte Carlo simulation is one of the most J Biomed Phys Eng 2019; 9 (1) www.jbpe.org Seif F. et al accurate calculation methods for radiotherapy dose [2,3]. In the studies carried out in this field, the occurrence of disorders due to the air inhomogeneities close to the intersection of air-tissue, and consequently, overdose and underdose in the surrounding areas have been reported [4][5][6][7][8][9][10]. For instance, when treating a tumor close to an air cavity in the head and neck region, underdose could occur in the intersection of air-tissue [11,12].…”

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confidence: 99%

Investigating the Effect of Air Cavities of Sinuses on the Radiotherapy Dose Distribution Using Monte Carlo Method

Seif¹,

Bayatiani²,

Hamidi³

et al. 2019

J Biomed Phys Eng

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Background: Considering that some vital organs exist in the head and neck region, the treatment of tumors in this area is a crucial task. The existence of air cavities, namely sinuses, disrupt the radiotherapy dose distribution. The study aims to analyze the effect of maxillary, frontal, ethmoid and sphenoid sinuses on radiotherapy dose distribution by Monte Carlo method.Materials and Methods: In order to analyze the effect of the cavities on dose distribution, the maxillary, frontal, ethmoid and sphenoid sinus cavities were simulated with (3×3.2×2) cm3, (2×2×3.2) cm3, (1×1×1.2) cm3 and(1×1×2) cm3 dimensions.Results: In the analysis of the dose distribution caused by cavities, some parameters were observed, including: inhomogeneity of dose distribution in the cavities, inhomogeneity of dose on the edges of the air cavities and dispersion of the radiations after the air cavity. The amount of the dose in various situations showed differences: before the cavity a 0.64% and a 2.76% decrease, a 12.06% and a 17.17% decrease in the air zone, and a 2.25% and a 5.9% increase after the cavity.Conclusion: The results indicate that a drop in dose before the air cavities and in the air zone occurs due to the lack of scattered radiation. Furthermore, the rise in dose was due to the passage of more radiation from the air cavity and dose deposition after the air cavity. The changes in dose distribution are dependent on the cavity size and depth. As a result, this has to be noted in the treatment planning and MU calculations of the patient.

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Application of Nanoparticle Materials in Radiation Therapy

Chow

2017

Handbook of Ecomaterials

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Dosimetry of a Small Air Cavity for Clinical Electron Beams: A Monte Carlo Study

Cited by 6 publications

References 42 publications

Dosimetric effect by shallow air cavities in high energy electron beams

Dosimetric effect by shallow air cavities in high energy electron beams

Investigating the Effect of Air Cavities of Sinuses on the Radiotherapy Dose Distribution Using Monte Carlo Method

Application of Nanoparticle Materials in Radiation Therapy

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