New method for generating breast models featuring glandular tissue spatial distribution

Paixão, Lucas; Oliveira, Bruno Beraldo; Oliveira, Marina Amaral de; Teixeira, Maria Helena Araújo; Fonseca, Telma Cristina Ferreira; Nogueira, Maria do Socorro

doi:10.1016/j.radphyschem.2015.10.023

Cited by 4 publications

(3 citation statements)

References 25 publications

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“…Great improvement has been achieved for both results and uncertainties by using K i rather than absorbed dose in air. New results are reported by Paixão et al ( 19 ) .…”

Section: Discussionmentioning

confidence: 70%

Monte Carlo derivation of filtered tungsten anode X-ray spectra for dose computation in digital mammography

et al. 2015

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ObjectiveDerive filtered tungsten X-ray spectra used in digital mammography systems by means of Monte Carlo simulations.Materials and MethodsFiltered spectra for rhodium filter were obtained for tube potentials between 26 and 32 kV. The half-value layer (HVL) of simulated filtered spectra were compared with those obtained experimentally with a solid state detector Unfors model 8202031-H Xi R/F & MAM Detector Platinum and 8201023-C Xi Base unit Platinum Plus w mAs in a Hologic Selenia Dimensions system using a direct radiography mode.ResultsCalculated HVL values showed good agreement as compared with those obtained experimentally. The greatest relative difference between the Monte Carlo calculated HVL values and experimental HVL values was 4%.ConclusionThe results show that the filtered tungsten anode X-ray spectra and the EGSnrc Monte Carlo code can be used for mean glandular dose determination in mammography.

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“…Great improvement has been achieved for both results and uncertainties by using K i rather than absorbed dose in air. New results are reported by Paixão et al ( 19 ) .…”

Section: Discussionmentioning

confidence: 70%

Monte Carlo derivation of filtered tungsten anode X-ray spectra for dose computation in digital mammography

et al. 2015

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“…The Dance's formalism is adopted for DM in the IPEM (2005), EUREF (2006) and ACR (2016) protocols. The above studies adopted the approximation of homogeneous distribution of the glandular mass in the inner breast volume, though this may lead to a bias in the estimation of the glandular dose, since the MGD may depend on the distribution of the glandular mass in the breast volume (Sechopoulos et al 2012, Paixão et al 2016, Sarno et al 2018a, Hernandez et al 2019, Chang et al 2020.…”

Section: Introductionmentioning

confidence: 99%

Normalized glandular dose coefficients for digital breast tomosynthesis systems with a homogeneous breast model

Sarno

Tucciariello²,

Mettivier³

et al. 2021

Phys. Med. Biol.

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This work aims at calculating and releasing tabulated values of dose conversion coefficients, DgNDBT, for mean glandular dose (MGD) estimates in digital breast tomosynthesis (DBT). The DgNDBT coefficients are proposed as unique conversion coefficients for MGD estimates, in place of dose conversion coefficients in mammography (DgNDM or c, g, s triad as proposed in worldwide quality assurance protocols) used together with the T correction factor. DgNDBT is the MGD per unit incident air kerma measured at the breast surface for a 0° projection and the entire tube load used for the scan. The dataset of polyenergetic DgNDBT coefficients was derived via a Monte Carlo software based on the Geant4 toolkit. Dose coefficients were calculated for a grid of values of breast characteristics (breast thickness in the range 20–90 mm and glandular fraction by mass of 1%, 25%, 50%, 75%, 100%) and the simulated geometries, scan protocols, irradiation geometries and typical spectral qualities replicated those of six commercial DBT systems (GE SenoClaire, Hologic Selenia Dimensions, GE Senographe Pristina, Fujifilm Amulet Innovality, Siemens Mammomat Inspiration and IMS Giotto Class). For given breast characteristics, target/filter combination, tube voltage and half value layer (HVL), two spectra with two HVL values have been simulated in order to permit MGD estimates from experimental HVL values via mathematical interpolation from tabulated values. The adopted breast model assumes homogenous composition of glandular and adipose tissues; it includes a 1.45 mm thick skin envelope in place of the 4–5 mm envelope commonly adopted in dosimetry protocols. The simulation code was validated versus AAPM Task group 195 Monte Carlo reference data sets (absolute differences not higher than 1.1%) and by comparison to relative dosimetry measurements with radiochromic film in a PMMA test object (differences within the maximum experimental uncertainty of 11%). The calculated coefficients show maximum relative deviations of −17.6% and +6.1% from those provided by the DBT dose coefficients adopted in the EUREF protocol and of 1.5%, on average, from data in the AAPM TG223 report. A spreadsheet is provided for interpolating the tabulated DgNDBT coefficients for arbitrary values of HVL, compressed breast thickness and glandular fraction, in the corresponding investigated ranges, for each DBT unit modeled in this work.

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“…No contexto da física médica, as radiações ionizantes são utilizadas tanto para o diagnóstico quanto para o tratamento de doenças. Por ser laboriosa e limitada, a medida da dose de radiação in vivo é também realizada através do uso de simulações MC o qual se tornou um complemento importante e indispensável para uma ampla gama de problemas que não poderiam ser resolvidos por abordagens experimentais ou analíticas [5,6,7,8].…”

Section: Introductionunclassified

Simulação de um acelerador LINAC 6MV para determinação da dose de profundidade e razão tecido fantoma utilizando MCNPx e EGSnrc

Silva¹,

Mendes²,

Paixão³

et al. 2016

Braz. J. Rad. Sci.

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The main goal of this work is to publish the results of an inter-comparison simulation exercise of a clinical 10x10 cm 2 beam model of a 6 MV LINAC using two different Monte Carlo codes: the MCNPX and EGSnrc. Results obtained for the dosimetric parameters PDD20,10 and TPR20,10 were compared with experimental data obtained in Radiotherapy and Megavoltage Institute of Minas Gerais. The main challenges on the computational modeling of this system are reported and discussed for didactic purposes in the area of modeling and simulation.

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New method for generating breast models featuring glandular tissue spatial distribution

Cited by 4 publications

References 25 publications

Monte Carlo derivation of filtered tungsten anode X-ray spectra for dose computation in digital mammography

Monte Carlo derivation of filtered tungsten anode X-ray spectra for dose computation in digital mammography

Normalized glandular dose coefficients for digital breast tomosynthesis systems with a homogeneous breast model

Simulação de um acelerador LINAC 6MV para determinação da dose de profundidade e razão tecido fantoma utilizando MCNPx e EGSnrc

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