Literature DB >> 28500759

A Monte Carlo model for mean glandular dose evaluation in spot compression mammography.

Antonio Sarno1,2, David R Dance3,4, Ruben E van Engen5, Kenneth C Young3,4, Paolo Russo1,2, Francesca Di Lillo1,2, Giovanni Mettivier1,2, Kristina Bliznakova6, Baowei Fei7,8, Ioannis Sechopoulos5,9.   

Abstract

PURPOSE: To characterize the dependence of normalized glandular dose (DgN) on various breast model and image acquisition parameters during spot compression mammography and other partial breast irradiation conditions, and evaluate alternative previously proposed dose-related metrics for this breast imaging modality.
METHODS: Using Monte Carlo simulations with both simple homogeneous breast models and patient-specific breasts, three different dose-related metrics for spot compression mammography were compared: the standard DgN, the normalized glandular dose to only the directly irradiated portion of the breast (DgNv), and the DgN obtained by the product of the DgN for full field irradiation and the ratio of the mid-height area of the irradiated breast to the entire breast area (DgNM ). How these metrics vary with field-of-view size, spot area thickness, x-ray energy, spot area and position, breast shape and size, and system geometry was characterized for the simple breast model and a comparison of the simple model results to those with patient-specific breasts was also performed.
RESULTS: The DgN in spot compression mammography can vary considerably with breast area. However, the difference in breast thickness between the spot compressed area and the uncompressed area does not introduce a variation in DgN. As long as the spot compressed area is completely within the breast area and only the compressed breast portion is directly irradiated, its position and size does not introduce a variation in DgN for the homogeneous breast model. As expected, DgN is lower than DgNv for all partial breast irradiation areas, especially when considering spot compression areas within the clinically used range. DgNM underestimates DgN by 6.7% for a W/Rh spectrum at 28 kVp and for a 9 × 9 cm2 compression paddle.
CONCLUSION: As part of the development of a new breast dosimetry model, a task undertaken by the American Association of Physicists in Medicine and the European Federation of Organizations of Medical Physics, these results provide insight on how DgN and two alternative dose metrics behave with various image acquisition and model parameters.
© 2017 American Association of Physicists in Medicine.

Entities:  

Keywords:  magnification mammography; mammography; mean glandular dose; spot compression

Mesh:

Year:  2017        PMID: 28500759      PMCID: PMC5534220          DOI: 10.1002/mp.12339

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  24 in total

1.  Glandular breast dose for monoenergetic and high-energy X-ray beams: Monte Carlo assessment.

Authors:  J M Boone
Journal:  Radiology       Date:  1999-10       Impact factor: 11.105

2.  Normalized glandular dose (DgN) coefficients for arbitrary X-ray spectra in mammography: computer-fit values of Monte Carlo derived data.

Authors:  John M Boone
Journal:  Med Phys       Date:  2002-05       Impact factor: 4.071

3.  Additional factors for the estimation of mean glandular breast dose using the UK mammography dosimetry protocol.

Authors:  D R Dance; C L Skinner; K C Young; J R Beckett; C J Kotre
Journal:  Phys Med Biol       Date:  2000-11       Impact factor: 3.609

4.  Monte Carlo calculation of conversion factors for the estimation of mean glandular breast dose.

Authors:  D R Dance
Journal:  Phys Med Biol       Date:  1990-09       Impact factor: 3.609

5.  Spectral dependence of glandular tissue dose in screen-film mammography.

Authors:  X Wu; G T Barnes; D M Tucker
Journal:  Radiology       Date:  1991-04       Impact factor: 11.105

6.  Breast dose in mammography is about 30% lower when realistic heterogeneous glandular distributions are considered.

Authors:  Andrew M Hernandez; J Anthony Seibert; John M Boone
Journal:  Med Phys       Date:  2015-11       Impact factor: 4.071

7.  GEANT4 for breast dosimetry: parameters optimization study.

Authors:  C Fedon; F Longo; G Mettivier; R Longo
Journal:  Phys Med Biol       Date:  2015-08-12       Impact factor: 3.609

8.  A novel simulation algorithm for soft tissue compression.

Authors:  Christos Zyganitidis; Kristina Bliznakova; Nicolas Pallikarakis
Journal:  Med Biol Eng Comput       Date:  2007-06-06       Impact factor: 2.602

9.  Estimation of mean glandular dose for contrast enhanced digital mammography: factors for use with the UK, European and IAEA breast dosimetry protocols.

Authors:  D R Dance; K C Young
Journal:  Phys Med Biol       Date:  2014-04-04       Impact factor: 3.609

10.  Normalized average glandular dose in molybdenum target-rhodium filter and rhodium target-rhodium filter mammography.

Authors:  X Wu; E L Gingold; G T Barnes; D M Tucker
Journal:  Radiology       Date:  1994-10       Impact factor: 11.105

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