egs_brachy: a versatile and fast Monte Carlo code for brachytherapy

Chamberland, Marc; Taylor, R. E. P.; Rogers, D. W. O.; Thomson, Rowan M.

doi:10.1088/0031-9155/61/23/8214

Cited by 71 publications

(124 citation statements)

References 36 publications

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“…Monte Carlo simulations are carried out with the EGSnrc MC software (2017 distribution) with the egs_brachy and egs_chamber applications, with details provided below. For all MC calculations, the XCOM photon cross section database is used .…”

Section: Methodsmentioning

confidence: 99%

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Investigating energy deposition in glandular tissues for mammography using multiscale Monte Carlo simulations

Oliver

Thomson

2019

Medical Physics

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Purpose To investigate energy deposition in glandular tissues of the breast on macro‐ and microscopic length scales in the context of mammography. Methods Multiscale mammography models of breasts are developed, which include segmented, voxelized macroscopic tissue structure as well as nine regions of interest (ROIs) embedded throughout the breast tissue containing explicitly‐modelled cells. Using a 30 kVp Mo/Mo spectrum, Monte Carlo (MC) techniques are used to calculate dose to ∼mm voxels containing glandular and/or adipose tissues, as well as energy deposition on cellular length scales. ROIs consist of at least 1000 mammary epithelial cells and ∼200 adipocytes; specific energy (energy imparted per unit mass; stochastic analogue of the absorbed dose) is calculated within mammary epithelial cell nuclei. Results Macroscopic dose distributions within segmented breast tissue demonstrate considerable variation in energy deposition depending on depth and tissue structure. Doses to voxels containing glandular tissue vary between ∼0.1 and ∼4 times the mean glandular dose (MGD, averaged over the entire breast). Considering microscopic length scales, mean specific energies for mammary epithelial cell nuclei are ∼30% higher than the corresponding glandular voxel dose. Additionally, due to the stochastic nature of radiation, there is considerable variation in energy deposition throughout a cell population within a ROI: for a typical glandular voxel dose of 4 mGy, the standard deviation of the specific energy for mammary epithelial cell nuclei is 85% relative to the mean. Thus, for a glandular voxel dose of 4 mGy at the centre of the breast, corresponding mammary epithelial cell nuclei will receive specific energies up to ∼9 mGy (considering the upper end of the 1σ standard deviation of the specific energy), while a ROI located 2 cm closer to the radiation source will receive specific energies up to ∼40 mGy. Energy deposition within mammary epithelial cell nuclei is sensitive to cell model details including cellular elemental compositions and nucleus size, underlining the importance of realistic cellular models. Conclusions There is considerable variation in energy deposition on both macro‐ and microscopic length scales for mammography, with glandular voxel doses and corresponding cell nuclei specific energies many times higher than the MGD in parts of the breast. These results should be considered for radiation‐induced cancer risk evaluation in mammography which has traditionally focused on a single metric such as the MGD.

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Section: Methodsmentioning

confidence: 99%

“…Dose distributions within the voxelized breast tissue models for part 1 (based on phantoms 012204, 012804 and 062204 as described in Section 2.A) are computed with egs_brachy (2017 distribution). In part 1, only a compressed breast thickness of 5 cm is considered.…”

Section: Methodsmentioning

confidence: 99%

Investigating energy deposition in glandular tissues for mammography using multiscale Monte Carlo simulations

Oliver

Thomson

2019

Medical Physics

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“…At the center of each homogeneous shell, a 100 μm thick spherical shell comprised of 20 nm diameter GNPs in a lattice embedded in water is modeled, and dose is scored in water within these regions. An isotropic point source at the center of the sphere is used assuming the spectra leaving the following seed models: OncoSeed 6711 ( 125 I), IsoRay CS1 ( 131 Cs), and TheraSeed 200 ( 103 Pd). Simulations are repeated with an all‐water geometry (no gold) to provide the denominators to compute DEFs.…”

Section: Methodsmentioning

confidence: 99%

Heterogeneous multiscale Monte Carlo simulations for gold nanoparticle radiosensitization

Martinov

Thomson

2017

Medical Physics

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By combining geometric models of varying complexity on different length scales within a single simulation, the HetMS model can effectively account for both macroscopic and microscopic effects which must both be considered for accurate computation of energy deposition and DEFs for GNPT. Efficiency gains with the HetMS approach enable diverse calculations which would otherwise be prohibitively long. The HetMS model may be extended to diverse scenarios relevant for GNPT, providing further avenues for research and development.

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“…The Oncura model 6711 seed was added to OcB for use with the TG‐43 formalism and for ACE with the help of primary scatter separated (PSS) dose data determined by the Carleton Laboratory for Radiation Physics (CLRP) group using egs_brachy . The 16 mm COMS plaque model was incorporated into the OcB applicator library via processing of three‐dimensional (3D) CAD drawings of the plaque and Silastic insert based on dimensions, seed/slot coordinates, and material properties given in the TG‐129 report .…”

Section: Methodsmentioning

confidence: 99%

Advanced Collapsed cone Engine dose calculations in tissue media for COMS eye plaques loaded with I‐125 seeds

et al. 2018

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Overall, ACE dosimetry agreed well with MC in the tumor volume and along the plaque CAX for the two heterogeneous tissue scenarios, indicating that ACE could potentially be used for clinical ocular brachytherapy dosimetry. In general, ACE data matched the fully heterogeneous MC data more closely than water-based data, even in regions where the ACE accuracy was relatively low. However, depending on the plaque position, doses to critical structures near the plaque penumbra or at tissue interfaces were less accurate, indicating that improvements may be necessary. More extensive knowledge of eye tissue compositions is still required.

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egs_brachy: a versatile and fast Monte Carlo code for brachytherapy

Cited by 71 publications

References 36 publications

Investigating energy deposition in glandular tissues for mammography using multiscale Monte Carlo simulations

Investigating energy deposition in glandular tissues for mammography using multiscale Monte Carlo simulations

Heterogeneous multiscale Monte Carlo simulations for gold nanoparticle radiosensitization

Advanced Collapsed cone Engine dose calculations in tissue media for COMS eye plaques loaded with I‐125 seeds

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