Optimization of a tissue-equivalent CVD-diamond dosimeter for radiotherapy using the Monte Carlo code PENELOPE

Górka, Bartosz; Fernández-Varea, José M.; Panettieri, Vanessa; Nilsson, Bo

doi:10.1016/j.nima.2008.05.044

Cited by 15 publications

(10 citation statements)

References 36 publications

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“…Currently more accurate MC simulations, taking into account the exact geometry of the CVD-diamond detector prototype, seem to confirm the trend of the energy dependence seen in Fig. 7 and stress also a non-negligible role of the encapsulation [34].…”

Section: Energy Dependencementioning

confidence: 57%

“…This could be partly due not only to the high-atomic-number material of electrodes but also partly due to the not fully optimized geometry of the prototype. Therefore certain improvements to its construction as regard to the material of electrodes and geometry of the encapsulation were recently proposed by Górka et al [34]. Basic examinations performed with three encapsulated detectors showed that all of them have a high leakage current.…”

Section: Discussionmentioning

confidence: 99%

“…The air cavity inside the housing and the wall thickness can then be minimized. Monte Carlo calculations to optimize the geometry of the CVD-diamond detector, leading to even smaller directional dependence, were recently conducted [34].…”

Section: Directional Dependencementioning

confidence: 99%

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Design and characterization of a tissue-equivalent CVD-diamond detector for clinical dosimetry in high-energy photon beams

et al. 2008

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Section: Energy Dependencementioning

confidence: 57%

Section: Discussionmentioning

confidence: 99%

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Design and characterization of a tissue-equivalent CVD-diamond detector for clinical dosimetry in high-energy photon beams

et al. 2008

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“…Most MC studies do account for the dissimilar mass densities of crystalline graphite and diamond (Mobit et al 1997, Scott et al 2012, Bouchard et al 2015, Andreo and Benmakhlouf 2017, Fenwick et al 2018, Kaveckyte et al 2020. The choice of the I-value varies and only a couple of investigations have employed I = 87.6 eV (Górka et al 2006, Górka et al 2008, Marsolat et al 2015. Other articles do not specify the I-value at all, but it is reasonable to assume that it was the same as that recommended for graphite (78 eV or 81.0 eV depending on the date of publication).…”

Section: Introductionmentioning

confidence: 99%

Impact of the I-value of diamond on the energy deposition in different beam qualities

2021

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Diamond detectors are increasingly employed in dosimetry. Their response has been investigated by means of Monte Carlo (MC) methods, but there is no consensus on what mass density ρ, mean excitation energy I and number of conduction electrons per atom n ce to use in the simulations. The ambiguity occurs due to its seeming similarity with graphite (both are carbon allotropes). Except for the difference in ρ between crystalline graphite (2.265 g cm −3 ) and diamond (3.515 g cm −3 ), their dielectric properties are assumed to be identical. This is incorrect, and the two materials should be distinguished: (ρ = 2.265 g cm −3 , I = 81.0 eV, n ce = 1) for graphite and (ρ = 3.515 g cm −3 , I = 88.5 eV, n ce = 0) for diamond. Simulations done with the MC code penelope show that the energy imparted in diamond decreases by up to 1% with respect to 'pseudo-diamond' (ρ = 3.515 g cm −3 , I = 81.0 eV, n ce = 0) depending on the beam quality and cavity thickness. The energy imparted changed the most in cavities that are small compared with the range of electrons. The difference in the density-effect term relative to graphite was the smallest for diamond owing to an interplay effect that ρ, I and n ce have on this term, in contrast to pseudo-diamond media when either ρ or I alone were adjusted. The study also presents a parameterized density-effect correction function for diamond that may be used by MC codes like EGSnrc. The estar program assumes that n ce = 2 for all carbon-based materials, hence it delivers an erroneous density-effect correction term for graphite and diamond. Despite the small changes of the energy imparted in diamond simulated with two different I values and expected close-to-negligible deviation from the published smallfield output correction data, it is important to pay attention to material properties and model the medium faithfully.

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“…The quality of the results provided by the different codes is directly related to the accuracy of the implemented transport model and its data libraries associated with the cross section of the transported particles. Thus, the mixed charged particle transport algorithm, implemented by the penetration and energy loss of positron and electrons (PENELOPE) code [29], led to its intense use in radiotherapy [30][31][32][33][34][35].…”

Section: Introductionmentioning

confidence: 99%

Evaluation by Monte Carlo Simulation of Doses Distribution in Tumors with Hypoxia

Alva-Sánchez¹,

Pianoschi²

2021

Translational Research in Cancer

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Radiotherapy is one of the most useful modalities applied for tumor treatments, which use ionization radiation to eradicate the tumor, in major cases. Cells with normal oxygenation are more sensitive to the effects of ionizing radiation than those with hypoxic conditions, because O 2 molecules react rapidly with free radicals, produced by irradiation, originating highly reactive radicals. Thus, the different concentrations of hypoxia in tumors can modulate the response of the irradiation through the radioresistance they present and consequently the success of the treatment. This chapter deals with the dose distributions in cranial tumors with different concentrations of hypoxia through a code based on Monte Carlo simulation.

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Optimization of a tissue-equivalent CVD-diamond dosimeter for radiotherapy using the Monte Carlo code PENELOPE

Cited by 15 publications

References 36 publications

Design and characterization of a tissue-equivalent CVD-diamond detector for clinical dosimetry in high-energy photon beams

Design and characterization of a tissue-equivalent CVD-diamond detector for clinical dosimetry in high-energy photon beams

Impact of the I-value of diamond on the energy deposition in different beam qualities

Evaluation by Monte Carlo Simulation of Doses Distribution in Tumors with Hypoxia

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